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Gemini 3.7 Flash vs Qwen3.5-Flash

Gemini 3.7 Flash leads Qwen3.5-Flash on coding, 58.0 to 41.1 on the Vibe Coding Index, and Qwen3.5-Flash costs 14.4x less per output token ($0.26 vs $3.75 per million). Updated October 22, 2026; 52 benchmarks have a result for both.

Replace Gemini 3.7 Flash Replace Qwen3.5-Flash
Gemini 3.7 FlashGoogle
Coding
58.0
Overall
65.7
Output $/M
$3.75
51
Qwen3.5-FlashQwen
Coding
41.1
Overall
50.1
Output $/M
$0.26
1
vs boards won of 52 shared

Gemini 3.7 Flash or Qwen3.5-Flash: which to pick

Pick Gemini 3.7 Flash for coding: it scores 58.0 on the Vibe Coding Index against 41.1 for Qwen3.5-Flash.

Pick Qwen3.5-Flash for output tokens 14.4x cheaper ($0.26 vs $3.75 per million) and a lower cost per solved task ($0.40 against $1.78).

Model AGemini 3.7 FlashGoogle58.0/1006 independent benchmarks$1.78 per solved taskModel BQwen3.5-FlashQwen41.1/1002 independent benchmarks$0.40 per solved task
Shared results
52
Gemini 3.7 Flash only
62
Qwen3.5-Flash only
3
Like-for-like categories
6 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, Qwen3.5-Flash 41.1 from 2 benchmarks.
Widest category
Coding, 28.9 points apart on average over 8 shared benchmarks.
Widest single gap
LMArena WebDev: React: Gemini 3.7 Flash 1587 against Qwen3.5-Flash 1229, 59.6 points apart on a 0 to 100 scale.
Output price
Gemini 3.7 Flash $3.75 against Qwen3.5-Flash $0.26 per million output tokens, 14.4x apart.
Context window
Gemini 3.7 Flash takes 1.05M tokens, Qwen3.5-Flash 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 FlashBarsQwen3.5-FlashTies
Coding80
Intelligence10
Reasoning80
Math40
Knowledge91
General210
All shared boards511
CodingLike-for-likeSix of these boards feed the Vibe Coding Index80
Coding benchmarks for Gemini 3.7 Flash and Qwen3.5-Flash
BenchmarkGemini 3.7 FlashQwen3.5-FlashLeader
LiveBench coding80.5%Not measuredOnly Gemini 3.7 Flash measured
LMArena WebDev15911244Gemini 3.7 Flash
AA Coding Index71.5Not measuredOnly Gemini 3.7 Flash measured
LiveCodeBench (Vals AI)88.7%83.3%Gemini 3.7 Flash
SWE-bench Verified (Vals AI)80.8%64.4%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%Not measuredOnly Gemini 3.7 Flash measured
Code migration (Vals AI)34.8%Not measuredOnly Gemini 3.7 Flash measured
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%Not measuredOnly Gemini 3.7 Flash measured
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%Not measuredOnly Gemini 3.7 Flash measured
FrontierCode43.6%Not measuredOnly Gemini 3.7 Flash measured
FrontierSWE20.3%Not measuredOnly Gemini 3.7 Flash measured
ALE-Bench904.3265.9Gemini 3.7 Flash
LMArena Text: coding14991412Gemini 3.7 Flash
LMArena Text: software and IT14981416Gemini 3.7 Flash
LMArena WebDev: React15871229Gemini 3.7 Flash
LMArena WebDev: HTML15931291Gemini 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 16 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index10
Intelligence benchmarks for Gemini 3.7 Flash and Qwen3.5-Flash
BenchmarkGemini 3.7 FlashQwen3.5-FlashLeader
AA Intelligence Index39.6Not measuredOnly Gemini 3.7 Flash measured
Epoch Capabilities Index158.0143.5Gemini 3.7 Flash
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index18 boards, none shared
Agentic work benchmarks for Gemini 3.7 Flash and Qwen3.5-Flash
BenchmarkGemini 3.7 FlashQwen3.5-FlashLeader
Design Arena: agents building web apps1223Not measuredOnly Gemini 3.7 Flash measured
Design Arena: agents building full-stack apps1208Not measuredOnly Gemini 3.7 Flash measured
Design Arena: agents building mobile apps1229Not measuredOnly Gemini 3.7 Flash measured
Design Arena: agents building Android apps1243Not measuredOnly Gemini 3.7 Flash measured
Design Arena: agents building Godot games1264Not measuredOnly Gemini 3.7 Flash measured
Design Arena: agents building games1235Not measuredOnly Gemini 3.7 Flash measured
Design Arena: spreadsheets1058Not 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%Not measuredOnly Gemini 3.7 Flash measured
Tax Agent Bench (Vals AI)22.8%Not measuredOnly Gemini 3.7 Flash measured
Legal Research Bench (Vals AI)34.6%Not measuredOnly Gemini 3.7 Flash measured
Excel Modeling Benchmark (Vals AI)71.3%Not measuredOnly Gemini 3.7 Flash measured
Terminal-Bench-Science (Vals AI)7.1%Not measuredOnly Gemini 3.7 Flash 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 23 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index80
Reasoning benchmarks for Gemini 3.7 Flash and Qwen3.5-Flash
BenchmarkGemini 3.7 FlashQwen3.5-FlashLeader
GPQA Diamond93.9%82.8%Gemini 3.7 Flash
LiveBench reasoning87.8%Not measuredOnly Gemini 3.7 Flash measured
