Ministral 3 14B 2512 vs Mistral Small 3.2 24B
Ministral 3 14B 2512 costs 1.5x less per output token than Mistral Small 3.2 24B ($0.20 vs $0.30 per million). Updated October 22, 2026; 3 benchmarks have a result for both.
Ministral 3 14B 2512 or Mistral Small 3.2 24B: which to pick
Neither model has a coding score yet, so the two cannot be ranked on coding.
Pick Ministral 3 14B 2512 for output tokens 1.5x cheaper ($0.20 vs $0.30 per million) and a larger context window (262K against 256K tokens).
- Shared results
- 3
- Ministral 3 14B 2512 only
- 4
- Mistral Small 3.2 24B only
- 2
- 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
No call
Only Ministral 3 14B 2512 has a AA Intelligence Index result, 6.0.
Directional only
Agentic work
AA Agentic Index
No call
Only Ministral 3 14B 2512 has a AA Agentic Index result, 1.1.
Directional only
Web design
Design Arena: websites
Ministral 3 14B 2512
Ministral 3 14B 2512 leads, 1081 against 896.
Same board, both measured
Long documents
Listed context window
Ministral 3 14B 2512
Ministral 3 14B 2512 takes 262K tokens against 256K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
Mistral Small 3.2 24B
Ministral 3 14B 2512 $0.0003, Mistral Small 3.2 24B $0.0003 per turn.
List prices
At a glance
- Coding index
- Ministral 3 14B 2512 not benchmarked, Mistral Small 3.2 24B not benchmarked.
- Widest category
- Web design, 20.4 points apart on average over 3 shared benchmarks.
- Widest single gap
- Design Arena: websites: Ministral 3 14B 2512 1081 against Mistral Small 3.2 24B 896, 23.1 points apart on a 0 to 100 scale.
- Output price
- Ministral 3 14B 2512 $0.20 against Mistral Small 3.2 24B $0.30 per million output tokens, 1.5x apart.
- Context window
- Ministral 3 14B 2512 takes 262K tokens, Mistral Small 3.2 24B 256K.
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 14B 2512 | Bars | Mistral Small 3.2 24B | Ties |
|---|---|---|---|---|
| Web design | 3 | 0 | ||
| All shared boards | 3 | 0 |
CodingDirectional onlySix of these boards feed the Vibe Coding Index1 board, none shared
| Benchmark | Ministral 3 14B 2512 | Mistral Small 3.2 24B | Leader |
|---|---|---|---|
| AA Coding Index | 14.4 | Not measured | Only Ministral 3 14B 2512 measured |
| Neither model has a result on the other 42 boards here | |||
IntelligenceDirectional onlyPublic boards, shown as published, kept out of the index1 board, none shared
| Benchmark | Ministral 3 14B 2512 | Mistral Small 3.2 24B | Leader |
|---|---|---|---|
| AA Intelligence Index | 6.0 | Not measured | Only Ministral 3 14B 2512 measured |
| Neither model has a result on the other 1 board here | |||
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index1 board, none shared
| Benchmark | Ministral 3 14B 2512 | Mistral Small 3.2 24B | Leader |
|---|---|---|---|
| AA Agentic Index | 1.1 | Not measured | Only Ministral 3 14B 2512 measured |
| Neither model has a result on the other 41 boards here | |||
ReasoningNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | Ministral 3 14B 2512 | Mistral Small 3.2 24B | Leader |
|---|---|---|---|
| Neither model has a result on 23 boards here | |||
MathNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | Ministral 3 14B 2512 | Mistral Small 3.2 24B | Leader |
|---|---|---|---|
| Neither model has a result on 14 boards here | |||
KnowledgeNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | Ministral 3 14B 2512 | Mistral Small 3.2 24B | Leader |
|---|---|---|---|
| Neither model has a result on 20 boards here | |||
Web designLike-for-likePublic boards, shown as published, kept out of the index30
| Benchmark | Ministral 3 14B 2512 | Mistral Small 3.2 24B | Leader |
|---|---|---|---|
| Design Arena: websites | 1081 | 896 | Ministral 3 14B 2512 |
| Design Arena: UI components | Not measured | 904 | Only Mistral Small 3.2 24B measured |
| Design Arena: game dev | 1037 | 889 | Ministral 3 14B 2512 |
| Design Arena: data viz | Not measured | 929 | Only Mistral Small 3.2 24B measured |
| Design Arena: 3D | 989 | Not measured | Only Ministral 3 14B 2512 measured |
| Design Arena: all code categories | 1064 | 907 | Ministral 3 14B 2512 |
| Neither model has a result on the other 3 boards here | |||
GeneralNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | Ministral 3 14B 2512 | Mistral Small 3.2 24B | Leader |
|---|---|---|---|
| Neither model has a result on 48 boards here | |||
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | Ministral 3 14B 2512 | Mistral Small 3.2 24B | 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
Mistral Small 3.2 24B costs less
Repository review
50K input + 3K output tokens
Mistral Small 3.2 24B costs less
Agent loop
200K input + 10K output tokens
Mistral Small 3.2 24B 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 14B 2512 | Mistral Small 3.2 24B |
|---|---|---|
| Maker | Mistral AI | Mistral AI |
| Weights | Open weights | Open weights |
| Released | December 2, 2025 | June 20, 2025 |
| Context window | 262K | 256K |
| Input $/Mtok | $0.20 | $0.10 |
| Output $/Mtok | $0.20 | $0.30 |
| 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 14B 2512 better than Mistral Small 3.2 24B for coding?
Neither model has a coding score yet, so the two cannot be ranked on coding. Pick Ministral 3 14B 2512 for output tokens 1.5x cheaper ($0.20 vs $0.30 per million) and a larger context window (262K against 256K tokens).
Which is cheaper, Ministral 3 14B 2512 or Mistral Small 3.2 24B?
Ministral 3 14B 2512 costs $0.20 per million input tokens and $0.20 per million output tokens; Mistral Small 3.2 24B costs $0.10 and $0.30. Cost per solved task is known for neither of them.
Which has the bigger context window, Ministral 3 14B 2512 or Mistral Small 3.2 24B?
Ministral 3 14B 2512, with 262K tokens against 256K.
How many benchmarks is the Ministral 3 14B 2512 vs Mistral Small 3.2 24B comparison based on?
3 benchmarks have a result for both models as of October 22, 2026. Ministral 3 14B 2512's coding index rests on 0 independent benchmarks and Mistral Small 3.2 24B's on 0. Where only one model has a result, the page says so instead of naming a winner.