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Gemini 3.5 Flash Lite vs Qwen3.8 Max (0902)

Updated October 21, 2026. 79 benchmarks have a result for both. Coding is ranked on the Vibe Coding Index; every other board is shown as published.

Replace Gemini 3.5 Flash Lite Replace Qwen3.8 Max (0902)
Gemini 3.5 Flash LiteGoogle
Coding
33.6
Overall
22.2
Output $/M
$2.50
4
Qwen3.8 Max (0902)Qwen
Coding
63.5
Overall
45.4
Output $/M
$6.00
74
vs boards won of 79 shared, 1 tied

Decision reading

Pick Qwen3.8 Max (0902) for coding: it scores 63.5 on the Vibe Coding Index against 33.6 for Gemini 3.5 Flash Lite.

Pick Gemini 3.5 Flash Lite when output tokens cost 2.4x less, or when a solved task costs $0.41 against $1.32.

Model AGemini 3.5 Flash LiteGoogle33.6/1001 independent benchmark$0.41 per solved taskModel BQwen3.8 Max (0902)Qwen63.5/1002 independent benchmarks$1.32 per solved task
Shared results
79
Gemini 3.5 Flash Lite only
4
Qwen3.8 Max (0902) only
34
Like-for-like categories
7 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 Lite 33.6 from 1 benchmark, Qwen3.8 Max (0902) 63.5 from 2 benchmarks.
Widest category
Math, 31.6 points apart on average over 6 shared benchmarks.
Widest single gap
FrontierMath, tiers 1 to 3: Gemini 3.5 Flash Lite 26.0% against Qwen3.8 Max (0902) 74.7%, 48.8 points apart on a 0 to 100 scale.
Output price
Gemini 3.5 Flash Lite $2.50 against Qwen3.8 Max (0902) $6.00 per million output tokens, 2.4x apart.
Context window
Gemini 3.5 Flash Lite 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 3.5 Flash LiteBarsQwen3.8 Max (0902)Ties
Coding1121 tie
Intelligence02
Agentic work06
Reasoning012
Math06
Knowledge37
General029
All shared boards4741 tie
CodingLike-for-likeFour of these boards feed the Vibe Coding Index112
Coding benchmarks for Gemini 3.5 Flash Lite and Qwen3.8 Max (0902)
BenchmarkGemini 3.5 Flash LiteQwen3.8 Max (0902)Leader
LiveBench codingNot measured60.3%Only Qwen3.8 Max (0902) measured
LMArena WebDev14351674Qwen3.8 Max (0902)
AA Coding Index49.376.2Qwen3.8 Max (0902)
LiveCodeBench (Vals AI)79.0%87.8%Qwen3.8 Max (0902)
SWE-bench Verified (Vals AI)75.0%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)37.2%64.7%Qwen3.8 Max (0902)
Code migration (Vals AI)6.2%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)50.2%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)59.1%28.6%Gemini 3.5 Flash Lite
SciCode41.3%53.2%Qwen3.8 Max (0902)
FrontierSWENot measured17.8%Only Qwen3.8 Max (0902) measured
WeirdML39.0%Not measuredOnly Gemini 3.5 Flash Lite measured
ALE-Bench765.3Not measuredOnly Gemini 3.5 Flash Lite measured
LMArena Text: coding14531502Qwen3.8 Max (0902)
LMArena Text: software and IT14511498Qwen3.8 Max (0902)
LMArena WebDev: React14081692Qwen3.8 Max (0902)
LMArena WebDev: HTMLNot measured1649Only Qwen3.8 Max (0902) measured
LMArena WebDev: from an image14481637Qwen3.8 Max (0902)
Neither model has a result on the other 14 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index02
Intelligence benchmarks for Gemini 3.5 Flash Lite and Qwen3.8 Max (0902)
BenchmarkGemini 3.5 Flash LiteQwen3.8 Max (0902)Leader
AA Intelligence Index22.245.4Qwen3.8 Max (0902)
Epoch Capabilities Index144.9157.4Qwen3.8 Max (0902)
Agentic workLike-for-likePublic boards, shown as published, kept out of the index06
Agentic work benchmarks for Gemini 3.5 Flash Lite and Qwen3.8 Max (0902)
BenchmarkGemini 3.5 Flash LiteQwen3.8 Max (0902)Leader
AA Agentic Index14.356.0Qwen3.8 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)47.4%50.6%Qwen3.8 Max (0902)
Tax Agent Bench (Vals AI)7.2%32.1%Qwen3.8 Max (0902)
Legal Research Bench (Vals AI)13.9%47.6%Qwen3.8 Max (0902)
Excel Modeling Benchmark (Vals AI)43.2%60.1%Qwen3.8 Max (0902)
Terminal-Bench-Science (Vals AI)Not measured12.9%Only Qwen3.8 Max (0902) measured
APEX-Agents29.3%63.3%Qwen3.8 Max (0902)
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 index012
Reasoning benchmarks for Gemini 3.5 Flash Lite and Qwen3.8 Max (0902)
BenchmarkGemini 3.5 Flash LiteQwen3.8 Max (0902)Leader
GPQA Diamond83.8%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)83.6%88.0%Qwen3.8 Max (0902)
GPQA Diamond (Artificial Analysis run)83.8%92.8%Qwen3.8 Max (0902)
Humanity's Last Exam (Artificial Analysis run)18.8%43.1%Qwen3.8 Max (0902)
GPQA Diamond (Epoch AI run)83.3%92.7%Qwen3.8 Max (0902)
ARC-AGI53.5%Not measuredOnly Gemini 3.5 Flash Lite measured
ARC-AGI-210.3%Not measuredOnly Gemini 3.5 Flash Lite measured
Chess puzzles21.0%46.0%Qwen3.8 Max (0902)
Mystery game puzzles19.0%38.0%Qwen3.8 Max (0902)
LMArena Text: hard prompts14411496Qwen3.8 Max (0902)
