Claude Opus 4.6 vs Qwen3.7-Max-Preview

  • Claude Opus 4.6 rates higher on LMArena’s text leaderboard: 1502 against 1475.
  • Qwen3.7-Max-Preview is cheaper: $1.48 / $4.42 per million input / output tokens, against $5 / $25 for Claude Opus 4.6.
  • On the 6 Vals AI benchmarks both have taken, Claude Opus 4.6 wins 3 and Qwen3.7-Max-Preview wins 3 (Claude Opus 4.6: SWE-bench, Vibe Code Bench, MedCode).
LMArena text rating over time
14601475149015051520Feb 26Apr 26Jun 26Aug 26Oct 26
LatestClaude Opus 4.6 1502Qwen3.7-Max-Preview 1475

Side by side

Models (2/6)
  • Claude Opus 4.6
  • Qwen3.7-Max-Preview
BenchmarkClaude Opus 4.6Qwen3.7-Max-Preview
The model
LabAnthropicAlibaba
Released2026-02-042026-05-21
WeightsProprietaryProprietary
Context window1M1M
Input, per 1M tokens$5$1.48
Output, per 1M tokens$25$4.42
LMArena, people’s votes
LMArena TextMillions of people compare two anonymous models side by side and vote for the better answer1502#6 of 3511475#24 of 351
LMArena WebDevPeople ask two anonymous models to build the same web app, try both and vote for the better one1546#45 of 1241515#58 of 124
LMArena VisionSide-by-side votes on prompts that include an image1316#6 of 146—
LMArena CodingLMArena’s text votes on prompts that ask for code1534#3 of 3461497#29 of 346
LMArena MathLMArena’s text votes on math prompts1518#7 of 3391488#23 of 339
LMArena Creative writingLMArena’s text votes on stories, poems and other creative writing1505#4 of 3491448#35 of 349
LMArena Hard promptsLMArena’s text votes on the hardest prompts1524#5 of 3511482#35 of 351
LMArena Instruction followingLMArena’s text votes on prompts with specific instructions to follow1521#3 of 3511460#40 of 351
Vals AI, coding
SWE-benchReal GitHub issues from open-source projects78.20%#30 of 8568.80%#66 of 85
Vibe Code BenchBuilding complete web apps from a plain-language brief, graded on whether the app works53.50%#57 of 11547.67%#63 of 115
LiveCodeBenchFresh competitive programming problems, collected after models’ training cut-offs to avoid contamination84.68%#38 of 14387.06%#19 of 143
Vals AI, finance
Tax Agent BenchAgentic research into US corporate tax questions—15.83%#54 of 76
Vals AI, law
Legal Research BenchAgentic US legal research—25.48%#59 of 85
Vals AI, medicine
MedCodeAssigning the right medical billing codes from clinical notes48.24%#30 of 10738.75%#70 of 107
MedQAMedical licensing exam questions, measured on accuracy and on robustness to bias95.41%#12 of 92—
Vals AI, reasoning
GPQA DiamondGraduate-level questions in biology, physics and chemistry that experts answer well and search does not89.65%#29 of 13890.15%#25 of 138
MMLU-ProHarder, reasoning-focused multiple choice across 14 subjects, from law to engineering89.11%#15 of 13889.31%#12 of 138
AIMEProblems from the American Invitational Mathematics Examination, a qualifier for the US Math Olympiad95.63%#9 of 96—
MMMUCollege-level questions that need both an image and text83.87%#29 of 93—

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Questions

Which is better, Claude Opus 4.6 or Qwen3.7-Max-Preview?

Claude Opus 4.6 rates higher on LMArena’s text leaderboard: 1502 against 1475. Qwen3.7-Max-Preview is cheaper: $1.48 / $4.42 per million input / output tokens, against $5 / $25 for Claude Opus 4.6. On the 6 Vals AI benchmarks both have taken, Claude Opus 4.6 wins 3 and Qwen3.7-Max-Preview wins 3 (Claude Opus 4.6: SWE-bench, Vibe Code Bench, MedCode).

Which is cheaper, Claude Opus 4.6 or Qwen3.7-Max-Preview?

Qwen3.7-Max-Preview is cheaper: $1.48 / $4.42 per million input / output tokens, against $5 / $25 for Claude Opus 4.6.

Sources

Every number on this page comes from these sources; models without a published number show none. Download the data. Cite as “Nexus Explorer, nexus.inc/models”.