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Gemini 3.5 Flash vs Qwen3.7 Plus

Gemini 3.5 Flash leads Qwen3.7 Plus on coding, 39.8 to 33.2 on the Vibe Coding Index, and Qwen3.7 Plus costs 7.0x less per output token ($1.28 vs $9.00 per million). Updated October 22, 2026; 71 benchmarks have a result for both.

Replace Gemini 3.5 Flash Replace Qwen3.7 Plus
Gemini 3.5 FlashGoogle
Coding
39.8
Overall
63.8
Output $/M
$9.00
65
Qwen3.7 PlusQwen
Coding
33.2
Overall
54.0
Output $/M
$1.28
6
vs boards won of 71 shared

Gemini 3.5 Flash or Qwen3.7 Plus: which to pick

Pick Gemini 3.5 Flash for coding: it scores 39.8 on the Vibe Coding Index against 33.2 for Qwen3.7 Plus.

Pick Qwen3.7 Plus for output tokens 7.0x cheaper ($1.28 vs $9.00 per million) and work measured by SkillsBench (Vals AI) or Terminal-Bench Hard (Artificial Analysis run), where it leads.

Model AGemini 3.5 FlashGoogle39.8/1004 independent benchmarks$1.21 per solved taskModel BQwen3.7 PlusQwen33.2/1002 independent benchmarksNo cost per solved task
Shared results
71
Gemini 3.5 Flash only
41
Qwen3.7 Plus only
4
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 3.5 Flash 39.8 from 4 benchmarks, Qwen3.7 Plus 33.2 from 2 benchmarks.
Widest category
Agentic work, 12.4 points apart on average over 5 shared benchmarks.
Widest single gap
FrontierMath, tiers 1 to 3: Gemini 3.5 Flash 62.8% against Qwen3.7 Plus 34.4%, 28.4 points apart on a 0 to 100 scale.
Output price
Gemini 3.5 Flash $9.00 against Qwen3.7 Plus $1.28 per million output tokens, 7.0x apart.
Context window
Gemini 3.5 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 3.5 FlashBarsQwen3.7 PlusTies
Coding62
Intelligence20
Agentic work50
Reasoning90
Math40
Knowledge50
Web design53
General291
All shared boards656
CodingLike-for-likeSix of these boards feed the Vibe Coding Index62
Coding benchmarks for Gemini 3.5 Flash and Qwen3.7 Plus
BenchmarkGemini 3.5 FlashQwen3.7 PlusLeader
LMArena WebDev1499Not measuredOnly Gemini 3.5 Flash measured
AA Coding IndexNot measured55.9Only Qwen3.7 Plus measured
LiveCodeBench (Vals AI)87.6%Not measuredOnly Gemini 3.5 Flash measured
SWE-bench Verified (Vals AI)78.8%Not measuredOnly Gemini 3.5 Flash measured
Terminal-Bench 4 (Vals AI)6.1%Not measuredOnly Gemini 3.5 Flash measured
Vibe Code Bench (Vals AI)48.7%46.4%Gemini 3.5 Flash
Code migration (Vals AI)26.8%12.9%Gemini 3.5 Flash
ProgramBench (Vals AI)0.0%Not measuredOnly Gemini 3.5 Flash measured
Terminal-Bench 2.1 (Vals AI)74.2%52.8%Gemini 3.5 Flash
SkillsBench (Vals AI)52.7%54.3%Qwen3.7 Plus
SciCode53.9%46.1%Gemini 3.5 Flash
Terminal-Bench Hard (Artificial Analysis run)46.2%47.0%Qwen3.7 Plus
FrontierCodeNot measured10.2%Only Qwen3.7 Plus measured
WeirdML62.6%Not measuredOnly Gemini 3.5 Flash measured
ALE-Bench911.0Not measuredOnly Gemini 3.5 Flash measured
LMArena Text: coding14931473Gemini 3.5 Flash
LMArena Text: software and IT14941473Gemini 3.5 Flash
LMArena WebDev: React1495Not measuredOnly Gemini 3.5 Flash measured
LMArena WebDev: HTML1522Not measuredOnly Gemini 3.5 Flash measured
LMArena WebDev: from an image1504Not measuredOnly Gemini 3.5 Flash measured
SciCode12.3%Not measuredOnly Gemini 3.5 Flash measured
Neither model has a result on the other 18 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index20
Intelligence benchmarks for Gemini 3.5 Flash and Qwen3.7 Plus
BenchmarkGemini 3.5 FlashQwen3.7 PlusLeader
AA Intelligence Index33.625.2Gemini 3.5 Flash
Epoch Capabilities Index154.9147.0Gemini 3.5 Flash
Agentic workLike-for-likePublic boards, shown as published, kept out of the index50
Agentic work benchmarks for Gemini 3.5 Flash and Qwen3.7 Plus
BenchmarkGemini 3.5 FlashQwen3.7 PlusLeader
AA Agentic IndexNot measured17.5Only Qwen3.7 Plus measured
Design Arena: agents building web apps1202Not measuredOnly Gemini 3.5 Flash measured
Design Arena: agents building full-stack apps1197Not measuredOnly Gemini 3.5 Flash measured
Design Arena: agents building mobile apps1174Not measuredOnly Gemini 3.5 Flash measured
Design Arena: agents building Android apps1185Not measuredOnly Gemini 3.5 Flash measured
Design Arena: agents building Godot games1098Not measuredOnly Gemini 3.5 Flash measured
Design Arena: agents building games1180Not measuredOnly Gemini 3.5 Flash measured
Design Arena: HTML slides1093Not measuredOnly Gemini 3.5 Flash measured
Design Arena: PowerPoint slides1154Not measuredOnly Gemini 3.5 Flash measured
Finance Agent (Vals AI)57.9%38.2%Gemini 3.5 Flash
Tax Agent Bench (Vals AI)21.6%10.5%Gemini 3.5 Flash
Legal Research Bench (Vals AI)30.8%16.4%Gemini 3.5 Flash
Excel Modeling Benchmark (Vals AI)63.5%49.3%Gemini 3.5 Flash
Terminal-Bench-Science (Vals AI)5.7%Not measuredOnly Gemini 3.5 Flash measured
τ²-Bench Telecom95.6%93.0%Gemini 3.5 Flash
APEX-Agents27.5%Not measuredOnly Gemini 3.5 Flash measured
OSWorld 2.0Not measured2.8%Only Qwen3.7 Plus measured
Vending-Bench 2$5,396Not measuredOnly Gemini 3.5 Flash measured
