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This conversation was exported from ChatGPT[1]

gpt-5-1[edit | edit source]

User: which LLM leads in the leaderboards?[edit | edit source]

which LLM leads in the leaderboards?

Assistant: It depends a bit on which benchmark or “leaderboard” you mean — reasoning?[edit | edit source]

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 | edit source]

  • Gemini 2.5 Pro — frequently ranks #1 on large-scale leaderboards for general reasoning, coding and long-context tasks. BRACAI AI Consulting[2]
  • Grok 4 (from xAI) — often close behind or competitive, especially valued for reasoning abilities. BRACAI AI Consulting[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]
  • Claude 3.7 Sonnet (and related Claude versions) — often praised for safety, instruction-following, reasoning and balanced performance across benchmarks. BRACAI AI Consulting[5]

📊 Example — “Leaderboard” results from a 2025 snapshot[edit | edit source]

One recent public leaderboard (the “LLM arena leaderboard”) lists top scores as: BRACAI AI Consulting[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]

⚠️ Why “leading” is nuanced[edit | edit source]

  • 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]the-decoder.comPopular AI benchmark LMArena allegedly favors large providers, study claimsMay 9, 2025[9]spectrum.ieee.orgGoogle Succeeds With LLMs While Meta and OpenAI StumbleMay 9, 2025[10]

References[edit | edit source]

  1. "LLM leaderboard rankings". ChatGPT. Retrieved 2025-12-09.
  2. "BRACAI AI Consulting". BRACAI AI Consulting. Retrieved 2025-12-09.
  3. "BRACAI AI Consulting". BRACAI AI Consulting. Retrieved 2025-12-09.
  4. "techaimag.com". techaimag.com. Retrieved 2025-12-09.
  5. "BRACAI AI Consulting". BRACAI AI Consulting. Retrieved 2025-12-09.
  6. "BRACAI AI Consulting". BRACAI AI Consulting. Retrieved 2025-12-09.
  7. "BRACAI AI Consulting". BRACAI AI Consulting. Retrieved 2025-12-09.
  8. "venturebeat.comGoogle unveils Gemini 3 claiming the lead in math, science, multimodal, agentic AI benchmarks21 days ago". venturebeat.comGoogle unveils Gemini 3 claiming the lead in math, science, multimodal, agentic AI benchmarks21 days ago. Retrieved 2025-12-09.
  9. "the-decoder.comPopular AI benchmark LMArena allegedly favors large providers, study claimsMay 9, 2025". the-decoder.comPopular AI benchmark LMArena allegedly favors large providers, study claimsMay 9, 2025. Retrieved 2025-12-09.
  10. "spectrum.ieee.orgGoogle Succeeds With LLMs While Meta and OpenAI StumbleMay 9, 2025". spectrum.ieee.orgGoogle Succeeds With LLMs While Meta and OpenAI StumbleMay 9, 2025. Retrieved 2025-12-09.