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Gemini 3.1 Flash Lite Preview vs Qwen3.8 Max (0902)

Updated October 21, 2026. 71 benchmarks have a result for both. Coding is ranked on the Vibe Coding Index; every other board is shown as published.

Replace Gemini 3.1 Flash Lite Preview Replace Qwen3.8 Max (0902)
Gemini 3.1 Flash Lite PreviewGoogle
Coding
8.1
Overall
15.6
Output $/M
$1.50
3
Qwen3.8 Max (0902)Qwen
Coding
63.5
Overall
45.4
Output $/M
$6.00
67
vs boards won of 71 shared, 1 tied

Decision reading

Pick Qwen3.8 Max (0902) for coding: it scores 63.5 on the Vibe Coding Index against 8.1 for Gemini 3.1 Flash Lite Preview.

Pick Gemini 3.1 Flash Lite Preview when output tokens cost 4.0x less, or when a solved task costs $0.18 against $1.32.

Model AGemini 3.1 Flash Lite PreviewGoogle8.1/1001 independent benchmark$0.18 per solved taskModel BQwen3.8 Max (0902)Qwen63.5/1002 independent benchmarks$1.32 per solved task
Shared results
71
Gemini 3.1 Flash Lite Preview only
6
Qwen3.8 Max (0902) only
42
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 3.1 Flash Lite Preview 8.1 from 1 benchmark, Qwen3.8 Max (0902) 63.5 from 2 benchmarks.
Widest category
Agentic work, 39.9 points apart on average over 5 shared benchmarks.
Widest single gap
Vibe Code Bench (Vals AI): Gemini 3.1 Flash Lite Preview 0.0% against Qwen3.8 Max (0902) 64.7%, 64.7 points apart on a 0 to 100 scale.
Output price
Gemini 3.1 Flash Lite Preview $1.50 against Qwen3.8 Max (0902) $6.00 per million output tokens, 4.0x apart.
Context window
Gemini 3.1 Flash Lite Preview takes 1.05M tokens, Qwen3.8 Max (0902) 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 3.1 Flash Lite PreviewBarsQwen3.8 Max (0902)Ties
Coding0121 tie
Intelligence01
Agentic work05
Reasoning07
Math02
Knowledge37
Web design07
General026
All shared boards3671 tie
CodingLike-for-likeFour of these boards feed the Vibe Coding Index012
Coding benchmarks for Gemini 3.1 Flash Lite Preview and Qwen3.8 Max (0902)
BenchmarkGemini 3.1 Flash Lite PreviewQwen3.8 Max (0902)Leader
LiveBench codingNot measured60.3%Only Qwen3.8 Max (0902) measured
LMArena WebDev12571674Qwen3.8 Max (0902)
AA Coding Index34.776.2Qwen3.8 Max (0902)
LiveCodeBench (Vals AI)80.1%87.8%Qwen3.8 Max (0902)
SWE-bench Verified (Vals AI)62.8%85.6%Qwen3.8 Max (0902)
Terminal-Bench 4 (Vals AI)Not measured34.3%Only Qwen3.8 Max (0902) measured
Vibe Code Bench (Vals AI)0.0%64.7%Qwen3.8 Max (0902)
Code migration (Vals AI)4.6%24.0%Qwen3.8 Max (0902)
ProgramBench (Vals AI)0.0%0.0%Tie
IOI (Vals AI)Not measured68.9%Only Qwen3.8 Max (0902) measured
Terminal-Bench 2.1 (Vals AI)34.1%67.4%Qwen3.8 Max (0902)
SWE-bench Multimodal (Vals AI)Not measured42.5%Only Qwen3.8 Max (0902) measured
Vibe Code Bench 1-100 (Vals AI)Not measured12.8%Only Qwen3.8 Max (0902) measured
SkillsBench (Vals AI)Not measured42.0%Only Qwen3.8 Max (0902) measured
CyberBench (Vals AI)Not measured28.6%Only Qwen3.8 Max (0902) measured
SciCodeNot measured53.2%Only Qwen3.8 Max (0902) measured
FrontierSWENot measured17.8%Only Qwen3.8 Max (0902) measured
ALE-Bench797.7Not measuredOnly Gemini 3.1 Flash Lite Preview measured
LMArena Text: coding14001502Qwen3.8 Max (0902)
LMArena Text: software and IT14131498Qwen3.8 Max (0902)
LMArena WebDev: React12451692Qwen3.8 Max (0902)
LMArena WebDev: HTML12761649Qwen3.8 Max (0902)
LMArena WebDev: from an image13361637Qwen3.8 Max (0902)
Neither model has a result on the other 15 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index01
Intelligence benchmarks for Gemini 3.1 Flash Lite Preview and Qwen3.8 Max (0902)
BenchmarkGemini 3.1 Flash Lite PreviewQwen3.8 Max (0902)Leader
AA Intelligence Index15.645.4Qwen3.8 Max (0902)
Epoch Capabilities IndexNot measured157.4Only Qwen3.8 Max (0902) measured
