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Qwen3 235B A22B Thinking 2507 benchmarks, ranks and price

Where Artificial Analysis, LiveBench, LMArena and Berkeley BFCL place Qwen3 235B A22B Thinking 2507, what it costs through OpenRouter and Vercel AI Gateway, and the models either side of it on the consensus.

Updated Oct 1, 2026Full leaderboardSources and method

Read Oct 1, 2026

#63of 85

on the LLM leaderboard, with a consensus score of 35 across 2 leaderboards.

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

By leaderboard

Where each leaderboard places Qwen3 235B A22B Thinking 2507

Artificial Analysis

#41of 51

Score 12.7. Best run: qwen/qwen3-235b-a22b-thinking-2507.

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

#52of 79

Score 1399. Best run: qwen3-235b-a22b-thinking-2507.

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

$0.75

OpenRouter: $0.23 in, $2.30 out. Vercel AI Gateway: $0.40 in, $4.00 out Context window 131K tokens.

Nearby

The models either side of Qwen3 235B A22B Thinking 2507

  1. #60DeepSeek V3.1 Terminus40
  2. #61R138
  3. #62GPT-5.4 Nano38
  4. #63Qwen3 235B A22B Thinking 250735
  5. #64gpt-4.1-nano-2025-04-1434
  6. #65Qwen3.6 27B33
  7. #66llama-3.3-70b-instruct32

Questions about Qwen3 235B A22B Thinking 2507

How good is Qwen3 235B A22B Thinking 2507?
Qwen3 235B A22B Thinking 2507 ranks #63 of 85 models on the Rank.ai LLM leaderboard, with a consensus score of 35 out of 100 across 2 leaderboards.
Is Qwen3 235B A22B Thinking 2507 better than GPT-5.4 Nano?
Not on the consensus: GPT-5.4 Nano scores 38 to Qwen3 235B A22B Thinking 2507's 35. Compare them source by source below, since the leaderboards test different things.
Is Qwen3 235B A22B Thinking 2507 better than gpt-4.1-nano-2025-04-14?
On the consensus, yes: 35 to 34.
How much does Qwen3 235B A22B Thinking 2507 cost?
$0.23 per million input tokens and $2.30 per million output tokens on OpenRouter, the cheaper listing we read. Blended at three input tokens to one output, that is $0.75 per million.
Is Qwen3 235B A22B Thinking 2507 good for coding?
It scores 22.1 on the Artificial Analysis Coding Index, placing it #43 for coding among the models on this leaderboard.

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