Title: Openai/693898f7-dc14-8005-891c-aacd87e3c53a - freem

URL Source: https://freemwiki.com/wiki/Openai/693898f7-dc14-8005-891c-aacd87e3c53a

Markdown Content:
_This conversation was exported from ChatGPT_[[1]](https://freemwiki.com/wiki/Openai/693898f7-dc14-8005-891c-aacd87e3c53a#cite_note-1)

## gpt-5-1[[edit](https://freemwiki.com/index.php?title=Openai/693898f7-dc14-8005-891c-aacd87e3c53a&veaction=edit&section=1 "Edit section: gpt-5-1") | [edit source](https://freemwiki.com/index.php?title=Openai/693898f7-dc14-8005-891c-aacd87e3c53a&action=edit&section=1 "Edit section's source code: gpt-5-1")]

### User: which LLM leads in the leaderboards?[[edit](https://freemwiki.com/index.php?title=Openai/693898f7-dc14-8005-891c-aacd87e3c53a&veaction=edit&section=2 "Edit section: User: which LLM leads in the leaderboards?") | [edit source](https://freemwiki.com/index.php?title=Openai/693898f7-dc14-8005-891c-aacd87e3c53a&action=edit&section=2 "Edit section's source code: User: which LLM leads in the leaderboards?")]

which LLM leads in the leaderboards?

### Assistant: It depends a bit on which benchmark or “leaderboard” you mean — reasoning?[[edit](https://freemwiki.com/index.php?title=Openai/693898f7-dc14-8005-891c-aacd87e3c53a&veaction=edit&section=3 "Edit section: Assistant: It depends a bit on which benchmark or “leaderboard” you mean — reasoning?") | [edit source](https://freemwiki.com/index.php?title=Openai/693898f7-dc14-8005-891c-aacd87e3c53a&action=edit&section=3 "Edit section's source code: Assistant: It depends a bit on which benchmark or “leaderboard” you mean — reasoning?")]

It depends a bit on which benchmark or “leaderboard” you mean — reasoning? coding? long-context? But as of late 2025, several Large Language Models (LLMs) are routinely topping public leaderboards. Here’s a quick snapshot of who’s “leading” — and where.

#### 🔝 Leading LLMs overall & by use-case[[edit](https://freemwiki.com/index.php?title=Openai/693898f7-dc14-8005-891c-aacd87e3c53a&veaction=edit&section=4 "Edit section: 🔝 Leading LLMs overall & by use-case") | [edit source](https://freemwiki.com/index.php?title=Openai/693898f7-dc14-8005-891c-aacd87e3c53a&action=edit&section=4 "Edit section's source code: 🔝 Leading LLMs overall & by use-case")]

*   Gemini 2.5 Pro — frequently ranks #1 on large-scale leaderboards for general reasoning, coding and long-context tasks. BRACAI AI Consulting[[2]](https://freemwiki.com/wiki/Openai/693898f7-dc14-8005-891c-aacd87e3c53a#cite_note-2)
*   Grok 4 (from xAI) — often close behind or competitive, especially valued for reasoning abilities. BRACAI AI Consulting[[3]](https://freemwiki.com/wiki/Openai/693898f7-dc14-8005-891c-aacd87e3c53a#cite_note-3)
*   GPT‑5 / variants (e.g. “GPT-5 High”) — according to some ranking lists, holds top positions when combining text, code and general-purpose capabilities. techaimag.com[[4]](https://freemwiki.com/wiki/Openai/693898f7-dc14-8005-891c-aacd87e3c53a#cite_note-4)
*   Claude 3.7 Sonnet (and related Claude versions) — often praised for safety, instruction-following, reasoning and balanced performance across benchmarks. BRACAI AI Consulting[[5]](https://freemwiki.com/wiki/Openai/693898f7-dc14-8005-891c-aacd87e3c53a#cite_note-5)

#### 📊 Example — “Leaderboard” results from a 2025 snapshot[[edit](https://freemwiki.com/index.php?title=Openai/693898f7-dc14-8005-891c-aacd87e3c53a&veaction=edit&section=5 "Edit section: 📊 Example — “Leaderboard” results from a 2025 snapshot") | [edit source](https://freemwiki.com/index.php?title=Openai/693898f7-dc14-8005-891c-aacd87e3c53a&action=edit&section=5 "Edit section's source code: 📊 Example — “Leaderboard” results from a 2025 snapshot")]

One recent public leaderboard (the “LLM arena leaderboard”) lists top scores as: BRACAI AI Consulting[[6]](https://freemwiki.com/wiki/Openai/693898f7-dc14-8005-891c-aacd87e3c53a#cite_note-6)

| Rank | Model | Arena Score | | ---- | ----------------- | ----------- | | 1 | Gemini 2.5 Pro | 1474 | | 2 | Grok 4 | 1438 | | 3 | GPT‑o3 | 1431 | | 4 | Claude 3.7 Sonnet | 1343 | | 5 | Llama 4 | 1292 |

This suggests that — at least in that evaluation — Gemini 2.5 Pro leads, followed by Grok 4 and GPT-o3. BRACAI AI Consulting[[7]](https://freemwiki.com/wiki/Openai/693898f7-dc14-8005-891c-aacd87e3c53a#cite_note-7)

#### ⚠️ Why “leading” is nuanced[[edit](https://freemwiki.com/index.php?title=Openai/693898f7-dc14-8005-891c-aacd87e3c53a&veaction=edit&section=6 "Edit section: ⚠️ Why “leading” is nuanced") | [edit source](https://freemwiki.com/index.php?title=Openai/693898f7-dc14-8005-891c-aacd87e3c53a&action=edit&section=6 "Edit section's source code: ⚠️ Why “leading” is nuanced")]

*   Different benchmarks measure different skills (reasoning, code generation, long-context, multimodal, instruction-following, etc.), so one model may lead in reasoning but another in coding.
*   Benchmarks evolve fast — what leads today may be overtaken soon.
*   “Open-source vs proprietary”, “context window size”, “cost”, “latency” and “safety / alignment” matter a lot in real-world use, not just raw leaderboard ranking.

