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Gemini 3.7 Flash vs Qwen3.8 27B

Qwen3.8 27B leads Gemini 3.7 Flash on coding, 74.2 to 58.0 on the Vibe Coding Index, and Qwen3.8 27B costs 1.5x less per output token ($2.55 vs $3.75 per million). Updated October 22, 2026; 83 benchmarks have a result for both.

Replace Gemini 3.7 Flash Replace Qwen3.8 27B
Gemini 3.7 FlashGoogle
Coding
58.0
Overall
65.7
Output $/M
$3.75
72
Qwen3.8 27BQwen
Coding
74.2
Overall
59.6
Output $/M
$2.55
10
vs boards won of 83 shared, 1 tied

Gemini 3.7 Flash or Qwen3.8 27B: which to pick

Pick Qwen3.8 27B for coding: it scores 74.2 on the Vibe Coding Index against 58.0 for Gemini 3.7 Flash, though on 4 benchmarks against 6.

Pick Gemini 3.7 Flash for a larger context window (1.05M against 1M tokens) and work measured by AA Coding Index or LiveCodeBench (Vals AI), where it leads.

Model AGemini 3.7 FlashGoogle58.0/1006 independent benchmarks$1.78 per solved taskModel BQwen3.8 27BQwen74.2/1004 independent benchmarks$1.26 per solved task
Shared results
83
Gemini 3.7 Flash only
31
Qwen3.8 27B only
2
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, Qwen3.8 27B 74.2 from 4 benchmarks.
Widest category
Math, 19.6 points apart on average over 3 shared benchmarks.
Widest single gap
ARC-AGI-2: Gemini 3.7 Flash 84.6% against Qwen3.8 27B 42.4%, 42.2 points apart on a 0 to 100 scale.
Output price
Gemini 3.7 Flash $3.75 against Qwen3.8 27B $2.55 per million output tokens, 1.5x apart.
Context window
Gemini 3.7 Flash takes 1.05M tokens, Qwen3.8 27B 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 FlashBarsQwen3.8 27BTies
Coding1251 tie
Intelligence20
Agentic work72
Reasoning120
Math30
Knowledge90
Web design01
General272
All shared boards72101 tie
CodingLike-for-likeSix of these boards feed the Vibe Coding Index125
Coding benchmarks for Gemini 3.7 Flash and Qwen3.8 27B
BenchmarkGemini 3.7 FlashQwen3.8 27BLeader
LiveBench coding80.5%86.8%Qwen3.8 27B
LMArena WebDev15911593Qwen3.8 27B
AA Coding Index71.568.1Gemini 3.7 Flash
LiveCodeBench (Vals AI)88.7%84.0%Gemini 3.7 Flash
SWE-bench Verified (Vals AI)80.8%86.0%Qwen3.8 27B
Terminal-Bench 4 (Vals AI)12.1%Not measuredOnly Gemini 3.7 Flash measured
Vibe Code Bench (Vals AI)70.4%64.8%Gemini 3.7 Flash
Code migration (Vals AI)34.8%14.2%Gemini 3.7 Flash
ProgramBench (Vals AI)0.0%0.0%Tie
IOI (Vals AI)67.8%39.1%Gemini 3.7 Flash
Terminal-Bench 2.1 (Vals AI)77.5%58.4%Gemini 3.7 Flash
SkillsBench (Vals AI)65.9%38.1%Gemini 3.7 Flash
CyberBench (Vals AI)43.8%67.8%Qwen3.8 27B
SciCode59.8%46.6%Gemini 3.7 Flash
FrontierCode43.6%Not measuredOnly Gemini 3.7 Flash measured
FrontierSWE20.3%Not measuredOnly Gemini 3.7 Flash measured
ALE-Bench904.3Not measuredOnly Gemini 3.7 Flash measured
LMArena Text: coding14991483Gemini 3.7 Flash
LMArena Text: software and IT14981478Gemini 3.7 Flash
LMArena WebDev: React15871602Qwen3.8 27B
LMArena WebDev: HTML15931570Gemini 3.7 Flash
LMArena WebDev: from an image15991577Gemini 3.7 Flash
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 index20
Intelligence benchmarks for Gemini 3.7 Flash and Qwen3.8 27B
BenchmarkGemini 3.7 FlashQwen3.8 27BLeader
AA Intelligence Index39.633.7Gemini 3.7 Flash
Epoch Capabilities Index158.0151.7Gemini 3.7 Flash
Agentic workLike-for-likePublic boards, shown as published, kept out of the index72
Agentic work benchmarks for Gemini 3.7 Flash and Qwen3.8 27B
BenchmarkGemini 3.7 FlashQwen3.8 27BLeader
AA Agentic IndexNot measured45.8Only Qwen3.8 27B 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 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%59.4%Gemini 3.7 Flash
LiveBench browser56.0%32.0%Gemini 3.7 Flash
LiveBench long agentic28.3%27.9%Gemini 3.7 Flash
SREBench (Vals AI)4.6%Not measuredOnly Gemini 3.7 Flash measured
Finance Agent (Vals AI)59.0%48.5%Gemini 3.7 Flash
Tax Agent Bench (Vals AI)22.8%30.9%Qwen3.8 27B
Legal Research Bench (Vals AI)34.6%36.1%Qwen3.8 27B
Excel Modeling Benchmark (Vals AI)71.3%59.7%Gemini 3.7 Flash
Terminal-Bench-Science (Vals AI)7.1%0.0%Gemini 3.7 Flash
APEX-Agents67.8%47.5%Gemini 3.7 Flash
Remote Labor Index5.0%Not measuredOnly Gemini 3.7 Flash measured
