Mistral Large 4 vs MiMo-V2.5
Mistral Large 4 leads MiMo-V2.5 on coding, 56.4 to 50.0 on the Vibe Coding Index, and MiMo-V2.5 costs 12.4x less per output token ($0.336 vs $4.18 per million). Updated October 22, 2026; 54 benchmarks have a result for both.
Mistral Large 4 or MiMo-V2.5: which to pick
Pick Mistral Large 4 for coding: it scores 56.4 on the Vibe Coding Index against 50.0 for MiMo-V2.5.
Pick MiMo-V2.5 for output tokens 12.4x cheaper ($0.336 vs $4.18 per million) and a larger context window (1.05M against 1.05M tokens).
- Shared results
- 54
- Mistral Large 4 only
- 27
- MiMo-V2.5 only
- 26
- Like-for-like categories
- 8 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
Mistral Large 4
Mistral Large 4 scores 56.4 against 50.0.
5 and 3 benchmarks behind the scores
Intelligence
AA Intelligence Index
Mistral Large 4
Mistral Large 4 leads, 38.4 against 21.8.
Same board, both measured
Agentic work
AA Agentic Index
No call
Only MiMo-V2.5 has a AA Agentic Index result, 15.8.
Directional only
Reasoning
GPQA Diamond
No call
Only MiMo-V2.5 has a GPQA Diamond result, 81.6%.
Directional only
Knowledge
MMLU Pro
No call
Only MiMo-V2.5 has a MMLU Pro result, 82.9%.
Directional only
Web design
Design Arena: websites
MiMo-V2.5
MiMo-V2.5 leads, 1265 against 1257.
Same board, both measured
Long documents
Listed context window
MiMo-V2.5
MiMo-V2.5 takes 1.05M tokens against 1.05M.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
MiMo-V2.5
Mistral Large 4 $0.0034, MiMo-V2.5 $0.0003 per turn.
List prices
Cost per solved task
One SWE-bench Verified task, solved
No call
Only MiMo-V2.5 has the number, $0.01.
Directional only
At a glance
- Coding index
- Mistral Large 4 56.4 from 5 benchmarks, MiMo-V2.5 50.0 from 3 benchmarks.
- Widest category
- Intelligence, 16.6 points apart on average over 1 shared benchmark.
- Widest single gap
- Vibe Code Bench (Vals AI): Mistral Large 4 78.4% against MiMo-V2.5 42.2%, 36.2 points apart on a 0 to 100 scale.
- Output price
- Mistral Large 4 $4.18 against MiMo-V2.5 $0.336 per million output tokens, 12.4x apart.
- Context window
- Mistral Large 4 takes 1.05M 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 4 | Bars | MiMo-V2.5 | Ties |
|---|---|---|---|---|
| Coding | 9 | 0 | ||
| Intelligence | 1 | 0 | ||
| Agentic work | 4 | 0 | ||
| Reasoning | 2 | 3 | ||
| Math | 2 | 1 | ||
| Knowledge | 5 | 0 | ||
| Web design | 5 | 3 | ||
| General | 12 | 7 | ||
| All shared boards | 40 | 14 |
CodingLike-for-likeSix of these boards feed the Vibe Coding Index90
| Benchmark | Mistral Large 4 | MiMo-V2.5 | Leader |
|---|---|---|---|
| LiveBench coding | 60.0% | Not measured | Only Mistral Large 4 measured |
| LMArena WebDev | 1543 | 1438 | Mistral Large 4 |
| AA Coding Index | Not measured | 56.8 | Only MiMo-V2.5 measured |
| LiveCodeBench (Vals AI) | Not measured | 81.5% | Only MiMo-V2.5 measured |
| SWE-bench Verified (Vals AI) | Not measured | 71.0% | Only MiMo-V2.5 measured |
| Terminal-Bench 4 (Vals AI) | 27.8% | Not measured | Only Mistral Large 4 measured |
| Vibe Code Bench (Vals AI) | 78.4% | 42.2% | Mistral Large 4 |
