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Gemini 2.5 Pro vs Qwen3 Coder 480B A35B

Updated October 21, 2026. 50 benchmarks have a result for both. Coding is ranked on the Vibe Coding Index; every other board is shown as published.

Gemini 2.5 ProGoogle
Coding
37.0
Overall
16.1
Output $/M
$10.00
46
Qwen3 Coder 480B A35BQwen
Coding
50.0
Overall
11.9
Output $/M
$1.00
4
vs boards won of 50 shared

Decision reading

Pick Qwen3 Coder 480B A35B for coding: it scores 50.0 on the Vibe Coding Index against 37.0 for Gemini 2.5 Pro.

Pick Gemini 2.5 Pro when the context window is larger, 1.05M against 262K tokens, or when what matters is LiveCodeBench (Artificial Analysis run) or Terminal-Bench Hard (Artificial Analysis run), where it leads.

Shared results
50
Gemini 2.5 Pro only
37
Qwen3 Coder 480B A35B only
2
Like-for-like categories
8 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 2.5 Pro 37.0 from 2 benchmarks, Qwen3 Coder 480B A35B 50.0 from 2 benchmarks.
Widest category
Math, 31.4 points apart on average over 4 shared benchmarks.
Widest single gap
AA Math Index: Gemini 2.5 Pro 87.7 against Qwen3 Coder 480B A35B 39.3, 48.4 points apart on a 0 to 100 scale.
Output price
Gemini 2.5 Pro $10.00 against Qwen3 Coder 480B A35B $1.00 per million output tokens, 10.0x apart.
Context window
Gemini 2.5 Pro takes 1.05M tokens, Qwen3 Coder 480B A35B 262K.

