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Gemini 2.5 Pro vs Qwen3.6 Plus

Qwen3.6 Plus leads Gemini 2.5 Pro on coding, 44.1 to 19.1 on the Vibe Coding Index, and Qwen3.6 Plus costs 5.1x less per output token ($1.95 vs $10.00 per million). Updated October 21, 2026; 60 benchmarks have a result for both.

Replace Gemini 2.5 Pro Replace Qwen3.6 Plus
Gemini 2.5 ProGoogle
Coding
19.1
Overall
41.8
Output $/M
$10.00
29
Qwen3.6 PlusQwen
Coding
44.1
Overall
56.2
Output $/M
$1.95
31
vs boards won of 60 shared

Gemini 2.5 Pro or Qwen3.6 Plus: which to pick

Pick Qwen3.6 Plus for coding: it scores 44.1 on the Vibe Coding Index against 19.1 for Gemini 2.5 Pro.

Pick Gemini 2.5 Pro for a lower cost per solved task ($0.64 against $1.19) and a larger context window (1.05M against 1M tokens).

Model AGemini 2.5 ProGoogle19.1/1003 independent benchmarks$0.64 per solved taskModel BQwen3.6 PlusQwen44.1/1003 independent benchmarks$1.19 per solved task
Shared results
60
Gemini 2.5 Pro only
30
Qwen3.6 Plus only
23
Like-for-like categories
8 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, Qwen3.6 Plus 44.1 from 3 benchmarks.
Widest category
Agentic work, 36.0 points apart on average over 2 shared benchmarks.
Widest single gap
τ²-Bench Telecom: Gemini 2.5 Pro 54.1% against Qwen3.6 Plus 97.7%, 43.6 points apart on a 0 to 100 scale.
Output price
Gemini 2.5 Pro $10.00 against Qwen3.6 Plus $1.95 per million output tokens, 5.1x apart.
Context window
Gemini 2.5 Pro takes 1.05M tokens, Qwen3.6 Plus 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 ProBarsQwen3.6 PlusTies
Coding09
Intelligence02
Agentic work02
Reasoning15
Math22
Knowledge71
Web design06
General194
All shared boards2931
CodingLike-for-likeSix of these boards feed the Vibe Coding Index09
Coding benchmarks for Gemini 2.5 Pro and Qwen3.6 Plus
BenchmarkGemini 2.5 ProQwen3.6 PlusLeader
SWE-bench Verified53.6%Not measuredOnly Gemini 2.5 Pro measured
LMArena WebDev12261461Qwen3.6 Plus
AA Coding Index33.354.5Qwen3.6 Plus
LiveCodeBench (Vals AI)Not measured86.0%Only Qwen3.6 Plus measured
SWE-bench Verified (Vals AI)54.4%73.4%Qwen3.6 Plus
Vibe Code Bench (Vals AI)0.4%25.6%Qwen3.6 Plus
Code migration (Vals AI)Not measured11.1%Only Qwen3.6 Plus measured
ProgramBench (Vals AI)Not measured0.0%Only Qwen3.6 Plus measured
Terminal-Bench 2.1 (Vals AI)Not measured53.2%Only Qwen3.6 Plus 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%43.9%Qwen3.6 Plus
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 measured670.1Only Qwen3.6 Plus measured
LMArena Text: coding14521467Qwen3.6 Plus
LMArena Text: software and IT14591462Qwen3.6 Plus
LMArena WebDev: ReactNot measured1454Only Qwen3.6 Plus measured
LMArena WebDev: HTML12351463Qwen3.6 Plus
LMArena WebDev: from an image12851472Qwen3.6 Plus
Neither model has a result on the other 18 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index02
Intelligence benchmarks for Gemini 2.5 Pro and Qwen3.6 Plus
BenchmarkGemini 2.5 ProQwen3.6 PlusLeader
AA Intelligence Index16.127.0Qwen3.6 Plus
Epoch Capabilities Index145.1147.3Qwen3.6 Plus
Agentic workLike-for-likePublic boards, shown as published, kept out of the index02
Agentic work benchmarks for Gemini 2.5 Pro and Qwen3.6 Plus
BenchmarkGemini 2.5 ProQwen3.6 PlusLeader
AA Agentic Index1.6Not measuredOnly Gemini 2.5 Pro measured
Finance Agent (Vals AI)Not measured40.9%Only Qwen3.6 Plus measured
Tax Agent Bench (Vals AI)Not measured7.7%Only Qwen3.6 Plus measured
Legal Research Bench (Vals AI)Not measured14.9%Only Qwen3.6 Plus measured
Excel Modeling Benchmark (Vals AI)Not measured32.9%Only Qwen3.6 Plus measured
τ²-Bench Telecom54.1%97.7%Qwen3.6 Plus
GDPval23.3%Not measuredOnly Gemini 2.5 Pro measured
DeepResearch Bench41.5%Not measuredOnly Gemini 2.5 Pro measured
Vending-Bench 2$574$5,115Qwen3.6 Plus
BrowseComp-Plus29.5%Not measuredOnly Gemini 2.5 Pro measured
Neither model has a result on the other 31 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index15
Reasoning benchmarks for Gemini 2.5 Pro and Qwen3.6 Plus
BenchmarkGemini 2.5 ProQwen3.6 PlusLeader
GPQA DiamondNot measured87.4%Only Qwen3.6 Plus measured
MMMU Pro (Vals AI)Not measured84.2%Only Qwen3.6 Plus measured