| Code migration (Vals AI) | 30.6% | 14.2% | Mistral Large 4 |
| IOI (Vals AI) | 45.3% | Not measured | Only Mistral Large 4 measured |
| Terminal-Bench 2.1 (Vals AI) | Not measured | 60.7% | Only MiMo-V2.5 measured |
| SWE-bench Multimodal (Vals AI) | 33.1% | Not measured | Only Mistral Large 4 measured |
| Vibe Code Bench 1-100 (Vals AI) | 14.3% | Not measured | Only Mistral Large 4 measured |
| SciCode | 54.2% | 43.9% | Mistral Large 4 |
| Terminal-Bench Hard (Artificial Analysis run) | Not measured | 41.7% | Only MiMo-V2.5 measured |
| FrontierCode | 39.4% | Not measured | Only Mistral Large 4 measured |
| ALE-Bench | 1213.2 | 514.0 | Mistral Large 4 |
| LMArena Text: coding | 1478 | 1469 | Mistral Large 4 |
| LMArena Text: software and IT | 1467 | 1463 | Mistral Large 4 |
| LMArena WebDev: React | 1559 | 1425 | Mistral Large 4 |
| LMArena WebDev: HTML | 1487 | 1429 | Mistral Large 4 |
| Neither model has a result on the other 19 boards here | |||
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index10
| Benchmark | Mistral Large 4 | MiMo-V2.5 | Leader |
|---|---|---|---|
| AA Intelligence Index | 38.4 | 21.8 | Mistral Large 4 |
| Epoch Capabilities Index | 150.0 | Not measured | Only Mistral Large 4 measured |
Agentic workLike-for-likePublic boards, shown as published, kept out of the index40
| Benchmark | Mistral Large 4 | MiMo-V2.5 | Leader |
|---|---|---|---|
| AA Agentic Index | Not measured | 15.8 | Only MiMo-V2.5 measured |
| LiveBench research | 28.1% | Not measured | Only Mistral Large 4 measured |
| LiveBench browser | 8.0% | Not measured | Only Mistral Large 4 measured |
| LiveBench long agentic | 11.8% | Not measured | Only Mistral Large 4 measured |
| Finance Agent (Vals AI) | 54.7% | 36.7% | Mistral Large 4 |
| Tax Agent Bench (Vals AI) | 30.4% | 7.8% | Mistral Large 4 |
| Legal Research Bench (Vals AI) | 31.7% | 9.1% | Mistral Large 4 |
| Harvey's Legal Agent Benchmark (Vals AI) | 17.5% | Not measured | Only Mistral Large 4 measured |
| Excel Modeling Benchmark (Vals AI) | 56.2% | 55.1% | Mistral Large 4 |
| BioMysteryBench (Vals AI) | 67.0% | Not measured | Only Mistral Large 4 measured |
| τ²-Bench Telecom | Not measured | 90.6% | Only MiMo-V2.5 measured |
| Neither model has a result on the other 30 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index23
| Benchmark | Mistral Large 4 | MiMo-V2.5 | Leader |
|---|---|---|---|
| GPQA Diamond | Not measured | 81.6% | Only MiMo-V2.5 measured |
| LiveBench reasoning | 83.9% | Not measured | Only Mistral Large 4 measured |
| MysteryMechanism (Vals AI) | 12.2% | Not measured | Only Mistral Large 4 measured |
| MMMU Pro (Vals AI) | Not measured | 80.0% | Only MiMo-V2.5 measured |
| GPQA Diamond (Artificial Analysis run) | Not measured | 84.9% | Only MiMo-V2.5 measured |
| Humanity's Last Exam (Artificial Analysis run) | 35.0% | 27.2% | Mistral Large 4 |
| GPQA Diamond (Epoch AI run) | 88.1% | Not measured | Only Mistral Large 4 measured |
| Chess puzzles | 33.0% | Not measured | Only Mistral Large 4 measured |
| Mystery game puzzles | 17.0% | Not measured | Only Mistral Large 4 measured |