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 Coder 480B A35BTies
Coding64
Intelligence10
Agentic work10
Reasoning50
Math40
Knowledge50
Web design50
General190
All shared boards464
CodingLike-for-likeFour of these boards feed the Vibe Coding Index64
Coding benchmarks for Gemini 2.5 Pro and Qwen3 Coder 480B A35B
BenchmarkGemini 2.5 ProQwen3 Coder 480B A35BLeader
SWE-bench Verified53.6%69.6%Qwen3 Coder 480B A35B
LMArena WebDev12261275Qwen3 Coder 480B A35B
AA Coding Index33.3Not measuredOnly Gemini 2.5 Pro measured
SWE-bench Verified (Vals AI)54.4%Not measuredOnly Gemini 2.5 Pro measured
Vibe Code Bench (Vals AI)0.4%Not measuredOnly Gemini 2.5 Pro measured
LiveCodeBench (Artificial Analysis run)80.1%58.5%Gemini 2.5 Pro
SciCode46.3%Not measuredOnly Gemini 2.5 Pro measured
Terminal-Bench Hard (Artificial Analysis run)26.5%18.9%Gemini 2.5 Pro
Terminal-Bench32.6%27.2%Gemini 2.5 Pro
GSO-Bench3.9%4.9%Qwen3 Coder 480B A35B
WeirdML54.0%41.2%Gemini 2.5 Pro
ALE-BenchNot measured461.4Only Qwen3 Coder 480B A35B measured
LMArena Text: coding14521412Gemini 2.5 Pro
LMArena Text: software and IT14591393Gemini 2.5 Pro
LMArena WebDev: ReactNot measured1257Only Qwen3 Coder 480B A35B measured
LMArena WebDev: HTML12351287Qwen3 Coder 480B A35B
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 Coder 480B A35B
BenchmarkGemini 2.5 ProQwen3 Coder 480B A35BLeader
AA Intelligence Index16.111.9Gemini 2.5 Pro
Epoch Capabilities Index145.1Not measuredOnly Gemini 2.5 Pro measured
Agentic workLike-for-likePublic boards, shown as published, kept out of the index10
Agentic work benchmarks for Gemini 2.5 Pro and Qwen3 Coder 480B A35B
BenchmarkGemini 2.5 ProQwen3 Coder 480B A35BLeader
AA Agentic Index1.6Not measuredOnly Gemini 2.5 Pro measured
τ²-Bench Telecom54.1%43.6%Gemini 2.5 Pro
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
Neither model has a result on the other 34 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index50
Reasoning benchmarks for Gemini 2.5 Pro and Qwen3 Coder 480B A35B
BenchmarkGemini 2.5 ProQwen3 Coder 480B A35BLeader
GPQA Diamond (Artificial Analysis run)84.4%61.8%Gemini 2.5 Pro
Humanity's Last Exam (Artificial Analysis run)22.5%4.5%Gemini 2.5 Pro
GPQA Diamond (Epoch AI run)85.3%Not measuredOnly Gemini 2.5 Pro measured
ARC-AGI41.0%Not measuredOnly Gemini 2.5 Pro measured
ARC-AGI-24.9%Not measuredOnly Gemini 2.5 Pro measured
LMArena Text: hard prompts14551372Gemini 2.5 Pro
LMArena Text: expert14521338Gemini 2.5 Pro
LMArena Text: hard prompts in English14531380Gemini 2.5 Pro
LMArena Vision: diagrams1274Not measuredOnly Gemini 2.5 Pro measured
LMArena Vision: homework1281Not measuredOnly Gemini 2.5 Pro measured
Neither model has a result on the other 11 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index40
Math benchmarks for Gemini 2.5 Pro and Qwen3 Coder 480B A35B
BenchmarkGemini 2.5 ProQwen3 Coder 480B A35BLeader
AA Math Index87.739.3Gemini 2.5 Pro
AIME 2025 (Artificial Analysis run)87.7%39.3%Gemini 2.5 Pro
OTIS Mock AIME84.7%Not measuredOnly Gemini 2.5 Pro measured
FrontierMath, tiers 1 to 324.6%Not measuredOnly Gemini 2.5 Pro measured
FrontierMath, tier 40.0%Not measuredOnly Gemini 2.5 Pro measured
LMArena Text: math14501365Gemini 2.5 Pro
LMArena Text: mathematical work14541367Gemini 2.5 Pro
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 Pro and Qwen3 Coder 480B A35B
BenchmarkGemini 2.5 ProQwen3 Coder 480B A35BLeader
CaseLaw (Vals AI)63.9%Not measuredOnly Gemini 2.5 Pro measured
CorpFin (Vals AI)60.8%Not measuredOnly Gemini 2.5 Pro measured
MortgageTax (Vals AI)68.9%Not measuredOnly Gemini 2.5 Pro measured
MedCode (Vals AI)50.6%Not measuredOnly Gemini 2.5 Pro measured
MMLU Pro (Artificial Analysis run)86.2%78.8%Gemini 2.5 Pro
LMArena Text: science14801347Gemini 2.5 Pro
LMArena Text: medicine and healthcare14761347Gemini 2.5 Pro
LMArena Text: legal and government14801358Gemini 2.5 Pro
LMArena Text: business and finance14391343Gemini 2.5 Pro
Neither model has a result on the other 8 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index50
Web design benchmarks for Gemini 2.5 Pro and Qwen3 Coder 480B A35B
BenchmarkGemini 2.5 ProQwen3 Coder 480B A35BLeader
Design Arena: websites11671159Gemini 2.5 Pro
Design Arena: UI components11391112Gemini 2.5 Pro
Design Arena: game dev11121099Gemini 2.5 Pro
Design Arena: data viz12221084Gemini 2.5 Pro
Design Arena: 3D1080Not measuredOnly Gemini 2.5 Pro measured
Design Arena: all code categories11521143Gemini 2.5 Pro
Neither model has a result on the other 3 boards here
GeneralLike-for-likePublic boards, shown as published, kept out of the index190
General benchmarks for Gemini 2.5 Pro and Qwen3 Coder 480B A35B
BenchmarkGemini 2.5 ProQwen3 Coder 480B A35BLeader
SAGE (Vals AI)41.9%Not measuredOnly Gemini 2.5 Pro measured
MedScribe (Vals AI)73.5%Not measuredOnly Gemini 2.5 Pro measured
IFBench48.7%40.5%Gemini 2.5 Pro
Long context reasoning (AA-LCR)69.0%45.7%Gemini 2.5 Pro
DTBench82.4%Not measuredOnly Gemini 2.5 Pro measured
LMCA34.8%Not measuredOnly Gemini 2.5 Pro measured
Creative writing (Lech Mazur)83.8%Not measuredOnly Gemini 2.5 Pro measured
LMArena Text14581357Gemini 2.5 Pro
LMArena Text: instruction following14371355Gemini 2.5 Pro
LMArena Text: creative writing14541333Gemini 2.5 Pro
LMArena Vision1263Not measuredOnly Gemini 2.5 Pro measured
LMArena Text: English14581359Gemini 2.5 Pro
LMArena Text: non-English14521346Gemini 2.5 Pro
LMArena Text: Chinese15071357Gemini 2.5 Pro
LMArena Text: German14871325Gemini 2.5 Pro
LMArena Text: Japanese14611311Gemini 2.5 Pro
LMArena Text: Korean14341305Gemini 2.5 Pro
LMArena Text: French14731398Gemini 2.5 Pro
LMArena Text: Spanish14741360Gemini 2.5 Pro
LMArena Text: Russian14611366Gemini 2.5 Pro
LMArena Text: Polish14791344Gemini 2.5 Pro
LMArena Text: multi-turn14531366Gemini 2.5 Pro
LMArena Text: longer queries14491378Gemini 2.5 Pro
LMArena Text: writing and language14541340Gemini 2.5 Pro
LMArena Text: entertainment and media14411317Gemini 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 Coder 480B A35B
BenchmarkGemini 2.5 ProQwen3 Coder 480B A35BLeader
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 Coder 480B A35B$0.0008Fits in one request

