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Gemini 2.5 Pro vs Qwen3.5-Flash

Qwen3.5-Flash leads Gemini 2.5 Pro on coding, 41.1 to 19.1 on the Vibe Coding Index, and Qwen3.5-Flash costs 38.5x less per output token ($0.26 vs $10.00 per million). Updated October 22, 2026; 43 benchmarks have a result for both.

Gemini 2.5 ProGoogle
Coding
19.1
Overall
41.8
Output $/M
$10.00
37
Qwen3.5-FlashQwen
Coding
41.1
Overall
50.1
Output $/M
$0.26
6
vs boards won of 43 shared

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

Pick Qwen3.5-Flash for coding: it scores 41.1 on the Vibe Coding Index against 19.1 for Gemini 2.5 Pro, though on 2 benchmarks against 3.

Pick Gemini 2.5 Pro 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.

Shared results
43
Gemini 2.5 Pro only
47
Qwen3.5-Flash only
12
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 Pro 19.1 from 3 benchmarks, Qwen3.5-Flash 41.1 from 2 benchmarks.
Widest category
General, 10.9 points apart on average over 21 shared benchmarks.
Widest single gap
LMArena Text: creative writing: Gemini 2.5 Pro 1454 against Qwen3.5-Flash 1343, 18.4 points apart on a 0 to 100 scale.
Output price
Gemini 2.5 Pro $10.00 against Qwen3.5-Flash $0.26 per million output tokens, 38.5x apart.
Context window
Gemini 2.5 Pro 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 ProBarsQwen3.5-FlashTies
Coding23
Intelligence10
Reasoning40
Math40
Knowledge71
General192
All shared boards376
CodingLike-for-likeSix of these boards feed the Vibe Coding Index23
Coding benchmarks for Gemini 2.5 Pro and Qwen3.5-Flash
BenchmarkGemini 2.5 ProQwen3.5-FlashLeader
SWE-bench Verified53.6%Not measuredOnly Gemini 2.5 Pro measured
LMArena WebDev12261244Qwen3.5-Flash
AA Coding Index33.3Not measuredOnly Gemini 2.5 Pro measured
LiveCodeBench (Vals AI)Not measured83.3%Only Qwen3.5-Flash measured
SWE-bench Verified (Vals AI)54.4%64.4%Qwen3.5-Flash
Vibe Code Bench (Vals AI)0.4%Not measuredOnly Gemini 2.5 Pro measured
LiveCodeBench (Artificial Analysis run)80.1%Not measuredOnly Gemini 2.5 Pro measured
SciCode46.3%Not measuredOnly Gemini 2.5 Pro measured
Terminal-Bench Hard (Artificial Analysis run)26.5%Not measuredOnly Gemini 2.5 Pro measured
Terminal-Bench32.6%Not measuredOnly Gemini 2.5 Pro measured
GSO-Bench3.9%Not measuredOnly Gemini 2.5 Pro measured
WeirdML54.0%Not measuredOnly Gemini 2.5 Pro measured
ALE-BenchNot measured265.9Only Qwen3.5-Flash measured
LMArena Text: coding14521412Gemini 2.5 Pro
LMArena Text: software and IT14591416Gemini 2.5 Pro
LMArena WebDev: ReactNot measured1229Only Qwen3.5-Flash measured
LMArena WebDev: HTML12351291Qwen3.5-Flash
LMArena WebDev: from an image1285Not measuredOnly Gemini 2.5 Pro measured
Neither model has a result on the other 21 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index10
Intelligence benchmarks for Gemini 2.5 Pro and Qwen3.5-Flash
BenchmarkGemini 2.5 ProQwen3.5-FlashLeader
AA Intelligence Index16.1Not measuredOnly Gemini 2.5 Pro measured
Epoch Capabilities Index145.1143.5Gemini 2.5 Pro
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index6 boards, none shared
Agentic work benchmarks for Gemini 2.5 Pro and Qwen3.5-Flash
BenchmarkGemini 2.5 ProQwen3.5-FlashLeader
AA Agentic Index1.6Not measuredOnly Gemini 2.5 Pro measured
τ²-Bench Telecom54.1%Not measuredOnly Gemini 2.5 Pro measured
GDPval23.3%Not measuredOnly Gemini 2.5 Pro measured
DeepResearch Bench41.5%Not measuredOnly Gemini 2.5 Pro measured
Vending-Bench 2$574Not measuredOnly Gemini 2.5 Pro measured
BrowseComp-Plus29.5%Not measuredOnly Gemini 2.5 Pro measured
Neither model has a result on the other 35 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index40
Reasoning benchmarks for Gemini 2.5 Pro and Qwen3.5-Flash
BenchmarkGemini 2.5 ProQwen3.5-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)84.4%Not measuredOnly Gemini 2.5 Pro measured
Humanity's Last Exam (Artificial Analysis run)22.5%Not measuredOnly Gemini 2.5 Pro measured
GPQA Diamond (Epoch AI run)85.3%82.3%Gemini 2.5 Pro
ARC-AGI41.0%Not measuredOnly Gemini 2.5 Pro measured
ARC-AGI-24.9%Not measuredOnly Gemini 2.5 Pro measured
Chess puzzlesNot measured14.0%Only Qwen3.5-Flash measured
Mystery game puzzlesNot measured20.0%Only Qwen3.5-Flash measured
LMArena Text: hard prompts14551403Gemini 2.5 Pro
LMArena Text: expert14521407Gemini 2.5 Pro
LMArena Text: hard prompts in English14531409Gemini 2.5 Pro
LMArena Vision: diagrams1274Not measuredOnly Gemini 2.5 Pro measured
LMArena Vision: homework1281Not measuredOnly Gemini 2.5 Pro measured
Kagi LLM Benchmark70.3%Not measuredOnly Gemini 2.5 Pro measured
Neither model has a result on the other 7 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index40
Math benchmarks for Gemini 2.5 Pro and Qwen3.5-Flash
BenchmarkGemini 2.5 ProQwen3.5-FlashLeader
AIMENot measured92.5%Only Qwen3.5-Flash measured
