Lukegao: by freem.ai...

2025-12-10T05:23:16Z

by freem.ai...

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{{DISPLAYTITLE:LLM leaderboard rankings}}

''This conversation was exported from ChatGPT''<ref>{{cite web|title=LLM leaderboard rankings|url=https://chatgpt.com/share/693898f7-dc14-8005-891c-aacd87e3c53a|publisher=ChatGPT|access-date=2025-12-09}}</ref>

== gpt-5-1 ==
=== 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? ===
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 ====
* Gemini 2.5 Pro — frequently ranks #1 on large-scale leaderboards for general reasoning, coding and long-context tasks. BRACAI AI Consulting<ref>{{cite web|title=BRACAI AI Consulting|url=https://www.bracai.eu/post/llm-arena-leaderboard|publisher=BRACAI AI Consulting|access-date=2025-12-09}}</ref>
* Grok 4 (from xAI) — often close behind or competitive, especially valued for reasoning abilities. BRACAI AI Consulting<ref>{{cite web|title=BRACAI AI Consulting|url=https://www.bracai.eu/post/llm-arena-leaderboard|publisher=BRACAI AI Consulting|access-date=2025-12-09}}</ref>
* 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<ref>{{cite web|title=techaimag.com|url=https://www.techaimag.com/llm-leaderboard/top-2025-ai-models-llm-leaderboard|publisher=techaimag.com|access-date=2025-12-09}}</ref>
* Claude 3.7 Sonnet (and related Claude versions) — often praised for safety, instruction-following, reasoning and balanced performance across benchmarks. BRACAI AI Consulting<ref>{{cite web|title=BRACAI AI Consulting|url=https://www.bracai.eu/post/llm-arena-leaderboard|publisher=BRACAI AI Consulting|access-date=2025-12-09}}</ref>

==== 📊 Example — “Leaderboard” results from a 2025 snapshot ====

One recent public leaderboard (the “LLM arena leaderboard”) lists top scores as: BRACAI AI Consulting<ref>{{cite web|title=BRACAI AI Consulting|url=https://www.bracai.eu/post/llm-arena-leaderboard|publisher=BRACAI AI Consulting|access-date=2025-12-09}}</ref>

| 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<ref>{{cite web|title=BRACAI AI Consulting|url=https://www.bracai.eu/post/llm-arena-leaderboard|publisher=BRACAI AI Consulting|access-date=2025-12-09}}</ref>

==== ⚠️ 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<ref>{{cite web|title=venturebeat.comGoogle unveils Gemini 3 claiming the lead in math, science, multimodal, agentic AI benchmarks21 days ago|url=https://venturebeat.com/ai/google-unveils-gemini-3-claiming-the-lead-in-math-science-multimodal-and|publisher=venturebeat.comGoogle unveils Gemini 3 claiming the lead in math, science, multimodal, agentic AI benchmarks21 days ago|access-date=2025-12-09}}</ref>the-decoder.comPopular AI benchmark LMArena allegedly favors large providers, study claimsMay 9, 2025<ref>{{cite web|title=the-decoder.comPopular AI benchmark LMArena allegedly favors large providers, study claimsMay 9, 2025|url=https://the-decoder.com/popular-ai-benchmark-lmarena-allegedly-systematically-favors-large-providers-study-claims/|publisher=the-decoder.comPopular AI benchmark LMArena allegedly favors large providers, study claimsMay 9, 2025|access-date=2025-12-09}}</ref>spectrum.ieee.orgGoogle Succeeds With LLMs While Meta and OpenAI StumbleMay 9, 2025<ref>{{cite web|title=spectrum.ieee.orgGoogle Succeeds With LLMs While Meta and OpenAI StumbleMay 9, 2025|url=https://spectrum.ieee.org/large-language-models-2025|publisher=spectrum.ieee.orgGoogle Succeeds With LLMs While Meta and OpenAI StumbleMay 9, 2025|access-date=2025-12-09}}</ref>

== References ==
<references />

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