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Gemini 3.7 Flash vs Qwen3.6 Plus

Updated October 21, 2026. 74 benchmarks have a result for both. Coding is ranked on the Vibe Coding Index; every other board is shown as published.

Replace Gemini 3.7 Flash Replace Qwen3.6 Plus
Gemini 3.7 FlashGoogle
Coding
69.9
Overall
39.6
Output $/M
$3.75
71
Qwen3.6 PlusQwen
Coding
37.4
Overall
27.0
Output $/M
$1.95
1
vs boards won of 74 shared, 2 tied

Decision reading

Pick Gemini 3.7 Flash for coding: it scores 69.9 on the Vibe Coding Index against 37.4 for Qwen3.6 Plus.

Pick Qwen3.6 Plus when output tokens cost 1.9x less, or when a solved task costs $1.19 against $1.78.

Model AGemini 3.7 FlashGoogle69.9/1002 independent benchmarks$1.78 per solved taskModel BQwen3.6 PlusQwen37.4/1001 independent benchmark$1.19 per solved task
Shared results
74
Gemini 3.7 Flash only
38
Qwen3.6 Plus only
9
Like-for-like categories
8 of 9

Shared results can support a head-to-head reading. Results only one model has describe coverage, not superiority.

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 69.9 from 2 benchmarks, Qwen3.6 Plus 37.4 from 1 benchmark.
Widest category
Agentic work, 22.9 points apart on average over 4 shared benchmarks.
Widest single gap
Chess puzzles: Gemini 3.7 Flash 66.0% against Qwen3.6 Plus 14.0%, 52.0 points apart on a 0 to 100 scale.
Output price
Gemini 3.7 Flash $3.75 against Qwen3.6 Plus $1.95 per million output tokens, 1.9x apart.
Context window
Gemini 3.7 Flash takes 1.05M tokens, Qwen3.6 Plus 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 FlashBarsQwen3.6 PlusTies
Coding1301 tie
Intelligence20
Agentic work40
Reasoning100
Math40
Knowledge811 tie
Web design80
General220
All shared boards7112 ties
CodingLike-for-likeFour of these boards feed the Vibe Coding Index130
Coding benchmarks for Gemini 3.7 Flash and Qwen3.6 Plus
BenchmarkGemini 3.7 FlashQwen3.6 PlusLeader
LiveBench coding80.5%Not measuredOnly Gemini 3.7 Flash measured
LMArena WebDev15911461Gemini 3.7 Flash
AA Coding Index71.554.5Gemini 3.7 Flash
LiveCodeBench (Vals AI)88.7%86.0%Gemini 3.7 Flash
SWE-bench Verified (Vals AI)80.8%73.4%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%25.6%Gemini 3.7 Flash
Code migration (Vals AI)34.8%11.1%Gemini 3.7 Flash
ProgramBench (Vals AI)0.0%0.0%Tie
IOI (Vals AI)67.8%Not measuredOnly Gemini 3.7 Flash measured
Terminal-Bench 2.1 (Vals AI)77.5%53.2%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%Not measuredOnly Gemini 3.7 Flash measured
Terminal-Bench Hard (Artificial Analysis run)Not measured43.9%Only Qwen3.6 Plus measured
FrontierCode43.6%Not measuredOnly Gemini 3.7 Flash measured
FrontierSWE20.3%Not measuredOnly Gemini 3.7 Flash measured
ALE-Bench904.3670.1Gemini 3.7 Flash
LMArena Text: coding14991467Gemini 3.7 Flash
LMArena Text: software and IT14981462Gemini 3.7 Flash
LMArena WebDev: React15871454Gemini 3.7 Flash
LMArena WebDev: HTML15931463Gemini 3.7 Flash
LMArena WebDev: from an image15991472Gemini 3.7 Flash
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 Qwen3.6 Plus
BenchmarkGemini 3.7 FlashQwen3.6 PlusLeader
AA Intelligence Index39.627.0Gemini 3.7 Flash
Epoch Capabilities Index158.0147.3Gemini 3.7 Flash
Agentic workLike-for-likePublic boards, shown as published, kept out of the index40
Agentic work benchmarks for Gemini 3.7 Flash and Qwen3.6 Plus
BenchmarkGemini 3.7 FlashQwen3.6 PlusLeader
Design Arena: agents building web apps1224Not measuredOnly Gemini 3.7 Flash measured
Design Arena: agents building full-stack apps1208Not measuredOnly Gemini 3.7 Flash measured
Design Arena: agents building mobile apps1230Not measuredOnly Gemini 3.7 Flash measured
Design Arena: agents building Android apps1247Not 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: spreadsheets1028Not 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%40.9%Gemini 3.7 Flash
Tax Agent Bench (Vals AI)22.8%7.7%Gemini 3.7 Flash
Legal Research Bench (Vals AI)34.6%14.9%Gemini 3.7 Flash
Excel Modeling Benchmark (Vals AI)71.3%32.9%Gemini 3.7 Flash
Terminal-Bench-Science (Vals AI)7.1%Not measuredOnly Gemini 3.7 Flash measured
τ²-Bench TelecomNot measured97.7%Only Qwen3.6 Plus measured
APEX-Agents67.8%Not measuredOnly Gemini 3.7 Flash measured
Remote Labor Index5.0%Not measuredOnly Gemini 3.7 Flash measured
Vending-Bench 2Not measured$5,115Only Qwen3.6 Plus measured
Neither model has a result on the other 19 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index100