AA Math Index87.7Not measuredOnly Gemini 2.5 Pro measured
AIME 2025 (Artificial Analysis run)87.7%Not measuredOnly Gemini 2.5 Pro measured
OTIS Mock AIME84.7%84.4%Gemini 2.5 Pro
FrontierMath, tiers 1 to 324.6%18.2%Gemini 2.5 Pro
FrontierMath, tier 40.0%Not measuredOnly Gemini 2.5 Pro measured
LMArena Text: math14501407Gemini 2.5 Pro
LMArena Text: mathematical work14541413Gemini 2.5 Pro
Neither model has a result on the other 5 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index71
Knowledge benchmarks for Gemini 2.5 Pro and Qwen3.5-Flash
BenchmarkGemini 2.5 ProQwen3.5-FlashLeader
MMLU ProNot measured84.1%Only Qwen3.5-Flash measured
LegalBench (Vals AI)Not measured84.3%Only Qwen3.5-Flash measured
CaseLaw (Vals AI)63.9%56.0%Gemini 2.5 Pro
CorpFin (Vals AI)60.8%63.6%Qwen3.5-Flash
TaxEval (Vals AI)Not measured72.2%Only Qwen3.5-Flash measured
MortgageTax (Vals AI)68.9%67.4%Gemini 2.5 Pro
MedCode (Vals AI)50.6%33.0%Gemini 2.5 Pro
MMLU Pro (Artificial Analysis run)86.2%Not measuredOnly Gemini 2.5 Pro measured
SimpleQA VerifiedNot measured20.3%Only Qwen3.5-Flash measured
LMArena Text: science14801415Gemini 2.5 Pro
LMArena Text: medicine and healthcare14761407Gemini 2.5 Pro
LMArena Text: legal and government14801398Gemini 2.5 Pro
LMArena Text: business and finance14391394Gemini 2.5 Pro
FACTS Benchmark Suite61.5%Not measuredOnly Gemini 2.5 Pro measured
Neither model has a result on the other 4 boards here
Web designDirectional onlyPublic boards, shown as published, kept out of the index6 boards, none shared
Web design benchmarks for Gemini 2.5 Pro and Qwen3.5-Flash
BenchmarkGemini 2.5 ProQwen3.5-FlashLeader
Design Arena: websites1167Not measuredOnly Gemini 2.5 Pro measured
Design Arena: UI components1137Not measuredOnly Gemini 2.5 Pro measured
Design Arena: game dev1111Not measuredOnly Gemini 2.5 Pro measured
Design Arena: data viz1222Not measuredOnly Gemini 2.5 Pro measured
Design Arena: 3D1080Not measuredOnly Gemini 2.5 Pro measured
Design Arena: all code categories1152Not measuredOnly Gemini 2.5 Pro measured
Neither model has a result on the other 3 boards here
GeneralLike-for-likePublic boards, shown as published, kept out of the index192
General benchmarks for Gemini 2.5 Pro and Qwen3.5-Flash
BenchmarkGemini 2.5 ProQwen3.5-FlashLeader
SAGE (Vals AI)41.9%42.5%Qwen3.5-Flash
MedScribe (Vals AI)73.5%70.6%Gemini 2.5 Pro
IFBench48.7%Not measuredOnly Gemini 2.5 Pro measured
Long context reasoning (AA-LCR)69.0%Not measuredOnly Gemini 2.5 Pro measured
DTBench82.4%82.9%Qwen3.5-Flash
LMCA34.8%29.1%Gemini 2.5 Pro
Creative writing (Lech Mazur)83.8%Not measuredOnly Gemini 2.5 Pro measured
LMArena Text14581397Gemini 2.5 Pro
LMArena Text: instruction following14371374Gemini 2.5 Pro
LMArena Text: creative writing14541343Gemini 2.5 Pro
LMArena Vision1263Not measuredOnly Gemini 2.5 Pro measured
LMArena Text: English14581404Gemini 2.5 Pro
LMArena Text: non-English14521385Gemini 2.5 Pro
LMArena Text: Chinese15071445Gemini 2.5 Pro
LMArena Text: German14871390Gemini 2.5 Pro
LMArena Text: Japanese14611369Gemini 2.5 Pro
LMArena Text: Korean14341344Gemini 2.5 Pro
LMArena Text: French14731413Gemini 2.5 Pro
LMArena Text: Spanish14741400Gemini 2.5 Pro
LMArena Text: Russian14611380Gemini 2.5 Pro
LMArena Text: Polish14791376Gemini 2.5 Pro
LMArena Text: multi-turn14531393Gemini 2.5 Pro
LMArena Text: longer queries14491392Gemini 2.5 Pro
LMArena Text: writing and language14541369Gemini 2.5 Pro
LMArena Text: entertainment and media14411347Gemini 2.5 Pro
LMArena Vision: English1261Not measuredOnly Gemini 2.5 Pro measured
LMArena Vision: Chinese1300Not measuredOnly Gemini 2.5 Pro measured
LMArena Vision: reading text1270Not measuredOnly Gemini 2.5 Pro measured
LMArena Vision: humor1262Not measuredOnly Gemini 2.5 Pro measured
LMArena Vision: captioning1304Not measuredOnly Gemini 2.5 Pro measured
LMArena Vision: recognizing things1283Not measuredOnly Gemini 2.5 Pro measured
LMArena Vision: creative writing1265Not measuredOnly Gemini 2.5 Pro measured
LMArena Document1421Not measuredOnly Gemini 2.5 Pro measured
Neither model has a result on the other 13 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for Gemini 2.5 Pro and Qwen3.5-Flash
BenchmarkGemini 2.5 ProQwen3.5-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 Pro$0.0063Fits 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 Pro$0.092Fits 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 Pro$0.350Fits 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 Pro and Qwen3.5-Flash
SpecificationGoogle Gemini 2.5 ProQwen3.5-Flash
MakerGoogleQwen
WeightsNo public weights listedNo public weights listed
ReleasedJune 17, 2025February 25, 2026
Context window1.05M1M
Input $/Mtok$1.25$0.065
Output $/Mtok$10.00$0.26
Coding index19.141.1
Independent measurements behind it32
Cost per solved task$0.64$0.40
SourceOpenRouter listingOpenRouter listing

