Ministral 3 3B 2512 vs o3 Pro
o3 Pro leads Ministral 3 3B 2512 on the Artificial Analysis Intelligence Index, 21.9 to 4.8, and Ministral 3 3B 2512 costs 800.0x less per output token ($0.10 vs $80.00 per million). Updated October 22, 2026; 1 benchmarks have a result for both.
Ministral 3 3B 2512 or o3 Pro: which to pick
Neither model has a coding score yet, so the two cannot be ranked on coding.
Pick Ministral 3 3B 2512 for output tokens 800.0x cheaper ($0.10 vs $80.00 per million) and work measured by AA Intelligence Index, where it leads.
- Shared results
- 1
- Ministral 3 3B 2512 only
- 6
- o3 Pro only
- 11
- 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 4.8.
Same board, both measured
Agentic work
AA Agentic Index
No call
Only Ministral 3 3B 2512 has a AA Agentic Index result, 0.8.
Directional only
Web design
Design Arena: websites
No call
Only Ministral 3 3B 2512 has a Design Arena: websites result, 1027.
Directional only
Long documents
Listed context window
o3 Pro
o3 Pro takes 200K tokens against 131K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
Ministral 3 3B 2512
Ministral 3 3B 2512 $0.0001, o3 Pro $0.060 per turn.
List prices
At a glance
- Coding index
- Ministral 3 3B 2512 not benchmarked, o3 Pro not benchmarked.
- Widest category
- Intelligence, 17.1 points apart on average over 1 shared benchmark.
- Widest single gap
- AA Intelligence Index: Ministral 3 3B 2512 4.8 against o3 Pro 21.9, 17.1 points apart on a 0 to 100 scale.
- Output price
- Ministral 3 3B 2512 $0.10 against o3 Pro $80.00 per million output tokens, 800.0x apart.
- Context window
- Ministral 3 3B 2512 takes 131K tokens, o3 Pro 200K.
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 | Ministral 3 3B 2512 | Bars | o3 Pro | Ties |
|---|---|---|---|---|
| Intelligence | 0 | 1 | ||
| All shared boards | 0 | 1 |
CodingDirectional onlySix of these boards feed the Vibe Coding Index3 boards, none shared
| Benchmark | Ministral 3 3B 2512 | o3 Pro | Leader |
|---|---|---|---|
| Aider polyglot | Not measured | 84.9% | Only o3 Pro measured |
| AA Coding Index | 4.8 | Not measured | Only Ministral 3 3B 2512 measured |
| WeirdML | Not measured | 58.2% | Only o3 Pro measured |
| Neither model has a result on the other 36 boards here | |||
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index01
| Benchmark | Ministral 3 3B 2512 | o3 Pro | Leader |
|---|---|---|---|
| AA Intelligence Index | 4.8 | 21.9 | o3 Pro |
| Epoch Capabilities Index | Not measured | 147.3 | Only o3 Pro measured |
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index1 board, none shared
| Benchmark | Ministral 3 3B 2512 | o3 Pro | Leader |
|---|---|---|---|
| AA Agentic Index | 0.8 | Not measured | Only Ministral 3 3B 2512 measured |
| Neither model has a result on the other 40 boards here | |||
ReasoningDirectional onlyPublic boards, shown as published, kept out of the index4 boards, none shared
| Benchmark | Ministral 3 3B 2512 | o3 Pro | Leader |
|---|---|---|---|
| GPQA Diamond (Artificial Analysis run) | Not measured | 84.5% | Only o3 Pro measured |
| ARC-AGI | Not measured | 59.3% | Only o3 Pro measured |
| ARC-AGI-2 | Not measured | 4.9% | Only o3 Pro measured |
| Kagi LLM Benchmark | Not measured | 72.1% | Only o3 Pro measured |
| Neither model has a result on the other 18 boards here | |||
MathNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | Ministral 3 3B 2512 | o3 Pro | 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 | Ministral 3 3B 2512 | o3 Pro | Leader |
|---|---|---|---|
| Neither model has a result on 18 boards here | |||
Web designDirectional onlyPublic boards, shown as published, kept out of the index4 boards, none shared
| Benchmark | Ministral 3 3B 2512 | o3 Pro | Leader |
|---|---|---|---|
| Design Arena: websites | 1027 | Not measured | Only Ministral 3 3B 2512 measured |
| Design Arena: game dev | 948 | Not measured | Only Ministral 3 3B 2512 measured |
| Design Arena: 3D | 962 | Not measured | Only Ministral 3 3B 2512 measured |
| Design Arena: all code categories | 1010 | Not measured | Only Ministral 3 3B 2512 measured |
| Neither model has a result on the other 5 boards here | |||
GeneralDirectional onlyPublic boards, shown as published, kept out of the index4 boards, none shared
| Benchmark | Ministral 3 3B 2512 | o3 Pro | Leader |
|---|---|---|---|
| DTBench | Not measured | 86.9% | Only o3 Pro measured |
| LMCA | Not measured | 38.5% | Only o3 Pro measured |
| Fiction.LiveBench | Not measured | 97.2% | Only o3 Pro measured |
| Creative writing (Lech Mazur) | Not measured | 84.4% | Only o3 Pro measured |
| Neither model has a result on the other 42 boards here | |||
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | Ministral 3 3B 2512 | o3 Pro | 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
Ministral 3 3B 2512 costs less
Repository review
50K input + 3K output tokens
Ministral 3 3B 2512 costs less
Agent loop
200K input + 10K output tokens
Ministral 3 3B 2512 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 | Mistral Ministral 3 3B 2512 | OpenAI o3 Pro |
|---|---|---|
| Maker | Mistral AI | OpenAI |
| Weights | Open weights | No public weights listed |
| Released | December 2, 2025 | June 10, 2025 |
| Context window | 131K | 200K |
| Input $/Mtok | $0.10 | $20.00 |
| Output $/Mtok | $0.10 | $80.00 |
| 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 Ministral 3 3B 2512 better than o3 Pro for coding?
Neither model has a coding score yet, so the two cannot be ranked on coding. Pick Ministral 3 3B 2512 for output tokens 800.0x cheaper ($0.10 vs $80.00 per million) and work measured by AA Intelligence Index, where it leads.
Which is cheaper, Ministral 3 3B 2512 or o3 Pro?
Ministral 3 3B 2512 costs $0.10 per million input tokens and $0.10 per million output tokens; o3 Pro costs $20.00 and $80.00. Cost per solved task is known for neither of them.
Which has the bigger context window, Ministral 3 3B 2512 or o3 Pro?
o3 Pro, with 200K tokens against 131K.
How many benchmarks is the Ministral 3 3B 2512 vs o3 Pro comparison based on?
1 benchmarks have a result for both models as of October 22, 2026. Ministral 3 3B 2512's coding index rests on 0 independent benchmarks and o3 Pro's on 0. Where only one model has a result, the page says so instead of naming a winner.