Mistral Large 4 vs MiMo-V2.5-Pro
Updated October 21, 2026. 53 benchmarks have a result for both. Coding is ranked on the Vibe Coding Index; every other board is shown as published.
Decision reading
Pick Mistral Large 4 for coding: it scores 55.3 on the Vibe Coding Index against 40.0 for MiMo-V2.5-Pro.
Pick MiMo-V2.5-Pro when output tokens cost 6.9x less, or when the context window is larger, 1.05M against 1.05M tokens.
- Shared results
- 53
- Mistral Large 4 only
- 28
- MiMo-V2.5-Pro only
- 17
- Like-for-like categories
- 8 of 9
Shared results can support a head-to-head reading. Results only one model has describe coverage, not superiority.
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, four public coding benchmarks
Mistral Large 4
Mistral Large 4 scores 55.3 against 40.0.
2 and 1 benchmarks behind the scores
Intelligence
AA Intelligence Index
Mistral Large 4
Mistral Large 4 leads, 38.4 against 26.0.
Same board, both measured
Agentic work
AA Agentic Index
No call
Only MiMo-V2.5-Pro has a AA Agentic Index result, 21.3.
Directional only
Reasoning
GPQA Diamond
No call
Only MiMo-V2.5-Pro has a GPQA Diamond result, 82.6%.
Directional only
Knowledge
MMLU Pro
No call
Only MiMo-V2.5-Pro has a MMLU Pro result, 84.6%.
Directional only
Web design
Design Arena: websites
MiMo-V2.5-Pro
MiMo-V2.5-Pro leads, 1267 against 1258.
Same board, both measured
Long documents
Listed context window
MiMo-V2.5-Pro
MiMo-V2.5-Pro takes 1.05M tokens against 1.05M.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
MiMo-V2.5-Pro
Mistral Large 4 $0.0034, MiMo-V2.5-Pro $0.0006 per turn.
List prices
Cost per solved task
One SWE-bench Verified task, solved
No call
Only MiMo-V2.5-Pro has the number, $0.03.
Directional only
At a glance
- Coding index
- Mistral Large 4 55.3 from 2 benchmarks, MiMo-V2.5-Pro 40.0 from 1 benchmark.
- Widest category
- Coding, 12.9 points apart on average over 10 shared benchmarks.
- Widest single gap
- Vibe Code Bench (Vals AI): Mistral Large 4 78.4% against MiMo-V2.5-Pro 34.1%, 44.3 points apart on a 0 to 100 scale.
- Output price
- Mistral Large 4 $4.18 against MiMo-V2.5-Pro $0.609 per million output tokens, 6.9x apart.
- Context window
- Mistral Large 4 takes 1.05M tokens, MiMo-V2.5-Pro 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-Pro | Ties |
|---|---|---|---|---|
| Coding | 8 | 2 | ||
| Intelligence | 1 | 0 | ||
| Agentic work | 4 | 0 | ||
| Reasoning | 0 | 4 | ||
| Math | 0 | 3 | ||
| Knowledge | 1 | 4 | ||
| Web design | 5 | 3 | ||
| General | 5 | 13 | ||
| All shared boards | 24 | 29 |
CodingLike-for-likeFour of these boards feed the Vibe Coding Index82
| Benchmark | Mistral Large 4 | MiMo-V2.5-Pro | Leader |
|---|---|---|---|
| LiveBench coding | 60.0% | Not measured | Only Mistral Large 4 measured |
| LMArena WebDev | 1543 | 1480 | Mistral Large 4 |
| AA Coding Index | Not measured | 60.2 | Only MiMo-V2.5-Pro measured |
| LiveCodeBench (Vals AI) | Not measured | 81.3% | Only MiMo-V2.5-Pro measured |
| SWE-bench Verified (Vals AI) | Not measured | 74.0% | Only MiMo-V2.5-Pro measured |
| Terminal-Bench 4 (Vals AI) | 27.8% | 0.5% | Mistral Large 4 |
| Vibe Code Bench (Vals AI) | 78.4% | 34.1% | Mistral Large 4 |
| Code migration (Vals AI) | 30.6% | 21.6% | Mistral Large 4 |
| IOI (Vals AI) | 45.3% | Not measured | Only Mistral Large 4 measured |
| Terminal-Bench 2.1 (Vals AI) | Not measured | 57.3% | Only MiMo-V2.5-Pro 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% | 50.6% | Mistral Large 4 |
| Terminal-Bench Hard (Artificial Analysis run) | Not measured | 43.2% | Only MiMo-V2.5-Pro measured |
| FrontierCode | 39.4% | Not measured | Only Mistral Large 4 measured |
