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Gemini 3.7 Flash vs Qwen3.7 Max

Gemini 3.7 Flash leads Qwen3.7 Max on coding, 58.0 to 54.1 on the Vibe Coding Index, at about the same output price ($3.75 vs $4.425 per million). Updated October 21, 2026; 50 benchmarks have a result for both.

Replace Gemini 3.7 Flash Replace Qwen3.7 Max
Gemini 3.7 FlashGoogle
Coding
58.0
Overall
65.7
Output $/M
$3.75
48
Qwen3.7 MaxQwen
Coding
54.1
Overall
61.7
Output $/M
$4.425
2
vs boards won of 50 shared

Gemini 3.7 Flash or Qwen3.7 Max: which to pick

Pick Gemini 3.7 Flash for coding: it scores 58.0 on the Vibe Coding Index against 54.1 for Qwen3.7 Max.

Pick Qwen3.7 Max for work measured by ALE-Bench or TaxEval (Vals AI), where it leads.

Model AGemini 3.7 FlashGoogle58.0/1006 independent benchmarks$1.78 per solved taskModel BQwen3.7 MaxQwen54.1/1003 independent benchmarks$4.69 per solved task
Shared results
50
Gemini 3.7 Flash only
64
Qwen3.7 Max only
9
Like-for-like categories
8 of 9

Only benchmarks that tested both models count toward a pick; a result only one model has is shown but not compared.

Which one for your work

Each card is decided by one number both models carry. Where only one has it, the card says so and makes no call.

At a glance

Coding index
Gemini 3.7 Flash 58.0 from 6 benchmarks, Qwen3.7 Max 54.1 from 3 benchmarks.
Widest category
Coding, 12.4 points apart on average over 11 shared benchmarks.
Widest single gap
Chess puzzles: Gemini 3.7 Flash 66.0% against Qwen3.7 Max 26.0%, 40.0 points apart on a 0 to 100 scale.
Output price
Gemini 3.7 Flash $3.75 against Qwen3.7 Max $4.425 per million output tokens, 1.2x apart.
Context window
Gemini 3.7 Flash takes 1.05M tokens, Qwen3.7 Max 1M.

Benchmark by benchmark

First the score: boards each model leads, per category, where both have a result. Then every board, a category to a fold; bars are each result on a 0 to 100 scale, so compare the two in a row, not one row with another.

