Granite 4.0 Micro vs Ministral 3 3B 2512
Granite 4.0 Micro leads Ministral 3 3B 2512 on the Artificial Analysis Intelligence Index, 5.1 to 4.8, at about the same output price ($0.112 vs $0.10 per million). Updated October 23, 2026; 1 benchmarks have a result for both.
Granite 4.0 Micro or Ministral 3 3B 2512: 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
- Granite 4.0 Micro only
- 12
- Ministral 3 3B 2512 only
- 6
- 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
Granite 4.0 Micro
Granite 4.0 Micro leads, 5.1 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
Ministral 3 3B 2512
Ministral 3 3B 2512 takes 131K tokens against 131K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
Granite 4.0 Micro
Granite 4.0 Micro $0.0001, Ministral 3 3B 2512 $0.0001 per turn.
List prices
At a glance
- Coding index
- Granite 4.0 Micro not benchmarked, Ministral 3 3B 2512 not benchmarked.
- Widest category
- Intelligence, 0.3 points apart on average over 1 shared benchmark.
- Widest single gap
- AA Intelligence Index: Granite 4.0 Micro 5.1 against Ministral 3 3B 2512 4.8, 0.3 points apart on a 0 to 100 scale.
- Output price
- Granite 4.0 Micro $0.112 against Ministral 3 3B 2512 $0.10 per million output tokens, 1.1x apart.
- Context window
- Granite 4.0 Micro takes 131K tokens, Ministral 3 3B 2512 131K.
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 | Granite 4.0 Micro | Bars | Ministral 3 3B 2512 | Ties |
|---|---|---|---|---|
| Intelligence | 1 | 0 | ||
| All shared boards | 1 | 0 |
CodingDirectional onlySix of these boards feed the Vibe Coding Index3 boards, none shared
| Benchmark | Granite 4.0 Micro | Ministral 3 3B 2512 | Leader |
|---|---|---|---|
| AA Coding Index | Not measured | 4.8 | Only Ministral 3 3B 2512 measured |
| LiveCodeBench (Artificial Analysis run) | 18.0% | Not measured | Only Granite 4.0 Micro measured |
| Terminal-Bench Hard (Artificial Analysis run) | 1.5% | Not measured | Only Granite 4.0 Micro measured |
| Neither model has a result on the other 40 boards here | |||
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index10
| Benchmark | Granite 4.0 Micro | Ministral 3 3B 2512 | Leader |
|---|---|---|---|
| AA Intelligence Index | 5.1 | 4.8 | Granite 4.0 Micro |
| 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 | Granite 4.0 Micro | Ministral 3 3B 2512 | Leader |
|---|---|---|---|
| AA Agentic Index | Not measured | 0.8 | Only Ministral 3 3B 2512 measured |
| τ²-Bench Telecom | 12.6% | Not measured | Only Granite 4.0 Micro measured |
| Neither model has a result on the other 40 boards here | |||
ReasoningDirectional onlyPublic boards, shown as published, kept out of the index3 boards, none shared
| Benchmark | Granite 4.0 Micro | Ministral 3 3B 2512 | Leader |
|---|---|---|---|
| GPQA Diamond (Artificial Analysis run) | 33.6% | Not measured | Only Granite 4.0 Micro measured |
| Humanity's Last Exam (Artificial Analysis run) | 5.0% | Not measured | Only Granite 4.0 Micro measured |
| GPQA Diamond (Epoch AI run) | 28.3% | Not measured | Only Granite 4.0 Micro measured |
| Neither model has a result on the other 20 boards here | |||
MathDirectional onlyPublic boards, shown as published, kept out of the index3 boards, none shared
| Benchmark | Granite 4.0 Micro | Ministral 3 3B 2512 | Leader |
|---|---|---|---|
| AA Math Index | 6.0 | Not measured | Only Granite 4.0 Micro measured |
| AIME 2025 (Artificial Analysis run) | 6.0% | Not measured | Only Granite 4.0 Micro measured |
| OTIS Mock AIME | 2.8% | Not measured | Only Granite 4.0 Micro 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 | Granite 4.0 Micro | Ministral 3 3B 2512 | Leader |
|---|---|---|---|
| MMLU Pro (Artificial Analysis run) | 44.7% | Not measured | Only Granite 4.0 Micro measured |
| Neither model has a result on the other 19 boards here | |||
Web designDirectional onlyPublic boards, shown as published, kept out of the index4 boards, none shared
| Benchmark | Granite 4.0 Micro | Ministral 3 3B 2512 | Leader |
|---|---|---|---|
| Design Arena: websites | Not measured | 1027 | Only Ministral 3 3B 2512 measured |
| Design Arena: game dev | Not measured | 948 | Only Ministral 3 3B 2512 measured |
| Design Arena: 3D | Not measured | 963 | Only Ministral 3 3B 2512 measured |
| Design Arena: all code categories | Not measured | 1009 | 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 index2 boards, none shared
| Benchmark | Granite 4.0 Micro | Ministral 3 3B 2512 | Leader |
|---|---|---|---|
| IFBench | 24.8% | Not measured | Only Granite 4.0 Micro measured |
| Long context reasoning (AA-LCR) | 7.0% | Not measured | Only Granite 4.0 Micro measured |
| Neither model has a result on the other 46 boards here | |||
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | Granite 4.0 Micro | Ministral 3 3B 2512 | 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
Granite 4.0 Micro costs less
Repository review
50K input + 3K output tokens
Granite 4.0 Micro costs less
Agent loop
200K input + 10K output tokens
Granite 4.0 Micro 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 | IBM Granite 4.0 Micro | Mistral Ministral 3 3B 2512 |
|---|---|---|
| Maker | IBM Granite | Mistral AI |
| Weights | Open weights | Open weights |
| Released | October 20, 2025 | December 2, 2025 |
| Context window | 131K | 131K |
| Input $/Mtok | $0.017 | $0.10 |
| Output $/Mtok | $0.112 | $0.10 |
| 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 Granite 4.0 Micro better than Ministral 3 3B 2512 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, Granite 4.0 Micro or Ministral 3 3B 2512?
Granite 4.0 Micro costs $0.017 per million input tokens and $0.112 per million output tokens; Ministral 3 3B 2512 costs $0.10 and $0.10. Cost per solved task is known for neither of them.
Which has the bigger context window, Granite 4.0 Micro or Ministral 3 3B 2512?
Ministral 3 3B 2512, with 131K tokens against 131K.
How many benchmarks is the Granite 4.0 Micro vs Ministral 3 3B 2512 comparison based on?
1 benchmarks have a result for both models as of October 23, 2026. Granite 4.0 Micro's coding index rests on 0 independent benchmarks and Ministral 3 3B 2512's on 0. Where only one model has a result, the page says so instead of naming a winner.