Gemini 3.5 Flash vs Qwen3.7-Max-Preview

  • Gemini 3.5 Flash rates higher on LMArena’s text leaderboard: 1482 against 1475.
  • Qwen3.7-Max-Preview is cheaper: $1.48 / $4.42 per million input / output tokens, against $1.50 / $9 for Gemini 3.5 Flash.
  • On the 8 Vals AI benchmarks both have taken, Gemini 3.5 Flash wins 8 and Qwen3.7-Max-Preview wins 0.
LMArena text rating over time
14601470148014901500May 26Jun 26Aug 26Sep 26Oct 26
LatestGemini 3.5 Flash 1482Qwen3.7-Max-Preview 1475

Side by side

Models (2/6)
  • Gemini 3.5 Flash
  • Qwen3.7-Max-Preview
BenchmarkGemini 3.5 FlashQwen3.7-Max-Preview
The model
LabGoogleAlibaba
Released2026-05-192026-05-21
WeightsProprietaryProprietary
Context window1M1M
Input, per 1M tokens$1.50$1.48
Output, per 1M tokens$9$4.42
LMArena, people’s votes
LMArena TextMillions of people compare two anonymous models side by side and vote for the better answer1482#18 of 3511475#24 of 351
LMArena WebDevPeople ask two anonymous models to build the same web app, try both and vote for the better one1499#63 of 1241515#58 of 124
LMArena VisionSide-by-side votes on prompts that include an image1308#13 of 146—
LMArena CodingLMArena’s text votes on prompts that ask for code1493#33 of 3461497#29 of 346
LMArena MathLMArena’s text votes on math prompts1504#12 of 3391488#23 of 339
LMArena Creative writingLMArena’s text votes on stories, poems and other creative writing1470#17 of 3491448#35 of 349
LMArena Hard promptsLMArena’s text votes on the hardest prompts1488#23 of 3511482#35 of 351
LMArena Instruction followingLMArena’s text votes on prompts with specific instructions to follow1467#33 of 3511460#40 of 351
Vals AI, coding
Terminal-Bench 4.0Frontier-difficulty tasks an agent completes in a real terminal6.06%#45 of 55—
SWE-benchReal GitHub issues from open-source projects78.80%#27 of 8568.80%#66 of 85
Vibe Code BenchBuilding complete web apps from a plain-language brief, graded on whether the app works48.68%#60 of 11547.67%#63 of 115
LiveCodeBenchFresh competitive programming problems, collected after models’ training cut-offs to avoid contamination87.60%#12 of 14387.06%#19 of 143
Vals AI, finance
Tax Agent BenchAgentic research into US corporate tax questions21.65%#47 of 7615.83%#54 of 76
Vals AI, law
Legal Research BenchAgentic US legal research30.77%#49 of 8525.48%#59 of 85
Vals AI, medicine
MedCodeAssigning the right medical billing codes from clinical notes55.83%#6 of 10738.75%#70 of 107
Vals AI, reasoning
GPQA DiamondGraduate-level questions in biology, physics and chemistry that experts answer well and search does not92.68%#14 of 13890.15%#25 of 138
MMLU-ProHarder, reasoning-focused multiple choice across 14 subjects, from law to engineering89.52%#10 of 13889.31%#12 of 138
MMMUCollege-level questions that need both an image and text88.27%#8 of 93—
Terminal-Bench ScienceExpert-written scientific research workflows, run by an agent in a terminal5.71%#21 of 42—

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Questions

Which is better, Gemini 3.5 Flash or Qwen3.7-Max-Preview?

Gemini 3.5 Flash rates higher on LMArena’s text leaderboard: 1482 against 1475. Qwen3.7-Max-Preview is cheaper: $1.48 / $4.42 per million input / output tokens, against $1.50 / $9 for Gemini 3.5 Flash. On the 8 Vals AI benchmarks both have taken, Gemini 3.5 Flash wins 8 and Qwen3.7-Max-Preview wins 0.

Which is cheaper, Gemini 3.5 Flash or Qwen3.7-Max-Preview?

Qwen3.7-Max-Preview is cheaper: $1.48 / $4.42 per million input / output tokens, against $1.50 / $9 for Gemini 3.5 Flash.

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”.