Boards won, where both have a result
CategoryGemini 3.7 FlashBarsQwen3.7 MaxTies
Coding101
Intelligence20
Agentic work100
Reasoning60
Math40
Knowledge41
Web design80
General40
All shared boards482
CodingLike-for-likeSix of these boards feed the Vibe Coding Index101
Coding benchmarks for Gemini 3.7 Flash and Qwen3.7 Max
BenchmarkGemini 3.7 FlashQwen3.7 MaxLeader
LiveBench coding80.5%Not measuredOnly Gemini 3.7 Flash measured
LMArena WebDev15911515Gemini 3.7 Flash
AA Coding Index71.566.0Gemini 3.7 Flash
LiveCodeBench (Vals AI)88.7%87.1%Gemini 3.7 Flash
SWE-bench Verified (Vals AI)80.8%68.8%Gemini 3.7 Flash
Terminal-Bench 4 (Vals AI)12.1%Not measuredOnly Gemini 3.7 Flash measured
Vibe Code Bench (Vals AI)70.4%47.7%Gemini 3.7 Flash
Code migration (Vals AI)34.8%13.1%Gemini 3.7 Flash
ProgramBench (Vals AI)0.0%Not measuredOnly Gemini 3.7 Flash measured
IOI (Vals AI)67.8%Not measuredOnly Gemini 3.7 Flash measured
Terminal-Bench 2.1 (Vals AI)77.5%61.0%Gemini 3.7 Flash
SkillsBench (Vals AI)65.9%Not measuredOnly Gemini 3.7 Flash measured
CyberBench (Vals AI)43.8%Not measuredOnly Gemini 3.7 Flash measured
SciCode59.8%49.5%Gemini 3.7 Flash
Terminal-Bench Hard (Artificial Analysis run)Not measured50.8%Only Qwen3.7 Max measured
FrontierCode43.6%Not measuredOnly Gemini 3.7 Flash measured
FrontierSWE20.3%Not measuredOnly Gemini 3.7 Flash measured
ALE-Bench904.31189.4Qwen3.7 Max
LMArena Text: coding1499Not measuredOnly Gemini 3.7 Flash measured
LMArena Text: software and IT1498Not measuredOnly Gemini 3.7 Flash measured
LMArena WebDev: React15871514Gemini 3.7 Flash
LMArena WebDev: HTML15931512Gemini 3.7 Flash
LMArena WebDev: from an image1599Not measuredOnly Gemini 3.7 Flash measured
SciCode13.8%Not measuredOnly Gemini 3.7 Flash measured
Neither model has a result on the other 15 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index20
Intelligence benchmarks for Gemini 3.7 Flash and Qwen3.7 Max
BenchmarkGemini 3.7 FlashQwen3.7 MaxLeader
AA Intelligence Index39.629.5Gemini 3.7 Flash
Epoch Capabilities Index158.0154.0Gemini 3.7 Flash
Agentic workLike-for-likePublic boards, shown as published, kept out of the index100
Agentic work benchmarks for Gemini 3.7 Flash and Qwen3.7 Max
BenchmarkGemini 3.7 FlashQwen3.7 MaxLeader
AA Agentic IndexNot measured22.5Only Qwen3.7 Max measured
Design Arena: agents building web apps12231208Gemini 3.7 Flash
Design Arena: agents building full-stack apps12081191Gemini 3.7 Flash
Design Arena: agents building mobile apps12301155Gemini 3.7 Flash
Design Arena: agents building Android apps12421159Gemini 3.7 Flash
Design Arena: agents building Godot games12641187Gemini 3.7 Flash
Design Arena: agents building games12351161Gemini 3.7 Flash
Design Arena: HTML slidesNot measured1158Only Qwen3.7 Max measured
Design Arena: PowerPoint slidesNot measured1197Only Qwen3.7 Max measured
Design Arena: spreadsheets1053Not measuredOnly Gemini 3.7 Flash measured
LiveBench research76.5%Not measuredOnly Gemini 3.7 Flash measured
LiveBench browser56.0%Not measuredOnly Gemini 3.7 Flash measured
LiveBench long agentic28.3%Not measuredOnly Gemini 3.7 Flash measured
SREBench (Vals AI)4.6%Not measuredOnly Gemini 3.7 Flash measured
Finance Agent (Vals AI)59.0%47.8%Gemini 3.7 Flash
Tax Agent Bench (Vals AI)22.8%15.8%Gemini 3.7 Flash
Legal Research Bench (Vals AI)34.6%25.5%Gemini 3.7 Flash
Excel Modeling Benchmark (Vals AI)71.3%57.0%Gemini 3.7 Flash
Terminal-Bench-Science (Vals AI)7.1%Not measuredOnly Gemini 3.7 Flash measured
τ²-Bench TelecomNot measured94.7%Only Qwen3.7 Max measured
APEX-Agents67.8%Not measuredOnly Gemini 3.7 Flash measured
Remote Labor Index5.0%Not measuredOnly Gemini 3.7 Flash measured
Neither model has a result on the other 19 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index60
Reasoning benchmarks for Gemini 3.7 Flash and Qwen3.7 Max
BenchmarkGemini 3.7 FlashQwen3.7 MaxLeader
GPQA Diamond93.9%90.2%Gemini 3.7 Flash
LiveBench reasoning87.8%Not measuredOnly Gemini 3.7 Flash measured
MMMU Pro (Vals AI)89.0%Not measuredOnly Gemini 3.7 Flash measured
GPQA Diamond (Artificial Analysis run)94.5%92.3%Gemini 3.7 Flash
Humanity's Last Exam (Artificial Analysis run)47.9%40.5%Gemini 3.7 Flash
GPQA Diamond (Epoch AI run)94.8%90.9%Gemini 3.7 Flash
ARC-AGI95.5%Not measuredOnly Gemini 3.7 Flash measured
ARC-AGI-284.6%Not measuredOnly Gemini 3.7 Flash measured
SimpleBenchNot measured70.4%Only Qwen3.7 Max measured
Chess puzzles66.0%26.0%Gemini 3.7 Flash
Mystery game puzzles37.0%32.0%Gemini 3.7 Flash
EBR-benchNot measured9.5%Only Qwen3.7 Max measured
LMArena Text: hard prompts1495Not measuredOnly Gemini 3.7 Flash measured
LMArena Text: expert1512Not measuredOnly Gemini 3.7 Flash measured
LMArena Text: hard prompts in English1487Not measuredOnly Gemini 3.7 Flash measured