Neither model has a result on the other 23 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index90
Reasoning benchmarks for Gemini 3.5 Flash and Qwen3.7 Plus
BenchmarkGemini 3.5 FlashQwen3.7 PlusLeader
GPQA Diamond92.7%Not measuredOnly Gemini 3.5 Flash measured
MMMU Pro (Vals AI)88.3%Not measuredOnly Gemini 3.5 Flash measured
GPQA Diamond (Artificial Analysis run)92.2%90.0%Gemini 3.5 Flash
Humanity's Last Exam (Artificial Analysis run)42.7%35.6%Gemini 3.5 Flash
GPQA Diamond (Epoch AI run)92.8%87.9%Gemini 3.5 Flash
ARC-AGI92.5%Not measuredOnly Gemini 3.5 Flash measured
ARC-AGI-272.1%Not measuredOnly Gemini 3.5 Flash measured
SimpleBench76.7%Not measuredOnly Gemini 3.5 Flash measured
Chess puzzles45.0%Not measuredOnly Gemini 3.5 Flash measured
Mystery game puzzles32.0%17.0%Gemini 3.5 Flash
EBR-bench4.8%Not measuredOnly Gemini 3.5 Flash measured
LMArena Text: hard prompts14881460Gemini 3.5 Flash
LMArena Text: expert14951466Gemini 3.5 Flash
LMArena Text: hard prompts in English14831460Gemini 3.5 Flash
LMArena Vision: diagrams13231292Gemini 3.5 Flash
LMArena Vision: homework13301295Gemini 3.5 Flash
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 3.5 Flash and Qwen3.7 Plus
BenchmarkGemini 3.5 FlashQwen3.7 PlusLeader
OTIS Mock AIME95.6%93.3%Gemini 3.5 Flash
FrontierMath, tiers 1 to 362.8%34.4%Gemini 3.5 Flash
FrontierMath, tier 426.8%Not measuredOnly Gemini 3.5 Flash measured
ProofBench31.0%Not measuredOnly Gemini 3.5 Flash measured
LMArena Text: math15041467Gemini 3.5 Flash
LMArena Text: mathematical work14951470Gemini 3.5 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 3.5 Flash and Qwen3.7 Plus
BenchmarkGemini 3.5 FlashQwen3.7 PlusLeader
MMLU Pro89.5%Not measuredOnly Gemini 3.5 Flash measured
LegalBench (Vals AI)83.6%Not measuredOnly Gemini 3.5 Flash measured
CorpFin (Vals AI)64.7%Not measuredOnly Gemini 3.5 Flash measured
TaxEval (Vals AI)74.4%Not measuredOnly Gemini 3.5 Flash measured
MortgageTax (Vals AI)68.1%66.2%Gemini 3.5 Flash
MedCode (Vals AI)55.8%Not measuredOnly Gemini 3.5 Flash measured
SimpleQA Verified66.2%Not measuredOnly Gemini 3.5 Flash measured
LMArena Text: science14951464Gemini 3.5 Flash
LMArena Text: medicine and healthcare14831464Gemini 3.5 Flash
LMArena Text: legal and government14881451Gemini 3.5 Flash
LMArena Text: business and finance14671435Gemini 3.5 Flash
FACTS Benchmark Suite63.1%Not measuredOnly Gemini 3.5 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 index53
Web design benchmarks for Gemini 3.5 Flash and Qwen3.7 Plus
BenchmarkGemini 3.5 FlashQwen3.7 PlusLeader
Design Arena: websites12671269Qwen3.7 Plus
Design Arena: UI components12691258Gemini 3.5 Flash
Design Arena: game dev12631261Gemini 3.5 Flash
Design Arena: data viz12361276Qwen3.7 Plus
Design Arena: 3D12431238Gemini 3.5 Flash
Design Arena: all code categories12661269Qwen3.7 Plus
Design Arena: SVG12531208Gemini 3.5 Flash
Design Arena: ASCII art12541143Gemini 3.5 Flash
Neither model has a result on the other 1 board here
GeneralLike-for-likePublic boards, shown as published, kept out of the index291
General benchmarks for Gemini 3.5 Flash and Qwen3.7 Plus
BenchmarkGemini 3.5 FlashQwen3.7 PlusLeader
Public Benefits Bench (Vals AI)59.5%Not measuredOnly Gemini 3.5 Flash measured
SAGE (Vals AI)49.9%39.3%Gemini 3.5 Flash
MedScribe (Vals AI)76.6%Not measuredOnly Gemini 3.5 Flash measured
Vals Multimodal Index62.9%53.9%Gemini 3.5 Flash
IFBench76.3%78.0%Qwen3.7 Plus
Long context reasoning (AA-LCR)74.3%73.0%Gemini 3.5 Flash
DTBench94.7%84.0%Gemini 3.5 Flash
LMCA47.1%37.6%Gemini 3.5 Flash
Surface Evolver Bench58.1%Not measuredOnly Gemini 3.5 Flash measured
LMArena Text14821454Gemini 3.5 Flash
LMArena Text: instruction following14671439Gemini 3.5 Flash
LMArena Text: creative writing14701438Gemini 3.5 Flash
LMArena Vision13081278Gemini 3.5 Flash
LMArena Text: English14811458Gemini 3.5 Flash
LMArena Text: non-English14751445Gemini 3.5 Flash
LMArena Text: Chinese15271509Gemini 3.5 Flash
LMArena Text: German14941471Gemini 3.5 Flash
LMArena Text: Japanese14861412Gemini 3.5 Flash
LMArena Text: Korean14481413Gemini 3.5 Flash
LMArena Text: French14901472Gemini 3.5 Flash
LMArena Text: Spanish14801457Gemini 3.5 Flash
LMArena Text: Russian14931457Gemini 3.5 Flash
LMArena Text: Polish15161449Gemini 3.5 Flash
LMArena Text: multi-turn14811459Gemini 3.5 Flash
LMArena Text: longer queries14831454Gemini 3.5 Flash
LMArena Text: writing and language14781437Gemini 3.5 Flash
LMArena Text: entertainment and media14591422Gemini 3.5 Flash
LMArena Vision: English13051280Gemini 3.5 Flash
LMArena Vision: Chinese13771332Gemini 3.5 Flash
LMArena Vision: reading text13171288Gemini 3.5 Flash
LMArena Vision: humor13211261Gemini 3.5 Flash
LMArena Vision: creative writing13011258Gemini 3.5 Flash
LMArena Document14631444Gemini 3.5 Flash
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 3.5 Flash and Qwen3.7 Plus
BenchmarkGemini 3.5 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 3.5 Flash$0.0060Fits in one request
Qwen3.7 Plus$0.0010Fits in one request

