GPT-4o vs Qwen3 Coder 480B A35B
Updated October 21, 2026. 16 benchmarks have a result for both. Coding is ranked on the Vibe Coding Index; every other board is shown as published.
Decision reading
Pick Qwen3 Coder 480B A35B for coding: it scores 50.0 on the Vibe Coding Index against 38.8 for GPT-4o.
Pick GPT-4o when the benchmark that matters is Long context reasoning (AA-LCR), where it leads.
- Shared results
- 16
- GPT-4o only
- 10
- Qwen3 Coder 480B A35B only
- 36
- 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.
Coding
Vibe Coding Index, four public coding benchmarks
Qwen3 Coder 480B A35B
Qwen3 Coder 480B A35B scores 50.0 against 38.8.
1 and 2 benchmarks behind the scores
Intelligence
AA Intelligence Index
No call
Only Qwen3 Coder 480B A35B has a AA Intelligence Index result, 11.9.
Directional only
Web design
Design Arena: websites
Qwen3 Coder 480B A35B
Qwen3 Coder 480B A35B leads, 1159 against 831.
Same board, both measured
Long documents
Listed context window
Qwen3 Coder 480B A35B
Qwen3 Coder 480B A35B takes 262K tokens against 128K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
Qwen3 Coder 480B A35B
GPT-4o $0.0075, Qwen3 Coder 480B A35B $0.0008 per turn.
List prices
At a glance
- Coding index
- GPT-4o 38.8 from 1 benchmark, Qwen3 Coder 480B A35B 50.0 from 2 benchmarks.
- Widest category
- Math, 33.3 points apart on average over 2 shared benchmarks.
- Widest single gap
- Design Arena: websites: GPT-4o 831 against Qwen3 Coder 480B A35B 1159, 41.0 points apart on a 0 to 100 scale.
- Output price
- GPT-4o $10.00 against Qwen3 Coder 480B A35B $1.00 per million output tokens, 10.0x apart.
- Context window
- GPT-4o 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.
| Category | GPT-4o | Bars | Qwen3 Coder 480B A35B | Ties |
|---|---|---|---|---|
| Coding | 0 | 3 | ||
| Agentic work | 0 | 1 | ||
| Reasoning | 0 | 2 | ||
| Math | 0 | 2 | ||
| Knowledge | 0 | 1 | ||
| Web design | 0 | 5 | ||
| General | 1 | 1 | ||
| All shared boards | 1 | 15 |
CodingLike-for-likeFour of these boards feed the Vibe Coding Index03
| Benchmark | GPT-4o | Qwen3 Coder 480B A35B | Leader |
|---|---|---|---|
| SWE-bench Verified | 38.8% | 69.6% | Qwen3 Coder 480B A35B |
| SWE-bench Lite | 38.0% | Not measured | Only GPT-4o measured |
| SWE-bench (full test set) | 18.8% | Not measured | Only GPT-4o measured |
| SWE-bench Multimodal | 30.4% | Not measured | Only GPT-4o measured |
| LMArena WebDev | Not measured | 1275 | Only Qwen3 Coder 480B A35B measured |
| LiveCodeBench (Artificial Analysis run) | 30.9% | 58.5% | Qwen3 Coder 480B A35B |
| Terminal-Bench Hard (Artificial Analysis run) | 8.3% | 18.9% | Qwen3 Coder 480B A35B |
| Terminal-Bench | Not measured | 27.2% | Only Qwen3 Coder 480B A35B measured |
| GSO-Bench | Not measured | 4.9% | Only Qwen3 Coder 480B A35B measured |
| WeirdML | Not measured | 41.2% | Only Qwen3 Coder 480B A35B measured |
| ALE-Bench | Not measured | 461.4 | Only Qwen3 Coder 480B A35B measured |
| LMArena Text: coding | Not measured | 1412 | Only Qwen3 Coder 480B A35B measured |
| LMArena Text: software and IT | Not measured | 1393 | Only Qwen3 Coder 480B A35B measured |
| LMArena WebDev: React | Not measured | 1257 | Only Qwen3 Coder 480B A35B measured |
| LMArena WebDev: HTML | Not measured | 1287 | Only Qwen3 Coder 480B A35B measured |
| Neither model has a result on the other 23 boards here | |||
