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Gemini 3.7 Flash vs Qwen3.7 Plus

Gemini 3.7 Flash leads Qwen3.7 Plus on coding, 58.0 to 33.2 on the Vibe Coding Index, and Qwen3.7 Plus costs 2.9x less per output token ($1.28 vs $3.75 per million). Updated October 21, 2026; 68 benchmarks have a result for both.

Replace Gemini 3.7 Flash Replace Qwen3.7 Plus
Gemini 3.7 FlashGoogle
Coding
58.0
Overall
65.7
Output $/M
$3.75
68
Qwen3.7 PlusQwen
Coding
33.2
Overall
54.0
Output $/M
$1.28
0
vs boards won of 68 shared

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

Pick Gemini 3.7 Flash for coding: it scores 58.0 on the Vibe Coding Index against 33.2 for Qwen3.7 Plus.

Pick Qwen3.7 Plus for output tokens 2.9x cheaper ($1.28 vs $3.75 per million).

Model AGemini 3.7 FlashGoogle58.0/1006 independent benchmarks$1.78 per solved taskModel BQwen3.7 PlusQwen33.2/1002 independent benchmarksNo cost per solved task
Shared results
68
Gemini 3.7 Flash only
46
Qwen3.7 Plus only
7
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 Plus 33.2 from 2 benchmarks.
Widest category
Coding, 19.1 points apart on average over 9 shared benchmarks.
Widest single gap
FrontierCode: Gemini 3.7 Flash 43.6% against Qwen3.7 Plus 10.2%, 51.4 points apart on a 0 to 100 scale.
Output price
Gemini 3.7 Flash $3.75 against Qwen3.7 Plus $1.28 per million output tokens, 2.9x apart.
Context window
Gemini 3.7 Flash takes 1.05M tokens, Qwen3.7 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 FlashBarsQwen3.7 PlusTies
Coding90
Intelligence20
Agentic work40
Reasoning90
Math40
Knowledge50
Web design80
General270
All shared boards680
CodingLike-for-likeSix of these boards feed the Vibe Coding Index90
Coding benchmarks for Gemini 3.7 Flash and Qwen3.7 Plus
BenchmarkGemini 3.7 FlashQwen3.7 PlusLeader
LiveBench coding80.5%Not measuredOnly Gemini 3.7 Flash measured
LMArena WebDev1591Not measuredOnly Gemini 3.7 Flash measured
AA Coding Index71.555.9Gemini 3.7 Flash
LiveCodeBench (Vals AI)88.7%Not measuredOnly Gemini 3.7 Flash measured
SWE-bench Verified (Vals AI)80.8%Not measuredOnly Gemini 3.7 Flash measured
Terminal-Bench 4 (Vals AI)12.1%Not measuredOnly Gemini 3.7 Flash measured
Vibe Code Bench (Vals AI)70.4%46.4%Gemini 3.7 Flash
Code migration (Vals AI)34.8%12.9%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%52.8%Gemini 3.7 Flash
SkillsBench (Vals AI)65.9%54.3%Gemini 3.7 Flash
CyberBench (Vals AI)43.8%Not measuredOnly Gemini 3.7 Flash measured
SciCode59.8%46.1%Gemini 3.7 Flash
Terminal-Bench Hard (Artificial Analysis run)Not measured47.0%Only Qwen3.7 Plus measured
FrontierCode43.6%10.2%Gemini 3.7 Flash
FrontierSWE20.3%Not measuredOnly Gemini 3.7 Flash measured
ALE-Bench904.3Not measuredOnly Gemini 3.7 Flash measured
LMArena Text: coding14991473Gemini 3.7 Flash
LMArena Text: software and IT14981473Gemini 3.7 Flash
LMArena WebDev: React1587Not measuredOnly Gemini 3.7 Flash measured
LMArena WebDev: HTML1593Not measuredOnly Gemini 3.7 Flash measured
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 Plus
BenchmarkGemini 3.7 FlashQwen3.7 PlusLeader
AA Intelligence Index39.625.2Gemini 3.7 Flash
Epoch Capabilities Index158.0147.0Gemini 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 Qwen3.7 Plus
BenchmarkGemini 3.7 FlashQwen3.7 PlusLeader
AA Agentic IndexNot measured17.5Only Qwen3.7 Plus measured
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 apps1230Not measuredOnly Gemini 3.7 Flash measured
Design Arena: agents building Android apps1242Not 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: 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%38.2%Gemini 3.7 Flash
Tax Agent Bench (Vals AI)22.8%10.5%Gemini 3.7 Flash
Legal Research Bench (Vals AI)34.6%16.4%Gemini 3.7 Flash
Excel Modeling Benchmark (Vals AI)71.3%49.3%Gemini 3.7 Flash
Terminal-Bench-Science (Vals AI)7.1%Not measuredOnly Gemini 3.7 Flash measured
τ²-Bench TelecomNot measured93.0%Only Qwen3.7 Plus measured
APEX-Agents67.8%Not measuredOnly Gemini 3.7 Flash measured
Remote Labor Index5.0%Not measuredOnly Gemini 3.7 Flash measured
OSWorld 2.0Not measured2.8%Only Qwen3.7 Plus measured
Neither model has a result on the other 20 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index90
Reasoning benchmarks for Gemini 3.7 Flash and Qwen3.7 Plus
BenchmarkGemini 3.7 FlashQwen3.7 PlusLeader
GPQA Diamond93.9%Not measuredOnly Gemini 3.7 Flash measured
