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Gemini 2.5 Flash vs Qwen3.5-Flash

Qwen3.5-Flash costs 9.6x less per output token than Gemini 2.5 Flash ($0.26 vs $2.50 per million). Updated October 22, 2026; 34 benchmarks have a result for both.

Replace Gemini 2.5 Flash Replace Qwen3.5-Flash
Gemini 2.5 FlashGoogle
Coding
No data
Overall
34.3
Output $/M
$2.50
31
Qwen3.5-FlashQwen
Coding
41.1
Overall
50.1
Output $/M
$0.26
3
vs boards won of 34 shared

Gemini 2.5 Flash or Qwen3.5-Flash: which to pick

Only Qwen3.5-Flash has a coding score, 41.1 on the Vibe Coding Index; Gemini 2.5 Flash has none, so the two cannot be ranked on coding.

Pick Gemini 2.5 Flash for a larger context window (1.05M against 1M tokens) and work measured by LMArena Text: coding or LMArena Text: software and IT, where it leads.

Model AGemini 2.5 FlashGoogleNot benchmarkedNo coding benchmark$0.466 per solved taskModel BQwen3.5-FlashQwen41.1/1002 independent benchmarks$0.40 per solved task
Shared results
34
Gemini 2.5 Flash only
39
Qwen3.5-Flash only
21
Like-for-like categories
6 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 not benchmarked, Qwen3.5-Flash 41.1 from 2 benchmarks.
Widest category
General, 4.9 points apart on average over 21 shared benchmarks.
Widest single gap
MedScribe (Vals AI): Gemini 2.5 Flash 83.0% against Qwen3.5-Flash 70.6%, 12.4 points apart on a 0 to 100 scale.
Output price
Gemini 2.5 Flash $2.50 against Qwen3.5-Flash $0.26 per million output tokens, 9.6x apart.
Context window
Gemini 2.5 Flash takes 1.05M tokens, Qwen3.5-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.

