Title: Openai/696a677f-b378-800c-b260-be955277fa54 - freem URL Source: https://freemwiki.com/index.php?oldid=595730&title=Openai%2F696a677f-b378-800c-b260-be955277fa54 Markdown Content: (diff) ← Older revision | Latest revision (diff) | Newer revision → (diff) _This conversation was exported from ChatGPT_[[1]](https://freemwiki.com/index.php?oldid=595730&title=Openai%2F696a677f-b378-800c-b260-be955277fa54#cite_note-1) ## gpt-5-2[[edit](https://freemwiki.com/index.php?title=Openai/696a677f-b378-800c-b260-be955277fa54&veaction=edit§ion=1 "Edit section: gpt-5-2") | [edit source](https://freemwiki.com/index.php?title=Openai/696a677f-b378-800c-b260-be955277fa54&action=edit§ion=1 "Edit section's source code: gpt-5-2")] ### User: Can you tell me what the top 10 LLM's are?[[edit](https://freemwiki.com/index.php?title=Openai/696a677f-b378-800c-b260-be955277fa54&veaction=edit§ion=2 "Edit section: User: Can you tell me what the top 10 LLM's are?") | [edit source](https://freemwiki.com/index.php?title=Openai/696a677f-b378-800c-b260-be955277fa54&action=edit§ion=2 "Edit section's source code: User: Can you tell me what the top 10 LLM's are?")] Can you tell me what the top 10 LLM's are? And what their best at as compared to the others in the Top 10? ### Assistant: Here’s a current 2026 snapshot of the leading Large Language Models LLMs with a Top 10 ranking and what each is best at…[[edit](https://freemwiki.com/index.php?title=Openai/696a677f-b378-800c-b260-be955277fa54&veaction=edit§ion=3 "Edit section: Assistant: Here’s a current 2026 snapshot of the leading Large Language Models LLMs with a Top 10 ranking and what each is best at…") | [edit source](https://freemwiki.com/index.php?title=Openai/696a677f-b378-800c-b260-be955277fa54&action=edit§ion=3 "Edit section's source code: Assistant: Here’s a current 2026 snapshot of the leading Large Language Models LLMs with a Top 10 ranking and what each is best at…")] Here’s a current 2026 snapshot of the leading Large Language Models (LLMs) with a Top 10 ranking and what each is best at relative to others. Rankings reflect general performance, breadth of capability, and real-world usage based on recent AI industry comparisons and benchmarks. Botpress[[2]](https://freemwiki.com/index.php?oldid=595730&title=Openai%2F696a677f-b378-800c-b260-be955277fa54#cite_note-2) #### ###[[edit](https://freemwiki.com/index.php?title=Openai/696a677f-b378-800c-b260-be955277fa54&veaction=edit§ion=4 "Edit section: ###") | [edit source](https://freemwiki.com/index.php?title=Openai/696a677f-b378-800c-b260-be955277fa54&action=edit§ion=4 "Edit section's source code: ###")] Best at: All-around intelligence, reasoning, multimodal understanding, code generation, and large-context tasks. * Industry standard for general reasoning, creative generation, dialogue, coding help, and multimodal inputs (text, image, audio). * Excellent API ecosystem, deep integrations (e.g., GitHub Copilot). * Strong language translation quality. clarifai.com[[3]](https://freemwiki.com/index.php?oldid=595730&title=Openai%2F696a677f-b378-800c-b260-be955277fa54#cite_note-3) ##### Best at: Safe and controlled outputs, nuanced reasoning, long-context memory.[[edit](https://freemwiki.com/index.php?title=Openai/696a677f-b378-800c-b260-be955277fa54&veaction=edit§ion=5 "Edit section: Best at: Safe and controlled outputs, nuanced reasoning, long-context memory.") | [edit source](https://freemwiki.com/index.php?title=Openai/696a677f-b378-800c-b260-be955277fa54&action=edit§ion=5 "Edit section's source code: Best at: Safe and controlled outputs, nuanced reasoning, long-context memory.")] * Particularly good for enterprise chatbots and applications where safety, consistency, and ethical constraints matter. * Often yields more reflective, less “edgy” outputs compared to others. Zapier[[4]](https://freemwiki.com/index.php?oldid=595730&title=Openai%2F696a677f-b378-800c-b260-be955277fa54#cite_note-4) ##### Best at: Real-world knowledge, search-integrated factuality, multimodal reasoning.