| ALE-Bench | 1213.2 | 899.8 | Mistral Large 4 |
| LMArena Text: coding | 1478 | 1501 | MiMo-V2.5-Pro |
| LMArena Text: software and IT | 1467 | 1495 | MiMo-V2.5-Pro |
| LMArena WebDev: React | 1559 | 1469 | Mistral Large 4 |
| LMArena WebDev: HTML | 1487 | 1473 | Mistral Large 4 |
| Neither model has a result on the other 18 boards here | |||
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index10
| Benchmark | Mistral Large 4 | MiMo-V2.5-Pro | Leader |
|---|---|---|---|
| AA Intelligence Index | 38.4 | 26.0 | 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-Pro | Leader |
|---|---|---|---|
| AA Agentic Index | Not measured | 21.3 | Only MiMo-V2.5-Pro 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% | 41.5% | Mistral Large 4 |
| Tax Agent Bench (Vals AI) | 30.4% | 11.5% | Mistral Large 4 |
| Legal Research Bench (Vals AI) | 31.7% | 15.9% | 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% | 55.2% | Mistral Large 4 |
| BioMysteryBench (Vals AI) | 67.0% | Not measured | Only Mistral Large 4 measured |
| τ²-Bench Telecom | Not measured | 94.2% | Only MiMo-V2.5-Pro measured |
| Neither model has a result on the other 28 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index04
| Benchmark | Mistral Large 4 | MiMo-V2.5-Pro | Leader |
|---|---|---|---|
| GPQA Diamond | Not measured | 82.6% | Only MiMo-V2.5-Pro measured |
| LiveBench reasoning | 83.9% | Not measured | Only Mistral Large 4 measured |
| MysteryMechanism (Vals AI) | 12.2% | Not measured | Only Mistral Large 4 measured |
| GPQA Diamond (Artificial Analysis run) | Not measured | 86.6% | Only MiMo-V2.5-Pro measured |
| Humanity's Last Exam (Artificial Analysis run) | 35.0% | 35.7% | MiMo-V2.5-Pro |
| 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 | 1486 | MiMo-V2.5-Pro |
| LMArena Text: expert | 1444 | 1501 | MiMo-V2.5-Pro |
| LMArena Text: hard prompts in English | 1442 | 1494 | MiMo-V2.5-Pro |
| LMArena Vision: diagrams | 1288 | Not measured | Only Mistral Large 4 measured |
| Neither model has a result on the other 9 boards here | |||
MathLike-for-likePublic boards, shown as published, kept out of the index03
| Benchmark | Mistral Large 4 | MiMo-V2.5-Pro | 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% | 22.0% | MiMo-V2.5-Pro |
| LMArena Text: math | 1469 | 1481 | MiMo-V2.5-Pro |
| LMArena Text: mathematical work | 1462 | 1491 | MiMo-V2.5-Pro |
| Neither model has a result on the other 7 boards here | |||
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index14
| Benchmark | Mistral Large 4 | MiMo-V2.5-Pro | Leader |
|---|---|---|---|
| MMLU Pro | Not measured | 84.6% | Only MiMo-V2.5-Pro measured |
| LegalBench (Vals AI) | Not measured | 77.1% | Only MiMo-V2.5-Pro measured |
| CorpFin (Vals AI) | Not measured | 61.4% | Only MiMo-V2.5-Pro measured |
| TaxEval (Vals AI) | Not measured | 73.8% | Only MiMo-V2.5-Pro measured |
| MedCode (Vals AI) | 40.7% | 32.5% | Mistral Large 4 |
| SimpleQA Verified | 20.0% | Not measured | Only Mistral Large 4 measured |
| LMArena Text: science | 1448 | 1482 | MiMo-V2.5-Pro |
| LMArena Text: medicine and healthcare | 1433 | 1473 | MiMo-V2.5-Pro |
| LMArena Text: legal and government | 1425 | 1474 | MiMo-V2.5-Pro |
| LMArena Text: business and finance | 1439 | 1466 | MiMo-V2.5-Pro |
| 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-Pro | Leader |
|---|---|---|---|
| Design Arena: websites | 1258 | 1267 | MiMo-V2.5-Pro |
| Design Arena: UI components | 1275 | 1248 | Mistral Large 4 |
| Design Arena: game dev | 1226 | 1261 | MiMo-V2.5-Pro |
| Design Arena: data viz | 1274 | 1257 | Mistral Large 4 |
| Design Arena: 3D | 1253 | 1244 | Mistral Large 4 |
