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GPT-5.1 vs Qwen3 Coder 480B A35B

GPT-5.1 leads Qwen3 Coder 480B A35B on the Artificial Analysis Intelligence Index, 24.7 to 11.9, and Qwen3 Coder 480B A35B costs 6.7x less per output token ($1.50 vs $10.00 per million). Updated October 22, 2026; 51 benchmarks have a result for both.

GPT-5.1OpenAI
Coding
40.4
Overall
55.0
Output $/M
$10.00
50
Qwen3 Coder 480B A35BQwen
Coding
No data
Overall
No data
Output $/M
$1.50
1
vs boards won of 51 shared

GPT-5.1 or Qwen3 Coder 480B A35B: which to pick

Only GPT-5.1 has a coding score, 40.4 on the Vibe Coding Index; Qwen3 Coder 480B A35B has none, so the two cannot be ranked on coding.

Pick Qwen3 Coder 480B A35B for output tokens 6.7x cheaper ($1.50 vs $10.00 per million) and work measured by SWE-bench Verified, where it leads.

Shared results
51
GPT-5.1 only
50
Qwen3 Coder 480B A35B only
2
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
GPT-5.1 40.4 from 3 benchmarks, Qwen3 Coder 480B A35B not benchmarked.
Widest category
Agentic work, 38.3 points apart on average over 1 shared benchmark.
Widest single gap
AA Math Index: GPT-5.1 94.0 against Qwen3 Coder 480B A35B 39.3, 54.7 points apart on a 0 to 100 scale.
Output price
GPT-5.1 $10.00 against Qwen3 Coder 480B A35B $1.50 per million output tokens, 6.7x apart.
Context window
GPT-5.1 takes 400K 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
CategoryGPT-5.1BarsQwen3 Coder 480B A35BTies
Coding101
Intelligence10
Agentic work10
Reasoning50
Math40
Knowledge50
Web design50
General190
All shared boards501
CodingLike-for-likeSix of these boards feed the Vibe Coding Index101
Coding benchmarks for GPT-5.1 and Qwen3 Coder 480B A35B
BenchmarkGPT-5.1Qwen3 Coder 480B A35BLeader
SWE-bench Verified66.0%69.6%Qwen3 Coder 480B A35B
LMArena WebDev13961275GPT-5.1
AA Coding Index49.4Not measuredOnly GPT-5.1 measured
LiveCodeBench (Vals AI)86.5%Not measuredOnly GPT-5.1 measured
SWE-bench Verified (Vals AI)69.8%Not measuredOnly GPT-5.1 measured
Vibe Code Bench (Vals AI)24.6%Not measuredOnly GPT-5.1 measured
LiveCodeBench (Artificial Analysis run)86.8%58.5%GPT-5.1
Terminal-Bench Hard (Artificial Analysis run)45.5%18.9%GPT-5.1
Terminal-Bench47.6%27.2%GPT-5.1
GSO-Bench13.7%4.9%GPT-5.1
WeirdML60.8%41.2%GPT-5.1
ALE-BenchNot measured461.4Only Qwen3 Coder 480B A35B measured
LMArena Text: coding14531412GPT-5.1
LMArena Text: software and IT14541393GPT-5.1
LMArena WebDev: React13071257GPT-5.1
LMArena WebDev: HTML14051287GPT-5.1
LMArena WebDev: from an image1421Not measuredOnly GPT-5.1 measured
Neither model has a result on the other 22 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index10
Intelligence benchmarks for GPT-5.1 and Qwen3 Coder 480B A35B
BenchmarkGPT-5.1Qwen3 Coder 480B A35BLeader
AA Intelligence Index24.711.9GPT-5.1
Epoch Capabilities Index149.8Not measuredOnly GPT-5.1 measured
Agentic workLike-for-likePublic boards, shown as published, kept out of the index10
Agentic work benchmarks for GPT-5.1 and Qwen3 Coder 480B A35B
BenchmarkGPT-5.1Qwen3 Coder 480B A35BLeader
τ²-Bench Telecom81.9%43.6%GPT-5.1
DeepResearch Bench42.8%Not measuredOnly GPT-5.1 measured
Vending-Bench 2$1,473Not measuredOnly GPT-5.1 measured
Neither model has a result on the other 38 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index50
Reasoning benchmarks for GPT-5.1 and Qwen3 Coder 480B A35B
BenchmarkGPT-5.1Qwen3 Coder 480B A35BLeader
GPQA Diamond86.6%Not measuredOnly GPT-5.1 measured
MMMU Pro (Vals AI)83.2%Not measuredOnly GPT-5.1 measured
GPQA Diamond (Artificial Analysis run)87.3%61.8%GPT-5.1
Humanity's Last Exam (Artificial Analysis run)28.5%4.5%GPT-5.1
GPQA Diamond (Epoch AI run)87.6%Not measuredOnly GPT-5.1 measured
ARC-AGI72.8%Not measuredOnly GPT-5.1 measured
ARC-AGI-217.6%Not measuredOnly GPT-5.1 measured
SimpleBench53.2%Not measuredOnly GPT-5.1 measured
Chess puzzles42.0%Not measuredOnly GPT-5.1 measured
Mystery game puzzles19.0%Not measuredOnly GPT-5.1 measured
VPCT58.7%Not measuredOnly GPT-5.1 measured
LMArena Text: hard prompts14571372GPT-5.1
LMArena Text: expert14701338GPT-5.1
LMArena Text: hard prompts in English14621380GPT-5.1
LMArena Vision: diagrams1264Not measuredOnly GPT-5.1 measured