LMArena Vision: diagrams1329Not measuredOnly Gemini 3.7 Flash measured
LMArena Vision: homework1320Not measuredOnly Gemini 3.7 Flash measured
Neither model has a result on the other 5 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index40
Math benchmarks for Gemini 3.7 Flash and Qwen3.7 Max
BenchmarkGemini 3.7 FlashQwen3.7 MaxLeader
OTIS Mock AIME97.2%95.6%Gemini 3.7 Flash
FrontierMath, tiers 1 to 371.6%64.6%Gemini 3.7 Flash
FrontierMath, tier 436.6%34.1%Gemini 3.7 Flash
ProofBench58.0%26.0%Gemini 3.7 Flash
LMArena Text: math1511Not measuredOnly Gemini 3.7 Flash measured
LMArena Text: mathematical work1502Not measuredOnly Gemini 3.7 Flash measured
Neither model has a result on the other 7 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index41
Knowledge benchmarks for Gemini 3.7 Flash and Qwen3.7 Max
BenchmarkGemini 3.7 FlashQwen3.7 MaxLeader
MMLU Pro90.1%89.3%Gemini 3.7 Flash
LegalBench (Vals AI)87.3%84.9%Gemini 3.7 Flash
CorpFin (Vals AI)Not measured63.7%Only Qwen3.7 Max measured
TaxEval (Vals AI)74.7%75.3%Qwen3.7 Max
MortgageTax (Vals AI)66.7%Not measuredOnly Gemini 3.7 Flash measured
MedCode (Vals AI)53.4%38.8%Gemini 3.7 Flash
SimpleQA Verified69.2%55.8%Gemini 3.7 Flash
LMArena Text: science1511Not measuredOnly Gemini 3.7 Flash measured
LMArena Text: medicine and healthcare1494Not measuredOnly Gemini 3.7 Flash measured
LMArena Text: legal and government1496Not measuredOnly Gemini 3.7 Flash measured
LMArena Text: business and finance1479Not measuredOnly Gemini 3.7 Flash measured
FACTS Benchmark Suite71.2%Not measuredOnly Gemini 3.7 Flash measured
Neither model has a result on the other 6 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index80
Web design benchmarks for Gemini 3.7 Flash and Qwen3.7 Max
BenchmarkGemini 3.7 FlashQwen3.7 MaxLeader
Design Arena: websites13041274Gemini 3.7 Flash
Design Arena: UI components12991270Gemini 3.7 Flash
Design Arena: game dev13181265Gemini 3.7 Flash
Design Arena: data viz13151275Gemini 3.7 Flash
Design Arena: 3D13081266Gemini 3.7 Flash
Design Arena: all code categories13081275Gemini 3.7 Flash
Design Arena: SVG12831217Gemini 3.7 Flash
Design Arena: ASCII art12761211Gemini 3.7 Flash
LiveBench design73.2%Not measuredOnly Gemini 3.7 Flash measured
GeneralLike-for-likePublic boards, shown as published, kept out of the index40
General benchmarks for Gemini 3.7 Flash and Qwen3.7 Max
BenchmarkGemini 3.7 FlashQwen3.7 MaxLeader
LiveBench data analysis68.0%Not measuredOnly Gemini 3.7 Flash measured
SAGE (Vals AI)49.2%Not measuredOnly Gemini 3.7 Flash measured
MedScribe (Vals AI)83.9%79.4%Gemini 3.7 Flash
IFBenchNot measured80.5%Only Qwen3.7 Max measured
Long context reasoning (AA-LCR)83.0%79.0%Gemini 3.7 Flash
DTBench96.8%92.3%Gemini 3.7 Flash
LMCA50.4%44.0%Gemini 3.7 Flash
Furniture assembly26.7%Not measuredOnly Gemini 3.7 Flash measured
LMArena Text1489Not measuredOnly Gemini 3.7 Flash measured
LMArena Text: instruction following1484Not measuredOnly Gemini 3.7 Flash measured
LMArena Text: creative writing1488Not measuredOnly Gemini 3.7 Flash measured
LMArena Vision1314Not measuredOnly Gemini 3.7 Flash measured
LMArena Text: English1483Not measuredOnly Gemini 3.7 Flash measured
LMArena Text: non-English1487Not measuredOnly Gemini 3.7 Flash measured
LMArena Text: Chinese1552Not measuredOnly Gemini 3.7 Flash measured
LMArena Text: German1506Not measuredOnly Gemini 3.7 Flash measured
LMArena Text: Japanese1511Not measuredOnly Gemini 3.7 Flash measured
LMArena Text: Korean1481Not measuredOnly Gemini 3.7 Flash measured
LMArena Text: French1500Not measuredOnly Gemini 3.7 Flash measured
LMArena Text: Spanish1495Not measuredOnly Gemini 3.7 Flash measured
LMArena Text: Russian1515Not measuredOnly Gemini 3.7 Flash measured
LMArena Text: Polish1503Not measuredOnly Gemini 3.7 Flash measured
LMArena Text: multi-turn1485Not measuredOnly Gemini 3.7 Flash measured
LMArena Text: longer queries1492Not measuredOnly Gemini 3.7 Flash measured
LMArena Text: writing and language1491Not measuredOnly Gemini 3.7 Flash measured
LMArena Text: entertainment and media1477Not measuredOnly Gemini 3.7 Flash measured
LMArena Vision: English1309Not measuredOnly Gemini 3.7 Flash measured
LMArena Vision: Chinese1394Not measuredOnly Gemini 3.7 Flash measured
LMArena Vision: reading text1322Not measuredOnly Gemini 3.7 Flash measured
LMArena Vision: humor1299Not measuredOnly Gemini 3.7 Flash measured
LMArena Vision: creative writing1312Not measuredOnly Gemini 3.7 Flash measured
Neither model has a result on the other 15 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for Gemini 3.7 Flash and Qwen3.7 Max
BenchmarkGemini 3.7 FlashQwen3.7 MaxLeader
Neither model has a result on 5 boards here