| Design Arena: all code categories | 1259 | 1266 | MiMo-V2.5-Pro |
| Design Arena: SVG | 1232 | 1181 | Mistral Large 4 |
| Design Arena: ASCII art | 1203 | 1157 | 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 index513
| Benchmark | Mistral Large 4 | MiMo-V2.5-Pro | Leader |
|---|---|---|---|
| LiveBench data analysis | 76.5% | Not measured | Only Mistral Large 4 measured |
| MedScribe (Vals AI) | 80.4% | 83.7% | MiMo-V2.5-Pro |
| IFBench | Not measured | 79.9% | Only MiMo-V2.5-Pro measured |
| Long context reasoning (AA-LCR) | 81.3% | 79.7% | Mistral Large 4 |
| DTBench | 88.2% | 84.5% | Mistral Large 4 |
| LMCA | 35.8% | 29.5% | Mistral Large 4 |
| 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 | 1464 | MiMo-V2.5-Pro |
| LMArena Text: instruction following | 1422 | 1475 | MiMo-V2.5-Pro |
| LMArena Text: creative writing | 1363 | 1438 | MiMo-V2.5-Pro |
| LMArena Vision | 1272 | Not measured | Only Mistral Large 4 measured |
| LMArena Text: English | 1433 | 1477 | MiMo-V2.5-Pro |
| LMArena Text: non-English | 1422 | 1448 | MiMo-V2.5-Pro |
| LMArena Text: Chinese | 1492 | 1507 | MiMo-V2.5-Pro |
| LMArena Text: German | Not measured | 1459 | Only MiMo-V2.5-Pro measured |
| LMArena Text: Japanese | 1415 | 1410 | Mistral Large 4 |
| LMArena Text: Korean | Not measured | 1435 | Only MiMo-V2.5-Pro measured |
| LMArena Text: French | 1492 | 1487 | Mistral Large 4 |
| LMArena Text: Spanish | 1455 | 1469 | MiMo-V2.5-Pro |
| LMArena Text: Russian | 1417 | 1449 | MiMo-V2.5-Pro |
| LMArena Text: Polish | Not measured | 1464 | Only MiMo-V2.5-Pro measured |
| LMArena Text: multi-turn | 1435 | 1476 | MiMo-V2.5-Pro |
| LMArena Text: longer queries | 1428 | 1481 | MiMo-V2.5-Pro |
| LMArena Text: writing and language | 1386 | 1451 | MiMo-V2.5-Pro |
| LMArena Text: entertainment and media | 1378 | 1438 | MiMo-V2.5-Pro |
| LMArena Vision: English | 1283 | Not measured | Only Mistral Large 4 measured |
| LMArena Vision: reading text | 1284 | Not measured | Only Mistral Large 4 measured |
| Neither model has a result on the other 18 boards here | |||
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | Mistral Large 4 | MiMo-V2.5-Pro | 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-Pro costs less
Repository review
50K input + 3K output tokens
MiMo-V2.5-Pro costs less
Agent loop
200K input + 10K output tokens
MiMo-V2.5-Pro 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-Pro |
|---|---|---|
| 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 | $0.3045 |
| Output $/Mtok | $4.18 | $0.609 |
| Coding index | 55.3 | 40.0 |
| Independent measurements behind it | 2 | 1 |
| Cost per solved task | Not computable | $0.03 |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is Mistral Large 4 better than MiMo-V2.5-Pro for coding?
Pick Mistral Large 4 for coding: it scores 55.3 on the Vibe Coding Index against 40.0 for MiMo-V2.5-Pro. Pick MiMo-V2.5-Pro when output tokens cost 6.9x less, or when the context window is larger, 1.05M against 1.05M tokens.
Which is cheaper, Mistral Large 4 or MiMo-V2.5-Pro?
Mistral Large 4 costs $1.36 per million input tokens and $4.18 per million output tokens; MiMo-V2.5-Pro costs $0.3045 and $0.609. Cost per solved task is known for MiMo-V2.5-Pro only.
Which has the bigger context window, Mistral Large 4 or MiMo-V2.5-Pro?
MiMo-V2.5-Pro, with 1.05M tokens against 1.05M.
How many benchmarks is the Mistral Large 4 vs MiMo-V2.5-Pro comparison based on?
53 benchmarks have a result for both models as of October 21, 2026. Mistral Large 4's coding index rests on 2 independent benchmarks and MiMo-V2.5-Pro's on 1. Where only one model has a result, the page says so instead of naming a winner.