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GPT-4o (2024-08-06) vs Qwen3 Coder 480B A35B

Updated October 21, 2026. 35 benchmarks have a result for both. Coding is ranked on the Vibe Coding Index; every other board is shown as published.

Replace GPT-4o (2024-08-06) Replace Qwen3 Coder 480B A35B
GPT-4o (2024-08-06)OpenAI
Coding
23.1
Overall
7.7
Output $/M
$10.00
0
Qwen3 Coder 480B A35BQwen
Coding
50.0
Overall
11.9
Output $/M
$1.00
35
vs boards won of 35 shared

Decision reading

Pick Qwen3 Coder 480B A35B for coding: it scores 50.0 on the Vibe Coding Index against 23.1 for GPT-4o (2024-08-06).

GPT-4o (2024-08-06) is neither cheaper nor larger in context, and leads no benchmark both models were measured on.

Model AGPT-4o (2024-08-06)OpenAI23.1/1001 independent benchmarkNo cost per solved taskModel BQwen3 Coder 480B A35BQwen50.0/1002 independent benchmarksNo cost per solved task
Shared results
35
GPT-4o (2024-08-06) only
23
Qwen3 Coder 480B A35B only
17
Like-for-like categories
7 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
GPT-4o (2024-08-06) 23.1 from 1 benchmark, Qwen3 Coder 480B A35B 50.0 from 2 benchmarks.
Widest category
Coding, 19.5 points apart on average over 4 shared benchmarks.
Widest single gap
LiveCodeBench (Artificial Analysis run): GPT-4o (2024-08-06) 31.7% against Qwen3 Coder 480B A35B 58.5%, 26.8 points apart on a 0 to 100 scale.
Output price
GPT-4o (2024-08-06) $10.00 against Qwen3 Coder 480B A35B $1.00 per million output tokens, 10.0x apart.
Context window
GPT-4o (2024-08-06) takes 128K 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-4o (2024-08-06)BarsQwen3 Coder 480B A35BTies
Coding04
Intelligence01
Agentic work01
Reasoning05
Math02
Knowledge04
General018
All shared boards035
CodingLike-for-likeFour of these boards feed the Vibe Coding Index04
Coding benchmarks for GPT-4o (2024-08-06) and Qwen3 Coder 480B A35B
BenchmarkGPT-4o (2024-08-06)Qwen3 Coder 480B A35BLeader
Aider polyglot23.1%Not measuredOnly GPT-4o (2024-08-06) measured
SWE-bench VerifiedNot measured69.6%Only Qwen3 Coder 480B A35B measured
SWE-bench Lite21.7%Not measuredOnly GPT-4o (2024-08-06) measured
LMArena WebDevNot measured1275Only Qwen3 Coder 480B A35B measured
LiveCodeBench (Artificial Analysis run)31.7%58.5%Qwen3 Coder 480B A35B
Terminal-Bench Hard (Artificial Analysis run)8.3%18.9%Qwen3 Coder 480B A35B
Terminal-BenchNot measured27.2%Only Qwen3 Coder 480B A35B measured
GSO-BenchNot measured4.9%Only Qwen3 Coder 480B A35B measured
WeirdMLNot measured41.2%Only Qwen3 Coder 480B A35B measured
ALE-BenchNot measured461.4Only Qwen3 Coder 480B A35B measured
LMArena Text: coding12831412Qwen3 Coder 480B A35B
LMArena Text: software and IT12781393Qwen3 Coder 480B A35B
LMArena WebDev: ReactNot measured1257Only Qwen3 Coder 480B A35B measured
LMArena WebDev: HTMLNot measured1287Only Qwen3 Coder 480B A35B measured
Neither model has a result on the other 24 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index01
Intelligence benchmarks for GPT-4o (2024-08-06) and Qwen3 Coder 480B A35B
BenchmarkGPT-4o (2024-08-06)Qwen3 Coder 480B A35BLeader
AA Intelligence Index7.711.9Qwen3 Coder 480B A35B
Neither model has a result on the other 1 board here
Agentic workLike-for-likePublic boards, shown as published, kept out of the index01
Agentic work benchmarks for GPT-4o (2024-08-06) and Qwen3 Coder 480B A35B
BenchmarkGPT-4o (2024-08-06)Qwen3 Coder 480B A35BLeader
τ²-Bench Telecom28.9%43.6%Qwen3 Coder 480B A35B
Neither model has a result on the other 38 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index05
Reasoning benchmarks for GPT-4o (2024-08-06) and Qwen3 Coder 480B A35B
BenchmarkGPT-4o (2024-08-06)Qwen3 Coder 480B A35BLeader
MMMU Pro (Vals AI)64.0%Not measuredOnly GPT-4o (2024-08-06) measured
GPQA Diamond (Artificial Analysis run)52.1%61.8%Qwen3 Coder 480B A35B
Humanity's Last Exam (Artificial Analysis run)2.3%4.5%Qwen3 Coder 480B A35B
GPQA Diamond (Epoch AI run)49.2%Not measuredOnly GPT-4o (2024-08-06) measured
SimpleBench17.8%Not measuredOnly GPT-4o (2024-08-06) measured
Chess puzzles6.0%Not measuredOnly GPT-4o (2024-08-06) measured
LMArena Text: hard prompts12641372Qwen3 Coder 480B A35B
LMArena Text: expert12411338Qwen3 Coder 480B A35B
LMArena Text: hard prompts in English12771380Qwen3 Coder 480B A35B
Neither model has a result on the other 12 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index02