Questions

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

Pick Qwen3.5-Flash for coding: it scores 41.1 on the Vibe Coding Index against 19.1 for Gemini 2.5 Pro, though on 2 benchmarks against 3. Pick Gemini 2.5 Pro 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 Pro or Qwen3.5-Flash?

Gemini 2.5 Pro costs $1.25 per million input tokens and $10.00 per million output tokens; Qwen3.5-Flash costs $0.065 and $0.26. Per solved SWE-bench Verified task, Gemini 2.5 Pro costs $0.64 and Qwen3.5-Flash $0.40.

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

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

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

43 benchmarks have a result for both models as of October 22, 2026. Gemini 2.5 Pro's coding index rests on 3 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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<iframe src="https://llmbenchmark.ai/embed/compare/gemini-2-5-pro-vs-qwen3-5-flash-02-23" title="Gemini 2.5 Pro vs Qwen3.5-Flash, LLMBenchmark.ai" width="100%" height="360" style="border:0;max-width:100%" loading="lazy"></iframe>
<p style="font:13px/1.4 sans-serif;margin:6px 0 0">Source: <a href="https://llmbenchmark.ai/compare/gemini-2-5-pro-vs-qwen3-5-flash-02-23">LLMBenchmark.ai, Gemini 2.5 Pro vs Qwen3.5-Flash</a></p>