Neither model has a result on the other 22 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index120
Reasoning benchmarks for Gemini 3.7 Flash and Qwen3.8 27B
BenchmarkGemini 3.7 FlashQwen3.8 27BLeader
GPQA Diamond93.9%88.9%Gemini 3.7 Flash
LiveBench reasoning87.8%80.0%Gemini 3.7 Flash
MMMU Pro (Vals AI)89.0%83.9%Gemini 3.7 Flash
GPQA Diamond (Artificial Analysis run)94.5%90.5%Gemini 3.7 Flash
Humanity's Last Exam (Artificial Analysis run)47.9%33.9%Gemini 3.7 Flash
GPQA Diamond (Epoch AI run)94.8%Not measuredOnly Gemini 3.7 Flash measured
ARC-AGI95.5%87.5%Gemini 3.7 Flash
ARC-AGI-284.6%42.4%Gemini 3.7 Flash
Chess puzzles66.0%Not measuredOnly Gemini 3.7 Flash measured
Mystery game puzzles37.0%Not measuredOnly Gemini 3.7 Flash measured
LMArena Text: hard prompts14951459Gemini 3.7 Flash
LMArena Text: expert15121479Gemini 3.7 Flash
LMArena Text: hard prompts in English14871461Gemini 3.7 Flash
LMArena Vision: diagrams13291285Gemini 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 index30
Math benchmarks for Gemini 3.7 Flash and Qwen3.8 27B
BenchmarkGemini 3.7 FlashQwen3.8 27BLeader
OTIS Mock AIME97.2%Not measuredOnly Gemini 3.7 Flash measured
FrontierMath, tiers 1 to 371.6%Not measuredOnly Gemini 3.7 Flash measured
FrontierMath, tier 436.6%Not measuredOnly Gemini 3.7 Flash measured
ProofBench58.0%16.0%Gemini 3.7 Flash
LMArena Text: math15111455Gemini 3.7 Flash
LMArena Text: mathematical work15021458Gemini 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 index90
Knowledge benchmarks for Gemini 3.7 Flash and Qwen3.8 27B
BenchmarkGemini 3.7 FlashQwen3.8 27BLeader
MMLU Pro90.1%84.3%Gemini 3.7 Flash
LegalBench (Vals AI)87.3%82.4%Gemini 3.7 Flash
TaxEval (Vals AI)74.7%70.8%Gemini 3.7 Flash
MortgageTax (Vals AI)66.7%64.9%Gemini 3.7 Flash
MedCode (Vals AI)53.4%28.7%Gemini 3.7 Flash
SimpleQA Verified69.2%Not measuredOnly Gemini 3.7 Flash measured
LMArena Text: science15111467Gemini 3.7 Flash
LMArena Text: medicine and healthcare14941437Gemini 3.7 Flash
LMArena Text: legal and government14961447Gemini 3.7 Flash
LMArena Text: business and finance14791438Gemini 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 index01
Web design benchmarks for Gemini 3.7 Flash and Qwen3.8 27B
BenchmarkGemini 3.7 FlashQwen3.8 27BLeader
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%75.9%Qwen3.8 27B
GeneralLike-for-likePublic boards, shown as published, kept out of the index272
General benchmarks for Gemini 3.7 Flash and Qwen3.8 27B
BenchmarkGemini 3.7 FlashQwen3.8 27BLeader
LiveBench data analysis68.0%76.6%Qwen3.8 27B
SAGE (Vals AI)49.2%52.4%Qwen3.8 27B
MedScribe (Vals AI)83.9%83.8%Gemini 3.7 Flash
Long context reasoning (AA-LCR)83.0%82.0%Gemini 3.7 Flash
DTBench96.8%88.0%Gemini 3.7 Flash
LMCA50.4%41.4%Gemini 3.7 Flash
Surface Evolver BenchNot measured45.0%Only Qwen3.8 27B measured
Furniture assembly26.7%Not measuredOnly Gemini 3.7 Flash measured
LMArena Text14891440Gemini 3.7 Flash
LMArena Text: instruction following14841436Gemini 3.7 Flash
LMArena Text: creative writing14881383Gemini 3.7 Flash
LMArena Vision13141269Gemini 3.7 Flash
LMArena Text: English14831448Gemini 3.7 Flash
LMArena Text: non-English14871428Gemini 3.7 Flash
LMArena Text: Chinese15521501Gemini 3.7 Flash
LMArena Text: German15061443Gemini 3.7 Flash
LMArena Text: Japanese15111387Gemini 3.7 Flash
LMArena Text: Korean14811384Gemini 3.7 Flash
LMArena Text: French15001465Gemini 3.7 Flash
LMArena Text: Spanish14951449Gemini 3.7 Flash
LMArena Text: Russian15151415Gemini 3.7 Flash
LMArena Text: Polish15031439Gemini 3.7 Flash
LMArena Text: multi-turn14851440Gemini 3.7 Flash
LMArena Text: longer queries14921448Gemini 3.7 Flash
LMArena Text: writing and language14911405Gemini 3.7 Flash
LMArena Text: entertainment and media14771393Gemini 3.7 Flash
LMArena Vision: English13091267Gemini 3.7 Flash
LMArena Vision: Chinese13941326Gemini 3.7 Flash
LMArena Vision: reading text13221281Gemini 3.7 Flash
LMArena Vision: humor12991235Gemini 3.7 Flash
LMArena Vision: creative writing13121237Gemini 3.7 Flash
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 Qwen3.8 27B
BenchmarkGemini 3.7 FlashQwen3.8 27BLeader
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
Qwen3.8 27B$0.0017Fits in one request