Agentic workLike-for-likePublic boards, shown as published, kept out of the index05
Agentic work benchmarks for Gemini 3.1 Flash Lite Preview and Qwen3.8 Max (0902)
BenchmarkGemini 3.1 Flash Lite PreviewQwen3.8 Max (0902)Leader
AA Agentic Index1.656.0Qwen3.8 Max (0902)
Design Arena: agents building web appsNot measured1301Only Qwen3.8 Max (0902) measured
Design Arena: agents building full-stack appsNot measured1305Only Qwen3.8 Max (0902) measured
Design Arena: agents building mobile appsNot measured1223Only Qwen3.8 Max (0902) measured
Design Arena: agents building Android appsNot measured1207Only Qwen3.8 Max (0902) measured
Design Arena: agents building Godot gamesNot measured1234Only Qwen3.8 Max (0902) measured
Design Arena: PowerPoint slidesNot measured1257Only Qwen3.8 Max (0902) measured
Design Arena: spreadsheetsNot measured868Only Qwen3.8 Max (0902) measured
LiveBench researchNot measured69.9%Only Qwen3.8 Max (0902) measured
LiveBench browserNot measured32.0%Only Qwen3.8 Max (0902) measured
LiveBench long agenticNot measured42.3%Only Qwen3.8 Max (0902) measured
Finance Agent (Vals AI)30.0%50.6%Qwen3.8 Max (0902)
Tax Agent Bench (Vals AI)3.1%32.1%Qwen3.8 Max (0902)
Legal Research Bench (Vals AI)3.4%47.6%Qwen3.8 Max (0902)
Excel Modeling Benchmark (Vals AI)8.6%60.1%Qwen3.8 Max (0902)
Terminal-Bench-Science (Vals AI)Not measured12.9%Only Qwen3.8 Max (0902) measured
APEX-AgentsNot measured63.3%Only Qwen3.8 Max (0902) measured
LMArena SearchNot measured1261Only Qwen3.8 Max (0902) measured
Neither model has a result on the other 21 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index07
Reasoning benchmarks for Gemini 3.1 Flash Lite Preview and Qwen3.8 Max (0902)
BenchmarkGemini 3.1 Flash Lite PreviewQwen3.8 Max (0902)Leader
GPQA Diamond81.1%93.7%Qwen3.8 Max (0902)
LiveBench reasoningNot measured88.2%Only Qwen3.8 Max (0902) measured
MysteryMechanism (Vals AI)Not measured23.9%Only Qwen3.8 Max (0902) measured
MMMU Pro (Vals AI)82.5%88.0%Qwen3.8 Max (0902)
GPQA Diamond (Artificial Analysis run)Not measured92.8%Only Qwen3.8 Max (0902) measured
Humanity's Last Exam (Artificial Analysis run)Not measured43.1%Only Qwen3.8 Max (0902) measured
GPQA Diamond (Epoch AI run)Not measured92.7%Only Qwen3.8 Max (0902) measured
Chess puzzlesNot measured46.0%Only Qwen3.8 Max (0902) measured
Mystery game puzzlesNot measured38.0%Only Qwen3.8 Max (0902) measured
LMArena Text: hard prompts14071496Qwen3.8 Max (0902)
LMArena Text: expert13981507Qwen3.8 Max (0902)
LMArena Text: hard prompts in English14031503Qwen3.8 Max (0902)
LMArena Vision: diagrams12421323Qwen3.8 Max (0902)
LMArena Vision: homework12711336Qwen3.8 Max (0902)
Neither model has a result on the other 7 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index02
Math benchmarks for Gemini 3.1 Flash Lite Preview and Qwen3.8 Max (0902)
BenchmarkGemini 3.1 Flash Lite PreviewQwen3.8 Max (0902)Leader
AIME83.3%Not measuredOnly Gemini 3.1 Flash Lite Preview measured
OTIS Mock AIMENot measured100.0%Only Qwen3.8 Max (0902) measured
FrontierMath, tiers 1 to 3Not measured74.7%Only Qwen3.8 Max (0902) measured
FrontierMath, tier 4Not measured46.3%Only Qwen3.8 Max (0902) measured
ProofBenchNot measured58.0%Only Qwen3.8 Max (0902) measured
LMArena Text: math14281501Qwen3.8 Max (0902)
LMArena Text: mathematical work14171491Qwen3.8 Max (0902)
Neither model has a result on the other 6 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index37
Knowledge benchmarks for Gemini 3.1 Flash Lite Preview and Qwen3.8 Max (0902)
BenchmarkGemini 3.1 Flash Lite PreviewQwen3.8 Max (0902)Leader
MMLU Pro86.2%88.6%Qwen3.8 Max (0902)
LegalBench (Vals AI)83.8%83.6%Gemini 3.1 Flash Lite Preview
