o3 Mini vs Qwen3 Coder 480B A35B
Updated October 21, 2026. 40 benchmarks have a result for both. Coding is ranked on the Vibe Coding Index; every other board is shown as published.
Decision reading
Pick o3 Mini for coding: it scores 52.1 on the Vibe Coding Index against 50.0 for Qwen3 Coder 480B A35B.
Pick Qwen3 Coder 480B A35B when output tokens cost 4.4x less, or when the context window is larger, 262K against 200K tokens.
- Shared results
- 40
- o3 Mini only
- 30
- Qwen3 Coder 480B A35B only
- 12
- 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
o3 Mini
o3 Mini scores 52.1 against 50.0.
2 benchmarks behind each score
Intelligence
AA Intelligence Index
o3 Mini
o3 Mini leads, 12.5 against 11.9.
Same board, both measured
Reasoning
GPQA Diamond
No call
Only o3 Mini has a GPQA Diamond result, 75.5%.
Directional only
Math
AIME
No call
Only o3 Mini has a AIME result, 86.5%.
Directional only
Knowledge
MMLU Pro
No call
Only o3 Mini has a MMLU Pro result, 78.7%.
Directional only
Web design
Design Arena: websites
No call
Only Qwen3 Coder 480B A35B has a Design Arena: websites result, 1159.
Directional only
Long documents
Listed context window
Qwen3 Coder 480B A35B
Qwen3 Coder 480B A35B takes 262K tokens against 200K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
Qwen3 Coder 480B A35B
o3 Mini $0.0033, Qwen3 Coder 480B A35B $0.0008 per turn.
List prices
At a glance
- Coding index
- o3 Mini 52.1 from 2 benchmarks, Qwen3 Coder 480B A35B 50.0 from 2 benchmarks.
- Widest category
- Agentic work, 12.3 points apart on average over 1 shared benchmark.
- Widest single gap
- SWE-bench Verified: o3 Mini 42.4% against Qwen3 Coder 480B A35B 69.6%, 27.2 points apart on a 0 to 100 scale.
- Output price
- o3 Mini $4.40 against Qwen3 Coder 480B A35B $1.00 per million output tokens, 4.4x apart.
- Context window
- o3 Mini takes 200K 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 | o3 Mini | Bars | Qwen3 Coder 480B A35B | Ties |
|---|---|---|---|---|
| Coding | 2 | 5 | ||
| Intelligence | 1 | 0 | ||
| Agentic work | 0 | 1 | ||
| Reasoning | 3 | 2 | ||
| Math | 2 | 0 | ||
| Knowledge | 1 | 4 | ||
| General | 3 | 16 | ||
| All shared boards | 12 | 28 |
CodingLike-for-likeFour of these boards feed the Vibe Coding Index25
| Benchmark | o3 Mini | Qwen3 Coder 480B A35B | Leader |
|---|---|---|---|
| Aider polyglot | 60.4% | Not measured | Only o3 Mini measured |
| SWE-bench Verified | 42.4% | 69.6% | Qwen3 Coder 480B A35B |
| SWE-bench Lite | 32.3% | Not measured | Only o3 Mini measured |
| LMArena WebDev | Not measured | 1275 | Only Qwen3 Coder 480B A35B measured |
| LiveCodeBench (Vals AI) | 71.5% | Not measured | Only o3 Mini measured |
| LiveCodeBench (Artificial Analysis run) | 73.4% | 58.5% | o3 Mini |
| SciCode | 42.8% | Not measured | Only o3 Mini measured |
| Terminal-Bench Hard (Artificial Analysis run) | 6.8% | 18.9% | Qwen3 Coder 480B A35B |
| Terminal-Bench | Not measured | 27.2% | Only Qwen3 Coder 480B A35B measured |
| GSO-Bench | 1.3% | 4.9% | Qwen3 Coder 480B A35B |
| WeirdML | 43.7% | 41.2% | o3 Mini |
| Cybench | 22.5% | Not measured | Only o3 Mini measured |
| ALE-Bench | Not measured | 461.4 | Only Qwen3 Coder 480B A35B measured |
| LMArena Text: coding | 1378 | 1412 | Qwen3 Coder 480B A35B |
| LMArena Text: software and IT | 1364 | 1393 | Qwen3 Coder 480B A35B |
| 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 21 boards here | |||
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index10