[[edit](https://freemwiki.com/index.php?title=Openai/696a677f-b378-800c-b260-be955277fa54&veaction=edit§ion=6 "Edit section: Best at: Real-world knowledge, search-integrated factuality, multimodal reasoning.") | [edit source](https://freemwiki.com/index.php?title=Openai/696a677f-b378-800c-b260-be955277fa54&action=edit§ion=6 "Edit section's source code: Best at: Real-world knowledge, search-integrated factuality, multimodal reasoning.")] * Integrated with Google Search makes it strong for real-time factual tasks and broad knowledge retrieval. * Fast results on everyday questions. clarifai.com[[5]](https://freemwiki.com/index.php?oldid=595730&title=Openai%2F696a677f-b378-800c-b260-be955277fa54#cite_note-5) ##### Best at: Conversational engagement, real-time cultural context, humor style.[[edit](https://freemwiki.com/index.php?title=Openai/696a677f-b378-800c-b260-be955277fa54&veaction=edit§ion=7 "Edit section: Best at: Conversational engagement, real-time cultural context, humor style.") | [edit source](https://freemwiki.com/index.php?title=Openai/696a677f-b378-800c-b260-be955277fa54&action=edit§ion=7 "Edit section's source code: Best at: Conversational engagement, real-time cultural context, humor style.")] * Conversationally fluent and engaging; attracts users for chat experiences with personality. * Can be less precise than leading models on strict reasoning tasks. Botpress[[6]](https://freemwiki.com/index.php?oldid=595730&title=Openai%2F696a677f-b378-800c-b260-be955277fa54#cite_note-6) ##### Best at: Open-source adaptability and custom deployment.[[edit](https://freemwiki.com/index.php?title=Openai/696a677f-b378-800c-b260-be955277fa54&veaction=edit§ion=8 "Edit section: Best at: Open-source adaptability and custom deployment.") | [edit source](https://freemwiki.com/index.php?title=Openai/696a677f-b378-800c-b260-be955277fa54&action=edit§ion=8 "Edit section's source code: Best at: Open-source adaptability and custom deployment.")] * Strong open-source choice with robust performance across tasks. * Flexible usage for researchers and developers; supports fine-tuning and self-hosting. * Latest versions incorporate multimodal capabilities. clarifai.com[[7]](https://freemwiki.com/index.php?oldid=595730&title=Openai%2F696a677f-b378-800c-b260-be955277fa54#cite_note-7) ##### Best at: Multilingual support and enterprise deployment at scale.[[edit](https://freemwiki.com/index.php?title=Openai/696a677f-b378-800c-b260-be955277fa54&veaction=edit§ion=9 "Edit section: Best at: Multilingual support and enterprise deployment at scale.") | [edit source](https://freemwiki.com/index.php?title=Openai/696a677f-b378-800c-b260-be955277fa54&action=edit§ion=9 "Edit section's source code: Best at: Multilingual support and enterprise deployment at scale.")] * Competitive alternative in Asian markets and multilingual scenarios. * Often used where strong Chinese/English bilingual support and cost efficiency are priorities. clarifai.com[[8]](https://freemwiki.com/index.php?oldid=595730&title=Openai%2F696a677f-b378-800c-b260-be955277fa54#cite_note-8) ##### Best at: Efficient reasoning performance and cost-effective inference.[[edit](https://freemwiki.com/index.php?title=Openai/696a677f-b378-800c-b260-be955277fa54&veaction=edit§ion=10 "Edit section: Best at: Efficient reasoning performance and cost-effective inference.") | [edit source](https://freemwiki.com/index.php?title=Openai/696a677f-b378-800c-b260-be955277fa54&action=edit§ion=10 "Edit section's source code: Best at: Efficient reasoning performance and cost-effective inference.")] * Noted for strong benchmarks in classification and specific reasoning tasks. * Can outperform some mainstream models in narrow evaluation categories. arXiv[[9]](https://freemwiki.com/index.php?oldid=595730&title=Openai%2F696a677f-b378-800c-b260-be955277fa54#cite_note-9) ##### Best at: Compact reasoning and efficient deployment.