If you like — I can pull up a table of top 10 LLMs (as of Dec 2025) across 5–6 major benchmarks (reasoning, coding, long context, multimodal, safety).

More on recent LLM benchmark & leaderboard updatesventurebeat.comGoogle unveils Gemini 3 claiming the lead in math, science, multimodal, agentic AI benchmarks21 days ago[[8]](https://freemwiki.com/wiki/Openai/693898f7-dc14-8005-891c-aacd87e3c53a#cite_note-8)the-decoder.comPopular AI benchmark LMArena allegedly favors large providers, study claimsMay 9, 2025[[9]](https://freemwiki.com/wiki/Openai/693898f7-dc14-8005-891c-aacd87e3c53a#cite_note-9)spectrum.ieee.orgGoogle Succeeds With LLMs While Meta and OpenAI StumbleMay 9, 2025[[10]](https://freemwiki.com/wiki/Openai/693898f7-dc14-8005-891c-aacd87e3c53a#cite_note-10)

## References[[edit](https://freemwiki.com/index.php?title=Openai/693898f7-dc14-8005-891c-aacd87e3c53a&veaction=edit&section=7 "Edit section: References") | [edit source](https://freemwiki.com/index.php?title=Openai/693898f7-dc14-8005-891c-aacd87e3c53a&action=edit&section=7 "Edit section's source code: References")]

1.   [↑](https://freemwiki.com/wiki/Openai/693898f7-dc14-8005-891c-aacd87e3c53a#cite_ref-1 "Jump up")["LLM leaderboard rankings"](https://chatgpt.com/share/693898f7-dc14-8005-891c-aacd87e3c53a). ChatGPT. Retrieved 2025-12-09.
2.   [↑](https://freemwiki.com/wiki/Openai/693898f7-dc14-8005-891c-aacd87e3c53a#cite_ref-2 "Jump up")["BRACAI AI Consulting"](https://www.bracai.eu/post/llm-arena-leaderboard). BRACAI AI Consulting. Retrieved 2025-12-09.
3.   [↑](https://freemwiki.com/wiki/Openai/693898f7-dc14-8005-891c-aacd87e3c53a#cite_ref-3 "Jump up")["BRACAI AI Consulting"](https://www.bracai.eu/post/llm-arena-leaderboard). BRACAI AI Consulting. Retrieved 2025-12-09.
4.   [↑](https://freemwiki.com/wiki/Openai/693898f7-dc14-8005-891c-aacd87e3c53a#cite_ref-4 "Jump up")["techaimag.com"](https://www.techaimag.com/llm-leaderboard/top-2025-ai-models-llm-leaderboard). techaimag.com. Retrieved 2025-12-09.
5.   [↑](https://freemwiki.com/wiki/Openai/693898f7-dc14-8005-891c-aacd87e3c53a#cite_ref-5 "Jump up")["BRACAI AI Consulting"](https://www.bracai.eu/post/llm-arena-leaderboard). BRACAI AI Consulting. Retrieved 2025-12-09.
6.   [↑](https://freemwiki.com/wiki/Openai/693898f7-dc14-8005-891c-aacd87e3c53a#cite_ref-6 "Jump up")["BRACAI AI Consulting"](https://www.bracai.eu/post/llm-arena-leaderboard). BRACAI AI Consulting. Retrieved 2025-12-09.
7.   [↑](https://freemwiki.com/wiki/Openai/693898f7-dc14-8005-891c-aacd87e3c53a#cite_ref-7 "Jump up")["BRACAI AI Consulting"](https://www.bracai.eu/post/llm-arena-leaderboard). BRACAI AI Consulting. Retrieved 2025-12-09.
8.   [↑](https://freemwiki.com/wiki/Openai/693898f7-dc14-8005-891c-aacd87e3c53a#cite_ref-8 "Jump up")["venturebeat.comGoogle unveils Gemini 3 claiming the lead in math, science, multimodal, agentic AI benchmarks21 days ago"](https://venturebeat.com/ai/google-unveils-gemini-3-claiming-the-lead-in-math-science-multimodal-and). venturebeat.comGoogle unveils Gemini 3 claiming the lead in math, science, multimodal, agentic AI benchmarks21 days ago. Retrieved 2025-12-09.
9.   [↑](https://freemwiki.com/wiki/Openai/693898f7-dc14-8005-891c-aacd87e3c53a#cite_ref-9 "Jump up")["the-decoder.comPopular AI benchmark LMArena allegedly favors large providers, study claimsMay 9, 2025"](https://the-decoder.com/popular-ai-benchmark-lmarena-allegedly-systematically-favors-large-providers-study-claims/). the-decoder.comPopular AI benchmark LMArena allegedly favors large providers, study claimsMay 9, 2025. Retrieved 2025-12-09.
10.   [↑](https://freemwiki.com/wiki/Openai/693898f7-dc14-8005-891c-aacd87e3c53a#cite_ref-10 "Jump up")["spectrum.ieee.orgGoogle Succeeds With LLMs While Meta and OpenAI StumbleMay 9, 2025"](https://spectrum.ieee.org/large-language-models-2025). spectrum.ieee.orgGoogle Succeeds With LLMs While Meta and OpenAI StumbleMay 9, 2025. Retrieved 2025-12-09.