| LMArena Text: hard prompts | 1444 | 1450 | MiMo-V2.5 |
| LMArena Text: expert | 1444 | 1459 | MiMo-V2.5 |
| LMArena Text: hard prompts in English | 1442 | 1461 | MiMo-V2.5 |
| LMArena Vision: diagrams | 1288 | 1269 | Mistral Large 4 |
| LMArena Vision: homework | Not measured | 1262 | Only MiMo-V2.5 measured |
| Neither model has a result on the other 8 boards here | |||
MathLike-for-likePublic boards, shown as published, kept out of the index21
| Benchmark | Mistral Large 4 | MiMo-V2.5 | Leader |
|---|---|---|---|
| OTIS Mock AIME | 98.3% | Not measured | Only Mistral Large 4 measured |
| FrontierMath, tiers 1 to 3 | 58.6% | Not measured | Only Mistral Large 4 measured |
| FrontierMath, tier 4 | 26.8% | Not measured | Only Mistral Large 4 measured |
| ProofBench | 10.0% | 16.0% | MiMo-V2.5 |
| LMArena Text: math | 1469 | 1436 | Mistral Large 4 |
| LMArena Text: mathematical work | 1462 | 1451 | Mistral Large 4 |
| Neither model has a result on the other 7 boards here | |||
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index50
| Benchmark | Mistral Large 4 | MiMo-V2.5 | Leader |
|---|---|---|---|
| MMLU Pro | Not measured | 82.9% | Only MiMo-V2.5 measured |
| LegalBench (Vals AI) | Not measured | 78.9% | Only MiMo-V2.5 measured |
| CorpFin (Vals AI) | Not measured | 59.9% | Only MiMo-V2.5 measured |
| TaxEval (Vals AI) | Not measured | 71.8% | Only MiMo-V2.5 measured |
| MortgageTax (Vals AI) | Not measured | 59.3% | Only MiMo-V2.5 measured |
| MedCode (Vals AI) | 40.7% | 31.9% | Mistral Large 4 |
| SimpleQA Verified | 20.0% | Not measured | Only Mistral Large 4 measured |
| LMArena Text: science | 1448 | 1440 | Mistral Large 4 |
| LMArena Text: medicine and healthcare | 1433 | 1432 | Mistral Large 4 |
| LMArena Text: legal and government | 1425 | 1425 | Mistral Large 4 |
| LMArena Text: business and finance | 1439 | 1432 | Mistral Large 4 |
| Neither model has a result on the other 7 boards here | |||
Web designLike-for-likePublic boards, shown as published, kept out of the index53
| Benchmark | Mistral Large 4 | MiMo-V2.5 | Leader |
|---|---|---|---|
| Design Arena: websites | 1257 | 1265 | MiMo-V2.5 |
| Design Arena: UI components | 1272 | 1255 | Mistral Large 4 |
| Design Arena: game dev | 1225 | 1249 | MiMo-V2.5 |
| Design Arena: data viz | 1275 | 1250 | Mistral Large 4 |
| Design Arena: 3D | 1252 | 1215 | Mistral Large 4 |
| Design Arena: all code categories | 1259 | 1260 | MiMo-V2.5 |
| Design Arena: SVG | 1232 | 1179 | Mistral Large 4 |
| Design Arena: ASCII art | 1202 | 1140 | Mistral Large 4 |
| LiveBench design | 65.6% | Not measured | Only Mistral Large 4 measured |
GeneralLike-for-likePublic boards, shown as published, kept out of the index127
| Benchmark | Mistral Large 4 | MiMo-V2.5 | Leader |
|---|---|---|---|
| LiveBench data analysis | 76.5% | Not measured | Only Mistral Large 4 measured |
| SAGE (Vals AI) | Not measured | 43.3% | Only MiMo-V2.5 measured |
| MedScribe (Vals AI) | 80.4% | 72.2% | Mistral Large 4 |
| 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) | 81.3% | 73.0% | Mistral Large 4 |
| DTBench | 88.2% | Not measured | Only Mistral Large 4 measured |
