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GPT-5.1 benchmarks, ranks and price

Where Artificial Analysis, LiveBench, LMArena and Berkeley BFCL place GPT-5.1, what it costs through OpenRouter and Vercel AI Gateway, and the models either side of it on the consensus.

Updated Oct 5, 2026Full leaderboardSources and method

Read Oct 5, 2026

#31of 126

on the LLM leaderboard, with a consensus score of 64 across 2 leaderboards.

Source: Artificial Analysis, LiveBench, LMArena and Berkeley BFCL, combined by Rank.ai.

By leaderboard

Where each leaderboard places GPT-5.1

Artificial Analysis

#38of 115

Score 24.7. Best run: openai/gpt-5.1.

Intelligence Index: a composite of reasoning, knowledge, maths and coding evaluations.

LiveBench

Not measured by LiveBench.

Contamination-limited questions refreshed each release: reasoning, maths, coding, data analysis, language.

LMArena

#30of 115

Score 1455. Best run: gpt-5.1-high.

Blind head-to-head human votes, style controlled.

Berkeley BFCL

Not measured by Berkeley BFCL.

Function calling and tool use, single turn to multi turn and web search.

Price and context

$3.44

OpenRouter: $1.25 in, $10 out. Vercel AI Gateway: $1.25 in, $10 out Context window 400K tokens.

Nearby

The models either side of GPT-5.1

  1. #28Qwen3.7 Max66
  2. #29Qwen3.7 Plus66
  3. #30Claude Sonnet 4.665
  4. #31GPT-5.164
  5. #32Kimi K2.563
  6. #33DeepSeek V4 Pro 042363
  7. #34GLM 4.661

Questions about GPT-5.1

How good is GPT-5.1?
GPT-5.1 ranks #31 of 126 models on the Rank.ai LLM leaderboard, with a consensus score of 64 out of 100 across 2 leaderboards.
Is GPT-5.1 better than Claude Sonnet 4.6?
Not on the consensus: Claude Sonnet 4.6 scores 65 to GPT-5.1's 64. Compare them source by source below, since the leaderboards test different things.
Is GPT-5.1 better than Kimi K2.5?
On the consensus, yes: 64 to 63.
How much does GPT-5.1 cost?
$1.25 per million input tokens and $10 per million output tokens on OpenRouter, the cheaper listing we read. Blended at three input tokens to one output, that is $3.44 per million.
Is GPT-5.1 good for coding?
It scores 49.4 on the Artificial Analysis Coding Index, placing it #33 for coding among the models on this leaderboard.

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