Qwen3.7 Plus costs less

Repository review

50K input + 3K output tokens

Gemini 3.5 Flash$0.102Fits in one request
Qwen3.7 Plus$0.020Fits in one request

Qwen3.7 Plus costs less

Agent loop

200K input + 10K output tokens

Gemini 3.5 Flash$0.390Fits 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 3.5 Flash and Qwen3.7 Plus
SpecificationGoogle Gemini 3.5 FlashQwen3.7 Plus
MakerGoogleQwen
WeightsNo public weights listedNo public weights listed
ReleasedMay 19, 2026June 3, 2026
Context window1.05M1M
Input $/Mtok$1.50$0.32
Output $/Mtok$9.00$1.28
Coding index39.833.2
Independent measurements behind it42
Cost per solved task$1.21Not computable
SourceOpenRouter listingOpenRouter listing

Questions

Is Gemini 3.5 Flash better than Qwen3.7 Plus for coding?

Pick Gemini 3.5 Flash for coding: it scores 39.8 on the Vibe Coding Index against 33.2 for Qwen3.7 Plus. Pick Qwen3.7 Plus for output tokens 7.0x cheaper ($1.28 vs $9.00 per million) and work measured by SkillsBench (Vals AI) or Terminal-Bench Hard (Artificial Analysis run), where it leads.

Which is cheaper, Gemini 3.5 Flash or Qwen3.7 Plus?

Gemini 3.5 Flash costs $1.50 per million input tokens and $9.00 per million output tokens; Qwen3.7 Plus costs $0.32 and $1.28. Cost per solved task is known for Gemini 3.5 Flash only.

Which has the bigger context window, Gemini 3.5 Flash or Qwen3.7 Plus?

Gemini 3.5 Flash, with 1.05M tokens against 1M.

How many benchmarks is the Gemini 3.5 Flash vs Qwen3.7 Plus comparison based on?

71 benchmarks have a result for both models as of October 22, 2026. Gemini 3.5 Flash's coding index rests on 4 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-3-5-flash-vs-qwen3-7-plus">LLMBenchmark.ai, Gemini 3.5 Flash vs Qwen3.7 Plus</a></p>