o3 Pro vs Qwen3 Next 80B A3B Thinking
o3 Pro leads Qwen3 Next 80B A3B Thinking on the Artificial Analysis Intelligence Index, 21.9 to 11.2, and Qwen3 Next 80B A3B Thinking costs 66.7x less per output token ($1.20 vs $80.00 per million). Updated October 22, 2026; 1 benchmarks have a result for both.
o3 Pro or Qwen3 Next 80B A3B Thinking: which to pick
Neither model has a coding score yet, so the two cannot be ranked on coding.
Compare them on price, context and the boards below.
- Shared results
- 1
- o3 Pro only
- 15
- Qwen3 Next 80B A3B Thinking only
- 29
- Like-for-like categories
- 1 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
o3 Pro
o3 Pro leads, 21.9 against 11.2.
Same board, both measured
Long documents
Listed context window
Qwen3 Next 80B A3B Thinking
Qwen3 Next 80B A3B Thinking takes 262K tokens against 200K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
Qwen3 Next 80B A3B Thinking
o3 Pro $0.060, Qwen3 Next 80B A3B Thinking $0.0008 per turn.
List prices
At a glance
- Coding index
- o3 Pro not benchmarked, Qwen3 Next 80B A3B Thinking not benchmarked.
- Widest category
- Intelligence, 10.7 points apart on average over 1 shared benchmark.
- Widest single gap
- AA Intelligence Index: o3 Pro 21.9 against Qwen3 Next 80B A3B Thinking 11.2, 10.7 points apart on a 0 to 100 scale.
- Output price
- o3 Pro $80.00 against Qwen3 Next 80B A3B Thinking $1.20 per million output tokens, 66.7x apart.
- Context window
- o3 Pro takes 200K tokens, Qwen3 Next 80B A3B Thinking 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 Pro | Bars | Qwen3 Next 80B A3B Thinking | Ties |
|---|---|---|---|---|
| Intelligence | 1 | 0 | ||
| All shared boards | 1 | 0 |
CodingDirectional onlySix of these boards feed the Vibe Coding Index5 boards, none shared
| Benchmark | o3 Pro | Qwen3 Next 80B A3B Thinking | Leader |
|---|---|---|---|
| Aider polyglot | 84.9% | Not measured | Only o3 Pro measured |
| AA Coding Index | Not measured | 17.4 | Only Qwen3 Next 80B A3B Thinking measured |
| WeirdML | 58.2% | Not measured | Only o3 Pro measured |
| LMArena Text: coding | Not measured | 1392 | Only Qwen3 Next 80B A3B Thinking measured |
| LMArena Text: software and IT | Not measured | 1393 | Only Qwen3 Next 80B A3B Thinking measured |
| Neither model has a result on the other 38 boards here | |||
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index10
| Benchmark | o3 Pro | Qwen3 Next 80B A3B Thinking | Leader |
|---|---|---|---|
| AA Intelligence Index | 21.9 | 11.2 | o3 Pro |
| Epoch Capabilities Index | 147.3 | Not measured | Only o3 Pro measured |
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index1 board, none shared
| Benchmark | o3 Pro | Qwen3 Next 80B A3B Thinking | Leader |
|---|---|---|---|
| MCP Atlas | 44.5% | Not measured | Only o3 Pro measured |
| Neither model has a result on the other 41 boards here | |||
ReasoningDirectional onlyPublic boards, shown as published, kept out of the index7 boards, none shared
| Benchmark | o3 Pro | Qwen3 Next 80B A3B Thinking | Leader |
|---|---|---|---|
| GPQA Diamond (Artificial Analysis run) | 84.5% | Not measured | Only o3 Pro measured |
| ARC-AGI | 59.3% | Not measured | Only o3 Pro measured |
| ARC-AGI-2 | 4.9% | Not measured | Only o3 Pro measured |
| LMArena Text: hard prompts | Not measured | 1371 | Only Qwen3 Next 80B A3B Thinking measured |
| LMArena Text: expert | Not measured | 1376 | Only Qwen3 Next 80B A3B Thinking measured |
| LMArena Text: hard prompts in English | Not measured | 1384 | Only Qwen3 Next 80B A3B Thinking measured |
| Kagi LLM Benchmark | 72.1% | Not measured | Only o3 Pro measured |
| Neither model has a result on the other 16 boards here | |||
MathDirectional onlyPublic boards, shown as published, kept out of the index2 boards, none shared
| Benchmark | o3 Pro | Qwen3 Next 80B A3B Thinking | Leader |
|---|---|---|---|
| LMArena Text: math | Not measured | 1399 | Only Qwen3 Next 80B A3B Thinking measured |
| LMArena Text: mathematical work | Not measured | 1390 | Only Qwen3 Next 80B A3B Thinking measured |
| Neither model has a result on the other 12 boards here | |||
KnowledgeDirectional onlyPublic boards, shown as published, kept out of the index6 boards, none shared
| Benchmark | o3 Pro | Qwen3 Next 80B A3B Thinking | Leader |
|---|---|---|---|
| LMArena Text: science | Not measured | 1384 | Only Qwen3 Next 80B A3B Thinking measured |
| LMArena Text: medicine and healthcare | Not measured | 1392 | Only Qwen3 Next 80B A3B Thinking measured |