LMArena Vision: homework1272Not measuredOnly GPT-5.1 measured
Kagi LLM BenchmarkNot measured49.5%Only Qwen3 Coder 480B A35B measured
Neither model has a result on the other 5 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index40
Math benchmarks for GPT-5.1 and Qwen3 Coder 480B A35B
BenchmarkGPT-5.1Qwen3 Coder 480B A35BLeader
AIME93.3%Not measuredOnly GPT-5.1 measured
MGSM (Vals AI)93.0%Not measuredOnly GPT-5.1 measured
AA Math Index94.039.3GPT-5.1
AIME 2025 (Artificial Analysis run)94.0%39.3%GPT-5.1
OTIS Mock AIME88.6%Not measuredOnly GPT-5.1 measured
LMArena Text: math14461365GPT-5.1
LMArena Text: mathematical work14491367GPT-5.1
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 GPT-5.1 and Qwen3 Coder 480B A35B
BenchmarkGPT-5.1Qwen3 Coder 480B A35BLeader
MMLU Pro86.4%Not measuredOnly GPT-5.1 measured
LegalBench (Vals AI)85.7%Not measuredOnly GPT-5.1 measured
CaseLaw (Vals AI)73.4%Not measuredOnly GPT-5.1 measured
CorpFin (Vals AI)63.8%Not measuredOnly GPT-5.1 measured
TaxEval (Vals AI)74.9%Not measuredOnly GPT-5.1 measured
MortgageTax (Vals AI)61.4%Not measuredOnly GPT-5.1 measured
MedQA (Vals AI)96.4%Not measuredOnly GPT-5.1 measured
MedCode (Vals AI)52.7%Not measuredOnly GPT-5.1 measured
MMLU Pro (Artificial Analysis run)87.0%78.8%GPT-5.1
SimpleQA Verified48.0%Not measuredOnly GPT-5.1 measured
LMArena Text: science14591347GPT-5.1
LMArena Text: medicine and healthcare14561347GPT-5.1
LMArena Text: legal and government14591358GPT-5.1
LMArena Text: business and finance14311343GPT-5.1
FACTS Benchmark Suite45.0%Not measuredOnly GPT-5.1 measured
Neither model has a result on the other 3 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index50
Web design benchmarks for GPT-5.1 and Qwen3 Coder 480B A35B
BenchmarkGPT-5.1Qwen3 Coder 480B A35BLeader
Design Arena: websites11871158GPT-5.1
Design Arena: UI components11631110GPT-5.1
Design Arena: game dev11781098GPT-5.1
Design Arena: data viz12041084GPT-5.1
Design Arena: 3D1060Not measuredOnly GPT-5.1 measured
Design Arena: all code categories11701142GPT-5.1
Design Arena: SVG1149Not measuredOnly GPT-5.1 measured
Design Arena: ASCII art1119Not measuredOnly GPT-5.1 measured
Neither model has a result on the other 1 board here
GeneralLike-for-likePublic boards, shown as published, kept out of the index190
General benchmarks for GPT-5.1 and Qwen3 Coder 480B A35B
BenchmarkGPT-5.1Qwen3 Coder 480B A35BLeader
SAGE (Vals AI)43.2%Not measuredOnly GPT-5.1 measured
MedScribe (Vals AI)88.1%Not measuredOnly GPT-5.1 measured
IFBench72.9%40.5%GPT-5.1
Long context reasoning (AA-LCR)80.0%45.7%GPT-5.1
DTBench90.1%Not measuredOnly GPT-5.1 measured
LMCA43.9%Not measuredOnly GPT-5.1 measured
CL-bench23.7%Not measuredOnly GPT-5.1 measured
CL-bench Life17.3%Not measuredOnly GPT-5.1 measured
LMArena Text14431357GPT-5.1
LMArena Text: instruction following14431355GPT-5.1
LMArena Text: creative writing14271333GPT-5.1
LMArena Vision1250Not measuredOnly GPT-5.1 measured
LMArena Text: English14511359GPT-5.1
LMArena Text: non-English14311346GPT-5.1
LMArena Text: Chinese14951357GPT-5.1
LMArena Text: German14381325GPT-5.1
LMArena Text: Japanese14531311GPT-5.1
LMArena Text: Korean14011305GPT-5.1
LMArena Text: French14501398GPT-5.1
LMArena Text: Spanish14331360GPT-5.1
LMArena Text: Russian14351366GPT-5.1
LMArena Text: Polish14401344GPT-5.1
LMArena Text: multi-turn14501366GPT-5.1
LMArena Text: longer queries14481378GPT-5.1
LMArena Text: writing and language14281340GPT-5.1
LMArena Text: entertainment and media14151317GPT-5.1
LMArena Vision: English1252Not measuredOnly GPT-5.1 measured
LMArena Vision: Chinese1270Not measuredOnly GPT-5.1 measured
LMArena Vision: reading text1255Not measuredOnly GPT-5.1 measured
LMArena Vision: humor1263Not measuredOnly GPT-5.1 measured
LMArena Vision: captioning1252Not measuredOnly GPT-5.1 measured
LMArena Vision: recognizing things1232Not measuredOnly GPT-5.1 measured
LMArena Vision: creative writing1266Not measuredOnly GPT-5.1 measured
LMArena Document1403Not measuredOnly GPT-5.1 measured
Neither model has a result on the other 12 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for GPT-5.1 and Qwen3 Coder 480B A35B
BenchmarkGPT-5.1Qwen3 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