Math benchmarks for GPT-4o (2024-08-06) and Qwen3 Coder 480B A35B
BenchmarkGPT-4o (2024-08-06)Qwen3 Coder 480B A35BLeader
AIME14.0%Not measuredOnly GPT-4o (2024-08-06) measured
MATH 500 (Vals AI)75.2%Not measuredOnly GPT-4o (2024-08-06) measured
MGSM (Vals AI)90.7%Not measuredOnly GPT-4o (2024-08-06) measured
AA Math IndexNot measured39.3Only Qwen3 Coder 480B A35B measured
AIME 2025 (Artificial Analysis run)Not measured39.3%Only Qwen3 Coder 480B A35B measured
OTIS Mock AIME6.4%Not measuredOnly GPT-4o (2024-08-06) measured
FrontierMath, tiers 1 to 30.4%Not measuredOnly GPT-4o (2024-08-06) measured
MATH level 553.3%Not measuredOnly GPT-4o (2024-08-06) measured
LMArena Text: math12851365Qwen3 Coder 480B A35B
LMArena Text: mathematical work12831367Qwen3 Coder 480B A35B
Neither model has a result on the other 3 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index04
Knowledge benchmarks for GPT-4o (2024-08-06) and Qwen3 Coder 480B A35B
BenchmarkGPT-4o (2024-08-06)Qwen3 Coder 480B A35BLeader
MMLU Pro74.1%Not measuredOnly GPT-4o (2024-08-06) measured
LegalBench (Vals AI)80.1%Not measuredOnly GPT-4o (2024-08-06) measured
CorpFin (Vals AI)39.4%Not measuredOnly GPT-4o (2024-08-06) measured
TaxEval (Vals AI)71.1%Not measuredOnly GPT-4o (2024-08-06) measured
MortgageTax (Vals AI)61.0%Not measuredOnly GPT-4o (2024-08-06) measured
MedQA (Vals AI)88.2%Not measuredOnly GPT-4o (2024-08-06) measured
MMLU Pro (Artificial Analysis run)Not measured78.8%Only Qwen3 Coder 480B A35B measured
SimpleQA Verified26.0%Not measuredOnly GPT-4o (2024-08-06) measured
MMLU84.3%Not measuredOnly GPT-4o (2024-08-06) measured
LMArena Text: science12741347Qwen3 Coder 480B A35B
LMArena Text: medicine and healthcare12521347Qwen3 Coder 480B A35B
LMArena Text: legal and government12751358Qwen3 Coder 480B A35B
LMArena Text: business and finance12321343Qwen3 Coder 480B A35B
Neither model has a result on the other 4 boards here
Web designDirectional onlyPublic boards, shown as published, kept out of the index5 boards, none shared
Web design benchmarks for GPT-4o (2024-08-06) and Qwen3 Coder 480B A35B
BenchmarkGPT-4o (2024-08-06)Qwen3 Coder 480B A35BLeader
Design Arena: websitesNot measured1159Only Qwen3 Coder 480B A35B measured
Design Arena: UI componentsNot measured1112Only Qwen3 Coder 480B A35B measured
Design Arena: game devNot measured1099Only Qwen3 Coder 480B A35B measured
Design Arena: data vizNot measured1084Only Qwen3 Coder 480B A35B measured
Design Arena: all code categoriesNot measured1143Only Qwen3 Coder 480B A35B measured
Neither model has a result on the other 4 boards here
GeneralLike-for-likePublic boards, shown as published, kept out of the index018
General benchmarks for GPT-4o (2024-08-06) and Qwen3 Coder 480B A35B
BenchmarkGPT-4o (2024-08-06)Qwen3 Coder 480B A35BLeader
IFBench36.0%40.5%Qwen3 Coder 480B A35B
Long context reasoning (AA-LCR)41.0%45.7%Qwen3 Coder 480B A35B
LMArena Text12831357Qwen3 Coder 480B A35B
LMArena Text: instruction following12671355Qwen3 Coder 480B A35B
LMArena Text: creative writing12741333Qwen3 Coder 480B A35B
LMArena Vision1065Not measuredOnly GPT-4o (2024-08-06) measured
LMArena Text: English12971359Qwen3 Coder 480B A35B
LMArena Text: non-English12621346Qwen3 Coder 480B A35B
LMArena Text: Chinese12541357Qwen3 Coder 480B A35B
LMArena Text: German12571325Qwen3 Coder 480B A35B
LMArena Text: Japanese12341311Qwen3 Coder 480B A35B
LMArena Text: Korean12181305Qwen3 Coder 480B A35B
LMArena Text: French12631398Qwen3 Coder 480B A35B
LMArena Text: Spanish12691360Qwen3 Coder 480B A35B
LMArena Text: Russian12721366Qwen3 Coder 480B A35B
LMArena Text: PolishNot measured1344Only Qwen3 Coder 480B A35B measured
LMArena Text: multi-turn12791366Qwen3 Coder 480B A35B
LMArena Text: longer queries12831378Qwen3 Coder 480B A35B
LMArena Text: writing and language12901340Qwen3 Coder 480B A35B
LMArena Text: entertainment and media12671317Qwen3 Coder 480B A35B
LMArena Vision: English1072Not measuredOnly GPT-4o (2024-08-06) measured
LMArena Vision: Chinese1009Not measuredOnly GPT-4o (2024-08-06) measured
Neither model has a result on the other 24 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for GPT-4o (2024-08-06) and Qwen3 Coder 480B A35B
BenchmarkGPT-4o (2024-08-06)Qwen3 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-4o (2024-08-06)$0.0075Fits 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