LMArena Text: expert14341507Qwen3.8 Max (0902)
LMArena Text: hard prompts in English14401503Qwen3.8 Max (0902)
LMArena Vision: diagrams12841323Qwen3.8 Max (0902)
LMArena Vision: homework12911336Qwen3.8 Max (0902)
Neither model has a result on the other 5 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index06
Math benchmarks for Gemini 3.5 Flash Lite and Qwen3.8 Max (0902)
BenchmarkGemini 3.5 Flash LiteQwen3.8 Max (0902)Leader
OTIS Mock AIME71.1%100.0%Qwen3.8 Max (0902)
FrontierMath, tiers 1 to 326.0%74.7%Qwen3.8 Max (0902)
FrontierMath, tier 40.0%46.3%Qwen3.8 Max (0902)
ProofBench13.0%58.0%Qwen3.8 Max (0902)
LMArena Text: math14341501Qwen3.8 Max (0902)
LMArena Text: mathematical work14331491Qwen3.8 Max (0902)
Neither model has a result on the other 7 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index37
Knowledge benchmarks for Gemini 3.5 Flash Lite and Qwen3.8 Max (0902)
BenchmarkGemini 3.5 Flash LiteQwen3.8 Max (0902)Leader
MMLU Pro85.8%88.6%Qwen3.8 Max (0902)
LegalBench (Vals AI)84.1%83.6%Gemini 3.5 Flash Lite
CorpFin (Vals AI)60.7%65.8%Qwen3.8 Max (0902)
TaxEval (Vals AI)72.6%75.5%Qwen3.8 Max (0902)
MortgageTax (Vals AI)68.7%64.0%Gemini 3.5 Flash Lite
MedCode (Vals AI)43.5%40.7%Gemini 3.5 Flash Lite
SimpleQA VerifiedNot measured47.3%Only Qwen3.8 Max (0902) measured
LMArena Text: science14511512Qwen3.8 Max (0902)
LMArena Text: medicine and healthcare14381503Qwen3.8 Max (0902)
LMArena Text: legal and government14311492Qwen3.8 Max (0902)
LMArena Text: business and finance14231480Qwen3.8 Max (0902)
Neither model has a result on the other 6 boards here
Web designDirectional onlyPublic boards, shown as published, kept out of the index8 boards, none shared
Web design benchmarks for Gemini 3.5 Flash Lite and Qwen3.8 Max (0902)
BenchmarkGemini 3.5 Flash LiteQwen3.8 Max (0902)Leader
Design Arena: websitesNot measured1275Only Qwen3.8 Max (0902) measured
Design Arena: UI componentsNot measured1340Only Qwen3.8 Max (0902) measured
Design Arena: game devNot measured1313Only Qwen3.8 Max (0902) measured
Design Arena: data vizNot measured1281Only Qwen3.8 Max (0902) measured
Design Arena: 3DNot measured1337Only Qwen3.8 Max (0902) measured
Design Arena: all code categoriesNot measured1293Only Qwen3.8 Max (0902) measured
Design Arena: ASCII artNot measured1201Only Qwen3.8 Max (0902) measured
LiveBench designNot measured78.6%Only Qwen3.8 Max (0902) measured
Neither model has a result on the other 1 board here
GeneralLike-for-likePublic boards, shown as published, kept out of the index029
General benchmarks for Gemini 3.5 Flash Lite and Qwen3.8 Max (0902)
BenchmarkGemini 3.5 Flash LiteQwen3.8 Max (0902)Leader
LiveBench data analysisNot measured78.4%Only Qwen3.8 Max (0902) measured
Public Benefits Bench (Vals AI)51.8%67.1%Qwen3.8 Max (0902)
SAGE (Vals AI)47.3%51.2%Qwen3.8 Max (0902)
MedScribe (Vals AI)70.9%85.0%Qwen3.8 Max (0902)
Vals Multimodal IndexNot measured65.4%Only Qwen3.8 Max (0902) measured
Long context reasoning (AA-LCR)76.0%80.3%Qwen3.8 Max (0902)
DTBench83.5%92.0%Qwen3.8 Max (0902)
LMCA37.6%46.2%Qwen3.8 Max (0902)
Furniture assemblyNot measured20.0%Only Qwen3.8 Max (0902) measured
LMArena Text14351483Qwen3.8 Max (0902)
LMArena Text: instruction following14191481Qwen3.8 Max (0902)
LMArena Text: creative writing14211477Qwen3.8 Max (0902)
LMArena Vision12691313Qwen3.8 Max (0902)
LMArena Text: English14381491Qwen3.8 Max (0902)
LMArena Text: non-English14271473Qwen3.8 Max (0902)
LMArena Text: Chinese14681539Qwen3.8 Max (0902)
LMArena Text: German14541478Qwen3.8 Max (0902)
LMArena Text: Japanese14261473Qwen3.8 Max (0902)
LMArena Text: Korean14071460Qwen3.8 Max (0902)
LMArena Text: French14511498Qwen3.8 Max (0902)
LMArena Text: Spanish14411489Qwen3.8 Max (0902)
LMArena Text: Russian14431482Qwen3.8 Max (0902)
LMArena Text: Polish14371471Qwen3.8 Max (0902)
LMArena Text: multi-turn14451489Qwen3.8 Max (0902)
LMArena Text: longer queries14351488Qwen3.8 Max (0902)
LMArena Text: writing and language14281477Qwen3.8 Max (0902)
LMArena Text: entertainment and media14141464Qwen3.8 Max (0902)
LMArena Vision: English12691311Qwen3.8 Max (0902)
LMArena Vision: Chinese13111358Qwen3.8 Max (0902)
LMArena Vision: reading text12801322Qwen3.8 Max (0902)
LMArena Vision: humor12871304Qwen3.8 Max (0902)
LMArena Vision: creative writing12601312Qwen3.8 Max (0902)
Neither model has a result on the other 14 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 Lite and Qwen3.8 Max (0902)
BenchmarkGemini 3.5 Flash LiteQwen3.8 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 3.5 Flash Lite$0.0015Fits in one request
Qwen3.8 Max (0902)$0.0050Fits in one request

