Mistral Large 3 2512 vs MiMo-V2.5
MiMo-V2.5 leads Mistral Large 3 2512 on the Artificial Analysis Intelligence Index, 21.8 to 9.3, and MiMo-V2.5 costs 4.5x less per output token ($0.336 vs $1.50 per million). Updated October 21, 2026; 22 benchmarks have a result for both.
Mistral Large 3 2512 or MiMo-V2.5: which to pick
Only MiMo-V2.5 has a coding score, 50.0 on the Vibe Coding Index; Mistral Large 3 2512 has none, so the two cannot be ranked on coding.
Pick Mistral Large 3 2512 for work measured by LegalBench (Vals AI) or CorpFin (Vals AI), where it leads.
- Shared results
- 22
- Mistral Large 3 2512 only
- 6
- MiMo-V2.5 only
- 58
- Like-for-like categories
- 7 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
Only MiMo-V2.5 has a coding score, so no call is made.
One side not measured
Intelligence
AA Intelligence Index
MiMo-V2.5
MiMo-V2.5 leads, 21.8 against 9.3.
Same board, both measured
Agentic work
AA Agentic Index
MiMo-V2.5
MiMo-V2.5 leads, 15.8 against 1.0.
Same board, both measured
Reasoning
GPQA Diamond
MiMo-V2.5
MiMo-V2.5 leads, 81.6% against 68.4%.
Same board, both measured
Math
AIME
No call
Only Mistral Large 3 2512 has a AIME result, 42.9%.
Directional only
Knowledge
MMLU Pro
MiMo-V2.5
MiMo-V2.5 leads, 82.9% against 79.8%.
Same board, both measured
Web design
Design Arena: websites
MiMo-V2.5
MiMo-V2.5 leads, 1266 against 1162.
Same board, both measured
Long documents
Listed context window
MiMo-V2.5
MiMo-V2.5 takes 1.05M tokens against 262K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
MiMo-V2.5
Mistral Large 3 2512 $0.0013, MiMo-V2.5 $0.0003 per turn.
List prices
Cost per solved task
One SWE-bench Verified task, solved
MiMo-V2.5
Mistral Large 3 2512 $0.77, MiMo-V2.5 $0.01.
Published attempt cost and pass rate
At a glance
- Coding index
- Mistral Large 3 2512 not benchmarked, MiMo-V2.5 50.0 from 3 benchmarks.
- Widest category
- Coding, 25.2 points apart on average over 4 shared benchmarks.
- Widest single gap
- AA Coding Index: Mistral Large 3 2512 20.1 against MiMo-V2.5 56.8, 36.7 points apart on a 0 to 100 scale.
- Output price
- Mistral Large 3 2512 $1.50 against MiMo-V2.5 $0.336 per million output tokens, 4.5x apart.
- Context window
- Mistral Large 3 2512 takes 262K tokens, MiMo-V2.5 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 | Mistral Large 3 2512 | Bars | MiMo-V2.5 | Ties |
|---|---|---|---|---|
| Coding | 0 | 4 | ||
| Intelligence | 0 | 1 | ||
| Agentic work | 0 | 1 | ||
| Reasoning | 0 | 2 | ||
| Knowledge | 3 | 2 | ||
| Web design | 0 | 8 | ||
| General | 0 | 1 | ||
| All shared boards | 3 | 19 |
CodingLike-for-likeSix of these boards feed the Vibe Coding Index04
| Benchmark | Mistral Large 3 2512 | MiMo-V2.5 | Leader |
|---|---|---|---|
| LMArena WebDev | Not measured | 1438 | Only MiMo-V2.5 measured |
| AA Coding Index | 20.1 | 56.8 | MiMo-V2.5 |
| LiveCodeBench (Vals AI) | 55.3% | 81.5% | MiMo-V2.5 |
| SWE-bench Verified (Vals AI) | 41.4% | 71.0% | MiMo-V2.5 |
| Vibe Code Bench (Vals AI) | Not measured | 42.2% | Only MiMo-V2.5 measured |
| Code migration (Vals AI) | Not measured | 14.2% | Only MiMo-V2.5 measured |
| Terminal-Bench 2.1 (Vals AI) | Not measured | 60.7% | Only MiMo-V2.5 measured |
| SciCode | Not measured | 43.9% | Only MiMo-V2.5 measured |
| Terminal-Bench Hard (Artificial Analysis run) | Not measured | 41.7% | Only MiMo-V2.5 measured |
| ALE-Bench | 264.7 | 514.0 | MiMo-V2.5 |
| LMArena Text: coding | Not measured | 1469 | Only MiMo-V2.5 measured |
| LMArena Text: software and IT | Not measured | 1463 | Only MiMo-V2.5 measured |
| LMArena WebDev: React | Not measured | 1425 | Only MiMo-V2.5 measured |
| LMArena WebDev: HTML | Not measured | 1429 | Only MiMo-V2.5 measured |
| Neither model has a result on the other 25 boards here | |||
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index01
| Benchmark | Mistral Large 3 2512 | MiMo-V2.5 | Leader |
|---|---|---|---|
| AA Intelligence Index | 9.3 | 21.8 | MiMo-V2.5 |
| 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 | Mistral Large 3 2512 | MiMo-V2.5 | Leader |