| Benchmark | o3 Mini | Qwen3 Coder 480B A35B | Leader |
|---|---|---|---|
| AA Intelligence Index | 12.5 | 11.9 | o3 Mini |
| Epoch Capabilities Index | 140.2 | Not measured | Only o3 Mini measured |
Agentic workLike-for-likePublic boards, shown as published, kept out of the index01
| Benchmark | o3 Mini | Qwen3 Coder 480B A35B | Leader |
|---|---|---|---|
| τ²-Bench Telecom | 31.3% | 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 index32
| Benchmark | o3 Mini | Qwen3 Coder 480B A35B | Leader |
|---|---|---|---|
| GPQA Diamond | 75.5% | Not measured | Only o3 Mini measured |
| GPQA Diamond (Artificial Analysis run) | 77.3% | 61.8% | o3 Mini |
| Humanity's Last Exam (Artificial Analysis run) | 12.0% | 4.5% | o3 Mini |
| GPQA Diamond (Epoch AI run) | 77.0% | Not measured | Only o3 Mini measured |
| ARC-AGI | 34.5% | Not measured | Only o3 Mini measured |
| ARC-AGI-2 | 3.0% | Not measured | Only o3 Mini measured |
| SimpleBench | 22.8% | Not measured | Only o3 Mini measured |
| Chess puzzles | 15.0% | Not measured | Only o3 Mini measured |
| Mystery game puzzles | 7.0% | Not measured | Only o3 Mini measured |
| LMArena Text: hard prompts | 1365 | 1372 | Qwen3 Coder 480B A35B |
| LMArena Text: expert | 1364 | 1338 | o3 Mini |
| LMArena Text: hard prompts in English | 1375 | 1380 | Qwen3 Coder 480B A35B |
| Neither model has a result on the other 9 boards here | |||
MathLike-for-likePublic boards, shown as published, kept out of the index20
| Benchmark | o3 Mini | Qwen3 Coder 480B A35B | Leader |
|---|---|---|---|
| AIME | 86.5% | Not measured | Only o3 Mini measured |
| MATH 500 (Vals AI) | 91.8% | Not measured | Only o3 Mini measured |
| MGSM (Vals AI) | 91.3% | Not measured | Only o3 Mini measured |
| AA Math Index | Not measured | 39.3 | Only Qwen3 Coder 480B A35B measured |
| AIME 2025 (Artificial Analysis run) | Not measured | 39.3% | Only Qwen3 Coder 480B A35B measured |
| OTIS Mock AIME | 76.9% | Not measured | Only o3 Mini measured |
| FrontierMath, tiers 1 to 3 | 18.6% | Not measured | Only o3 Mini measured |
| FrontierMath, tier 4 | 0.0% | Not measured | Only o3 Mini measured |
| MATH level 5 | 96.5% | Not measured | Only o3 Mini measured |
| LMArena Text: math | 1396 | 1365 | o3 Mini |
| LMArena Text: mathematical work | 1399 | 1367 | o3 Mini |
| Neither model has a result on the other 2 boards here | |||
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index14
| Benchmark | o3 Mini | Qwen3 Coder 480B A35B | Leader |
|---|---|---|---|
| MMLU Pro | 78.7% | Not measured | Only o3 Mini measured |
| LegalBench (Vals AI) | 71.5% | Not measured | Only o3 Mini measured |
| CorpFin (Vals AI) | 45.3% | Not measured | Only o3 Mini measured |
| TaxEval (Vals AI) | 69.4% | Not measured | Only o3 Mini measured |
| MedQA (Vals AI) | 94.8% | Not measured | Only o3 Mini measured |
| MMLU Pro (Artificial Analysis run) | 80.2% | 78.8% | o3 Mini |
| SimpleQA Verified | 15.3% | Not measured | Only o3 Mini measured |
| LMArena Text: science | 1339 | 1347 | Qwen3 Coder 480B A35B |
| LMArena Text: medicine and healthcare | 1330 | 1347 | Qwen3 Coder 480B A35B |
| LMArena Text: legal and government | 1328 | 1358 | Qwen3 Coder 480B A35B |
| LMArena Text: business and finance | 1313 | 1343 | Qwen3 Coder 480B A35B |
| Neither model has a result on the other 6 boards here | |||
Web designDirectional onlyPublic boards, shown as published, kept out of the index5 boards, none shared
| Benchmark | o3 Mini | Qwen3 Coder 480B A35B | Leader |