[[edit](https://freemwiki.com/index.php?title=Openai/696a677f-b378-800c-b260-be955277fa54&veaction=edit§ion=11 "Edit section: Best at: Compact reasoning and efficient deployment.") | [edit source](https://freemwiki.com/index.php?title=Openai/696a677f-b378-800c-b260-be955277fa54&action=edit§ion=11 "Edit section's source code: Best at: Compact reasoning and efficient deployment.")] * Known for high performance per compute cost and quick inference. * Useful when compute is constrained. clarifai.com[[10]](https://freemwiki.com/index.php?oldid=595730&title=Openai%2F696a677f-b378-800c-b260-be955277fa54#cite_note-10) ##### Best at: Advanced reasoning and coding among open-source models.[[edit](https://freemwiki.com/index.php?title=Openai/696a677f-b378-800c-b260-be955277fa54&veaction=edit§ion=12 "Edit section: Best at: Advanced reasoning and coding among open-source models.") | [edit source](https://freemwiki.com/index.php?title=Openai/696a677f-b378-800c-b260-be955277fa54&action=edit§ion=12 "Edit section's source code: Best at: Advanced reasoning and coding among open-source models.")] * Competitive open-weight model with long-context ability and strong benchmarks at a fraction of proprietary costs. DataCamp[[11]](https://freemwiki.com/index.php?oldid=595730&title=Openai%2F696a677f-b378-800c-b260-be955277fa54#cite_note-11) ##### Best at: Practical, smaller footprint deployments with chain-of-thought support.[[edit](https://freemwiki.com/index.php?title=Openai/696a677f-b378-800c-b260-be955277fa54&veaction=edit§ion=13 "Edit section: Best at: Practical, smaller footprint deployments with chain-of-thought support.") | [edit source](https://freemwiki.com/index.php?title=Openai/696a677f-b378-800c-b260-be955277fa54&action=edit§ion=13 "Edit section's source code: Best at: Practical, smaller footprint deployments with chain-of-thought support.")] * Enables local or private inference without cloud dependency. * Not as powerful as proprietary flagship models but strong among open weights. DataCamp[[12]](https://freemwiki.com/index.php?oldid=595730&title=Openai%2F696a677f-b378-800c-b260-be955277fa54#cite_note-12) #### | | |[[edit](https://freemwiki.com/index.php?title=Openai/696a677f-b378-800c-b260-be955277fa54&veaction=edit§ion=14 "Edit section: | | |") | [edit source](https://freemwiki.com/index.php?title=Openai/696a677f-b378-800c-b260-be955277fa54&action=edit§ion=14 "Edit section's source code: | | |")] | --- | --- | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | #### - Best “all-purpose”: GPT-4o/GPT-5 — broad capability across domains.[[edit](https://freemwiki.com/index.php?title=Openai/696a677f-b378-800c-b260-be955277fa54&veaction=edit§ion=15 "Edit section: - Best “all-purpose”: GPT-4o/GPT-5 — broad capability across domains.") | [edit source](https://freemwiki.com/index.php?title=Openai/696a677f-b378-800c-b260-be955277fa54&action=edit§ion=15 "Edit section's source code: - Best “all-purpose”: GPT-4o/GPT-5 — broad capability across domains.")] * Best for controlled, enterprise contexts: Claude 4 — safety and alignment. * Best factual query/knowledge access: Gemini — search-aware intelligence. * Best for open-source development: Llama 4, GLM 4.6, GPT-OSS — no licensing costs. * Best conversational style: Grok 3 — engaging tone. Zapier[[13]](https://freemwiki.com/index.php?oldid=595730&title=Openai%2F696a677f-b378-800c-b260-be955277fa54#cite_note-13) If you would like, I can deepen this comparison into a table showing specific benchmark strengths (e.g., reasoning, coding, translation, multimodality), licensing differences (open-source vs proprietary), or typical costs to deploy each model in an enterprise scenario. ### User: Yes, please ad that as well.