Qwen3 Coder 480B A35B costs less

Repository review

50K input + 3K output tokens

Gemini 2.5 Pro$0.092Fits in one request
Qwen3 Coder 480B A35B$0.018Fits in one request

Qwen3 Coder 480B A35B costs less

Agent loop

200K input + 10K output tokens

Gemini 2.5 Pro$0.350Fits in one request
Qwen3 Coder 480B A35B$0.070Fits in one request

Qwen3 Coder 480B A35B 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 Coder 480B A35B
SpecificationGoogle Gemini 2.5 ProQwen3 Coder 480B A35B
MakerGoogleQwen
WeightsNo public weights listedOpen weights
ReleasedJune 17, 2025July 23, 2025
Context window1.05M262K
Input $/Mtok$1.25$0.30
Output $/Mtok$10.00$1.00
Coding index37.050.0
Independent measurements behind it22
Cost per solved task$0.64Not computable
SourceOpenRouter listingOpenRouter listing

Questions

Is Gemini 2.5 Pro better than Qwen3 Coder 480B A35B for coding?

Pick Qwen3 Coder 480B A35B for coding: it scores 50.0 on the Vibe Coding Index against 37.0 for Gemini 2.5 Pro. Pick Gemini 2.5 Pro when the context window is larger, 1.05M against 262K tokens, or when what matters is LiveCodeBench (Artificial Analysis run) or Terminal-Bench Hard (Artificial Analysis run), where it leads.

Which is cheaper, Gemini 2.5 Pro or Qwen3 Coder 480B A35B?

Gemini 2.5 Pro costs $1.25 per million input tokens and $10.00 per million output tokens; Qwen3 Coder 480B A35B costs $0.30 and $1.00. Cost per solved task is known for Gemini 2.5 Pro only.

Which has the bigger context window, Gemini 2.5 Pro or Qwen3 Coder 480B A35B?

Gemini 2.5 Pro, with 1.05M tokens against 262K.

How many benchmarks is the Gemini 2.5 Pro vs Qwen3 Coder 480B A35B comparison based on?

50 benchmarks have a result for both models as of October 21, 2026. Gemini 2.5 Pro's coding index rests on 2 independent benchmarks and Qwen3 Coder 480B A35B'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-coder" title="Gemini 2.5 Pro vs Qwen3 Coder 480B A35B, 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-coder">LLMBenchmark.ai, Gemini 2.5 Pro vs Qwen3 Coder 480B A35B</a></p>