MMMU Pro (Vals AI)89.0%81.9%Gemini 3.7 Flash
GPQA Diamond (Artificial Analysis run)94.5%Not measuredOnly Gemini 3.7 Flash measured
Humanity's Last Exam (Artificial Analysis run)47.9%Not measuredOnly Gemini 3.7 Flash measured
GPQA Diamond (Epoch AI run)94.8%82.3%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
Chess puzzles66.0%14.0%Gemini 3.7 Flash
Mystery game puzzles37.0%20.0%Gemini 3.7 Flash
LMArena Text: hard prompts14951403Gemini 3.7 Flash
LMArena Text: expert15121407Gemini 3.7 Flash
LMArena Text: hard prompts in English14871409Gemini 3.7 Flash
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 7 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index40
Math benchmarks for Gemini 3.7 Flash and Qwen3.5-Flash
BenchmarkGemini 3.7 FlashQwen3.5-FlashLeader
AIMENot measured92.5%Only Qwen3.5-Flash measured
OTIS Mock AIME97.2%84.4%Gemini 3.7 Flash
FrontierMath, tiers 1 to 371.6%18.2%Gemini 3.7 Flash
FrontierMath, tier 436.6%Not measuredOnly Gemini 3.7 Flash measured
ProofBench58.0%Not measuredOnly Gemini 3.7 Flash measured
LMArena Text: math15111407Gemini 3.7 Flash
LMArena Text: mathematical work15021413Gemini 3.7 Flash
Neither model has a result on the other 6 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index91
Knowledge benchmarks for Gemini 3.7 Flash and Qwen3.5-Flash
BenchmarkGemini 3.7 FlashQwen3.5-FlashLeader
MMLU Pro90.1%84.1%Gemini 3.7 Flash
LegalBench (Vals AI)87.3%84.3%Gemini 3.7 Flash
CaseLaw (Vals AI)Not measured56.0%Only Qwen3.5-Flash measured
CorpFin (Vals AI)Not measured63.6%Only Qwen3.5-Flash measured
TaxEval (Vals AI)74.7%72.2%Gemini 3.7 Flash
MortgageTax (Vals AI)66.7%67.4%Qwen3.5-Flash
MedCode (Vals AI)53.4%33.0%Gemini 3.7 Flash
SimpleQA Verified69.2%20.3%Gemini 3.7 Flash
LMArena Text: science15111415Gemini 3.7 Flash
LMArena Text: medicine and healthcare14941407Gemini 3.7 Flash
LMArena Text: legal and government14961398Gemini 3.7 Flash
LMArena Text: business and finance14791394Gemini 3.7 Flash
FACTS Benchmark Suite71.2%Not measuredOnly Gemini 3.7 Flash measured
Neither model has a result on the other 5 boards here
Web designDirectional onlyPublic boards, shown as published, kept out of the index9 boards, none shared
Web design benchmarks for Gemini 3.7 Flash and Qwen3.5-Flash
BenchmarkGemini 3.7 FlashQwen3.5-FlashLeader
Design Arena: websites1303Not measuredOnly Gemini 3.7 Flash measured
Design Arena: UI components1296Not measuredOnly Gemini 3.7 Flash measured
Design Arena: game dev1317Not measuredOnly Gemini 3.7 Flash measured
Design Arena: data viz1315Not measuredOnly Gemini 3.7 Flash measured
Design Arena: 3D1307Not measuredOnly Gemini 3.7 Flash measured
Design Arena: all code categories1308Not measuredOnly Gemini 3.7 Flash measured
Design Arena: SVG1283Not measuredOnly Gemini 3.7 Flash measured
Design Arena: ASCII art1276Not measuredOnly Gemini 3.7 Flash measured
LiveBench design73.2%Not measuredOnly Gemini 3.7 Flash measured
GeneralLike-for-likePublic boards, shown as published, kept out of the index210
General benchmarks for Gemini 3.7 Flash and Qwen3.5-Flash
BenchmarkGemini 3.7 FlashQwen3.5-FlashLeader
LiveBench data analysis68.0%Not measuredOnly Gemini 3.7 Flash measured
SAGE (Vals AI)49.2%42.5%Gemini 3.7 Flash
MedScribe (Vals AI)83.9%70.6%Gemini 3.7 Flash
Long context reasoning (AA-LCR)83.0%Not measuredOnly Gemini 3.7 Flash measured
DTBench96.8%82.9%Gemini 3.7 Flash
LMCA50.4%29.1%Gemini 3.7 Flash
Furniture assembly26.7%Not measuredOnly Gemini 3.7 Flash measured
LMArena Text14891397Gemini 3.7 Flash
LMArena Text: instruction following14841374Gemini 3.7 Flash
LMArena Text: creative writing14881343Gemini 3.7 Flash
LMArena Vision1314Not measuredOnly Gemini 3.7 Flash measured
LMArena Text: English14831404Gemini 3.7 Flash
LMArena Text: non-English14871385Gemini 3.7 Flash
LMArena Text: Chinese15521445Gemini 3.7 Flash
LMArena Text: German15061390Gemini 3.7 Flash
LMArena Text: Japanese15111369Gemini 3.7 Flash
LMArena Text: Korean14811344Gemini 3.7 Flash
LMArena Text: French15001413Gemini 3.7 Flash
LMArena Text: Spanish14951400Gemini 3.7 Flash
LMArena Text: Russian15151380Gemini 3.7 Flash
LMArena Text: Polish15031376Gemini 3.7 Flash
LMArena Text: multi-turn14851393Gemini 3.7 Flash
LMArena Text: longer queries14921392Gemini 3.7 Flash
LMArena Text: writing and language14911369Gemini 3.7 Flash
LMArena Text: entertainment and media14771347Gemini 3.7 Flash
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 16 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 Qwen3.5-Flash
BenchmarkGemini 3.7 FlashQwen3.5-FlashLeader
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
Qwen3.5-Flash$0.0002Fits in one request