|---|---|---|---|
| AA Agentic Index | 1.0 | 15.8 | MiMo-V2.5 |
| Finance Agent (Vals AI) | Not measured | 36.7% | Only MiMo-V2.5 measured |
| Tax Agent Bench (Vals AI) | Not measured | 7.8% | Only MiMo-V2.5 measured |
| Legal Research Bench (Vals AI) | Not measured | 9.1% | Only MiMo-V2.5 measured |
| Excel Modeling Benchmark (Vals AI) | Not measured | 55.1% | Only MiMo-V2.5 measured |
| τ²-Bench Telecom | Not measured | 90.6% | Only MiMo-V2.5 measured |
| Neither model has a result on the other 35 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index02
| Benchmark | Mistral Large 3 2512 | MiMo-V2.5 | Leader |
|---|---|---|---|
| GPQA Diamond | 68.4% | 81.6% | MiMo-V2.5 |
| MMMU Pro (Vals AI) | 66.2% | 80.0% | MiMo-V2.5 |
| GPQA Diamond (Artificial Analysis run) | Not measured | 84.9% | Only MiMo-V2.5 measured |
| Humanity's Last Exam (Artificial Analysis run) | Not measured | 27.2% | Only MiMo-V2.5 measured |
| LMArena Text: hard prompts | Not measured | 1450 | Only MiMo-V2.5 measured |
| LMArena Text: expert | Not measured | 1459 | Only MiMo-V2.5 measured |
| LMArena Text: hard prompts in English | Not measured | 1461 | Only MiMo-V2.5 measured |
| LMArena Vision: diagrams | Not measured | 1269 | Only MiMo-V2.5 measured |
| LMArena Vision: homework | Not measured | 1262 | Only MiMo-V2.5 measured |
| Neither model has a result on the other 13 boards here | |||
MathDirectional onlyPublic boards, shown as published, kept out of the index5 boards, none shared
| Benchmark | Mistral Large 3 2512 | MiMo-V2.5 | Leader |
|---|---|---|---|
| AIME | 42.9% | Not measured | Only Mistral Large 3 2512 measured |
| MGSM (Vals AI) | 85.4% | Not measured | Only Mistral Large 3 2512 measured |
| ProofBench | Not measured | 16.0% | Only MiMo-V2.5 measured |
| LMArena Text: math | Not measured | 1436 | Only MiMo-V2.5 measured |
| LMArena Text: mathematical work | Not measured | 1451 | Only MiMo-V2.5 measured |
| Neither model has a result on the other 8 boards here | |||
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index32
| Benchmark | Mistral Large 3 2512 | MiMo-V2.5 | Leader |
|---|---|---|---|
| MMLU Pro | 79.8% | 82.9% | MiMo-V2.5 |
| LegalBench (Vals AI) | 79.1% | 78.9% | Mistral Large 3 2512 |
| CaseLaw (Vals AI) | 61.4% | Not measured | Only Mistral Large 3 2512 measured |
| CorpFin (Vals AI) | 61.0% | 59.9% | Mistral Large 3 2512 |
| TaxEval (Vals AI) | 73.1% | 71.8% | Mistral Large 3 2512 |
| MortgageTax (Vals AI) | 52.1% | 59.3% | MiMo-V2.5 |
| MedQA (Vals AI) | 82.2% | Not measured | Only Mistral Large 3 2512 measured |
| MedCode (Vals AI) | Not measured | 31.9% | Only MiMo-V2.5 measured |
| LMArena Text: science | Not measured | 1440 | Only MiMo-V2.5 measured |
| LMArena Text: medicine and healthcare | Not measured | 1432 | Only MiMo-V2.5 measured |
| LMArena Text: legal and government | Not measured | 1425 | Only MiMo-V2.5 measured |
| LMArena Text: business and finance | Not measured | 1432 | Only MiMo-V2.5 measured |
| Neither model has a result on the other 6 boards here | |||
Web designLike-for-likePublic boards, shown as published, kept out of the index08
| Benchmark | Mistral Large 3 2512 | MiMo-V2.5 | Leader |
|---|---|---|---|
| Design Arena: websites | 1162 | 1266 | MiMo-V2.5 |
| Design Arena: UI components | 1102 | 1258 | MiMo-V2.5 |
| Design Arena: game dev | 1080 | 1249 | MiMo-V2.5 |
| Design Arena: data viz | 1136 | 1249 | MiMo-V2.5 |
| Design Arena: 3D | 1100 | 1216 | MiMo-V2.5 |
| Design Arena: all code categories | 1142 | 1260 | MiMo-V2.5 |
| Design Arena: SVG | 993 | 1178 | MiMo-V2.5 |
| Design Arena: ASCII art | 1069 | 1140 | MiMo-V2.5 |
| Neither model has a result on the other 1 board here | |||
GeneralLike-for-likePublic boards, shown as published, kept out of the index01
| Benchmark | Mistral Large 3 2512 | MiMo-V2.5 | Leader |
|---|---|---|---|
| SAGE (Vals AI) | 24.6% | 43.3% | MiMo-V2.5 |
| MedScribe (Vals AI) | Not measured | 72.2% | Only MiMo-V2.5 measured |
| Vals Multimodal Index | Not measured | 52.8% | Only MiMo-V2.5 measured |