| LMCA | 35.8% | Not measured | Only Mistral Large 4 measured |
| Surface Evolver Bench | 28.1% | Not measured | Only Mistral Large 4 measured |
| Furniture assembly | 20.8% | Not measured | Only Mistral Large 4 measured |
| LMArena Text | 1431 | 1428 | Mistral Large 4 |
| LMArena Text: instruction following | 1422 | 1435 | MiMo-V2.5 |
| LMArena Text: creative writing | 1363 | 1393 | MiMo-V2.5 |
| LMArena Vision | 1272 | 1247 | Mistral Large 4 |
| LMArena Text: English | 1433 | 1447 | MiMo-V2.5 |
| LMArena Text: non-English | 1422 | 1405 | Mistral Large 4 |
| LMArena Text: Chinese | 1492 | 1469 | Mistral Large 4 |
| LMArena Text: German | Not measured | 1421 | Only MiMo-V2.5 measured |
| LMArena Text: Japanese | 1415 | 1306 | Mistral Large 4 |
| LMArena Text: Korean | Not measured | 1361 | Only MiMo-V2.5 measured |
| LMArena Text: French | 1492 | 1448 | Mistral Large 4 |
| LMArena Text: Spanish | 1455 | 1414 | Mistral Large 4 |
| LMArena Text: Russian | 1417 | 1396 | Mistral Large 4 |
| LMArena Text: Polish | Not measured | 1413 | Only MiMo-V2.5 measured |
| LMArena Text: multi-turn | 1435 | 1445 | MiMo-V2.5 |
| LMArena Text: longer queries | 1428 | 1445 | MiMo-V2.5 |
| LMArena Text: writing and language | 1386 | 1409 | MiMo-V2.5 |
| LMArena Text: entertainment and media | 1378 | 1399 | MiMo-V2.5 |
| LMArena Vision: English | 1283 | 1259 | Mistral Large 4 |
| LMArena Vision: Chinese | Not measured | 1326 | Only MiMo-V2.5 measured |
| LMArena Vision: reading text | 1284 | 1256 | Mistral Large 4 |
| 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 12 boards here | |||
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | Mistral Large 4 | 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 4 | Xiaomi MiMo-V2.5 |
|---|---|---|
| Maker | Mistral AI | Xiaomi |
| Weights | No public weights listed | Open weights |
| Released | October 6, 2026 | April 22, 2026 |
| Context window | 1.05M | 1.05M |
| Input $/Mtok | $1.36 | $0.168 |
| Output $/Mtok | $4.18 | $0.336 |
| Coding index | 56.4 | 50.0 |
| Independent measurements behind it | 5 | 3 |
| Cost per solved task | Not computable | $0.01 |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is Mistral Large 4 better than MiMo-V2.5 for coding?
Pick Mistral Large 4 for coding: it scores 56.4 on the Vibe Coding Index against 50.0 for MiMo-V2.5. Pick MiMo-V2.5 for output tokens 12.4x cheaper ($0.336 vs $4.18 per million) and a larger context window (1.05M against 1.05M tokens).
Which is cheaper, Mistral Large 4 or MiMo-V2.5?
Mistral Large 4 costs $1.36 per million input tokens and $4.18 per million output tokens; MiMo-V2.5 costs $0.168 and $0.336. Cost per solved task is known for MiMo-V2.5 only.
Which has the bigger context window, Mistral Large 4 or MiMo-V2.5?
MiMo-V2.5, with 1.05M tokens against 1.05M.
How many benchmarks is the Mistral Large 4 vs MiMo-V2.5 comparison based on?
54 benchmarks have a result for both models as of October 22, 2026. Mistral Large 4's coding index rests on 5 independent benchmarks and MiMo-V2.5's on 3. Where only one model has a result, the page says so instead of naming a winner.