CaseLaw (Vals AI)55.0%Not measuredOnly Gemini 3.1 Flash Lite Preview measured
CorpFin (Vals AI)59.4%65.8%Qwen3.8 Max (0902)
TaxEval (Vals AI)71.8%75.5%Qwen3.8 Max (0902)
MortgageTax (Vals AI)68.0%64.0%Gemini 3.1 Flash Lite Preview
MedCode (Vals AI)47.6%40.7%Gemini 3.1 Flash Lite Preview
SimpleQA VerifiedNot measured47.3%Only Qwen3.8 Max (0902) measured
LMArena Text: science14251512Qwen3.8 Max (0902)
LMArena Text: medicine and healthcare14281503Qwen3.8 Max (0902)
LMArena Text: legal and government14181492Qwen3.8 Max (0902)
LMArena Text: business and finance13891480Qwen3.8 Max (0902)
Neither model has a result on the other 5 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index07
Web design benchmarks for Gemini 3.1 Flash Lite Preview and Qwen3.8 Max (0902)
BenchmarkGemini 3.1 Flash Lite PreviewQwen3.8 Max (0902)Leader
Design Arena: websites10831275Qwen3.8 Max (0902)
Design Arena: UI components10711340Qwen3.8 Max (0902)
Design Arena: game dev10291313Qwen3.8 Max (0902)
Design Arena: data viz10451281Qwen3.8 Max (0902)
Design Arena: 3D10481337Qwen3.8 Max (0902)
Design Arena: all code categories10721293Qwen3.8 Max (0902)
Design Arena: SVG1052Not measuredOnly Gemini 3.1 Flash Lite Preview measured
Design Arena: ASCII art11661201Qwen3.8 Max (0902)
LiveBench designNot measured78.6%Only Qwen3.8 Max (0902) measured
GeneralLike-for-likePublic boards, shown as published, kept out of the index026
General benchmarks for Gemini 3.1 Flash Lite Preview and Qwen3.8 Max (0902)
BenchmarkGemini 3.1 Flash Lite PreviewQwen3.8 Max (0902)Leader
LiveBench data analysisNot measured78.4%Only Qwen3.8 Max (0902) measured
Public Benefits Bench (Vals AI)Not measured67.1%Only Qwen3.8 Max (0902) measured
SAGE (Vals AI)49.5%51.2%Qwen3.8 Max (0902)
MedScribe (Vals AI)63.9%85.0%Qwen3.8 Max (0902)
Vals Multimodal Index41.4%65.4%Qwen3.8 Max (0902)
Long context reasoning (AA-LCR)Not measured80.3%Only Qwen3.8 Max (0902) measured
DTBenchNot measured92.0%Only Qwen3.8 Max (0902) measured
LMCANot measured46.2%Only Qwen3.8 Max (0902) measured
Furniture assemblyNot measured20.0%Only Qwen3.8 Max (0902) measured
LMArena Text14161483Qwen3.8 Max (0902)
LMArena Text: instruction following13771481Qwen3.8 Max (0902)
LMArena Text: creative writing14011477Qwen3.8 Max (0902)
LMArena Vision12401313Qwen3.8 Max (0902)
LMArena Text: English14141491Qwen3.8 Max (0902)
LMArena Text: non-English14101473Qwen3.8 Max (0902)
LMArena Text: Chinese14601539Qwen3.8 Max (0902)
LMArena Text: German14301478Qwen3.8 Max (0902)
LMArena Text: Japanese14131473Qwen3.8 Max (0902)
LMArena Text: Korean13921460Qwen3.8 Max (0902)
LMArena Text: French14241498Qwen3.8 Max (0902)
LMArena Text: Spanish14211489Qwen3.8 Max (0902)
LMArena Text: Russian14201482Qwen3.8 Max (0902)
LMArena Text: Polish14431471Qwen3.8 Max (0902)
LMArena Text: multi-turn14171489Qwen3.8 Max (0902)
LMArena Text: longer queries13941488Qwen3.8 Max (0902)
LMArena Text: writing and language14081477Qwen3.8 Max (0902)
LMArena Text: entertainment and media13861464Qwen3.8 Max (0902)
LMArena Vision: English12321311Qwen3.8 Max (0902)
LMArena Vision: Chinese12781358Qwen3.8 Max (0902)
LMArena Vision: reading text12461322Qwen3.8 Max (0902)
LMArena Vision: humor12661304Qwen3.8 Max (0902)
LMArena Vision: captioning1259Not measuredOnly Gemini 3.1 Flash Lite Preview measured
LMArena Vision: recognizing things1308Not measuredOnly Gemini 3.1 Flash Lite Preview measured
LMArena Vision: creative writing12481312Qwen3.8 Max (0902)
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 3.1 Flash Lite Preview and Qwen3.8 Max (0902)
BenchmarkGemini 3.1 Flash Lite PreviewQwen3.8 Max (0902)Leader
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 3.1 Flash Lite Preview$0.0010Fits in one request
Qwen3.8 Max (0902)$0.0050Fits in one request