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%90.0%Gemini 3.7 Flash
Humanity's Last Exam (Artificial Analysis run)47.9%35.6%Gemini 3.7 Flash
GPQA Diamond (Epoch AI run)94.8%87.9%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
Chess puzzles66.0%Not measuredOnly Gemini 3.7 Flash measured
Mystery game puzzles37.0%17.0%Gemini 3.7 Flash
LMArena Text: hard prompts14951460Gemini 3.7 Flash
LMArena Text: expert15121466Gemini 3.7 Flash
LMArena Text: hard prompts in English14871460Gemini 3.7 Flash
LMArena Vision: diagrams13291292Gemini 3.7 Flash
LMArena Vision: homework13201295Gemini 3.7 Flash
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 Qwen3.7 Plus
BenchmarkGemini 3.7 FlashQwen3.7 PlusLeader
OTIS Mock AIME97.2%93.3%Gemini 3.7 Flash
FrontierMath, tiers 1 to 371.6%34.4%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: math15111467Gemini 3.7 Flash
LMArena Text: mathematical work15021470Gemini 3.7 Flash
Neither model has a result on the other 7 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index50
Knowledge benchmarks for Gemini 3.7 Flash and Qwen3.7 Plus
BenchmarkGemini 3.7 FlashQwen3.7 PlusLeader
MMLU Pro90.1%Not measuredOnly Gemini 3.7 Flash measured
LegalBench (Vals AI)87.3%Not measuredOnly Gemini 3.7 Flash measured
TaxEval (Vals AI)74.7%Not measuredOnly Gemini 3.7 Flash measured
MortgageTax (Vals AI)66.7%66.2%Gemini 3.7 Flash
MedCode (Vals AI)53.4%Not measuredOnly Gemini 3.7 Flash measured
SimpleQA Verified69.2%Not measuredOnly Gemini 3.7 Flash measured
LMArena Text: science15111464Gemini 3.7 Flash
LMArena Text: medicine and healthcare14941464Gemini 3.7 Flash
LMArena Text: legal and government14961451Gemini 3.7 Flash
LMArena Text: business and finance14791435Gemini 3.7 Flash
FACTS Benchmark Suite71.2%Not measuredOnly Gemini 3.7 Flash measured
Neither model has a result on the other 7 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 Plus
BenchmarkGemini 3.7 FlashQwen3.7 PlusLeader
Design Arena: websites13041269Gemini 3.7 Flash
Design Arena: UI components12991261Gemini 3.7 Flash
Design Arena: game dev13181262Gemini 3.7 Flash
Design Arena: data viz13151276Gemini 3.7 Flash
Design Arena: 3D13081239Gemini 3.7 Flash
Design Arena: all code categories13081269Gemini 3.7 Flash
Design Arena: SVG12831208Gemini 3.7 Flash
Design Arena: ASCII art12761143Gemini 3.7 Flash
LiveBench design73.2%Not measuredOnly Gemini 3.7 Flash measured
GeneralLike-for-likePublic boards, shown as published, kept out of the index270
General benchmarks for Gemini 3.7 Flash and Qwen3.7 Plus
BenchmarkGemini 3.7 FlashQwen3.7 PlusLeader
LiveBench data analysis68.0%Not measuredOnly Gemini 3.7 Flash measured
SAGE (Vals AI)49.2%39.3%Gemini 3.7 Flash
MedScribe (Vals AI)83.9%Not measuredOnly Gemini 3.7 Flash measured
Vals Multimodal IndexNot measured53.9%Only Qwen3.7 Plus measured
IFBenchNot measured78.0%Only Qwen3.7 Plus measured
Long context reasoning (AA-LCR)83.0%73.0%Gemini 3.7 Flash
DTBench96.8%84.0%Gemini 3.7 Flash
LMCA50.4%37.6%Gemini 3.7 Flash
Furniture assembly26.7%Not measuredOnly Gemini 3.7 Flash measured
LMArena Text14891454Gemini 3.7 Flash
LMArena Text: instruction following14841439Gemini 3.7 Flash
LMArena Text: creative writing14881438Gemini 3.7 Flash
LMArena Vision13141278Gemini 3.7 Flash
LMArena Text: English14831458Gemini 3.7 Flash
LMArena Text: non-English14871445Gemini 3.7 Flash
LMArena Text: Chinese15521509Gemini 3.7 Flash
LMArena Text: German15061471Gemini 3.7 Flash
LMArena Text: Japanese15111412Gemini 3.7 Flash
LMArena Text: Korean14811413Gemini 3.7 Flash
LMArena Text: French15001472Gemini 3.7 Flash
LMArena Text: Spanish14951457Gemini 3.7 Flash
LMArena Text: Russian15151457Gemini 3.7 Flash
LMArena Text: Polish15031449Gemini 3.7 Flash
LMArena Text: multi-turn14851459Gemini 3.7 Flash
LMArena Text: longer queries14921454Gemini 3.7 Flash
LMArena Text: writing and language14911437Gemini 3.7 Flash
LMArena Text: entertainment and media14771422Gemini 3.7 Flash
LMArena Vision: English13091280Gemini 3.7 Flash
LMArena Vision: Chinese13941332Gemini 3.7 Flash
LMArena Vision: reading text13221288Gemini 3.7 Flash
LMArena Vision: humor12991261Gemini 3.7 Flash
LMArena Vision: creative writing13121258Gemini 3.7 Flash
LMArena DocumentNot measured1444Only Qwen3.7 Plus 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 Qwen3.7 Plus
BenchmarkGemini 3.7 FlashQwen3.7 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
Qwen3.7 Plus$0.0010Fits in one request

