o3 Mini High vs Qwen3 VL 30B A3B Instruct
o3 Mini High leads Qwen3 VL 30B A3B Instruct on the Artificial Analysis Intelligence Index, 11.0 to 7.9, and Qwen3 VL 30B A3B Instruct costs 6.3x less per output token ($0.70 vs $4.40 per million). Updated October 22, 2026; 1 benchmarks have a result for both.
o3 Mini High or Qwen3 VL 30B A3B Instruct: 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 Mini High only
- 2
- Qwen3 VL 30B A3B Instruct only
- 9
- 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 Mini High
o3 Mini High leads, 11.0 against 7.9.
Same board, both measured
Agentic work
AA Agentic Index
No call
Only o3 Mini High has a AA Agentic Index result, 0.9.
Directional only
Long documents
Listed context window
Qwen3 VL 30B A3B Instruct
Qwen3 VL 30B A3B Instruct takes 262K tokens against 200K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
Qwen3 VL 30B A3B Instruct
o3 Mini High $0.0033, Qwen3 VL 30B A3B Instruct $0.0006 per turn.
List prices
At a glance
- Coding index
- o3 Mini High not benchmarked, Qwen3 VL 30B A3B Instruct not benchmarked.
- Widest category
- Intelligence, 3.1 points apart on average over 1 shared benchmark.
- Widest single gap
- AA Intelligence Index: o3 Mini High 11.0 against Qwen3 VL 30B A3B Instruct 7.9, 3.1 points apart on a 0 to 100 scale.
- Output price
- o3 Mini High $4.40 against Qwen3 VL 30B A3B Instruct $0.70 per million output tokens, 6.3x apart.
- Context window
- o3 Mini High takes 200K tokens, Qwen3 VL 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 | o3 Mini High | Bars | Qwen3 VL 30B A3B Instruct | Ties |
|---|---|---|---|---|
| Intelligence | 1 | 0 | ||
| All shared boards | 1 | 0 |
CodingDirectional onlySix of these boards feed the Vibe Coding Index3 boards, none shared
| Benchmark | o3 Mini High | Qwen3 VL 30B A3B Instruct | Leader |
|---|---|---|---|
| AA Coding Index | 16.3 | Not measured | Only o3 Mini High measured |
| LiveCodeBench (Artificial Analysis run) | Not measured | 69.7% | Only Qwen3 VL 30B A3B Instruct measured |
| Terminal-Bench Hard (Artificial Analysis run) | Not measured | 6.1% | Only Qwen3 VL 30B A3B Instruct measured |
| Neither model has a result on the other 36 boards here | |||
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index10
| Benchmark | o3 Mini High | Qwen3 VL 30B A3B Instruct | Leader |
|---|---|---|---|
| AA Intelligence Index | 11.0 | 7.9 | o3 Mini High |
| Neither model has a result on the other 1 board here | |||
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index2 boards, none shared
| Benchmark | o3 Mini High | Qwen3 VL 30B A3B Instruct | Leader |
|---|---|---|---|
| AA Agentic Index | 0.9 | Not measured | Only o3 Mini High measured |
| τ²-Bench Telecom | Not measured | 19.9% | Only Qwen3 VL 30B A3B Instruct measured |
| Neither model has a result on the other 39 boards here | |||
ReasoningDirectional onlyPublic boards, shown as published, kept out of the index2 boards, none shared
| Benchmark | o3 Mini High | Qwen3 VL 30B A3B Instruct | Leader |
|---|---|---|---|
| GPQA Diamond (Artificial Analysis run) | Not measured | 72.0% | Only Qwen3 VL 30B A3B Instruct measured |
| Humanity's Last Exam (Artificial Analysis run) | Not measured | 8.9% | Only Qwen3 VL 30B A3B Instruct measured |
| Neither model has a result on the other 20 boards here | |||
MathDirectional onlyPublic boards, shown as published, kept out of the index2 boards, none shared
| Benchmark | o3 Mini High | Qwen3 VL 30B A3B Instruct | Leader |
|---|---|---|---|
| AA Math Index | Not measured | 82.3 | Only Qwen3 VL 30B A3B Instruct measured |
| AIME 2025 (Artificial Analysis run) | Not measured | 82.3% | Only Qwen3 VL 30B A3B Instruct measured |
| Neither model has a result on the other 11 boards here | |||
KnowledgeDirectional onlyPublic boards, shown as published, kept out of the index1 board, none shared
| Benchmark | o3 Mini High | Qwen3 VL 30B A3B Instruct | Leader |
|---|---|---|---|
| MMLU Pro (Artificial Analysis run) | Not measured | 80.7% | Only Qwen3 VL 30B A3B Instruct measured |
| Neither model has a result on the other 17 boards here | |||
Web designNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | o3 Mini High | Qwen3 VL 30B A3B Instruct | Leader |
|---|---|---|---|
| Neither model has a result on 9 boards here | |||
GeneralDirectional onlyPublic boards, shown as published, kept out of the index1 board, none shared
| Benchmark | o3 Mini High | Qwen3 VL 30B A3B Instruct | Leader |
|---|---|---|---|
| IFBench | Not measured | 45.1% | Only Qwen3 VL 30B A3B Instruct measured |
| Neither model has a result on the other 45 boards here | |||
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | o3 Mini High | Qwen3 VL 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 VL 30B A3B Instruct costs less
Repository review
50K input + 3K output tokens
Qwen3 VL 30B A3B Instruct costs less
Agent loop
200K input + 10K output tokens
Qwen3 VL 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 o3 Mini High | Qwen3 VL 30B A3B Instruct |
|---|---|---|
| Maker | OpenAI | Qwen |
| Weights | No public weights listed | Open weights |
| Released | February 12, 2025 | October 6, 2025 |
| Context window | 200K | 262K |
| Input $/Mtok | $1.10 | $0.20 |
| Output $/Mtok | $4.40 | $0.70 |
| 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 Mini High better than Qwen3 VL 30B A3B Instruct 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 Mini High or Qwen3 VL 30B A3B Instruct?
o3 Mini High costs $1.10 per million input tokens and $4.40 per million output tokens; Qwen3 VL 30B A3B Instruct costs $0.20 and $0.70. Cost per solved task is known for neither of them.
Which has the bigger context window, o3 Mini High or Qwen3 VL 30B A3B Instruct?
Qwen3 VL 30B A3B Instruct, with 262K tokens against 200K.
How many benchmarks is the o3 Mini High vs Qwen3 VL 30B A3B Instruct comparison based on?
1 benchmarks have a result for both models as of October 22, 2026. o3 Mini High's coding index rests on 0 independent benchmarks and Qwen3 VL 30B A3B Instruct's on 0. Where only one model has a result, the page says so instead of naming a winner.