Gemini 3.5 Flash Lite costs less

Repository review

50K input + 3K output tokens

Gemini 3.5 Flash Lite$0.022Fits in one request
Qwen3.8 Max (0902)$0.118Fits in one request

Gemini 3.5 Flash Lite costs less

Agent loop

200K input + 10K output tokens

Gemini 3.5 Flash Lite$0.085Fits in one request
Qwen3.8 Max (0902)$0.460Fits in one request

Gemini 3.5 Flash Lite 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 Lite and Qwen3.8 Max (0902)
SpecificationGoogle Gemini 3.5 Flash LiteQwen3.8 Max (0902)
MakerGoogleQwen
WeightsNo public weights listedNo public weights listed
ReleasedJuly 21, 2026September 3, 2026
Context window1.05M1M
Input $/Mtok$0.30$2.00
Output $/Mtok$2.50$6.00
Coding index33.663.5
Independent measurements behind it12
Cost per solved task$0.41$1.32
SourceOpenRouter listingOpenRouter listing

Questions

Is Gemini 3.5 Flash Lite 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 33.6 for Gemini 3.5 Flash Lite. Pick Gemini 3.5 Flash Lite when output tokens cost 2.4x less, or when a solved task costs $0.41 against $1.32.

Which is cheaper, Gemini 3.5 Flash Lite or Qwen3.8 Max (0902)?

Gemini 3.5 Flash Lite costs $0.30 per million input tokens and $2.50 per million output tokens; Qwen3.8 Max (0902) costs $2.00 and $6.00. Per solved SWE-bench Verified task, Gemini 3.5 Flash Lite costs $0.41 and Qwen3.8 Max (0902) $1.32.

Which has the bigger context window, Gemini 3.5 Flash Lite or Qwen3.8 Max (0902)?

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

How many benchmarks is the Gemini 3.5 Flash Lite vs Qwen3.8 Max (0902) comparison based on?

79 benchmarks have a result for both models as of October 21, 2026. Gemini 3.5 Flash Lite'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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