GPT-4o (2024-08-06) vs Qwen3 Coder 30B A3B Instruct
Qwen3 Coder 30B A3B Instruct leads GPT-4o (2024-08-06) on the Artificial Analysis Intelligence Index, 9.6 to 7.7, and Qwen3 Coder 30B A3B Instruct costs 22.7x less per output token ($0.44 vs $10.00 per million). Updated October 22, 2026; 9 benchmarks have a result for both.
GPT-4o (2024-08-06) or Qwen3 Coder 30B A3B Instruct: which to pick
Neither model has a coding score yet, so the two cannot be ranked on coding.
Pick GPT-4o (2024-08-06) for work measured by SWE-bench Lite or LiveCodeBench (Artificial Analysis run), where it leads.
- Shared results
- 9
- GPT-4o (2024-08-06) only
- 49
- Qwen3 Coder 30B A3B Instruct only
- 7
- Like-for-like categories
- 5 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.
Coding
Vibe Coding Index, six public coding benchmarks
No call
Neither has a coding score yet.
One side not measured
Intelligence
AA Intelligence Index
Qwen3 Coder 30B A3B Instruct
Qwen3 Coder 30B A3B Instruct leads, 9.6 against 7.7.
Same board, both measured
Math
AIME
No call
Only GPT-4o (2024-08-06) has a AIME result, 14.0%.
Directional only
Knowledge
MMLU Pro
No call
Only GPT-4o (2024-08-06) has a MMLU Pro result, 74.1%.
Directional only
Web design
Design Arena: websites
No call
Only Qwen3 Coder 30B A3B Instruct has a Design Arena: websites result, 1087.
Directional only
Long documents
Listed context window
Qwen3 Coder 30B A3B Instruct
Qwen3 Coder 30B A3B Instruct takes 262K tokens against 128K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
Qwen3 Coder 30B A3B Instruct
GPT-4o (2024-08-06) $0.0075, Qwen3 Coder 30B A3B Instruct $0.0003 per turn.
List prices
At a glance
- Coding index
- GPT-4o (2024-08-06) not benchmarked, Qwen3 Coder 30B A3B Instruct not benchmarked.
- Widest category
- Coding, 14.5 points apart on average over 3 shared benchmarks.
- Widest single gap
- SWE-bench Lite: GPT-4o (2024-08-06) 21.7% against Qwen3 Coder 30B A3B Instruct 49.7%, 28.0 points apart on a 0 to 100 scale.
- Output price
- GPT-4o (2024-08-06) $10.00 against Qwen3 Coder 30B A3B Instruct $0.44 per million output tokens, 22.7x apart.
- Context window
- GPT-4o (2024-08-06) takes 128K tokens, Qwen3 Coder 30B A3B Instruct 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 (2024-08-06) | Bars | Qwen3 Coder 30B A3B Instruct | Ties |
|---|---|---|---|---|
| Coding | 0 | 3 | ||
| Intelligence | 0 | 1 | ||
| Agentic work | 0 | 1 | ||
| Reasoning | 1 | 1 | ||
| General | 2 | 0 | ||
| All shared boards | 3 | 6 |
CodingLike-for-likeSix of these boards feed the Vibe Coding Index03
| Benchmark | GPT-4o (2024-08-06) | Qwen3 Coder 30B A3B Instruct | Leader |
|---|---|---|---|
| Aider polyglot | 23.1% | Not measured | Only GPT-4o (2024-08-06) measured |
| SWE-bench Verified | Not measured | 60.4% | Only Qwen3 Coder 30B A3B Instruct measured |
| SWE-bench Lite | 21.7% | 49.7% | Qwen3 Coder 30B A3B Instruct |
| LiveCodeBench (Artificial Analysis run) | 31.7% | 40.3% | Qwen3 Coder 30B A3B Instruct |
| Terminal-Bench Hard (Artificial Analysis run) | 8.3% | 15.2% | Qwen3 Coder 30B A3B Instruct |
| LMArena Text: coding | 1283 | Not measured | Only GPT-4o (2024-08-06) measured |
| LMArena Text: software and IT | 1278 | Not measured | Only GPT-4o (2024-08-06) measured |
| Neither model has a result on the other 36 boards here | |||
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index01
| Benchmark | GPT-4o (2024-08-06) | Qwen3 Coder 30B A3B Instruct | Leader |
|---|---|---|---|
| AA Intelligence Index | 7.7 | 9.6 | Qwen3 Coder 30B A3B Instruct |
| 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 (2024-08-06) | Qwen3 Coder 30B A3B Instruct | Leader |
|---|---|---|---|
| τ²-Bench Telecom | 28.9% | 34.5% | Qwen3 Coder 30B A3B Instruct |
| Neither model has a result on the other 41 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index11
| Benchmark | GPT-4o (2024-08-06) | Qwen3 Coder 30B A3B Instruct | Leader |
