Ministral 3 14B 2512 vs Qwen3.8 2.4T A95B
Qwen3.8 2.4T A95B leads Ministral 3 14B 2512 on the Artificial Analysis Intelligence Index, 39.9 to 6.0, and Ministral 3 14B 2512 costs 30.0x less per output token ($0.20 vs $6.00 per million). Updated October 23, 2026; 3 benchmarks have a result for both.
Ministral 3 14B 2512 or Qwen3.8 2.4T A95B: 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 30.0x cheaper ($0.20 vs $6.00 per million) and work measured by AA Coding Index or AA Intelligence Index, where it leads.
- Shared results
- 3
- Ministral 3 14B 2512 only
- 4
- Qwen3.8 2.4T A95B only
- 6
- Like-for-like categories
- 3 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
Qwen3.8 2.4T A95B
Qwen3.8 2.4T A95B leads, 39.9 against 6.0.
Same board, both measured
Agentic work
AA Agentic Index
Qwen3.8 2.4T A95B
Qwen3.8 2.4T A95B leads, 50.1 against 1.1.
Same board, both measured
Web design
Design Arena: websites
No call
Only Ministral 3 14B 2512 has a Design Arena: websites result, 1081.
Directional only
Long documents
Listed context window
Qwen3.8 2.4T A95B
Qwen3.8 2.4T A95B takes 1.05M tokens against 262K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
Ministral 3 14B 2512
Ministral 3 14B 2512 $0.0003, Qwen3.8 2.4T A95B $0.0050 per turn.
List prices
At a glance
- Coding index
- Ministral 3 14B 2512 not benchmarked, Qwen3.8 2.4T A95B not benchmarked.
- Widest category
- Coding, 57.5 points apart on average over 1 shared benchmark.
- Widest single gap
- AA Coding Index: Ministral 3 14B 2512 14.4 against Qwen3.8 2.4T A95B 71.9, 57.5 points apart on a 0 to 100 scale.
- Output price
- Ministral 3 14B 2512 $0.20 against Qwen3.8 2.4T A95B $6.00 per million output tokens, 30.0x apart.
- Context window
- Ministral 3 14B 2512 takes 262K tokens, Qwen3.8 2.4T A95B 1.05M.
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 | Qwen3.8 2.4T A95B | Ties |
|---|---|---|---|---|
| Coding | 0 | 1 | ||
| Intelligence | 0 | 1 | ||
| Agentic work | 0 | 1 | ||
| All shared boards | 0 | 3 |
CodingLike-for-likeSix of these boards feed the Vibe Coding Index01
| Benchmark | Ministral 3 14B 2512 | Qwen3.8 2.4T A95B | Leader |
|---|---|---|---|
| AA Coding Index | 14.4 | 71.9 | Qwen3.8 2.4T A95B |
| SciCode | Not measured | 54.1% | Only Qwen3.8 2.4T A95B measured |
| Neither model has a result on the other 41 boards here | |||
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index01
| Benchmark | Ministral 3 14B 2512 | Qwen3.8 2.4T A95B | Leader |
|---|---|---|---|
| AA Intelligence Index | 6.0 | 39.9 | Qwen3.8 2.4T A95B |
| Neither model has a result on the other 1 board here | |||
Agentic workLike-for-likePublic boards, shown as published, kept out of the index01
| Benchmark | Ministral 3 14B 2512 | Qwen3.8 2.4T A95B | Leader |
|---|---|---|---|
| AA Agentic Index | 1.1 | 50.1 | Qwen3.8 2.4T A95B |
| MCP Atlas | Not measured | 84.5% | Only Qwen3.8 2.4T A95B measured |
| Neither model has a result on the other 40 boards here | |||
ReasoningDirectional onlyPublic boards, shown as published, kept out of the index2 boards, none shared
| Benchmark | Ministral 3 14B 2512 | Qwen3.8 2.4T A95B | Leader |
|---|---|---|---|
| GPQA Diamond (Artificial Analysis run) | Not measured | 93.5% | Only Qwen3.8 2.4T A95B measured |
| Humanity's Last Exam (Artificial Analysis run) | Not measured | 42.4% | Only Qwen3.8 2.4T A95B measured |
| Neither model has a result on the other 21 boards here | |||
MathDirectional onlyPublic boards, shown as published, kept out of the index1 board, none shared
| Benchmark | Ministral 3 14B 2512 | Qwen3.8 2.4T A95B | Leader |
|---|---|---|---|
| MathArena | Not measured | 31.6% | Only Qwen3.8 2.4T A95B measured |
| Neither model has a result on the other 13 boards here | |||
KnowledgeNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | Ministral 3 14B 2512 | Qwen3.8 2.4T A95B | Leader |
|---|---|---|---|
| Neither model has a result on 20 boards here | |||
Web designDirectional onlyPublic boards, shown as published, kept out of the index4 boards, none shared
| Benchmark | Ministral 3 14B 2512 | Qwen3.8 2.4T A95B | Leader |
|---|---|---|---|
| Design Arena: websites | 1081 | Not measured | Only Ministral 3 14B 2512 measured |
| Design Arena: game dev | 1037 | Not measured | Only Ministral 3 14B 2512 measured |
| Design Arena: 3D | 991 | Not measured | Only Ministral 3 14B 2512 measured |
| Design Arena: all code categories | 1064 | Not measured | Only Ministral 3 14B 2512 measured |
| Neither model has a result on the other 5 boards here | |||
GeneralDirectional onlyPublic boards, shown as published, kept out of the index1 board, none shared
| Benchmark | Ministral 3 14B 2512 | Qwen3.8 2.4T A95B | Leader |
|---|---|---|---|
| Long context reasoning (AA-LCR) | Not measured | 80.3% | Only Qwen3.8 2.4T A95B measured |
| Neither model has a result on the other 47 boards here | |||
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | Ministral 3 14B 2512 | Qwen3.8 2.4T A95B | 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 14B 2512 costs less
Repository review
50K input + 3K output tokens
Ministral 3 14B 2512 costs less
Agent loop
200K input + 10K output tokens
Ministral 3 14B 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 14B 2512 | Qwen3.8 2.4T A95B |
|---|---|---|
| Maker | Mistral AI | Qwen |
| Weights | Open weights | Open weights |
| Released | December 2, 2025 | August 12, 2026 |
| Context window | 262K | 1.05M |
| Input $/Mtok | $0.20 | $2.00 |
| Output $/Mtok | $0.20 | $6.00 |
| 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 14B 2512 better than Qwen3.8 2.4T A95B 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 30.0x cheaper ($0.20 vs $6.00 per million) and work measured by AA Coding Index or AA Intelligence Index, where it leads.
Which is cheaper, Ministral 3 14B 2512 or Qwen3.8 2.4T A95B?
Ministral 3 14B 2512 costs $0.20 per million input tokens and $0.20 per million output tokens; Qwen3.8 2.4T A95B costs $2.00 and $6.00. Cost per solved task is known for neither of them.
Which has the bigger context window, Ministral 3 14B 2512 or Qwen3.8 2.4T A95B?
Qwen3.8 2.4T A95B, with 1.05M tokens against 262K.
How many benchmarks is the Ministral 3 14B 2512 vs Qwen3.8 2.4T A95B comparison based on?
3 benchmarks have a result for both models as of October 23, 2026. Ministral 3 14B 2512's coding index rests on 0 independent benchmarks and Qwen3.8 2.4T A95B's on 0. Where only one model has a result, the page says so instead of naming a winner.