GPQA Diamond (Artificial Analysis run)84.4%88.2%Qwen3.6 Plus
Humanity's Last Exam (Artificial Analysis run)22.5%27.8%Qwen3.6 Plus
GPQA Diamond (Epoch AI run)85.3%88.4%Qwen3.6 Plus
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 Qwen3.6 Plus measured
Mystery game puzzlesNot measured12.0%Only Qwen3.6 Plus measured
LMArena Text: hard prompts14551448Gemini 2.5 Pro
LMArena Text: expert14521454Qwen3.6 Plus
LMArena Text: hard prompts in English14531455Qwen3.6 Plus
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 index22
Math benchmarks for Gemini 2.5 Pro and Qwen3.6 Plus
BenchmarkGemini 2.5 ProQwen3.6 PlusLeader
AIMENot measured94.6%Only Qwen3.6 Plus 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%93.3%Qwen3.6 Plus
FrontierMath, tiers 1 to 324.6%38.2%Qwen3.6 Plus
FrontierMath, tier 40.0%Not measuredOnly Gemini 2.5 Pro measured
LMArena Text: math14501449Gemini 2.5 Pro
LMArena Text: mathematical work14541448Gemini 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 Qwen3.6 Plus
BenchmarkGemini 2.5 ProQwen3.6 PlusLeader
MMLU ProNot measured87.7%Only Qwen3.6 Plus measured
LegalBench (Vals AI)Not measured84.2%Only Qwen3.6 Plus measured
CaseLaw (Vals AI)63.9%51.5%Gemini 2.5 Pro
CorpFin (Vals AI)60.8%61.9%Qwen3.6 Plus
TaxEval (Vals AI)Not measured74.7%Only Qwen3.6 Plus measured
MortgageTax (Vals AI)68.9%68.0%Gemini 2.5 Pro
MedCode (Vals AI)50.6%36.9%Gemini 2.5 Pro
MMLU Pro (Artificial Analysis run)86.2%Not measuredOnly Gemini 2.5 Pro measured
SimpleQA VerifiedNot measured44.1%Only Qwen3.6 Plus measured
LMArena Text: science14801439Gemini 2.5 Pro
LMArena Text: medicine and healthcare14761442Gemini 2.5 Pro
LMArena Text: legal and government14801437Gemini 2.5 Pro
LMArena Text: business and finance14391430Gemini 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 designLike-for-likePublic boards, shown as published, kept out of the index06
Web design benchmarks for Gemini 2.5 Pro and Qwen3.6 Plus
BenchmarkGemini 2.5 ProQwen3.6 PlusLeader
Design Arena: websites11671243Qwen3.6 Plus
Design Arena: UI components11401233Qwen3.6 Plus
Design Arena: game dev11111211Qwen3.6 Plus
Design Arena: data viz12211228Qwen3.6 Plus
Design Arena: 3D10811202Qwen3.6 Plus
Design Arena: all code categories11521236Qwen3.6 Plus
Design Arena: SVGNot measured1161Only Qwen3.6 Plus measured
Design Arena: ASCII artNot measured1113Only Qwen3.6 Plus measured
Neither model has a result on the other 1 board here
GeneralLike-for-likePublic boards, shown as published, kept out of the index194
General benchmarks for Gemini 2.5 Pro and Qwen3.6 Plus
BenchmarkGemini 2.5 ProQwen3.6 PlusLeader
SAGE (Vals AI)41.9%44.9%Qwen3.6 Plus
MedScribe (Vals AI)73.5%77.0%Qwen3.6 Plus
Vals Multimodal IndexNot measured51.5%Only Qwen3.6 Plus measured
IFBench48.7%75.2%Qwen3.6 Plus
Long context reasoning (AA-LCR)69.0%78.3%Qwen3.6 Plus
DTBench82.4%81.9%Gemini 2.5 Pro
LMCA34.8%33.1%Gemini 2.5 Pro
Creative writing (Lech Mazur)83.8%Not measuredOnly Gemini 2.5 Pro measured
CL-benchNot measured20.3%Only Qwen3.6 Plus measured
LMArena Text14581436Gemini 2.5 Pro
LMArena Text: instruction following14371424Gemini 2.5 Pro
LMArena Text: creative writing14541404Gemini 2.5 Pro
LMArena Vision1263Not measuredOnly Gemini 2.5 Pro measured
LMArena Text: English14581445Gemini 2.5 Pro
LMArena Text: non-English14521424Gemini 2.5 Pro
LMArena Text: Chinese15071477Gemini 2.5 Pro
LMArena Text: German14871451Gemini 2.5 Pro
LMArena Text: Japanese14611390Gemini 2.5 Pro
LMArena Text: Korean14341379Gemini 2.5 Pro
LMArena Text: French14731455Gemini 2.5 Pro
LMArena Text: Spanish14741432Gemini 2.5 Pro
LMArena Text: Russian14611434Gemini 2.5 Pro
LMArena Text: Polish14791433Gemini 2.5 Pro
LMArena Text: multi-turn14531438Gemini 2.5 Pro
LMArena Text: longer queries14491439Gemini 2.5 Pro
LMArena Text: writing and language14541418Gemini 2.5 Pro
LMArena Text: entertainment and media14411402Gemini 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 11 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 Qwen3.6 Plus
BenchmarkGemini 2.5 ProQwen3.6 PlusLeader
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
Qwen3.6 Plus$0.0013Fits in one request