| IFBench | Not measured | 67.1% | Only MiMo-V2.5 measured |
| Long context reasoning (AA-LCR) | Not measured | 73.0% | Only MiMo-V2.5 measured |
| DTBench | 65.1% | Not measured | Only Mistral Large 3 2512 measured |
| LMCA | 16.7% | Not measured | Only Mistral Large 3 2512 measured |
| LMArena Text | Not measured | 1428 | Only MiMo-V2.5 measured |
| LMArena Text: instruction following | Not measured | 1435 | Only MiMo-V2.5 measured |
| LMArena Text: creative writing | Not measured | 1393 | Only MiMo-V2.5 measured |
| LMArena Vision | Not measured | 1247 | Only MiMo-V2.5 measured |
| LMArena Text: English | Not measured | 1447 | Only MiMo-V2.5 measured |
| LMArena Text: non-English | Not measured | 1405 | Only MiMo-V2.5 measured |
| LMArena Text: Chinese | Not measured | 1469 | Only MiMo-V2.5 measured |
| LMArena Text: German | Not measured | 1421 | Only MiMo-V2.5 measured |
| LMArena Text: Japanese | Not measured | 1306 | Only MiMo-V2.5 measured |
| LMArena Text: Korean | Not measured | 1361 | Only MiMo-V2.5 measured |
| LMArena Text: French | Not measured | 1448 | Only MiMo-V2.5 measured |
| LMArena Text: Spanish | Not measured | 1414 | Only MiMo-V2.5 measured |
| LMArena Text: Russian | Not measured | 1396 | Only MiMo-V2.5 measured |
| LMArena Text: Polish | Not measured | 1413 | Only MiMo-V2.5 measured |
| LMArena Text: multi-turn | Not measured | 1445 | Only MiMo-V2.5 measured |
| LMArena Text: longer queries | Not measured | 1445 | Only MiMo-V2.5 measured |
| LMArena Text: writing and language | Not measured | 1409 | Only MiMo-V2.5 measured |
| LMArena Text: entertainment and media | Not measured | 1399 | Only MiMo-V2.5 measured |
| LMArena Vision: English | Not measured | 1259 | Only MiMo-V2.5 measured |
| LMArena Vision: Chinese | Not measured | 1326 | Only MiMo-V2.5 measured |
| LMArena Vision: reading text | Not measured | 1256 | Only MiMo-V2.5 measured |
| LMArena Vision: humor | Not measured | 1226 | Only MiMo-V2.5 measured |
| LMArena Vision: recognizing things | Not measured | 1189 | Only MiMo-V2.5 measured |
| LMArena Vision: creative writing | Not measured | 1230 | Only MiMo-V2.5 measured |
| Neither model has a result on the other 15 boards here | |||
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | Mistral Large 3 2512 | MiMo-V2.5 | 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
MiMo-V2.5 costs less
Repository review
50K input + 3K output tokens
MiMo-V2.5 costs less
Agent loop
200K input + 10K output tokens
MiMo-V2.5 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 Large 3 2512 | Xiaomi MiMo-V2.5 |
|---|---|---|
| Maker | Mistral AI | Xiaomi |
| Weights | No public weights listed | Open weights |
| Released | December 1, 2025 | April 22, 2026 |
| Context window | 262K | 1.05M |
| Input $/Mtok | $0.50 | $0.168 |
| Output $/Mtok | $1.50 | $0.336 |
| Coding index | Not benchmarked | 50.0 |
| Independent measurements behind it | 1 | 3 |
| Cost per solved task | $0.77 | $0.01 |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is Mistral Large 3 2512 better than MiMo-V2.5 for coding?
Only MiMo-V2.5 has a coding score, 50.0 on the Vibe Coding Index; Mistral Large 3 2512 has none, so the two cannot be ranked on coding. Pick Mistral Large 3 2512 for work measured by LegalBench (Vals AI) or CorpFin (Vals AI), where it leads.
Which is cheaper, Mistral Large 3 2512 or MiMo-V2.5?
Mistral Large 3 2512 costs $0.50 per million input tokens and $1.50 per million output tokens; MiMo-V2.5 costs $0.168 and $0.336. Per solved SWE-bench Verified task, Mistral Large 3 2512 costs $0.77 and MiMo-V2.5 $0.01.
Which has the bigger context window, Mistral Large 3 2512 or MiMo-V2.5?
MiMo-V2.5, with 1.05M tokens against 262K.
How many benchmarks is the Mistral Large 3 2512 vs MiMo-V2.5 comparison based on?
22 benchmarks have a result for both models as of October 21, 2026. Mistral Large 3 2512's coding index rests on 1 independent benchmark and MiMo-V2.5's on 3. Where only one model has a result, the page says so instead of naming a winner.