Qwen3.8 27B costs less

Repository review

50K input + 3K output tokens

Gemini 3.7 Flash$0.049Fits in one request
Qwen3.8 27B$0.029Fits in one request

Qwen3.8 27B costs less

Agent loop

200K input + 10K output tokens

Gemini 3.7 Flash$0.188Fits in one request
Qwen3.8 27B$0.111Fits in one request

Qwen3.8 27B 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 Qwen3.8 27B
SpecificationGoogle Gemini 3.7 FlashQwen3.8 27B
MakerGoogleQwen
WeightsNo public weights listedOpen weights
ReleasedAugust 13, 2026August 14, 2026
Context window1.05M1M
Input $/Mtok$0.75$0.425
Output $/Mtok$3.75$2.55
Coding index58.074.2
Independent measurements behind it64
Cost per solved task$1.78$1.26
SourceOpenRouter listingOpenRouter listing

Questions

Is Gemini 3.7 Flash better than Qwen3.8 27B for coding?

Pick Qwen3.8 27B for coding: it scores 74.2 on the Vibe Coding Index against 58.0 for Gemini 3.7 Flash, though on 4 benchmarks against 6. Pick Gemini 3.7 Flash for a larger context window (1.05M against 1M tokens) and work measured by AA Coding Index or LiveCodeBench (Vals AI), where it leads.

Which is cheaper, Gemini 3.7 Flash or Qwen3.8 27B?

Gemini 3.7 Flash costs $0.75 per million input tokens and $3.75 per million output tokens; Qwen3.8 27B costs $0.425 and $2.55. Per solved SWE-bench Verified task, Gemini 3.7 Flash costs $1.78 and Qwen3.8 27B $1.26.

Which has the bigger context window, Gemini 3.7 Flash or Qwen3.8 27B?

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

How many benchmarks is the Gemini 3.7 Flash vs Qwen3.8 27B comparison based on?

83 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 Qwen3.8 27B's on 4. 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-qwen3-8-27b" title="Gemini 3.7 Flash vs Qwen3.8 27B, 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-qwen3-8-27b">LLMBenchmark.ai, Gemini 3.7 Flash vs Qwen3.8 27B</a></p>