[[edit](https://freemwiki.com/index.php?title=Openai/696a677f-b378-800c-b260-be955277fa54&veaction=edit§ion=16 "Edit section: User: Yes, please ad that as well.") | [edit source](https://freemwiki.com/index.php?title=Openai/696a677f-b378-800c-b260-be955277fa54&action=edit§ion=16 "Edit section's source code: User: Yes, please ad that as well.")] Yes, please ad that as well. ### Assistant: Here is a comprehensive comparison of the Top 10 Large Language Models LLMs in 2026 — including what each is best at ac…[[edit](https://freemwiki.com/index.php?title=Openai/696a677f-b378-800c-b260-be955277fa54&veaction=edit§ion=17 "Edit section: Assistant: Here is a comprehensive comparison of the Top 10 Large Language Models LLMs in 2026 — including what each is best at ac…") | [edit source](https://freemwiki.com/index.php?title=Openai/696a677f-b378-800c-b260-be955277fa54&action=edit§ion=17 "Edit section's source code: Assistant: Here is a comprehensive comparison of the Top 10 Large Language Models LLMs in 2026 — including what each is best at ac…")] Here is a comprehensive comparison of the Top 10 Large Language Models (LLMs) in 2026 — including what each is best at across key technical categories such as reasoning, coding, translation, multimodal understanding, context handling, and cost/efficiency. Where benchmarks or comparative performance details are publicly available, they are cited. Vellum[[14]](https://freemwiki.com/index.php?oldid=595730&title=Openai%2F696a677f-b378-800c-b260-be955277fa54#cite_note-14) #### Top 10 LLMs in 2026 + What Each Excels At[[edit](https://freemwiki.com/index.php?title=Openai/696a677f-b378-800c-b260-be955277fa54&veaction=edit§ion=18 "Edit section: Top 10 LLMs in 2026 + What Each Excels At") | [edit source](https://freemwiki.com/index.php?title=Openai/696a677f-b378-800c-b260-be955277fa54&action=edit§ion=18 "Edit section's source code: Top 10 LLMs in 2026 + What Each Excels At")] | Rank | Model | Best Strengths Compared to Others | | ---------------------------------------- | ------------------------------------------------------------------------------------------------------------------------ | --------------------------------- | | 1. GPT-5 / GPT-5.2 (OpenAI) | General intelligence & balance – leading broad reasoning, dynamic task adaptation, code generation, natural language understanding, and robust factuality. Excellent all-purpose performance across benchmarks. LLM Stats | | | 2. Claude 4 / Claude Opus 4 (Anthropic) | Coding & extended reasoning – standout in coding benchmarks and long context handling, with safety-oriented outputs and consistency on multi-step workflows. Tom's Guide +1 | | | 3. Gemini 3 Pro (Google) | Multimodal & factual reasoning – top scores in complex multimodal tasks (text + vision + reasoning), excels in handling real-world search-integrated queries and cross-modal challenges. IT Pro | | | 4. Grok 4 (xAI) | Conversational engagement & benchmark relevance – strong reasoning and coding results; highly interactive and engaging dialogue behavior. DataCamp | | | 5. Llama 4 Series (Meta) | Open-source flexibility & large context – excellent for developers who need customization, self-hosting, long-document analysis, and multilingual generative tasks. Vellum | | | 6. DeepSeek V/R Series | Efficient reasoning & task optimization – competitive reasoning accuracy and cost performance for classification and structured problem solving. Azumo | | | 7. Qwen 3 Family (Alibaba) | Multilingual & enterprise deployment – good for broad language support and scalable deployments in enterprise and marketplace contexts. Vellum | | | 8. Mistral Large 2 | Efficient performance per compute cost – strong inference efficiency, making it practical for lean production environments. Vellum | | | 9. GLM 4.6 (Open-Source) | Open-source reasoning & developer friendliness – strong for community projects; often performs well on specialized reasoning tests after fine-tuning. BentoML | | | 10. GPT-OSS / OpenAI Open-Source lineage | Private/local deployment – good for low-latency local inference and privacy-constrained setups; chain-of-thought support enhances reasoning in modular scenarios. BentoML | | #### Detailed Comparative Strengths by Task[[edit](https://freemwiki.com/index.php?title=Openai/696a677f-b378-800c-b260-be955277fa54&veaction=edit§ion=19 "Edit section: Detailed Comparative Strengths by Task") | [edit source](https://freemwiki.com/index.php?title=Openai/696a677f-b378-800c-b260-be955277fa54&action=edit§ion=19 "Edit section's source code: Detailed Comparative Strengths by Task")] Below is a task-focused comparison to help you choose the best model for a specific need: ##### Reasoning[[edit](https://freemwiki.com/index.php?title=Openai/696a677f-b378-800c-b260-be955277fa54&veaction=edit§ion=20 "Edit section: Reasoning") | [edit source](https://freemwiki.com/index.php?title=Openai/696a677f-b378-800c-b260-be955277fa54&action=edit§ion=20 "Edit section's source code: Reasoning")] * Top Performers: Gemini 3 Pro and GPT-5 variants generally lead broad reasoning benchmarks. Gemini scores highly across multimodal reasoning tests; GPT-5 delivers robust performance across math, logic, and complex tasks. DataCamp[[15]](https://freemwiki.com/index.php?oldid=595730&title=Openai%2F696a677f-b378-800c-b260-be955277fa54#cite_note-15) * Strong Runner-Ups: Claude Opus 4 excels in extended reasoning with safety constraints. Tom's Guide[[16]](https://freemwiki.com/index.php?oldid=595730&title=Openai%2F696a677f-b378-800c-b260-be955277fa54#cite_note-16) ##### Coding & Software Generation[[edit](https://freemwiki.com/index.php?title=Openai/696a677f-b378-800c-b260-be955277fa54&veaction=edit§ion=21 "Edit section: Coding & Software Generation") | [edit source](https://freemwiki.com/index.php?title=Openai/696a677f-b378-800c-b260-be955277fa54&action=edit§ion=21 "Edit section's source code: Coding & Software Generation")] * Leaders: Claude Opus 4 often tops coding benchmarks; GPT-5 is highly capable for real-time coding assistance and IDE workflows. The Verge[[17]](https://freemwiki.com/index.php?oldid=595730&title=Openai%2F696a677f-b378-800c-b260-be955277fa54#cite_note-17) * Close Contenders: Grok 4 and Gemini 3 Pro also deliver strong coding outputs in many languages. DataCamp[[18]](https://freemwiki.com/index.php?oldid=595730&title=Openai%2F696a677f-b378-800c-b260-be955277fa54#cite_note-18) ##### Multimodal Understanding (Text, Image, Audio)[[edit](https://freemwiki.com/index.php?title=Openai/696a677f-b378-800c-b260-be955277fa54&veaction=edit§ion=22 "Edit section: Multimodal Understanding (Text, Image, Audio)") | [edit source](https://freemwiki.com/index.php?title=Openai/696a677f-b378-800c-b260-be955277fa54&action=edit§ion=22 "Edit section's source code: Multimodal Understanding (Text, Image, Audio)")] * Best: Gemini 3 Pro has been reported to outperform other models on multimodal reasoning benchmarks (visual + language). IT Pro[[19]](https://freemwiki.com/index.php?oldid=595730&title=Openai%2F696a677f-b378-800c-b260-be955277fa54#cite_note-19) * Others: GPT-5 and Grok 4 also support advanced multimodal inputs, with high performance in combined text + image tasks. DataCamp[[20]](https://freemwiki.com/index.php?oldid=595730&title=Openai%2F696a677f-b378-800c-b260-be955277fa54#cite_note-20) ##### Translation & Multilingual Tasks[[edit](https://freemwiki.com/index.php?title=Openai/696a677f-b378-800c-b260-be955277fa54&veaction=edit§ion=23 "Edit section: Translation & Multilingual Tasks") | [edit source](https://freemwiki.com/index.php?title=Openai/696a677f-b378-800c-b260-be955277fa54&action=edit§ion=23 "Edit section's source code: Translation & Multilingual Tasks")] * Strong: Gemini 3 and Qwen 3 families support broad multilingual capability due to large diversified training corpora. Vellum[[21]](https://freemwiki.com/index.php?oldid=595730&title=Openai%2F696a677f-b378-800c-b260-be955277fa54#cite_note-21) * Good: Llama 4 and GLM 4.6 are often chosen for open-source multilingual deployments when customization is required. BentoML[[22]](https://freemwiki.com/index.php?oldid=595730&title=Openai%2F696a677f-b378-800c-b260-be955277fa54#cite_note-22) ##### Long Context & Document Processing[[edit](https://freemwiki.com/index.php?title=Openai/696a677f-b378-800c-b260-be955277fa54&veaction=edit§ion=24 "Edit section: Long Context & Document Processing") | [edit source](https://freemwiki.com/index.php?title=Openai/696a677f-b378-800c-b260-be955277fa54&action=edit§ion=24 "Edit section's source code: Long Context & Document Processing")] * Best: Claude and Llama 4 Series support very long context windows, enabling deep document summarization and analysis of large corpora. Vellum[[23]](https://freemwiki.com/index.php?oldid=595730&title=Openai%2F696a677f-b378-800c-b260-be955277fa54#cite_note-23) ##### Cost & Efficient Deployment[[edit](https://freemwiki.com/index.php?title=Openai/696a677f-b378-800c-b260-be955277fa54&veaction=edit§ion=25 "Edit section: Cost & Efficient Deployment") | [edit source](https://freemwiki.com/index.php?title=Openai/696a677f-b378-800c-b260-be955277fa54&action=edit§ion=25 "Edit section's source code: Cost & Efficient Deployment")] * Efficient: Mistral Large 2 and DeepSeek V/R deliver performance that balances speed and cost. Vellum[[24]](https://freemwiki.com/index.php?oldid=595730&title=Openai%2F696a677f-b378-800c-b260-be955277fa54#cite_note-24) * Open-Source: GLM 4.6 and GPT-OSS provide cost-efficient models for local or private cloud. BentoML[[25]](https://freemwiki.com/index.php?oldid=595730&title=Openai%2F696a677f-b378-800c-b260-be955277fa54#cite_note-25) #### Summary Guidance: Best Fit by Use Case[[edit](https://freemwiki.com/index.php?title=Openai/696a677f-b378-800c-b260-be955277fa54&veaction=edit§ion=26 "Edit section: Summary Guidance: Best Fit by Use Case") | [edit source](https://freemwiki.com/index.php?title=Openai/696a677f-b378-800c-b260-be955277fa54&action=edit§ion=26 "Edit section's source code: Summary Guidance: Best Fit by Use Case")] | Use Case | Best Model Choice | | ----------------------------- | --------------------- | | All-around performance | GPT-5 / Gemini 3 Pro | | Enterprise reasoning & safety | Claude Opus 4 | | Coding assistance | Claude Opus 4 / GPT-5 | | Multimodal apps | Gemini 3 Pro / GPT-5 | | Custom local deployment | Llama 4 / GPT-OSS | | Cost-efficient inference | Mistral Large 2 | #### Notes on Benchmarks & Performance[[edit](https://freemwiki.com/index.php?title=Openai/696a677f-b378-800c-b260-be955277fa54&veaction=edit§ion=27 "Edit section: Notes on Benchmarks & Performance") | [edit source](https://freemwiki.com/index.php?title=Openai/696a677f-b378-800c-b260-be955277fa54&action=edit§ion=27 "Edit section's source code: Notes on Benchmarks & Performance")] * Benchmark platforms like LMArena and independent leaderboards show Gemini 3 Pro often scoring top overall on aggregated human preference metrics and multimodal reasoning tests. DataCamp[[26]](https://freemwiki.com/index.php?oldid=595730&title=Openai%2F696a677f-b378-800c-b260-be955277fa54#cite_note-26) * Enterprise