What each workload costs

Three fixed token mixes at each model's listed price, so per-token rates become a bill.

Chat turn

1K input + 500 output tokens

Gemini 3.7 Flash$0.0026Fits in one request
Qwen3.7 Max$0.0037Fits in one request

Gemini 3.7 Flash costs less

Repository review

50K input + 3K output tokens

Gemini 3.7 Flash$0.049Fits in one request
Qwen3.7 Max$0.087Fits in one request

Gemini 3.7 Flash costs less

Agent loop

200K input + 10K output tokens

Gemini 3.7 Flash$0.188Fits in one request
Qwen3.7 Max$0.339Fits in one request

Gemini 3.7 Flash costs less

Listed OpenRouter rates, without cache or batch discounts. A workload that does not fit a model's context window would need splitting.

Specification differences

The leading value in a row is marked; a row with a missing value names no leader. Our two rows are marked in red.

Specifications of Gemini 3.7 Flash and Qwen3.7 Max
SpecificationGoogle Gemini 3.7 FlashQwen3.7 Max
MakerGoogleQwen
WeightsNo public weights listedNo public weights listed
ReleasedAugust 13, 2026May 21, 2026
Context window1.05M1M
Input $/Mtok$0.75$1.475
Output $/Mtok$3.75$4.425
Coding index58.054.1
Independent measurements behind it63
Cost per solved task$1.78$4.69
SourceOpenRouter listingOpenRouter listing

Questions

Is Gemini 3.7 Flash better than Qwen3.7 Max for coding?

Pick Gemini 3.7 Flash for coding: it scores 58.0 on the Vibe Coding Index against 54.1 for Qwen3.7 Max. Pick Qwen3.7 Max for work measured by ALE-Bench or TaxEval (Vals AI), where it leads.

Which is cheaper, Gemini 3.7 Flash or Qwen3.7 Max?

Gemini 3.7 Flash costs $0.75 per million input tokens and $3.75 per million output tokens; Qwen3.7 Max costs $1.475 and $4.425. Per solved SWE-bench Verified task, Gemini 3.7 Flash costs $1.78 and Qwen3.7 Max $4.69.

Which has the bigger context window, Gemini 3.7 Flash or Qwen3.7 Max?

Gemini 3.7 Flash, with 1.05M tokens against 1M.

How many benchmarks is the Gemini 3.7 Flash vs Qwen3.7 Max comparison based on?

50 benchmarks have a result for both models as of October 21, 2026. Gemini 3.7 Flash's coding index rests on 6 independent benchmarks and Qwen3.7 Max's on 3. Where only one model has a result, the page says so instead of naming a winner.

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<p style="font:13px/1.4 sans-serif;margin:6px 0 0">Source: <a href="https://llmbenchmark.ai/compare/gemini-3-7-flash-vs-qwen3-7-max">LLMBenchmark.ai, Gemini 3.7 Flash vs Qwen3.7 Max</a></p>