IntelligenceDirectional onlyPublic boards, shown as published, kept out of the index1 board, none shared
| Benchmark | GPT-4o | Qwen3 Coder 480B A35B | Leader |
|---|---|---|---|
| AA Intelligence Index | Not measured | 11.9 | Only Qwen3 Coder 480B A35B measured |
| Neither model has a result on the other 1 board here | |||
Agentic workLike-for-likePublic boards, shown as published, kept out of the index01
| Benchmark | GPT-4o | Qwen3 Coder 480B A35B | Leader |
|---|---|---|---|
| τ²-Bench Telecom | 25.1% | 43.6% | Qwen3 Coder 480B A35B |
| GDPval | 9.9% | Not measured | Only GPT-4o measured |
| Neither model has a result on the other 37 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index02
| Benchmark | GPT-4o | Qwen3 Coder 480B A35B | Leader |
|---|---|---|---|
| GPQA Diamond (Artificial Analysis run) | 54.3% | 61.8% | Qwen3 Coder 480B A35B |
| Humanity's Last Exam (Artificial Analysis run) | 2.4% | 4.5% | Qwen3 Coder 480B A35B |
| ARC-AGI | 4.5% | Not measured | Only GPT-4o measured |
| ARC-AGI-2 | 0.0% | Not measured | Only GPT-4o measured |
| LMArena Text: hard prompts | Not measured | 1372 | Only Qwen3 Coder 480B A35B measured |
| LMArena Text: expert | Not measured | 1338 | Only Qwen3 Coder 480B A35B measured |
| LMArena Text: hard prompts in English | Not measured | 1380 | Only Qwen3 Coder 480B A35B measured |
| Neither model has a result on the other 14 boards here | |||
MathLike-for-likePublic boards, shown as published, kept out of the index02
| Benchmark | GPT-4o | Qwen3 Coder 480B A35B | Leader |
|---|---|---|---|
| AA Math Index | 6.0 | 39.3 | Qwen3 Coder 480B A35B |
| AIME 2025 (Artificial Analysis run) | 6.0% | 39.3% | Qwen3 Coder 480B A35B |
| LMArena Text: math | Not measured | 1365 | Only Qwen3 Coder 480B A35B measured |
| LMArena Text: mathematical work | Not measured | 1367 | Only Qwen3 Coder 480B A35B measured |
| Neither model has a result on the other 9 boards here | |||
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index01
| Benchmark | GPT-4o | Qwen3 Coder 480B A35B | Leader |
|---|---|---|---|
| MMLU Pro (Artificial Analysis run) | 74.8% | 78.8% | Qwen3 Coder 480B A35B |
| MMLU | 88.1% | Not measured | Only GPT-4o measured |
| LMArena Text: science | Not measured | 1347 | Only Qwen3 Coder 480B A35B measured |
| LMArena Text: medicine and healthcare | Not measured | 1347 | Only Qwen3 Coder 480B A35B measured |
| LMArena Text: legal and government | Not measured | 1358 | Only Qwen3 Coder 480B A35B measured |
| LMArena Text: business and finance | Not measured | 1343 | Only Qwen3 Coder 480B A35B measured |
| Neither model has a result on the other 11 boards here | |||
Web designLike-for-likePublic boards, shown as published, kept out of the index05
| Benchmark | GPT-4o | Qwen3 Coder 480B A35B | Leader |
|---|---|---|---|
| Design Arena: websites | 831 | 1159 | Qwen3 Coder 480B A35B |
| Design Arena: UI components | 885 | 1112 | Qwen3 Coder 480B A35B |
| Design Arena: game dev | 906 | 1099 | Qwen3 Coder 480B A35B |
| Design Arena: data viz | 858 | 1084 | Qwen3 Coder 480B A35B |
| Design Arena: 3D | 869 | Not measured | Only GPT-4o measured |
| Design Arena: all code categories | 861 | 1143 | Qwen3 Coder 480B A35B |
| Neither model has a result on the other 3 boards here | |||
GeneralLike-for-likePublic boards, shown as published, kept out of the index11