| LMArena Text: legal and government | Not measured | 1364 | Only Qwen3 Next 80B A3B Thinking measured |
| LMArena Text: business and finance | Not measured | 1360 | Only Qwen3 Next 80B A3B Thinking measured |
| PRBench Finance | 49.1% | Not measured | Only o3 Pro measured |
| PRBench Legal | 49.7% | Not measured | Only o3 Pro measured |
| Neither model has a result on the other 14 boards here | |||
Web designNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | o3 Pro | Qwen3 Next 80B A3B Thinking | Leader |
|---|---|---|---|
| Neither model has a result on 9 boards here | |||
GeneralDirectional onlyPublic boards, shown as published, kept out of the index22 boards, none shared
| Benchmark | o3 Pro | Qwen3 Next 80B A3B Thinking | Leader |
|---|---|---|---|
| DTBench | 86.9% | Not measured | Only o3 Pro measured |
| LMCA | 38.5% | Not measured | Only o3 Pro measured |
| Fiction.LiveBench | 97.2% | Not measured | Only o3 Pro measured |
| Creative writing (Lech Mazur) | 84.4% | Not measured | Only o3 Pro measured |
| LMArena Text | Not measured | 1368 | Only Qwen3 Next 80B A3B Thinking measured |
| LMArena Text: instruction following | Not measured | 1344 | Only Qwen3 Next 80B A3B Thinking measured |
| LMArena Text: creative writing | Not measured | 1314 | Only Qwen3 Next 80B A3B Thinking measured |
| LMArena Text: English | Not measured | 1392 | Only Qwen3 Next 80B A3B Thinking measured |
| LMArena Text: non-English | Not measured | 1342 | Only Qwen3 Next 80B A3B Thinking measured |
| LMArena Text: Chinese | Not measured | 1407 | Only Qwen3 Next 80B A3B Thinking measured |
| LMArena Text: German | Not measured | 1356 | Only Qwen3 Next 80B A3B Thinking measured |
| LMArena Text: Japanese | Not measured | 1280 | Only Qwen3 Next 80B A3B Thinking measured |
| LMArena Text: Korean | Not measured | 1310 | Only Qwen3 Next 80B A3B Thinking measured |
| LMArena Text: French | Not measured | 1351 | Only Qwen3 Next 80B A3B Thinking measured |
| LMArena Text: Spanish | Not measured | 1358 | Only Qwen3 Next 80B A3B Thinking measured |
| LMArena Text: Russian | Not measured | 1337 | Only Qwen3 Next 80B A3B Thinking measured |
| LMArena Text: Polish | Not measured | 1345 | Only Qwen3 Next 80B A3B Thinking measured |
| LMArena Text: multi-turn | Not measured | 1346 | Only Qwen3 Next 80B A3B Thinking measured |
| LMArena Text: longer queries | Not measured | 1353 | Only Qwen3 Next 80B A3B Thinking measured |
| LMArena Text: writing and language | Not measured | 1330 | Only Qwen3 Next 80B A3B Thinking measured |
| LMArena Text: entertainment and media | Not measured | 1312 | Only Qwen3 Next 80B A3B Thinking measured |
| MultiChallenge | 62.4% | Not measured | Only o3 Pro measured |
| Neither model has a result on the other 26 boards here | |||
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | o3 Pro | Qwen3 Next 80B A3B Thinking | 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 Next 80B A3B Thinking costs less
Repository review
50K input + 3K output tokens
Qwen3 Next 80B A3B Thinking costs less
Agent loop
200K input + 10K output tokens
Qwen3 Next 80B A3B Thinking 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 Pro | Qwen3 Next 80B A3B Thinking |
|---|---|---|
| Maker | OpenAI | Qwen |
| Weights | No public weights listed | Open weights |
| Released | June 10, 2025 | September 11, 2025 |
| Context window | 200K | 262K |
| Input $/Mtok | $20.00 | $0.15 |
| Output $/Mtok | $80.00 | $1.20 |
| 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 o3 Pro better than Qwen3 Next 80B A3B Thinking for coding?
Neither model has a coding score yet, so the two cannot be ranked on coding. Compare them on price, context and the boards below.
Which is cheaper, o3 Pro or Qwen3 Next 80B A3B Thinking?
o3 Pro costs $20.00 per million input tokens and $80.00 per million output tokens; Qwen3 Next 80B A3B Thinking costs $0.15 and $1.20. Cost per solved task is known for neither of them.
Which has the bigger context window, o3 Pro or Qwen3 Next 80B A3B Thinking?
Qwen3 Next 80B A3B Thinking, with 262K tokens against 200K.
How many benchmarks is the o3 Pro vs Qwen3 Next 80B A3B Thinking comparison based on?
1 benchmarks have a result for both models as of October 22, 2026. o3 Pro's coding index rests on 0 independent benchmarks and Qwen3 Next 80B A3B Thinking's on 0. Where only one model has a result, the page says so instead of naming a winner.