|---|---|---|---|
| MMMU Pro (Vals AI) | 64.0% | Not measured | Only GPT-4o (2024-08-06) measured |
| GPQA Diamond (Artificial Analysis run) | 52.1% | 51.6% | GPT-4o (2024-08-06) |
| Humanity's Last Exam (Artificial Analysis run) | 2.3% | 3.8% | Qwen3 Coder 30B A3B Instruct |
| GPQA Diamond (Epoch AI run) | 49.2% | Not measured | Only GPT-4o (2024-08-06) measured |
| SimpleBench | 17.8% | Not measured | Only GPT-4o (2024-08-06) measured |
| Chess puzzles | 6.0% | Not measured | Only GPT-4o (2024-08-06) measured |
| LMArena Text: hard prompts | 1264 | Not measured | Only GPT-4o (2024-08-06) measured |
| LMArena Text: expert | 1241 | Not measured | Only GPT-4o (2024-08-06) measured |
| LMArena Text: hard prompts in English | 1277 | Not measured | Only GPT-4o (2024-08-06) measured |
| Neither model has a result on the other 14 boards here | |||
MathDirectional onlyPublic boards, shown as published, kept out of the index10 boards, none shared
| Benchmark | GPT-4o (2024-08-06) | Qwen3 Coder 30B A3B Instruct | Leader |
|---|---|---|---|
| AIME | 14.0% | Not measured | Only GPT-4o (2024-08-06) measured |
| MATH 500 (Vals AI) | 75.2% | Not measured | Only GPT-4o (2024-08-06) measured |
| MGSM (Vals AI) | 90.7% | Not measured | Only GPT-4o (2024-08-06) measured |
| AA Math Index | Not measured | 29.0 | Only Qwen3 Coder 30B A3B Instruct measured |
| AIME 2025 (Artificial Analysis run) | Not measured | 29.0% | Only Qwen3 Coder 30B A3B Instruct measured |
| OTIS Mock AIME | 6.4% | Not measured | Only GPT-4o (2024-08-06) measured |
| FrontierMath, tiers 1 to 3 | 0.4% | Not measured | Only GPT-4o (2024-08-06) measured |
| MATH level 5 | 53.3% | Not measured | Only GPT-4o (2024-08-06) measured |
| LMArena Text: math | 1285 | Not measured | Only GPT-4o (2024-08-06) measured |
| LMArena Text: mathematical work | 1283 | Not measured | Only GPT-4o (2024-08-06) measured |
| Neither model has a result on the other 4 boards here | |||
KnowledgeDirectional onlyPublic boards, shown as published, kept out of the index13 boards, none shared
| Benchmark | GPT-4o (2024-08-06) | Qwen3 Coder 30B A3B Instruct | Leader |
|---|---|---|---|
| MMLU Pro | 74.1% | Not measured | Only GPT-4o (2024-08-06) measured |
| LegalBench (Vals AI) | 80.1% | Not measured | Only GPT-4o (2024-08-06) measured |
| CorpFin (Vals AI) | 39.4% | Not measured | Only GPT-4o (2024-08-06) measured |
| TaxEval (Vals AI) | 71.1% | Not measured | Only GPT-4o (2024-08-06) measured |
| MortgageTax (Vals AI) | 61.0% | Not measured | Only GPT-4o (2024-08-06) measured |
| MedQA (Vals AI) | 88.2% | Not measured | Only GPT-4o (2024-08-06) measured |
| MMLU Pro (Artificial Analysis run) | Not measured | 70.6% | Only Qwen3 Coder 30B A3B Instruct measured |
| SimpleQA Verified | 26.0% | Not measured | Only GPT-4o (2024-08-06) measured |
| MMLU | 84.3% | Not measured | Only GPT-4o (2024-08-06) measured |
| LMArena Text: science | 1274 | Not measured | Only GPT-4o (2024-08-06) measured |
| LMArena Text: medicine and healthcare | 1252 | Not measured | Only GPT-4o (2024-08-06) measured |
| LMArena Text: legal and government | 1275 | Not measured | Only GPT-4o (2024-08-06) measured |
| LMArena Text: business and finance | 1232 | Not measured | Only GPT-4o (2024-08-06) measured |
| Neither model has a result on the other 7 boards here | |||
Web designDirectional onlyPublic boards, shown as published, kept out of the index3 boards, none shared
| Benchmark | GPT-4o (2024-08-06) | Qwen3 Coder 30B A3B Instruct | Leader |
|---|---|---|---|
| Design Arena: websites | Not measured | 1087 | Only Qwen3 Coder 30B A3B Instruct measured |
| Design Arena: UI components | Not measured | 1044 | Only Qwen3 Coder 30B A3B Instruct measured |
| Design Arena: data viz | Not measured | 1085 | Only Qwen3 Coder 30B A3B Instruct measured |
| Neither model has a result on the other 6 boards here | |||
GeneralLike-for-likePublic boards, shown as published, kept out of the index20