Qwen3.5-Flash costs less

Repository review

50K input + 3K output tokens

Gemini 3.7 Flash$0.049Fits in one request
Qwen3.5-Flash$0.0040Fits in one request

Qwen3.5-Flash costs less

Agent loop

200K input + 10K output tokens

Gemini 3.7 Flash$0.188Fits in one request
Qwen3.5-Flash$0.016Fits in one request

Qwen3.5-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 Qwen3.5-Flash
SpecificationGoogle Gemini 3.7 FlashQwen3.5-Flash
MakerGoogleQwen
WeightsNo public weights listedNo public weights listed
ReleasedAugust 13, 2026February 25, 2026
Context window1.05M1M
Input $/Mtok$0.75$0.065
Output $/Mtok$3.75$0.26
Coding index58.041.1
Independent measurements behind it62
Cost per solved task$1.78$0.40
SourceOpenRouter listingOpenRouter listing

Questions

Is Gemini 3.7 Flash better than Qwen3.5-Flash for coding?

Pick Gemini 3.7 Flash for coding: it scores 58.0 on the Vibe Coding Index against 41.1 for Qwen3.5-Flash. Pick Qwen3.5-Flash for output tokens 14.4x cheaper ($0.26 vs $3.75 per million) and a lower cost per solved task ($0.40 against $1.78).

Which is cheaper, Gemini 3.7 Flash or Qwen3.5-Flash?

Gemini 3.7 Flash costs $0.75 per million input tokens and $3.75 per million output tokens; Qwen3.5-Flash costs $0.065 and $0.26. Per solved SWE-bench Verified task, Gemini 3.7 Flash costs $1.78 and Qwen3.5-Flash $0.40.

Which has the bigger context window, Gemini 3.7 Flash or Qwen3.5-Flash?

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

How many benchmarks is the Gemini 3.7 Flash vs Qwen3.5-Flash comparison based on?

52 benchmarks have a result for both models as of October 22, 2026. Gemini 3.7 Flash's coding index rests on 6 independent benchmarks and Qwen3.5-Flash's on 2. Where only one model has a result, the page says so instead of naming a winner.

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<iframe src="https://llmbenchmark.ai/embed/compare/gemini-3-7-flash-vs-qwen3-5-flash-02-23" title="Gemini 3.7 Flash vs Qwen3.5-Flash, LLMBenchmark.ai" width="100%" height="360" style="border:0;max-width:100%" loading="lazy"></iframe>
<p style="font:13px/1.4 sans-serif;margin:6px 0 0">Source: <a href="https://llmbenchmark.ai/compare/gemini-3-7-flash-vs-qwen3-5-flash-02-23">LLMBenchmark.ai, Gemini 3.7 Flash vs Qwen3.5-Flash</a></p>