Boards won, where both have a result
CategoryGemini 2.5 FlashBarsQwen3.5-FlashTies
Coding20
Intelligence01
Reasoning30
Math20
Knowledge50
General192
All shared boards313
CodingLike-for-likeSix of these boards feed the Vibe Coding Index20
Coding benchmarks for Gemini 2.5 Flash and Qwen3.5-Flash
BenchmarkGemini 2.5 FlashQwen3.5-FlashLeader
SWE-bench Verified28.7%Not measuredOnly Gemini 2.5 Flash measured
LMArena WebDevNot measured1244Only Qwen3.5-Flash measured
LiveCodeBench (Vals AI)Not measured83.3%Only Qwen3.5-Flash measured
SWE-bench Verified (Vals AI)Not measured64.4%Only Qwen3.5-Flash measured
LiveCodeBench (Artificial Analysis run)69.5%Not measuredOnly Gemini 2.5 Flash measured
Terminal-Bench Hard (Artificial Analysis run)13.6%Not measuredOnly Gemini 2.5 Flash measured
Terminal-Bench17.1%Not measuredOnly Gemini 2.5 Flash measured
ALE-BenchNot measured265.9Only Qwen3.5-Flash measured
LMArena Text: coding14231412Gemini 2.5 Flash
LMArena Text: software and IT14251416Gemini 2.5 Flash
LMArena WebDev: ReactNot measured1229Only Qwen3.5-Flash measured
LMArena WebDev: HTMLNot measured1291Only Qwen3.5-Flash measured
Neither model has a result on the other 27 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index01
Intelligence benchmarks for Gemini 2.5 Flash and Qwen3.5-Flash
BenchmarkGemini 2.5 FlashQwen3.5-FlashLeader
AA Intelligence Index15.5Not measuredOnly Gemini 2.5 Flash measured
Epoch Capabilities Index142.9143.5Qwen3.5-Flash
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index5 boards, none shared
Agentic work benchmarks for Gemini 2.5 Flash and Qwen3.5-Flash
BenchmarkGemini 2.5 FlashQwen3.5-FlashLeader
τ²-Bench Telecom31.6%Not measuredOnly Gemini 2.5 Flash measured
BALROG33.5%Not measuredOnly Gemini 2.5 Flash measured
Vending-Bench 2$549Not measuredOnly Gemini 2.5 Flash measured
Berkeley Function Calling Leaderboard (BFCL)56.2%Not measuredOnly Gemini 2.5 Flash measured
BrowseComp-Plus39.9%Not measuredOnly Gemini 2.5 Flash measured
Neither model has a result on the other 36 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index30
Reasoning benchmarks for Gemini 2.5 Flash and Qwen3.5-Flash
BenchmarkGemini 2.5 FlashQwen3.5-FlashLeader
GPQA DiamondNot measured82.8%Only Qwen3.5-Flash measured
MMMU Pro (Vals AI)Not measured81.9%Only Qwen3.5-Flash measured
GPQA Diamond (Artificial Analysis run)79.0%Not measuredOnly Gemini 2.5 Flash measured
Humanity's Last Exam (Artificial Analysis run)12.1%Not measuredOnly Gemini 2.5 Flash measured
GPQA Diamond (Epoch AI run)Not measured82.3%Only Qwen3.5-Flash measured
ARC-AGI33.3%Not measuredOnly Gemini 2.5 Flash measured
ARC-AGI-22.5%Not measuredOnly Gemini 2.5 Flash measured
SimpleBench41.2%Not measuredOnly Gemini 2.5 Flash measured
Chess puzzlesNot measured14.0%Only Qwen3.5-Flash measured
Mystery game puzzlesNot measured20.0%Only Qwen3.5-Flash measured
LMArena Text: hard prompts14221403Gemini 2.5 Flash
LMArena Text: expert14261407Gemini 2.5 Flash
LMArena Text: hard prompts in English14201409Gemini 2.5 Flash
LMArena Vision: diagrams1245Not measuredOnly Gemini 2.5 Flash measured
LMArena Vision: homework1244Not measuredOnly Gemini 2.5 Flash measured
Kagi LLM Benchmark56.8%Not measuredOnly Gemini 2.5 Flash measured
Neither model has a result on the other 6 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index20
Math benchmarks for Gemini 2.5 Flash and Qwen3.5-Flash
BenchmarkGemini 2.5 FlashQwen3.5-FlashLeader
AIMENot measured92.5%Only Qwen3.5-Flash measured
AA Math Index73.3Not measuredOnly Gemini 2.5 Flash measured
AIME 2025 (Artificial Analysis run)73.3%Not measuredOnly Gemini 2.5 Flash measured
OTIS Mock AIMENot measured84.4%Only Qwen3.5-Flash measured
FrontierMath, tiers 1 to 3Not measured18.2%Only Qwen3.5-Flash measured
LMArena Text: math14111407Gemini 2.5 Flash
LMArena Text: mathematical work14221413Gemini 2.5 Flash
Neither model has a result on the other 6 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index50
Knowledge benchmarks for Gemini 2.5 Flash and Qwen3.5-Flash
BenchmarkGemini 2.5 FlashQwen3.5-FlashLeader
MMLU ProNot measured84.1%Only Qwen3.5-Flash measured
LegalBench (Vals AI)Not measured84.3%Only Qwen3.5-Flash measured
CaseLaw (Vals AI)Not measured56.0%Only Qwen3.5-Flash measured
CorpFin (Vals AI)Not measured63.6%Only Qwen3.5-Flash measured
TaxEval (Vals AI)Not measured72.2%Only Qwen3.5-Flash measured
MortgageTax (Vals AI)Not measured67.4%Only Qwen3.5-Flash measured
MedCode (Vals AI)40.4%33.0%Gemini 2.5 Flash
MMLU Pro (Artificial Analysis run)83.2%Not measuredOnly Gemini 2.5 Flash measured
SimpleQA VerifiedNot measured20.3%Only Qwen3.5-Flash measured
LMArena Text: science14331415Gemini 2.5 Flash
LMArena Text: medicine and healthcare14281407Gemini 2.5 Flash
LMArena Text: legal and government14301398Gemini 2.5 Flash
LMArena Text: business and finance14041394Gemini 2.5 Flash
FACTS Benchmark Suite47.2%Not measuredOnly Gemini 2.5 Flash measured
Neither model has a result on the other 4 boards here
Web designDirectional onlyPublic boards, shown as published, kept out of the index7 boards, none shared
Web design benchmarks for Gemini 2.5 Flash and Qwen3.5-Flash
BenchmarkGemini 2.5 FlashQwen3.5-FlashLeader
Design Arena: websites1074Not measuredOnly Gemini 2.5 Flash measured
Design Arena: UI components1002Not measuredOnly Gemini 2.5 Flash measured
Design Arena: game dev1004Not measuredOnly Gemini 2.5 Flash measured
Design Arena: data viz1060Not measuredOnly Gemini 2.5 Flash measured
Design Arena: 3D1020Not measuredOnly Gemini 2.5 Flash measured
Design Arena: all code categories1059Not measuredOnly Gemini 2.5 Flash measured
Design Arena: SVG1020Not measuredOnly Gemini 2.5 Flash measured
Neither model has a result on the other 2 boards here
GeneralLike-for-likePublic boards, shown as published, kept out of the index192
General benchmarks for Gemini 2.5 Flash and Qwen3.5-Flash
BenchmarkGemini 2.5 FlashQwen3.5-FlashLeader
SAGE (Vals AI)44.8%42.5%Gemini 2.5 Flash
MedScribe (Vals AI)83.0%70.6%Gemini 2.5 Flash
IFBench50.3%Not measuredOnly Gemini 2.5 Flash measured
Long context reasoning (AA-LCR)65.3%Not measuredOnly Gemini 2.5 Flash measured
DTBench76.5%82.9%Qwen3.5-Flash
LMCA27.5%29.1%Qwen3.5-Flash
LMArena Text14171397Gemini 2.5 Flash
LMArena Text: instruction following14051374Gemini 2.5 Flash
LMArena Text: creative writing14001343Gemini 2.5 Flash
LMArena Vision1235Not measuredOnly Gemini 2.5 Flash measured
LMArena Text: English14181404Gemini 2.5 Flash
LMArena Text: non-English14091385Gemini 2.5 Flash
LMArena Text: Chinese14491445Gemini 2.5 Flash
LMArena Text: German14171390Gemini 2.5 Flash
LMArena Text: Japanese13961369Gemini 2.5 Flash
LMArena Text: Korean13851344Gemini 2.5 Flash
LMArena Text: French14321413Gemini 2.5 Flash
LMArena Text: Spanish14221400Gemini 2.5 Flash
LMArena Text: Russian14151380Gemini 2.5 Flash
LMArena Text: Polish14131376Gemini 2.5 Flash
LMArena Text: multi-turn14081393Gemini 2.5 Flash
LMArena Text: longer queries14191392Gemini 2.5 Flash
LMArena Text: writing and language14051369Gemini 2.5 Flash
LMArena Text: entertainment and media13931347Gemini 2.5 Flash
LMArena Vision: English1239Not measuredOnly Gemini 2.5 Flash measured
LMArena Vision: Chinese1284Not measuredOnly Gemini 2.5 Flash measured
LMArena Vision: reading text1237Not measuredOnly Gemini 2.5 Flash measured
LMArena Vision: humor1225Not measuredOnly Gemini 2.5 Flash measured
LMArena Vision: captioning1277Not measuredOnly Gemini 2.5 Flash measured
LMArena Vision: recognizing things1252Not measuredOnly Gemini 2.5 Flash measured
LMArena Vision: creative writing1241Not measuredOnly Gemini 2.5 Flash measured
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 2.5 Flash and Qwen3.5-Flash
BenchmarkGemini 2.5 FlashQwen3.5-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 2.5 Flash$0.0015Fits in one request
Qwen3.5-Flash$0.0002Fits in one request

