o1 vs Qwen3 Coder 480B A35B
o1 leads Qwen3 Coder 480B A35B on the Artificial Analysis Intelligence Index, 15.2 to 11.9, and Qwen3 Coder 480B A35B costs 40.0x less per output token ($1.50 vs $60.00 per million). Updated October 21, 2026; 37 benchmarks have a result for both.
o1 or Qwen3 Coder 480B A35B: which to pick
Neither model has a coding score yet, so the two cannot be ranked on coding.
Pick o1 for work measured by Terminal-Bench Hard (Artificial Analysis run) or LMArena Text: coding, where it leads.
- Shared results
- 37
- o1 only
- 32
- Qwen3 Coder 480B A35B only
- 16
- Like-for-like categories
- 7 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
o1
o1 leads, 15.2 against 11.9.
Same board, both measured
Reasoning
GPQA Diamond
No call
Only o1 has a GPQA Diamond result, 73.2%.
Directional only
Math
AIME
No call
Only o1 has a AIME result, 71.5%.
Directional only
Knowledge
MMLU Pro
No call
Only o1 has a MMLU Pro result, 83.5%.
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
o1 $0.045, Qwen3 Coder 480B A35B $0.0010 per turn.
List prices
At a glance
- Coding index
- o1 not benchmarked, Qwen3 Coder 480B A35B not benchmarked.
- Widest category
- Agentic work, 19.0 points apart on average over 1 shared benchmark.
- Widest single gap
- IFBench: o1 70.3% against Qwen3 Coder 480B A35B 40.5%, 29.9 points apart on a 0 to 100 scale.
- Output price
- o1 $60.00 against Qwen3 Coder 480B A35B $1.50 per million output tokens, 40.0x apart.
- Context window
- o1 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 | o1 | Bars | Qwen3 Coder 480B A35B | Ties |
|---|---|---|---|---|
| Coding | 2 | 3 | ||
| Intelligence | 1 | 0 | ||
| Agentic work | 1 | 0 | ||
| Reasoning | 3 | 2 | ||
| Math | 2 | 0 | ||
| Knowledge | 4 | 1 | ||
| General | 13 | 5 | ||
| All shared boards | 26 | 11 |
CodingLike-for-likeSix of these boards feed the Vibe Coding Index23
| Benchmark | o1 | Qwen3 Coder 480B A35B | Leader |
|---|---|---|---|
| Aider polyglot | 61.7% | Not measured | Only o1 measured |
| SWE-bench Verified | Not measured | 69.6% | Only Qwen3 Coder 480B A35B measured |
| LMArena WebDev | Not measured | 1275 | Only Qwen3 Coder 480B A35B measured |
| AA Coding Index | 39.7 | Not measured | Only o1 measured |
| LiveCodeBench (Vals AI) | 50.3% | Not measured | Only o1 measured |
| LiveCodeBench (Artificial Analysis run) | 67.9% | 58.5% | o1 |
| Terminal-Bench Hard (Artificial Analysis run) | 12.9% | 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 | 46.1% | 41.2% | o1 |
| ALE-Bench | Not measured | 461.4 | Only Qwen3 Coder 480B A35B measured |
| LMArena Text: coding | 1367 | 1412 | Qwen3 Coder 480B A35B |
| LMArena Text: software and IT | 1366 | 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 |
| SciCode | 4.6% | Not measured | Only o1 measured |
| Neither model has a result on the other 23 boards here | |||
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index10
| Benchmark | o1 | Qwen3 Coder 480B A35B | Leader |
|---|---|---|---|
| AA Intelligence Index | 15.2 | 11.9 | o1 |
| Epoch Capabilities Index | 141.7 | Not measured | Only o1 measured |
Agentic workLike-for-likePublic boards, shown as published, kept out of the index10
| Benchmark | o1 | Qwen3 Coder 480B A35B | Leader |
|---|---|---|---|
| τ²-Bench Telecom | 62.6% | 43.6% | o1 |
| METR time horizons | 51.1% | Not measured | Only o1 measured |
| Neither model has a result on the other 39 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index32
| Benchmark | o1 | Qwen3 Coder 480B A35B | Leader |
|---|---|---|---|
| GPQA Diamond | 73.2% | Not measured | Only o1 measured |
| MMMU Pro (Vals AI) | 77.4% | Not measured | Only o1 measured |
| GPQA Diamond (Artificial Analysis run) | 74.7% | 61.8% | o1 |
| Humanity's Last Exam (Artificial Analysis run) | 7.0% | 4.5% | o1 |
| GPQA Diamond (Epoch AI run) | 76.8% | Not measured | Only o1 measured |
| ARC-AGI | 30.7% | Not measured | Only o1 measured |
| SimpleBench | 40.1% | Not measured | Only o1 measured |
| Chess puzzles | 10.0% | Not measured | Only o1 measured |
| VPCT | 37.0% | Not measured | Only o1 measured |
| LMArena Text: hard prompts | 1371 | 1372 | Qwen3 Coder 480B A35B |
| LMArena Text: expert | 1361 | 1338 | o1 |
| LMArena Text: hard prompts in English | 1372 | 1380 | Qwen3 Coder 480B A35B |
| Kagi LLM Benchmark | Not measured | 49.5% | Only Qwen3 Coder 480B A35B measured |
| Neither model has a result on the other 9 boards here | |||
MathLike-for-likePublic boards, shown as published, kept out of the index20
| Benchmark | o1 | Qwen3 Coder 480B A35B | Leader |
|---|---|---|---|
| AIME | 71.5% | Not measured | Only o1 measured |
| MATH 500 (Vals AI) | 90.4% | Not measured | Only o1 measured |
