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Gemini 3.5 Flash vs Qwen3.8 Flash

Updated October 21, 2026. 0 benchmarks have a result for both. Coding is ranked on the Vibe Coding Index; every other board is shown as published.

Gemini 3.5 FlashGoogle
Coding
42.8
Overall
33.6
Output $/M
$9.00
0
Qwen3.8 FlashQwen
Coding
87.4
Overall
No data
Output $/M
$0.47
0
vs No board has a result for both

Decision reading

Gemini 3.5 Flash scores 42.8 and Qwen3.8 Flash 87.4 on the Vibe Coding Index, but no coding benchmark measured both, so the gap is directional, not a ranking.

Pick Gemini 3.5 Flash when the context window is larger, 1.05M against 1M tokens; pick Qwen3.8 Flash when output tokens cost 19.1x less.

Shared results
0
Gemini 3.5 Flash only
110
Qwen3.8 Flash only
7
Like-for-like categories
0 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 3.5 Flash 42.8 from 1 benchmark, Qwen3.8 Flash 87.4 from 1 benchmark.
Widest category
No category has a result for both models.
Widest single gap
No benchmark has a result for both models.
Output price
Gemini 3.5 Flash $9.00 against Qwen3.8 Flash $0.47 per million output tokens, 19.1x apart.
Context window
Gemini 3.5 Flash takes 1.05M tokens, Qwen3.8 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.