Qwen3.5-Flash costs less

Repository review

50K input + 3K output tokens

Gemini 2.5 Flash$0.022Fits in one request
Qwen3.5-Flash$0.0040Fits in one request

Qwen3.5-Flash costs less

Agent loop

200K input + 10K output tokens

Gemini 2.5 Flash$0.085Fits in one request
Qwen3.5-Flash$0.016Fits in one request

Qwen3.5-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 2.5 Flash and Qwen3.5-Flash
SpecificationGoogle Gemini 2.5 FlashQwen3.5-Flash
MakerGoogleQwen
WeightsNo public weights listedNo public weights listed
ReleasedJune 17, 2025February 25, 2026
Context window1.05M1M
Input $/Mtok$0.30$0.065
Output $/Mtok$2.50$0.26
Coding indexNot benchmarked41.1
Independent measurements behind it02
Cost per solved task$0.466$0.40
SourceOpenRouter listingOpenRouter listing

Questions

Is Gemini 2.5 Flash better than Qwen3.5-Flash for coding?

Only Qwen3.5-Flash has a coding score, 41.1 on the Vibe Coding Index; Gemini 2.5 Flash has none, so the two cannot be ranked on coding. Pick Gemini 2.5 Flash for a larger context window (1.05M against 1M tokens) and work measured by LMArena Text: coding or LMArena Text: software and IT, where it leads.

Which is cheaper, Gemini 2.5 Flash or Qwen3.5-Flash?

Gemini 2.5 Flash costs $0.30 per million input tokens and $2.50 per million output tokens; Qwen3.5-Flash costs $0.065 and $0.26. Per solved SWE-bench Verified task, Gemini 2.5 Flash costs $0.466 and Qwen3.5-Flash $0.40.

Which has the bigger context window, Gemini 2.5 Flash or Qwen3.5-Flash?

Gemini 2.5 Flash, with 1.05M tokens against 1M.

How many benchmarks is the Gemini 2.5 Flash vs Qwen3.5-Flash comparison based on?

34 benchmarks have a result for both models as of October 22, 2026. Gemini 2.5 Flash's coding index rests on 0 independent benchmarks and Qwen3.5-Flash's on 2. Where only one model has a result, the page says so instead of naming a winner.

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