GPT-5.1$0.0063Fits in one request
Qwen3 Coder 480B A35B$0.0010Fits in one request

Qwen3 Coder 480B A35B costs less

Repository review

50K input + 3K output tokens

GPT-5.1$0.092Fits in one request
Qwen3 Coder 480B A35B$0.019Fits in one request

Qwen3 Coder 480B A35B costs less

Agent loop

200K input + 10K output tokens

GPT-5.1$0.350Fits in one request
Qwen3 Coder 480B A35B$0.075Fits 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 GPT-5.1 and Qwen3 Coder 480B A35B
SpecificationOpenAI GPT-5.1Qwen3 Coder 480B A35B
MakerOpenAIQwen
WeightsNo public weights listedOpen weights
ReleasedNovember 13, 2025July 23, 2025
Context window400K262K
Input $/Mtok$1.25$0.30
Output $/Mtok$10.00$1.50
Coding index40.4Not benchmarked
Independent measurements behind it31
Cost per solved task$1.02Not computable
SourceOpenRouter listingOpenRouter listing

Questions

Is GPT-5.1 better than Qwen3 Coder 480B A35B for coding?

Only GPT-5.1 has a coding score, 40.4 on the Vibe Coding Index; Qwen3 Coder 480B A35B has none, so the two cannot be ranked on coding. Pick Qwen3 Coder 480B A35B for output tokens 6.7x cheaper ($1.50 vs $10.00 per million) and work measured by SWE-bench Verified, where it leads.

Which is cheaper, GPT-5.1 or Qwen3 Coder 480B A35B?

GPT-5.1 costs $1.25 per million input tokens and $10.00 per million output tokens; Qwen3 Coder 480B A35B costs $0.30 and $1.50. Cost per solved task is known for GPT-5.1 only.

Which has the bigger context window, GPT-5.1 or Qwen3 Coder 480B A35B?

GPT-5.1, with 400K tokens against 262K.

How many benchmarks is the GPT-5.1 vs Qwen3 Coder 480B A35B comparison based on?

51 benchmarks have a result for both models as of October 22, 2026. GPT-5.1's coding index rests on 3 independent benchmarks and Qwen3 Coder 480B A35B's on 1. Where only one model has a result, the page says so instead of naming a winner.

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