| MGSM (Vals AI) | 89.3% | Not measured | Only o1 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 | 73.3% | Not measured | Only o1 measured |
| FrontierMath, tiers 1 to 3 | 14.7% | Not measured | Only o1 measured |
| MATH level 5 | 94.7% | Not measured | Only o1 measured |
| LMArena Text: math | 1388 | 1365 | o1 |
| LMArena Text: mathematical work | 1390 | 1367 | o1 |
| Neither model has a result on the other 3 boards here | |||
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index41
| Benchmark | o1 | Qwen3 Coder 480B A35B | Leader |
|---|---|---|---|
| MMLU Pro | 83.5% | Not measured | Only o1 measured |
| LegalBench (Vals AI) | 80.4% | Not measured | Only o1 measured |
| TaxEval (Vals AI) | 74.3% | Not measured | Only o1 measured |
| MedQA (Vals AI) | 96.5% | Not measured | Only o1 measured |
| MMLU Pro (Artificial Analysis run) | 84.1% | 78.8% | o1 |
| SimpleQA Verified | 41.1% | Not measured | Only o1 measured |
| GeoBench | 80.0% | Not measured | Only o1 measured |
| LMArena Text: science | 1369 | 1347 | o1 |
| LMArena Text: medicine and healthcare | 1355 | 1347 | o1 |
| LMArena Text: legal and government | 1368 | 1358 | o1 |
| LMArena Text: business and finance | 1328 | 1343 | Qwen3 Coder 480B A35B |
| Neither model has a result on the other 7 boards here | |||
Web designDirectional onlyPublic boards, shown as published, kept out of the index5 boards, none shared
| Benchmark | o1 | Qwen3 Coder 480B A35B | Leader |
|---|---|---|---|
| Design Arena: websites | Not measured | 1159 | Only Qwen3 Coder 480B A35B measured |
| Design Arena: UI components | Not measured | 1113 | 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 index135
| Benchmark | o1 | Qwen3 Coder 480B A35B | Leader |
|---|---|---|---|
| IFBench | 70.3% | 40.5% | o1 |
| Long context reasoning (AA-LCR) | 65.0% | 45.7% | o1 |
| DTBench | 74.7% | Not measured | Only o1 measured |
| LMCA | 22.3% | Not measured | Only o1 measured |
| Fiction.LiveBench | 83.3% | Not measured | Only o1 measured |
| Creative writing (Lech Mazur) | 70.2% | Not measured | Only o1 measured |
| LMArena Text | 1366 | 1357 | o1 |
| LMArena Text: instruction following | 1367 | 1355 | o1 |
| LMArena Text: creative writing | 1347 | 1333 | o1 |
| LMArena Vision | 1168 | Not measured | Only o1 measured |
| LMArena Text: English | 1372 | 1359 | o1 |
| LMArena Text: non-English | 1358 | 1346 | o1 |
| LMArena Text: Chinese | 1394 | 1357 | o1 |
| LMArena Text: German | 1337 | 1325 | o1 |
| LMArena Text: Japanese | 1346 | 1311 | o1 |
| LMArena Text: Korean | 1396 | 1305 | o1 |
| LMArena Text: French | 1344 | 1398 | Qwen3 Coder 480B A35B |
| LMArena Text: Spanish | 1345 | 1360 | Qwen3 Coder 480B A35B |
| LMArena Text: Russian | 1356 | 1366 | Qwen3 Coder 480B A35B |
| LMArena Text: Polish | Not measured | 1344 | Only Qwen3 Coder 480B A35B measured |
| LMArena Text: multi-turn | 1355 | 1366 | Qwen3 Coder 480B A35B |
| LMArena Text: longer queries | 1378 | 1378 | Qwen3 Coder 480B A35B |
| LMArena Text: writing and language | 1360 | 1340 | o1 |
| LMArena Text: entertainment and media | 1358 | 1317 | o1 |
| LMArena Vision: English | 1162 | Not measured | Only o1 measured |
| LMArena Vision: Chinese | 1235 | Not measured | Only o1 measured |
| Neither model has a result on the other 20 boards here | |||
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | o1 | 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 o1 | Qwen3 Coder 480B A35B |
|---|---|---|
| Maker | OpenAI | Qwen |
| Weights | No public weights listed | Open weights |
| Released | December 17, 2024 | July 23, 2025 |
| Context window | 200K | 262K |
| Input $/Mtok | $15.00 | $0.30 |
| Output $/Mtok | $60.00 | $1.50 |
| Coding index | Not benchmarked | Not benchmarked |
| Independent measurements behind it | 0 | 1 |
| Cost per solved task | Not computable | Not computable |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is o1 better than Qwen3 Coder 480B A35B for coding?
Neither model has a coding score yet, so the two cannot be ranked on coding. Pick o1 for work measured by Terminal-Bench Hard (Artificial Analysis run) or LMArena Text: coding, where it leads.
Which is cheaper, o1 or Qwen3 Coder 480B A35B?
o1 costs $15.00 per million input tokens and $60.00 per million output tokens; Qwen3 Coder 480B A35B costs $0.30 and $1.50. Cost per solved task is known for neither of them.
Which has the bigger context window, o1 or Qwen3 Coder 480B A35B?
Qwen3 Coder 480B A35B, with 262K tokens against 200K.
How many benchmarks is the o1 vs Qwen3 Coder 480B A35B comparison based on?
37 benchmarks have a result for both models as of October 21, 2026. o1's coding index rests on 0 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.