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Gemini 2.5 Flash Lite vs Qwen3 32B

Gemini 2.5 Flash Lite leads Qwen3 32B on the Artificial Analysis Intelligence Index, 10.4 to 7.3, at about the same output price ($0.40 vs $0.40 per million). Updated October 21, 2026; 16 benchmarks have a result for both.

Gemini 2.5 Flash LiteGoogle
Coding
No data
Overall
No data
Output $/M
$0.40
6
Qwen3 32BQwen
Coding
No data
Overall
40.8
Output $/M
$0.40
10
vs boards won of 16 shared

Gemini 2.5 Flash Lite or Qwen3 32B: which to pick

Neither model has a coding score yet, so the two cannot be ranked on coding.

Pick Gemini 2.5 Flash Lite for a larger context window (1.05M against 131K tokens) and work measured by Epoch Capabilities Index or τ²-Bench Telecom, where it leads.

Shared results
16
Gemini 2.5 Flash Lite only
14
Qwen3 32B only
29
Like-for-like categories
7 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 2.5 Flash Lite not benchmarked, Qwen3 32B not benchmarked.
Widest category
Math, 19.7 points apart on average over 2 shared benchmarks.
Widest single gap
Long context reasoning (AA-LCR): Gemini 2.5 Flash Lite 55.7% against Qwen3 32B 0.0%, 55.7 points apart on a 0 to 100 scale.
Output price
Both cost $0.40 per million output tokens.
Context window
Gemini 2.5 Flash Lite takes 1.05M tokens, Qwen3 32B 131K.

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 2.5 Flash LiteBarsQwen3 32BTies
Coding20
Intelligence11
Agentic work02
Reasoning03
Math02
Knowledge01
General31
All shared boards610
CodingLike-for-likeSix of these boards feed the Vibe Coding Index20
Coding benchmarks for Gemini 2.5 Flash Lite and Qwen3 32B
BenchmarkGemini 2.5 Flash LiteQwen3 32BLeader
Aider polyglotNot measured40.0%Only Qwen3 32B measured
LiveCodeBench (Vals AI)71.4%Not measuredOnly Gemini 2.5 Flash Lite measured
LiveCodeBench (Artificial Analysis run)59.3%54.6%Gemini 2.5 Flash Lite
SciCodeNot measured36.0%Only Qwen3 32B measured
Terminal-Bench Hard (Artificial Analysis run)4.5%3.0%Gemini 2.5 Flash Lite
LMArena Text: codingNot measured1357Only Qwen3 32B measured
LMArena Text: software and ITNot measured1366Only Qwen3 32B measured
Neither model has a result on the other 32 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index11
Intelligence benchmarks for Gemini 2.5 Flash Lite and Qwen3 32B
BenchmarkGemini 2.5 Flash LiteQwen3 32BLeader
AA Intelligence Index10.47.3Gemini 2.5 Flash Lite
Epoch Capabilities Index133.8138.4Qwen3 32B
Agentic workLike-for-likePublic boards, shown as published, kept out of the index02
Agentic work benchmarks for Gemini 2.5 Flash Lite and Qwen3 32B
BenchmarkGemini 2.5 Flash LiteQwen3 32BLeader
τ²-Bench Telecom19.0%29.8%Qwen3 32B
Berkeley Function Calling Leaderboard (BFCL)36.9%48.7%Qwen3 32B
BrowseComp-PlusNot measured10.7%Only Qwen3 32B measured
Neither model has a result on the other 38 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index03
Reasoning benchmarks for Gemini 2.5 Flash Lite and Qwen3 32B
BenchmarkGemini 2.5 Flash LiteQwen3 32BLeader
GPQA Diamond70.2%Not measuredOnly Gemini 2.5 Flash Lite measured
MMMU Pro (Vals AI)75.4%Not measuredOnly Gemini 2.5 Flash Lite measured
GPQA Diamond (Artificial Analysis run)62.5%66.8%Qwen3 32B
Humanity's Last Exam (Artificial Analysis run)6.8%7.4%Qwen3 32B
GPQA Diamond (Epoch AI run)Not measured65.7%Only Qwen3 32B measured
LMArena Text: hard promptsNot measured1334Only Qwen3 32B measured
LMArena Text: expertNot measured1362Only Qwen3 32B measured
LMArena Text: hard prompts in EnglishNot measured1350Only Qwen3 32B measured
Kagi LLM Benchmark40.5%48.7%Qwen3 32B
Neither model has a result on the other 13 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index02
Math benchmarks for Gemini 2.5 Flash Lite and Qwen3 32B
BenchmarkGemini 2.5 Flash LiteQwen3 32BLeader
AIME42.1%Not measuredOnly Gemini 2.5 Flash Lite measured
MGSM (Vals AI)89.5%Not measuredOnly Gemini 2.5 Flash Lite measured
AA Math Index53.373.0Qwen3 32B
AIME 2025 (Artificial Analysis run)53.3%73.0%Qwen3 32B
OTIS Mock AIMENot measured66.9%Only Qwen3 32B measured
LMArena Text: mathNot measured1399Only Qwen3 32B measured
LMArena Text: mathematical workNot measured1420Only Qwen3 32B measured
Neither model has a result on the other 6 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index01
Knowledge benchmarks for Gemini 2.5 Flash Lite and Qwen3 32B
BenchmarkGemini 2.5 Flash LiteQwen3 32BLeader
MMLU Pro79.1%Not measuredOnly Gemini 2.5 Flash Lite measured
LegalBench (Vals AI)82.0%Not measuredOnly Gemini 2.5 Flash Lite measured
CorpFin (Vals AI)57.6%Not measuredOnly Gemini 2.5 Flash Lite measured
TaxEval (Vals AI)66.2%Not measuredOnly Gemini 2.5 Flash Lite measured
MortgageTax (Vals AI)57.6%Not measuredOnly Gemini 2.5 Flash Lite measured
MedQA (Vals AI)88.9%Not measuredOnly Gemini 2.5 Flash Lite measured
MedCode (Vals AI)34.2%Not measuredOnly Gemini 2.5 Flash Lite measured
MMLU Pro (Artificial Analysis run)75.9%79.8%Qwen3 32B
LMArena Text: scienceNot measured1372Only Qwen3 32B measured
LMArena Text: medicine and healthcareNot measured1368Only Qwen3 32B measured
LMArena Text: legal and governmentNot measured1324Only Qwen3 32B measured
LMArena Text: business and financeNot measured1318Only Qwen3 32B measured
Neither model has a result on the other 6 boards here
Web designNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Web design benchmarks for Gemini 2.5 Flash Lite and Qwen3 32B
BenchmarkGemini 2.5 Flash LiteQwen3 32BLeader
Neither model has a result on 9 boards here
GeneralLike-for-likePublic boards, shown as published, kept out of the index31
General benchmarks for Gemini 2.5 Flash Lite and Qwen3 32B
BenchmarkGemini 2.5 Flash LiteQwen3 32BLeader
SAGE (Vals AI)30.8%Not measuredOnly Gemini 2.5 Flash Lite measured
MedScribe (Vals AI)75.8%Not measuredOnly Gemini 2.5 Flash Lite measured
IFBench49.9%36.3%Gemini 2.5 Flash Lite
Long context reasoning (AA-LCR)55.7%0.0%Gemini 2.5 Flash Lite
DTBench62.8%67.5%Qwen3 32B
LMCA18.1%17.3%Gemini 2.5 Flash Lite
Fiction.LiveBenchNot measured74.2%Only Qwen3 32B measured
LMArena TextNot measured1340Only Qwen3 32B measured
LMArena Text: instruction followingNot measured1305Only Qwen3 32B measured
LMArena Text: creative writingNot measured1297Only Qwen3 32B measured
LMArena Text: EnglishNot measured1359Only Qwen3 32B measured
LMArena Text: non-EnglishNot measured1317Only Qwen3 32B measured
LMArena Text: ChineseNot measured1357Only Qwen3 32B measured
LMArena Text: GermanNot measured1341Only Qwen3 32B measured
LMArena Text: RussianNot measured1311Only Qwen3 32B measured
LMArena Text: multi-turnNot measured1331Only Qwen3 32B measured
LMArena Text: longer queriesNot measured1327Only Qwen3 32B measured
LMArena Text: writing and languageNot measured1298Only Qwen3 32B measured
LMArena Text: entertainment and mediaNot measured1279Only Qwen3 32B measured
Neither model has a result on the other 27 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for Gemini 2.5 Flash Lite and Qwen3 32B
BenchmarkGemini 2.5 Flash LiteQwen3 32BLeader
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 2.5 Flash Lite$0.0003Fits in one request
Qwen3 32B$0.0003Fits in one request