CodingDirectional onlyFour of these boards feed the Vibe Coding Index19 boards, none shared
Coding benchmarks for Gemini 3.5 Flash and Qwen3.8 Flash
BenchmarkGemini 3.5 FlashQwen3.8 FlashLeader
LiveBench codingNot measured87.4%Only Qwen3.8 Flash measured
LMArena WebDev1499Not measuredOnly Gemini 3.5 Flash 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%Not measuredOnly Gemini 3.5 Flash measured
Code migration (Vals AI)26.8%Not measuredOnly Gemini 3.5 Flash measured
ProgramBench (Vals AI)0.0%Not measuredOnly Gemini 3.5 Flash measured
Terminal-Bench 2.1 (Vals AI)74.2%Not measuredOnly Gemini 3.5 Flash measured
SkillsBench (Vals AI)52.7%Not measuredOnly Gemini 3.5 Flash measured
SciCode53.9%Not measuredOnly Gemini 3.5 Flash measured
Terminal-Bench Hard (Artificial Analysis run)46.2%Not measuredOnly Gemini 3.5 Flash measured
WeirdML62.6%Not measuredOnly Gemini 3.5 Flash measured
ALE-Bench911.0Not measuredOnly Gemini 3.5 Flash measured
LMArena Text: coding1493Not measuredOnly Gemini 3.5 Flash measured
LMArena Text: software and IT1494Not measuredOnly Gemini 3.5 Flash measured
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
Neither model has a result on the other 19 boards here
IntelligenceDirectional onlyPublic boards, shown as published, kept out of the index2 boards, none shared
Intelligence benchmarks for Gemini 3.5 Flash and Qwen3.8 Flash
BenchmarkGemini 3.5 FlashQwen3.8 FlashLeader
AA Intelligence Index33.6Not measuredOnly Gemini 3.5 Flash measured
Epoch Capabilities Index154.9Not measuredOnly Gemini 3.5 Flash measured
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index19 boards, none shared
Agentic work benchmarks for Gemini 3.5 Flash and Qwen3.8 Flash
BenchmarkGemini 3.5 FlashQwen3.8 FlashLeader
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 apps1175Not measuredOnly Gemini 3.5 Flash measured
Design Arena: agents building Android apps1190Not 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 slides1142Not measuredOnly Gemini 3.5 Flash measured
Design Arena: PowerPoint slides1178Not measuredOnly Gemini 3.5 Flash measured
LiveBench researchNot measured74.6%Only Qwen3.8 Flash measured
LiveBench browserNot measured48.0%Only Qwen3.8 Flash measured
LiveBench long agenticNot measured37.1%Only Qwen3.8 Flash measured
Finance Agent (Vals AI)57.9%Not measuredOnly Gemini 3.5 Flash measured
Tax Agent Bench (Vals AI)21.6%Not measuredOnly Gemini 3.5 Flash measured
Legal Research Bench (Vals AI)30.8%Not measuredOnly Gemini 3.5 Flash measured
Excel Modeling Benchmark (Vals AI)63.5%Not measuredOnly Gemini 3.5 Flash measured
Terminal-Bench-Science (Vals AI)5.7%Not measuredOnly Gemini 3.5 Flash measured
τ²-Bench Telecom95.6%Not measuredOnly Gemini 3.5 Flash measured
APEX-Agents27.5%Not measuredOnly Gemini 3.5 Flash measured
Vending-Bench 2$5,396Not measuredOnly Gemini 3.5 Flash measured
Neither model has a result on the other 20 boards here
ReasoningDirectional onlyPublic boards, shown as published, kept out of the index17 boards, none shared
Reasoning benchmarks for Gemini 3.5 Flash and Qwen3.8 Flash
BenchmarkGemini 3.5 FlashQwen3.8 FlashLeader
GPQA Diamond92.7%Not measuredOnly Gemini 3.5 Flash measured
LiveBench reasoningNot measured87.4%Only Qwen3.8 Flash measured
MMMU Pro (Vals AI)88.3%Not measuredOnly Gemini 3.5 Flash measured
GPQA Diamond (Artificial Analysis run)92.2%Not measuredOnly Gemini 3.5 Flash measured
Humanity's Last Exam (Artificial Analysis run)42.7%Not measuredOnly Gemini 3.5 Flash measured
GPQA Diamond (Epoch AI run)92.8%Not measuredOnly Gemini 3.5 Flash measured
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%Not measuredOnly Gemini 3.5 Flash measured
EBR-bench4.8%Not measuredOnly Gemini 3.5 Flash measured
LMArena Text: hard prompts1488Not measuredOnly Gemini 3.5 Flash measured
LMArena Text: expert1495Not measuredOnly Gemini 3.5 Flash measured
LMArena Text: hard prompts in English1483Not measuredOnly Gemini 3.5 Flash measured
LMArena Vision: diagrams1323Not measuredOnly Gemini 3.5 Flash measured
LMArena Vision: homework1330Not measuredOnly Gemini 3.5 Flash measured
Neither model has a result on the other 4 boards here
MathDirectional onlyPublic boards, shown as published, kept out of the index6 boards, none shared
Math benchmarks for Gemini 3.5 Flash and Qwen3.8 Flash
BenchmarkGemini 3.5 FlashQwen3.8 FlashLeader
OTIS Mock AIME95.6%Not measuredOnly Gemini 3.5 Flash measured
FrontierMath, tiers 1 to 362.8%Not measuredOnly Gemini 3.5 Flash measured
FrontierMath, tier 426.8%Not measuredOnly Gemini 3.5 Flash measured
ProofBench31.0%Not measuredOnly Gemini 3.5 Flash measured
LMArena Text: math1504Not measuredOnly Gemini 3.5 Flash measured
LMArena Text: mathematical work1495Not measuredOnly Gemini 3.5 Flash measured
Neither model has a result on the other 7 boards here
KnowledgeDirectional onlyPublic boards, shown as published, kept out of the index11 boards, none shared
Knowledge benchmarks for Gemini 3.5 Flash and Qwen3.8 Flash
BenchmarkGemini 3.5 FlashQwen3.8 FlashLeader
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%Not measuredOnly Gemini 3.5 Flash measured
MedCode (Vals AI)55.8%Not measuredOnly Gemini 3.5 Flash measured
SimpleQA Verified66.2%Not measuredOnly Gemini 3.5 Flash measured
LMArena Text: science1495Not measuredOnly Gemini 3.5 Flash measured
LMArena Text: medicine and healthcare1483Not measuredOnly Gemini 3.5 Flash measured
LMArena Text: legal and government1488Not measuredOnly Gemini 3.5 Flash measured
LMArena Text: business and finance1467Not measuredOnly Gemini 3.5 Flash measured
Neither model has a result on the other 6 boards here
Web designDirectional onlyPublic boards, shown as published, kept out of the index9 boards, none shared
Web design benchmarks for Gemini 3.5 Flash and Qwen3.8 Flash
BenchmarkGemini 3.5 FlashQwen3.8 FlashLeader
Design Arena: websites1268Not measuredOnly Gemini 3.5 Flash measured
Design Arena: UI components1272Not measuredOnly Gemini 3.5 Flash measured
Design Arena: game dev1263Not measuredOnly Gemini 3.5 Flash measured
Design Arena: data viz1236Not measuredOnly Gemini 3.5 Flash measured
Design Arena: 3D1244Not measuredOnly Gemini 3.5 Flash measured
Design Arena: all code categories1266Not measuredOnly Gemini 3.5 Flash measured
Design Arena: SVG1254Not measuredOnly Gemini 3.5 Flash measured
Design Arena: ASCII art1253Not measuredOnly Gemini 3.5 Flash measured
LiveBench designNot measured72.8%Only Qwen3.8 Flash measured
GeneralDirectional onlyPublic boards, shown as published, kept out of the index34 boards, none shared
General benchmarks for Gemini 3.5 Flash and Qwen3.8 Flash
BenchmarkGemini 3.5 FlashQwen3.8 FlashLeader
LiveBench data analysisNot measured74.2%Only Qwen3.8 Flash measured
Public Benefits Bench (Vals AI)59.5%Not measuredOnly Gemini 3.5 Flash measured
SAGE (Vals AI)49.9%Not measuredOnly Gemini 3.5 Flash measured
MedScribe (Vals AI)76.6%Not measuredOnly Gemini 3.5 Flash measured
Vals Multimodal Index62.9%Not measuredOnly Gemini 3.5 Flash measured
IFBench76.3%Not measuredOnly Gemini 3.5 Flash measured
Long context reasoning (AA-LCR)74.3%Not measuredOnly Gemini 3.5 Flash measured
DTBench94.7%Not measuredOnly Gemini 3.5 Flash measured
LMCA47.1%Not measuredOnly Gemini 3.5 Flash measured
Surface Evolver Bench58.1%Not measuredOnly Gemini 3.5 Flash measured
LMArena Text1482Not measuredOnly Gemini 3.5 Flash measured
LMArena Text: instruction following1467Not measuredOnly Gemini 3.5 Flash measured
LMArena Text: creative writing1470Not measuredOnly Gemini 3.5 Flash measured
LMArena Vision1308Not measuredOnly Gemini 3.5 Flash measured
LMArena Text: English1481Not measuredOnly Gemini 3.5 Flash measured
LMArena Text: non-English1475Not measuredOnly Gemini 3.5 Flash measured
LMArena Text: Chinese1527Not measuredOnly Gemini 3.5 Flash measured
LMArena Text: German1494Not measuredOnly Gemini 3.5 Flash measured
LMArena Text: Japanese1486Not measuredOnly Gemini 3.5 Flash measured
LMArena Text: Korean1448Not measuredOnly Gemini 3.5 Flash measured
LMArena Text: French1490Not measuredOnly Gemini 3.5 Flash measured
LMArena Text: Spanish1480Not measuredOnly Gemini 3.5 Flash measured
LMArena Text: Russian1493Not measuredOnly Gemini 3.5 Flash measured
LMArena Text: Polish1516Not measuredOnly Gemini 3.5 Flash measured
LMArena Text: multi-turn1481Not measuredOnly Gemini 3.5 Flash measured
LMArena Text: longer queries1483Not measuredOnly Gemini 3.5 Flash measured
LMArena Text: writing and language1478Not measuredOnly Gemini 3.5 Flash measured
LMArena Text: entertainment and media1459Not measuredOnly Gemini 3.5 Flash measured
LMArena Vision: English1305Not measuredOnly Gemini 3.5 Flash measured
LMArena Vision: Chinese1377Not measuredOnly Gemini 3.5 Flash measured
LMArena Vision: reading text1317Not measuredOnly Gemini 3.5 Flash measured
LMArena Vision: humor1321Not measuredOnly Gemini 3.5 Flash measured
LMArena Vision: creative writing1301Not measuredOnly Gemini 3.5 Flash measured
LMArena Document1463Not measuredOnly Gemini 3.5 Flash measured
Neither model has a result on the other 12 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 Qwen3.8 Flash
BenchmarkGemini 3.5 FlashQwen3.8 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 3.5 Flash$0.0060Fits in one request
Qwen3.8 Flash$0.0004Fits in one request