Qwen3.6 Plus costs less

Repository review

50K input + 3K output tokens

Gemini 2.5 Pro$0.092Fits in one request
Qwen3.6 Plus$0.022Fits in one request

Qwen3.6 Plus costs less

Agent loop

200K input + 10K output tokens

Gemini 2.5 Pro$0.350Fits in one request
Qwen3.6 Plus$0.085Fits in one request

Qwen3.6 Plus 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 Qwen3.6 Plus
SpecificationGoogle Gemini 2.5 ProQwen3.6 Plus
MakerGoogleQwen
WeightsNo public weights listedNo public weights listed
ReleasedJune 17, 2025April 2, 2026
Context window1.05M1M
Input $/Mtok$1.25$0.325
Output $/Mtok$10.00$1.95
Coding index19.144.1
Independent measurements behind it33
Cost per solved task$0.64$1.19
SourceOpenRouter listingOpenRouter listing

Questions

Is Gemini 2.5 Pro better than Qwen3.6 Plus for coding?

Pick Qwen3.6 Plus for coding: it scores 44.1 on the Vibe Coding Index against 19.1 for Gemini 2.5 Pro. Pick Gemini 2.5 Pro for a lower cost per solved task ($0.64 against $1.19) and a larger context window (1.05M against 1M tokens).

Which is cheaper, Gemini 2.5 Pro or Qwen3.6 Plus?

Gemini 2.5 Pro costs $1.25 per million input tokens and $10.00 per million output tokens; Qwen3.6 Plus costs $0.325 and $1.95. Per solved SWE-bench Verified task, Gemini 2.5 Pro costs $0.64 and Qwen3.6 Plus $1.19.

Which has the bigger context window, Gemini 2.5 Pro or Qwen3.6 Plus?

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

How many benchmarks is the Gemini 2.5 Pro vs Qwen3.6 Plus comparison based on?

60 benchmarks have a result for both models as of October 21, 2026. Gemini 2.5 Pro's coding index rests on 3 independent benchmarks and Qwen3.6 Plus's on 3. Where only one model has a result, the page says so instead of naming a winner.

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<p style="font:13px/1.4 sans-serif;margin:6px 0 0">Source: <a href="https://llmbenchmark.ai/compare/gemini-2-5-pro-vs-qwen3-6-plus">LLMBenchmark.ai, Gemini 2.5 Pro vs Qwen3.6 Plus</a></p>