Gemini 2.5 Flash Lite costs less

Repository review

50K input + 3K output tokens

Gemini 2.5 Flash Lite$0.0062Fits in one request
Qwen3 32B$0.0082Fits in one request

Gemini 2.5 Flash Lite costs less

Agent loop

200K input + 10K output tokens

Gemini 2.5 Flash Lite$0.024Fits in one request
Qwen3 32B$0.032Exceeds the context window

Gemini 2.5 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 2.5 Flash Lite and Qwen3 32B
SpecificationGoogle Gemini 2.5 Flash LiteQwen3 32B
MakerGoogleQwen
WeightsNo public weights listedOpen weights
ReleasedJuly 22, 2025April 28, 2025
Context window1.05M131K
Input $/Mtok$0.10$0.14
Output $/Mtok$0.40$0.40
Coding indexNot benchmarkedNot benchmarked
Independent measurements behind it00
Cost per solved taskNot computableNot computable
SourceOpenRouter listingOpenRouter listing

Questions

Is Gemini 2.5 Flash Lite better than Qwen3 32B for coding?

Neither model has a coding score yet, so the two cannot be ranked on coding. Pick Gemini 2.5 Flash Lite for a larger context window (1.05M against 131K tokens) and work measured by Epoch Capabilities Index or τ²-Bench Telecom, where it leads.

Which is cheaper, Gemini 2.5 Flash Lite or Qwen3 32B?

Gemini 2.5 Flash Lite costs $0.10 per million input tokens and $0.40 per million output tokens; Qwen3 32B costs $0.14 and $0.40. Cost per solved task is known for neither of them.

Which has the bigger context window, Gemini 2.5 Flash Lite or Qwen3 32B?

Gemini 2.5 Flash Lite, with 1.05M tokens against 131K.

How many benchmarks is the Gemini 2.5 Flash Lite vs Qwen3 32B comparison based on?

16 benchmarks have a result for both models as of October 21, 2026. Gemini 2.5 Flash Lite's coding index rests on 0 independent benchmarks and Qwen3 32B's on 0. Where only one model has a result, the page says so instead of naming a winner.

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