Reasoning benchmarks for Gemini 3.7 Flash and Qwen3.6 Plus
BenchmarkGemini 3.7 FlashQwen3.6 PlusLeader
GPQA Diamond93.9%87.4%Gemini 3.7 Flash
LiveBench reasoning87.8%Not measuredOnly Gemini 3.7 Flash measured
MMMU Pro (Vals AI)89.0%84.2%Gemini 3.7 Flash
GPQA Diamond (Artificial Analysis run)94.5%88.2%Gemini 3.7 Flash
Humanity's Last Exam (Artificial Analysis run)47.9%27.8%Gemini 3.7 Flash
GPQA Diamond (Epoch AI run)94.8%88.4%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%12.0%Gemini 3.7 Flash
LMArena Text: hard prompts14951448Gemini 3.7 Flash
LMArena Text: expert15121454Gemini 3.7 Flash
LMArena Text: hard prompts in English14871455Gemini 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 6 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index40
Math benchmarks for Gemini 3.7 Flash and Qwen3.6 Plus
BenchmarkGemini 3.7 FlashQwen3.6 PlusLeader
AIMENot measured94.6%Only Qwen3.6 Plus measured
OTIS Mock AIME97.2%93.3%Gemini 3.7 Flash
FrontierMath, tiers 1 to 371.6%38.2%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: math15111449Gemini 3.7 Flash
LMArena Text: mathematical work15021448Gemini 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 index81
Knowledge benchmarks for Gemini 3.7 Flash and Qwen3.6 Plus
BenchmarkGemini 3.7 FlashQwen3.6 PlusLeader
MMLU Pro90.1%87.7%Gemini 3.7 Flash
LegalBench (Vals AI)87.3%84.2%Gemini 3.7 Flash
CaseLaw (Vals AI)Not measured51.5%Only Qwen3.6 Plus measured
CorpFin (Vals AI)Not measured61.9%Only Qwen3.6 Plus measured
TaxEval (Vals AI)74.7%74.7%Tie
MortgageTax (Vals AI)66.7%68.0%Qwen3.6 Plus
MedCode (Vals AI)53.4%36.9%Gemini 3.7 Flash
SimpleQA Verified69.2%44.1%Gemini 3.7 Flash
LMArena Text: science15111439Gemini 3.7 Flash
LMArena Text: medicine and healthcare14941442Gemini 3.7 Flash
LMArena Text: legal and government14961437Gemini 3.7 Flash
LMArena Text: business and finance14791430Gemini 3.7 Flash
Neither model has a result on the other 5 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index80
Web design benchmarks for Gemini 3.7 Flash and Qwen3.6 Plus
BenchmarkGemini 3.7 FlashQwen3.6 PlusLeader
Design Arena: websites13041243Gemini 3.7 Flash
Design Arena: UI components12991233Gemini 3.7 Flash
Design Arena: game dev13181211Gemini 3.7 Flash
Design Arena: data viz13151228Gemini 3.7 Flash
Design Arena: 3D13081202Gemini 3.7 Flash
Design Arena: all code categories13081236Gemini 3.7 Flash
Design Arena: SVG12831160Gemini 3.7 Flash
Design Arena: ASCII art12761115Gemini 3.7 Flash
LiveBench design73.2%Not measuredOnly Gemini 3.7 Flash measured
GeneralLike-for-likePublic boards, shown as published, kept out of the index220
General benchmarks for Gemini 3.7 Flash and Qwen3.6 Plus
BenchmarkGemini 3.7 FlashQwen3.6 PlusLeader
LiveBench data analysis68.0%Not measuredOnly Gemini 3.7 Flash measured
SAGE (Vals AI)49.2%44.9%Gemini 3.7 Flash
MedScribe (Vals AI)83.9%77.0%Gemini 3.7 Flash
Vals Multimodal IndexNot measured51.5%Only Qwen3.6 Plus measured
IFBenchNot measured75.2%Only Qwen3.6 Plus measured
Long context reasoning (AA-LCR)83.0%78.3%Gemini 3.7 Flash
DTBench96.8%81.9%Gemini 3.7 Flash
LMCA50.4%33.1%Gemini 3.7 Flash
CL-benchNot measured20.3%Only Qwen3.6 Plus measured
Furniture assembly26.7%Not measuredOnly Gemini 3.7 Flash measured
LMArena Text14891436Gemini 3.7 Flash
LMArena Text: instruction following14841424Gemini 3.7 Flash
LMArena Text: creative writing14881404Gemini 3.7 Flash
LMArena Vision1314Not measuredOnly Gemini 3.7 Flash measured
LMArena Text: English14831445Gemini 3.7 Flash
LMArena Text: non-English14871424Gemini 3.7 Flash
LMArena Text: Chinese15521477Gemini 3.7 Flash
LMArena Text: German15061451Gemini 3.7 Flash
LMArena Text: Japanese15111390Gemini 3.7 Flash
LMArena Text: Korean14811379Gemini 3.7 Flash
LMArena Text: French15001455Gemini 3.7 Flash
LMArena Text: Spanish14951432Gemini 3.7 Flash
LMArena Text: Russian15151434Gemini 3.7 Flash
LMArena Text: Polish15031433Gemini 3.7 Flash
LMArena Text: multi-turn14851438Gemini 3.7 Flash
LMArena Text: longer queries14921439Gemini 3.7 Flash
LMArena Text: writing and language14911418Gemini 3.7 Flash
LMArena Text: entertainment and media14771402Gemini 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 13 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 Qwen3.6 Plus
BenchmarkGemini 3.7 FlashQwen3.6 PlusLeader
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
Qwen3.6 Plus$0.0013Fits in one request