Qwen3.8 Flash costs less

Repository review

50K input + 3K output tokens

Gemini 3.5 Flash$0.102Fits in one request
Qwen3.8 Flash$0.0089Fits in one request

Qwen3.8 Flash costs less

Agent loop

200K input + 10K output tokens

Gemini 3.5 Flash$0.390Fits in one request
Qwen3.8 Flash$0.035Fits in one request

Qwen3.8 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 3.5 Flash and Qwen3.8 Flash
SpecificationGoogle Gemini 3.5 FlashQwen3.8 Flash
MakerGoogleQwen
WeightsNo public weights listedOpen weights
ReleasedMay 19, 2026August 26, 2026
Context window1.05M1M
Input $/Mtok$1.50$0.15
Output $/Mtok$9.00$0.47
Coding index42.887.4
Independent measurements behind it11
Cost per solved task$1.21Not computable
SourceOpenRouter listingOpenRouter listing

Questions

Is Gemini 3.5 Flash better than Qwen3.8 Flash for coding?

Gemini 3.5 Flash scores 42.8 and Qwen3.8 Flash 87.4 on the Vibe Coding Index, but no coding benchmark measured both, so the gap is directional, not a ranking. Pick Gemini 3.5 Flash when the context window is larger, 1.05M against 1M tokens; pick Qwen3.8 Flash when output tokens cost 19.1x less.

Which is cheaper, Gemini 3.5 Flash or Qwen3.8 Flash?

Gemini 3.5 Flash costs $1.50 per million input tokens and $9.00 per million output tokens; Qwen3.8 Flash costs $0.15 and $0.47. Cost per solved task is known for Gemini 3.5 Flash only.

Which has the bigger context window, Gemini 3.5 Flash or Qwen3.8 Flash?

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

How many benchmarks is the Gemini 3.5 Flash vs Qwen3.8 Flash comparison based on?

0 benchmarks have a result for both models as of October 21, 2026. Gemini 3.5 Flash's coding index rests on 1 independent benchmark and Qwen3.8 Flash's on 1. Where only one model has a result, the page says so instead of naming a winner.

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