| Benchmark | GPT-4o | Qwen3 Coder 480B A35B | Leader |
|---|---|---|---|
| IFBench | 34.3% | 40.5% | Qwen3 Coder 480B A35B |
| Long context reasoning (AA-LCR) | 49.3% | 45.7% | GPT-4o |
| DTBench | 64.5% | Not measured | Only GPT-4o measured |
| LMCA | 16.6% | Not measured | Only GPT-4o measured |
| LMArena Text | Not measured | 1357 | Only Qwen3 Coder 480B A35B measured |
| LMArena Text: instruction following | Not measured | 1355 | Only Qwen3 Coder 480B A35B measured |
| LMArena Text: creative writing | Not measured | 1333 | Only Qwen3 Coder 480B A35B measured |
| LMArena Text: English | Not measured | 1359 | Only Qwen3 Coder 480B A35B measured |
| LMArena Text: non-English | Not measured | 1346 | Only Qwen3 Coder 480B A35B measured |
| LMArena Text: Chinese | Not measured | 1357 | Only Qwen3 Coder 480B A35B measured |
| LMArena Text: German | Not measured | 1325 | Only Qwen3 Coder 480B A35B measured |
| LMArena Text: Japanese | Not measured | 1311 | Only Qwen3 Coder 480B A35B measured |
| LMArena Text: Korean | Not measured | 1305 | Only Qwen3 Coder 480B A35B measured |
| LMArena Text: French | Not measured | 1398 | Only Qwen3 Coder 480B A35B measured |
| LMArena Text: Spanish | Not measured | 1360 | Only Qwen3 Coder 480B A35B measured |
| LMArena Text: Russian | Not measured | 1366 | Only Qwen3 Coder 480B A35B measured |
| LMArena Text: Polish | Not measured | 1344 | Only Qwen3 Coder 480B A35B measured |
| LMArena Text: multi-turn | Not measured | 1366 | Only Qwen3 Coder 480B A35B measured |
| LMArena Text: longer queries | Not measured | 1378 | Only Qwen3 Coder 480B A35B measured |
| LMArena Text: writing and language | Not measured | 1340 | Only Qwen3 Coder 480B A35B measured |
| LMArena Text: entertainment and media | Not measured | 1317 | Only Qwen3 Coder 480B A35B measured |
| Neither model has a result on the other 25 boards here | |||
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | GPT-4o | Qwen3 Coder 480B A35B | Leader |
|---|---|---|---|
| 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
Qwen3 Coder 480B A35B costs less
Repository review
50K input + 3K output tokens
Qwen3 Coder 480B A35B costs less
Agent loop
200K input + 10K output tokens
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.
| Specification | OpenAI GPT-4o | Qwen3 Coder 480B A35B |
|---|---|---|
| Maker | OpenAI | Qwen |
| Weights | No public weights listed | Open weights |
| Released | May 13, 2024 | July 23, 2025 |
| Context window | 128K | 262K |
| Input $/Mtok | $2.50 | $0.30 |
| Output $/Mtok | $10.00 | $1.00 |
| Coding index | 38.8 | 50.0 |
| Independent measurements behind it | 1 | 2 |
| Cost per solved task | Not computable | Not computable |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is GPT-4o 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 38.8 for GPT-4o. Pick GPT-4o when the benchmark that matters is Long context reasoning (AA-LCR), where it leads.
Which is cheaper, GPT-4o or Qwen3 Coder 480B A35B?
GPT-4o 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 or Qwen3 Coder 480B A35B?
Qwen3 Coder 480B A35B, with 262K tokens against 128K.
How many benchmarks is the GPT-4o vs Qwen3 Coder 480B A35B comparison based on?
16 benchmarks have a result for both models as of October 21, 2026. GPT-4o'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.