Gemini 3.1 Flash Lite Preview costs less

Repository review

50K input + 3K output tokens

Gemini 3.1 Flash Lite Preview$0.017Fits in one request
Qwen3.8 Max (0902)$0.118Fits in one request

Gemini 3.1 Flash Lite Preview costs less

Agent loop

200K input + 10K output tokens

Gemini 3.1 Flash Lite Preview$0.065Fits in one request
Qwen3.8 Max (0902)$0.460Fits in one request

Gemini 3.1 Flash Lite Preview 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 3.1 Flash Lite Preview and Qwen3.8 Max (0902)
SpecificationGoogle Gemini 3.1 Flash Lite PreviewQwen3.8 Max (0902)
MakerGoogleQwen
WeightsNo public weights listedNo public weights listed
ReleasedMarch 3, 2026September 3, 2026
Context window1.05M1M
Input $/Mtok$0.25$2.00
Output $/Mtok$1.50$6.00
Coding index8.163.5
Independent measurements behind it12
Cost per solved task$0.18$1.32
SourceOpenRouter listingOpenRouter listing

Questions

Is Gemini 3.1 Flash Lite Preview better than Qwen3.8 Max (0902) for coding?

Pick Qwen3.8 Max (0902) for coding: it scores 63.5 on the Vibe Coding Index against 8.1 for Gemini 3.1 Flash Lite Preview. Pick Gemini 3.1 Flash Lite Preview when output tokens cost 4.0x less, or when a solved task costs $0.18 against $1.32.

Which is cheaper, Gemini 3.1 Flash Lite Preview or Qwen3.8 Max (0902)?

Gemini 3.1 Flash Lite Preview costs $0.25 per million input tokens and $1.50 per million output tokens; Qwen3.8 Max (0902) costs $2.00 and $6.00. Per solved SWE-bench Verified task, Gemini 3.1 Flash Lite Preview costs $0.18 and Qwen3.8 Max (0902) $1.32.

Which has the bigger context window, Gemini 3.1 Flash Lite Preview or Qwen3.8 Max (0902)?

Gemini 3.1 Flash Lite Preview, with 1.05M tokens against 1M.

How many benchmarks is the Gemini 3.1 Flash Lite Preview vs Qwen3.8 Max (0902) comparison based on?

71 benchmarks have a result for both models as of October 21, 2026. Gemini 3.1 Flash Lite Preview's coding index rests on 1 independent benchmark and Qwen3.8 Max (0902)'s on 2. Where only one model has a result, the page says so instead of naming a winner.

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