GPT-4o (2024-08-06)$0.155Fits 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

GPT-4o (2024-08-06)$0.600Exceeds the context window
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 GPT-4o (2024-08-06) and Qwen3 Coder 480B A35B
SpecificationOpenAI GPT-4o (2024-08-06)Qwen3 Coder 480B A35B
MakerOpenAIQwen
WeightsNo public weights listedOpen weights
ReleasedAugust 6, 2024July 23, 2025
Context window128K262K
Input $/Mtok$2.50$0.30
Output $/Mtok$10.00$1.00
Coding index23.150.0
Independent measurements behind it12
Cost per solved taskNot computableNot computable
SourceOpenRouter listingOpenRouter listing

Questions

Is GPT-4o (2024-08-06) 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 23.1 for GPT-4o (2024-08-06). GPT-4o (2024-08-06) is neither cheaper nor larger in context, and leads no benchmark both models were measured on.

Which is cheaper, GPT-4o (2024-08-06) or Qwen3 Coder 480B A35B?

GPT-4o (2024-08-06) costs $2.50 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 neither of them.

Which has the bigger context window, GPT-4o (2024-08-06) or Qwen3 Coder 480B A35B?

Qwen3 Coder 480B A35B, with 262K tokens against 128K.

How many benchmarks is the GPT-4o (2024-08-06) vs Qwen3 Coder 480B A35B comparison based on?

35 benchmarks have a result for both models as of October 21, 2026. GPT-4o (2024-08-06)'s coding index rests on 1 independent benchmark 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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