|---|---|---|---|
| Design Arena: websites | Not measured | 1159 | Only Qwen3 Coder 480B A35B measured |
| Design Arena: UI components | Not measured | 1112 | Only Qwen3 Coder 480B A35B measured |
| Design Arena: game dev | Not measured | 1099 | Only Qwen3 Coder 480B A35B measured |
| Design Arena: data viz | Not measured | 1084 | Only Qwen3 Coder 480B A35B measured |
| Design Arena: all code categories | Not measured | 1143 | Only 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 index316
| Benchmark | o3 Mini | Qwen3 Coder 480B A35B | Leader |
|---|---|---|---|
| IFBench | 67.1% | 40.5% | o3 Mini |
| Long context reasoning (AA-LCR) | 43.0% | 45.7% | Qwen3 Coder 480B A35B |
| DTBench | 68.8% | Not measured | Only o3 Mini measured |
| LMCA | 19.0% | Not measured | Only o3 Mini measured |
| Fiction.LiveBench | 50.0% | Not measured | Only o3 Mini measured |
| Creative writing (Lech Mazur) | 61.7% | Not measured | Only o3 Mini measured |
| LMArena Text | 1337 | 1357 | Qwen3 Coder 480B A35B |
| LMArena Text: instruction following | 1337 | 1355 | Qwen3 Coder 480B A35B |
| LMArena Text: creative writing | 1286 | 1333 | Qwen3 Coder 480B A35B |
| LMArena Text: English | 1351 | 1359 | Qwen3 Coder 480B A35B |
| LMArena Text: non-English | 1319 | 1346 | Qwen3 Coder 480B A35B |
| LMArena Text: Chinese | 1379 | 1357 | o3 Mini |
| LMArena Text: German | 1303 | 1325 | Qwen3 Coder 480B A35B |
| LMArena Text: Japanese | 1286 | 1311 | Qwen3 Coder 480B A35B |
| LMArena Text: Korean | 1313 | 1305 | o3 Mini |
| LMArena Text: French | 1334 | 1398 | Qwen3 Coder 480B A35B |
| LMArena Text: Spanish | 1321 | 1360 | Qwen3 Coder 480B A35B |
| LMArena Text: Russian | 1304 | 1366 | Qwen3 Coder 480B A35B |
| LMArena Text: Polish | 1294 | 1344 | Qwen3 Coder 480B A35B |
| LMArena Text: multi-turn | 1320 | 1366 | Qwen3 Coder 480B A35B |
| LMArena Text: longer queries | 1343 | 1378 | Qwen3 Coder 480B A35B |
| LMArena Text: writing and language | 1313 | 1340 | Qwen3 Coder 480B A35B |
| LMArena Text: entertainment and media | 1283 | 1317 | Qwen3 Coder 480B A35B |
| Neither model has a result on the other 23 boards here | |||
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | o3 Mini | 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 o3 Mini | Qwen3 Coder 480B A35B |
|---|---|---|
| Maker | OpenAI | Qwen |
| Weights | No public weights listed | Open weights |
| Released | January 31, 2025 | July 23, 2025 |
| Context window | 200K | 262K |
| Input $/Mtok | $1.10 | $0.30 |
| Output $/Mtok | $4.40 | $1.00 |
| Coding index | 52.1 | 50.0 |
| Independent measurements behind it | 2 | 2 |
| Cost per solved task | Not computable | Not computable |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is o3 Mini better than Qwen3 Coder 480B A35B for coding?
Pick o3 Mini for coding: it scores 52.1 on the Vibe Coding Index against 50.0 for Qwen3 Coder 480B A35B. Pick Qwen3 Coder 480B A35B when output tokens cost 4.4x less, or when the context window is larger, 262K against 200K tokens.
Which is cheaper, o3 Mini or Qwen3 Coder 480B A35B?
o3 Mini costs $1.10 per million input tokens and $4.40 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, o3 Mini or Qwen3 Coder 480B A35B?
Qwen3 Coder 480B A35B, with 262K tokens against 200K.
How many benchmarks is the o3 Mini vs Qwen3 Coder 480B A35B comparison based on?
40 benchmarks have a result for both models as of October 21, 2026. o3 Mini'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.