| Benchmark | GPT-4o (2024-08-06) | Qwen3 Coder 30B A3B Instruct | Leader |
|---|---|---|---|
| IFBench | 36.0% | 32.7% | GPT-4o (2024-08-06) |
| Long context reasoning (AA-LCR) | 41.0% | 32.7% | GPT-4o (2024-08-06) |
| LMArena Text | 1283 | Not measured | Only GPT-4o (2024-08-06) measured |
| LMArena Text: instruction following | 1267 | Not measured | Only GPT-4o (2024-08-06) measured |
| LMArena Text: creative writing | 1274 | Not measured | Only GPT-4o (2024-08-06) measured |
| LMArena Vision | 1065 | Not measured | Only GPT-4o (2024-08-06) measured |
| LMArena Text: English | 1297 | Not measured | Only GPT-4o (2024-08-06) measured |
| LMArena Text: non-English | 1262 | Not measured | Only GPT-4o (2024-08-06) measured |
| LMArena Text: Chinese | 1254 | Not measured | Only GPT-4o (2024-08-06) measured |
| LMArena Text: German | 1257 | Not measured | Only GPT-4o (2024-08-06) measured |
| LMArena Text: Japanese | 1234 | Not measured | Only GPT-4o (2024-08-06) measured |
| LMArena Text: Korean | 1218 | Not measured | Only GPT-4o (2024-08-06) measured |
| LMArena Text: French | 1263 | Not measured | Only GPT-4o (2024-08-06) measured |
| LMArena Text: Spanish | 1269 | Not measured | Only GPT-4o (2024-08-06) measured |
| LMArena Text: Russian | 1272 | Not measured | Only GPT-4o (2024-08-06) measured |
| LMArena Text: multi-turn | 1279 | Not measured | Only GPT-4o (2024-08-06) measured |
| LMArena Text: longer queries | 1283 | Not measured | Only GPT-4o (2024-08-06) measured |
| LMArena Text: writing and language | 1290 | Not measured | Only GPT-4o (2024-08-06) measured |
| LMArena Text: entertainment and media | 1267 | Not measured | Only GPT-4o (2024-08-06) measured |
| LMArena Vision: English | 1072 | Not measured | Only GPT-4o (2024-08-06) measured |
| LMArena Vision: Chinese | 1009 | Not measured | Only GPT-4o (2024-08-06) measured |
| Neither model has a result on the other 27 boards here | |||
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | GPT-4o (2024-08-06) | Qwen3 Coder 30B A3B Instruct | 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 30B A3B Instruct costs less
Repository review
50K input + 3K output tokens
Qwen3 Coder 30B A3B Instruct costs less
Agent loop
200K input + 10K output tokens
Qwen3 Coder 30B A3B Instruct 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 (2024-08-06) | Qwen3 Coder 30B A3B Instruct |
|---|---|---|
| Maker | OpenAI | Qwen |
| Weights | No public weights listed | Open weights |
| Released | August 6, 2024 | July 31, 2025 |
| Context window | 128K | 262K |
| Input $/Mtok | $2.50 | $0.11 |
| Output $/Mtok | $10.00 | $0.44 |
| Coding index | Not benchmarked | Not benchmarked |
| Independent measurements behind it | 0 | 0 |
| Cost per solved task | Not computable | Not computable |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is GPT-4o (2024-08-06) better than Qwen3 Coder 30B A3B Instruct for coding?
Neither model has a coding score yet, so the two cannot be ranked on coding. Pick GPT-4o (2024-08-06) for work measured by SWE-bench Lite or LiveCodeBench (Artificial Analysis run), where it leads.
Which is cheaper, GPT-4o (2024-08-06) or Qwen3 Coder 30B A3B Instruct?
GPT-4o (2024-08-06) costs $2.50 per million input tokens and $10.00 per million output tokens; Qwen3 Coder 30B A3B Instruct costs $0.11 and $0.44. Cost per solved task is known for neither of them.
Which has the bigger context window, GPT-4o (2024-08-06) or Qwen3 Coder 30B A3B Instruct?
Qwen3 Coder 30B A3B Instruct, with 262K tokens against 128K.
How many benchmarks is the GPT-4o (2024-08-06) vs Qwen3 Coder 30B A3B Instruct comparison based on?
9 benchmarks have a result for both models as of October 22, 2026. GPT-4o (2024-08-06)'s coding index rests on 0 independent benchmarks and Qwen3 Coder 30B A3B Instruct's on 0. Where only one model has a result, the page says so instead of naming a winner.