o1-pro vs Qwen3 VL 30B A3B Thinking
o1-pro leads Qwen3 VL 30B A3B Thinking on the Artificial Analysis Intelligence Index, 12.4 to 9.5, and Qwen3 VL 30B A3B Thinking costs 600.0x less per output token ($1.00 vs $600.00 per million). Updated October 22, 2026; 1 benchmarks have a result for both.
o1-pro or Qwen3 VL 30B 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
- o1-pro only
- 1
- Qwen3 VL 30B A3B Thinking only
- 0
- 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
o1-pro
o1-pro leads, 12.4 against 9.5.
Same board, both measured
Long documents
Listed context window
Qwen3 VL 30B A3B Thinking
Qwen3 VL 30B A3B Thinking takes 262K tokens against 200K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
Qwen3 VL 30B A3B Thinking
o1-pro $0.450, Qwen3 VL 30B A3B Thinking $0.0008 per turn.
List prices
At a glance
- Coding index
- o1-pro not benchmarked, Qwen3 VL 30B A3B Thinking not benchmarked.
- Widest category
- Intelligence, 2.9 points apart on average over 1 shared benchmark.
- Widest single gap
- AA Intelligence Index: o1-pro 12.4 against Qwen3 VL 30B A3B Thinking 9.5, 2.9 points apart on a 0 to 100 scale.
- Output price
- o1-pro $600.00 against Qwen3 VL 30B A3B Thinking $1.00 per million output tokens, 600.0x apart.
- Context window
- o1-pro takes 200K tokens, Qwen3 VL 30B 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 | o1-pro | Bars | Qwen3 VL 30B A3B Thinking | Ties |
|---|---|---|---|---|
| Intelligence | 1 | 0 | ||
| All shared boards | 1 | 0 |
CodingNot comparableSix of these boards feed the Vibe Coding Index0 boards, none shared
| Benchmark | o1-pro | Qwen3 VL 30B A3B Thinking | Leader |
|---|---|---|---|
| Neither model has a result on 39 boards here | |||
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index10
| Benchmark | o1-pro | Qwen3 VL 30B A3B Thinking | Leader |
|---|---|---|---|
| AA Intelligence Index | 12.4 | 9.5 | o1-pro |
| Neither model has a result on the other 1 board here | |||
Agentic workNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | o1-pro | Qwen3 VL 30B A3B Thinking | Leader |
|---|---|---|---|
| Neither model has a result on 41 boards here | |||
ReasoningDirectional onlyPublic boards, shown as published, kept out of the index1 board, none shared
| Benchmark | o1-pro | Qwen3 VL 30B A3B Thinking | Leader |
|---|---|---|---|
| ARC-AGI | 23.3% | Not measured | Only o1-pro measured |
| Neither model has a result on the other 21 boards here | |||
MathNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | o1-pro | Qwen3 VL 30B A3B Thinking | Leader |
|---|---|---|---|
| Neither model has a result on 13 boards here | |||
KnowledgeNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | o1-pro | Qwen3 VL 30B A3B Thinking | Leader |
|---|---|---|---|
| Neither model has a result on 18 boards here | |||
Web designNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | o1-pro | Qwen3 VL 30B A3B Thinking | Leader |
|---|---|---|---|
| Neither model has a result on 9 boards here | |||
GeneralNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | o1-pro | Qwen3 VL 30B A3B Thinking | Leader |
|---|---|---|---|
| Neither model has a result on 46 boards here | |||
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | o1-pro | Qwen3 VL 30B 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 VL 30B A3B Thinking costs less
Repository review
50K input + 3K output tokens
Qwen3 VL 30B A3B Thinking costs less
Agent loop
200K input + 10K output tokens
Qwen3 VL 30B 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 o1-pro | Qwen3 VL 30B A3B Thinking |
|---|---|---|
| Maker | OpenAI | Qwen |
| Weights | No public weights listed | Open weights |
| Released | March 19, 2025 | October 6, 2025 |
| Context window | 200K | 262K |
| Input $/Mtok | $150.00 | $0.29 |
| Output $/Mtok | $600.00 | $1.00 |
| 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 o1-pro better than Qwen3 VL 30B 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, o1-pro or Qwen3 VL 30B A3B Thinking?
o1-pro costs $150.00 per million input tokens and $600.00 per million output tokens; Qwen3 VL 30B A3B Thinking costs $0.29 and $1.00. Cost per solved task is known for neither of them.
Which has the bigger context window, o1-pro or Qwen3 VL 30B A3B Thinking?
Qwen3 VL 30B A3B Thinking, with 262K tokens against 200K.
How many benchmarks is the o1-pro vs Qwen3 VL 30B A3B Thinking comparison based on?
1 benchmarks have a result for both models as of October 22, 2026. o1-pro's coding index rests on 0 independent benchmarks and Qwen3 VL 30B A3B Thinking's on 0. Where only one model has a result, the page says so instead of naming a winner.