Qwen3.7 Plus costs less

Repository review

50K input + 3K output tokens

Gemini 3.7 Flash$0.049Fits in one request
Qwen3.7 Plus$0.020Fits in one request

Qwen3.7 Plus costs less

Agent loop

200K input + 10K output tokens

Gemini 3.7 Flash$0.188Fits in one request
Qwen3.7 Plus$0.077Fits in one request

Qwen3.7 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 Qwen3.7 Plus
SpecificationGoogle Gemini 3.7 FlashQwen3.7 Plus
MakerGoogleQwen
WeightsNo public weights listedNo public weights listed
ReleasedAugust 13, 2026June 3, 2026
Context window1.05M1M
Input $/Mtok$0.75$0.32
Output $/Mtok$3.75$1.28
Coding index58.033.2
Independent measurements behind it62
Cost per solved task$1.78Not computable
SourceOpenRouter listingOpenRouter listing

Questions

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

Pick Gemini 3.7 Flash for coding: it scores 58.0 on the Vibe Coding Index against 33.2 for Qwen3.7 Plus. Pick Qwen3.7 Plus for output tokens 2.9x cheaper ($1.28 vs $3.75 per million).

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

Gemini 3.7 Flash costs $0.75 per million input tokens and $3.75 per million output tokens; Qwen3.7 Plus costs $0.32 and $1.28. Cost per solved task is known for Gemini 3.7 Flash only.

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

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

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

68 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 Plus's on 2. 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-plus">LLMBenchmark.ai, Gemini 3.7 Flash vs Qwen3.7 Plus</a></p>