and safety-critical benchmarks still give Claude and GPT-5 top marks for controlled deployment. Azumo[[27]](https://freemwiki.com/index.php?oldid=595730&title=Openai%2F696a677f-b378-800c-b260-be955277fa54#cite_note-27) * Open-source models vary more by customization and fine-tuning than by raw out-of-the-box scores. BentoML[[28]](https://freemwiki.com/index.php?oldid=595730&title=Openai%2F696a677f-b378-800c-b260-be955277fa54#cite_note-28) If it would help, I can segment this into a decision table for specific enterprise, developer, or research contexts — including approximate pricing and typical API requirements for each model. ## References[[edit](https://freemwiki.com/index.php?title=Openai/696a677f-b378-800c-b260-be955277fa54&veaction=edit§ion=28 "Edit section: References") | [edit source](https://freemwiki.com/index.php?title=Openai/696a677f-b378-800c-b260-be955277fa54&action=edit§ion=28 "Edit section's source code: References")] 1. [↑](https://freemwiki.com/index.php?oldid=595730&title=Openai%2F696a677f-b378-800c-b260-be955277fa54#cite_ref-1 "Jump up")["Top 10 LLMs 2026"](https://chatgpt.com/share/696a677f-b378-800c-b260-be955277fa54). ChatGPT. Retrieved 2026-01-17. 2. [↑](https://freemwiki.com/index.php?oldid=595730&title=Openai%2F696a677f-b378-800c-b260-be955277fa54#cite_ref-2 "Jump up")["Botpress"](https://zapier.com/blog/best-llm/). zapier.com. Retrieved 2026-01-17. 3. [↑](https://freemwiki.com/index.php?oldid=595730&title=Openai%2F696a677f-b378-800c-b260-be955277fa54#cite_ref-3 "Jump up")["clarifai.com"](https://www.clarifai.com/blog/llms-and-ai-trends). clarifai.com. Retrieved 2026-01-17. 4. [↑](https://freemwiki.com/index.php?oldid=595730&title=Openai%2F696a677f-b378-800c-b260-be955277fa54#cite_ref-4 "Jump up")["Zapier"](https://zapier.com/blog/best-llm/). zapier.com. Retrieved 2026-01-17. 5. [↑](https://freemwiki.com/index.php?oldid=595730&title=Openai%2F696a677f-b378-800c-b260-be955277fa54#cite_ref-5 "Jump up")["clarifai.com"](https://www.clarifai.com/blog/llms-and-ai-trends). clarifai.com. Retrieved 2026-01-17. 6. [↑](https://freemwiki.com/index.php?oldid=595730&title=Openai%2F696a677f-b378-800c-b260-be955277fa54#cite_ref-6 "Jump up")["Botpress"](https://botpress.com/blog/best-large-language-models). botpress.com. Retrieved 2026-01-17. 7. [↑](https://freemwiki.com/index.php?oldid=595730&title=Openai%2F696a677f-b378-800c-b260-be955277fa54#cite_ref-7 "Jump up")["clarifai.com"](https://www.clarifai.com/blog/llms-and-ai-trends). clarifai.com. Retrieved 2026-01-17. 8. [↑](https://freemwiki.com/index.php?oldid=595730&title=Openai%2F696a677f-b378-800c-b260-be955277fa54#cite_ref-8 "Jump up")["clarifai.com"](https://www.clarifai.com/blog/llms-and-ai-trends). clarifai.com. Retrieved 2026-01-17. 9. [↑](https://freemwiki.com/index.php?oldid=595730&title=Openai%2F696a677f-b378-800c-b260-be955277fa54#cite_ref-9 "Jump up")["arXiv"](https://arxiv.org/abs/2502.03688). arxiv.org. Retrieved 2026-01-17. 10. [↑](https://freemwiki.com/index.php?oldid=595730&title=Openai%2F696a677f-b378-800c-b260-be955277fa54#cite_ref-10 "Jump up")["clarifai.com"](https://www.clarifai.com/blog/llms-and-ai-trends). clarifai.com. Retrieved 2026-01-17. 11. [↑](https://freemwiki.com/index.php?oldid=595730&title=Openai%2F696a677f-b378-800c-b260-be955277fa54#cite_ref-11 "Jump up")["DataCamp"](https://www.datacamp.com/blog/top-open-source-llms). datacamp.com. Retrieved 2026-01-17. 12. [↑](https://freemwiki.com/index.php?oldid=595730&title=Openai%2F696a677f-b378-800c-b260-be955277fa54#cite_ref-12 "Jump up")["DataCamp"](https://www.datacamp.com/blog/top-open-source-llms). datacamp.com. Retrieved 2026-01-17. 