Qwen3.6 Plus costs less

Repository review

50K input + 3K output tokens

Gemini 3.7 Flash$0.049Fits in one request
Qwen3.6 Plus$0.022Fits in one request

Qwen3.6 Plus costs less

Agent loop

200K input + 10K output tokens

Gemini 3.7 Flash$0.188Fits in one request
Qwen3.6 Plus$0.085Fits in one request

Qwen3.6 Plus 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 Qwen3.6 Plus
SpecificationGoogle Gemini 3.7 FlashQwen3.6 Plus
MakerGoogleQwen
WeightsNo public weights listedNo public weights listed
ReleasedAugust 13, 2026April 2, 2026
Context window1.05M1M
Input $/Mtok$0.75$0.325
Output $/Mtok$3.75$1.95
Coding index69.937.4
Independent measurements behind it21
Cost per solved task$1.78$1.19
SourceOpenRouter listingOpenRouter listing

Questions

Is Gemini 3.7 Flash better than Qwen3.6 Plus for coding?

Pick Gemini 3.7 Flash for coding: it scores 69.9 on the Vibe Coding Index against 37.4 for Qwen3.6 Plus. Pick Qwen3.6 Plus when output tokens cost 1.9x less, or when a solved task costs $1.19 against $1.78.

Which is cheaper, Gemini 3.7 Flash or Qwen3.6 Plus?

Gemini 3.7 Flash costs $0.75 per million input tokens and $3.75 per million output tokens; Qwen3.6 Plus costs $0.325 and $1.95. Per solved SWE-bench Verified task, Gemini 3.7 Flash costs $1.78 and Qwen3.6 Plus $1.19.

Which has the bigger context window, Gemini 3.7 Flash or Qwen3.6 Plus?

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

How many benchmarks is the Gemini 3.7 Flash vs Qwen3.6 Plus comparison based on?

74 benchmarks have a result for both models as of October 21, 2026. Gemini 3.7 Flash's coding index rests on 2 independent benchmarks and Qwen3.6 Plus's on 1. Where only one model has a result, the page says so instead of naming a winner.

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