13. [↑](https://freemwiki.com/index.php?oldid=595730&title=Openai%2F696a677f-b378-800c-b260-be955277fa54#cite_ref-13 "Jump up")["Zapier"](https://zapier.com/blog/best-llm/). zapier.com. Retrieved 2026-01-17. 14. [↑](https://freemwiki.com/index.php?oldid=595730&title=Openai%2F696a677f-b378-800c-b260-be955277fa54#cite_ref-14 "Jump up")["Vellum"](https://www.vellum.ai/llm-leaderboard). vellum.ai. Retrieved 2026-01-17. 15. [↑](https://freemwiki.com/index.php?oldid=595730&title=Openai%2F696a677f-b378-800c-b260-be955277fa54#cite_ref-15 "Jump up")["DataCamp"](https://www.datacamp.com/tutorial/llm-benchmarks). datacamp.com. Retrieved 2026-01-17. 16. [↑](https://freemwiki.com/index.php?oldid=595730&title=Openai%2F696a677f-b378-800c-b260-be955277fa54#cite_ref-16 "Jump up")["Tom's Guide"](https://www.tomsguide.com/ai/what-is-claude-everything-you-need-to-know-about-anthropics-ai-powerhouse). Tom's Guide. Retrieved 2026-01-17. 17. [↑](https://freemwiki.com/index.php?oldid=595730&title=Openai%2F696a677f-b378-800c-b260-be955277fa54#cite_ref-17 "Jump up")["The Verge"](https://www.theverge.com/news/672705/anthropic-claude-4-ai-ous-sonnet-availability). The Verge. Retrieved 2026-01-17. 18. [↑](https://freemwiki.com/index.php?oldid=595730&title=Openai%2F696a677f-b378-800c-b260-be955277fa54#cite_ref-18 "Jump up")["DataCamp"](https://www.datacamp.com/tutorial/llm-benchmarks). datacamp.com. Retrieved 2026-01-17. 19. [↑](https://freemwiki.com/index.php?oldid=595730&title=Openai%2F696a677f-b378-800c-b260-be955277fa54#cite_ref-19 "Jump up")["IT Pro"](https://www.itpro.com/technology/artificial-intelligence/google-launches-flagship-gemini-3-model-and-google-antigravity-a-new-agentic-ai-development-platform). IT Pro. Retrieved 2026-01-17. 20. [↑](https://freemwiki.com/index.php?oldid=595730&title=Openai%2F696a677f-b378-800c-b260-be955277fa54#cite_ref-20 "Jump up")["DataCamp"](https://www.datacamp.com/tutorial/llm-benchmarks). datacamp.com. Retrieved 2026-01-17. 21. [↑](https://freemwiki.com/index.php?oldid=595730&title=Openai%2F696a677f-b378-800c-b260-be955277fa54#cite_ref-21 "Jump up")["Vellum"](https://www.vellum.ai/llm-leaderboard). vellum.ai. Retrieved 2026-01-17. 22. [↑](https://freemwiki.com/index.php?oldid=595730&title=Openai%2F696a677f-b378-800c-b260-be955277fa54#cite_ref-22 "Jump up")["BentoML"](https://www.bentoml.com/blog/navigating-the-world-of-open-source-large-language-models). bentoml.com. Retrieved 2026-01-17. 23. [↑](https://freemwiki.com/index.php?oldid=595730&title=Openai%2F696a677f-b378-800c-b260-be955277fa54#cite_ref-23 "Jump up")["Vellum"](https://www.vellum.ai/llm-leaderboard). vellum.ai. Retrieved 2026-01-17. 24. [↑](https://freemwiki.com/index.php?oldid=595730&title=Openai%2F696a677f-b378-800c-b260-be955277fa54#cite_ref-24 "Jump up")["Vellum"](https://www.vellum.ai/llm-leaderboard). vellum.ai. Retrieved 2026-01-17. 25. [↑](https://freemwiki.com/index.php?oldid=595730&title=Openai%2F696a677f-b378-800c-b260-be955277fa54#cite_ref-25 "Jump up")["BentoML"](https://www.bentoml.com/blog/navigating-the-world-of-open-source-large-language-models). bentoml.com. Retrieved 2026-01-17. 26. [↑](https://freemwiki.com/index.php?oldid=595730&title=Openai%2F696a677f-b378-800c-b260-be955277fa54#cite_ref-26 "Jump up")["DataCamp"](https://www.datacamp.com/tutorial/llm-benchmarks). datacamp.com. Retrieved 2026-01-17. 27. [↑](https://freemwiki.com/index.php?oldid=595730&title=Openai%2F696a677f-b378-800c-b260-be955277fa54#cite_ref-27 "Jump up")["Azumo"](https://azumo.com/artificial-intelligence/ai-insights/top-10-llms-0625). azumo.com. Retrieved 2026-01-17. 28. [↑](https://freemwiki.com/index.php?oldid=595730&title=Openai%2F696a677f-b378-800c-b260-be955277fa54#cite_ref-28 "Jump up")["BentoML"](https://www.bentoml.com/blog/navigating-the-world-of-open-source-large-language-models). bentoml.com. Retrieved 2026-01-17.