Mistral Large 4 vs MiMo-V2.6-Flash
Mistral Large 4 leads MiMo-V2.6-Flash on coding, 56.4 to 54.7 on the Vibe Coding Index, and MiMo-V2.6-Flash costs 14.9x less per output token ($0.28 vs $4.18 per million). Updated October 22, 2026; 51 benchmarks have a result for both.
Mistral Large 4 or MiMo-V2.6-Flash: which to pick
Mistral Large 4 and MiMo-V2.6-Flash are level for coding, 56.4 against 54.7 on the Vibe Coding Index, so price and context decide.
Pick MiMo-V2.6-Flash for output tokens 14.9x cheaper ($0.28 vs $4.18 per million) and a larger context window (1.05M against 1.05M tokens). Pick Mistral Large 4 for work measured by Terminal-Bench 4 (Vals AI) or SciCode, where it leads.
- Shared results
- 51
- Mistral Large 4 only
- 30
- MiMo-V2.6-Flash only
- 15
- 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
Level: 56.4 against 54.7, inside 2 points.
5 and 3 benchmarks behind the scores
Intelligence
AA Intelligence Index
Mistral Large 4
Mistral Large 4 leads, 38.4 against 37.9.
Same board, both measured
Web design
Design Arena: websites
No call
Only Mistral Large 4 has a Design Arena: websites result, 1257.
Directional only
General
Vals Index
No call
Only MiMo-V2.6-Flash has a Vals Index result, 54.8%.
Directional only
Long documents
Listed context window
MiMo-V2.6-Flash
MiMo-V2.6-Flash takes 1.05M tokens against 1.05M.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
MiMo-V2.6-Flash
Mistral Large 4 $0.0034, MiMo-V2.6-Flash $0.0003 per turn.
List prices
At a glance
- Coding index
- Mistral Large 4 56.4 from 5 benchmarks, MiMo-V2.6-Flash 54.7 from 3 benchmarks.
- Widest category
- Math, 19.0 points apart on average over 3 shared benchmarks.
- Widest single gap
- ProofBench: Mistral Large 4 10.0% against MiMo-V2.6-Flash 63.0%, 53.0 points apart on a 0 to 100 scale.
- Output price
- Mistral Large 4 $4.18 against MiMo-V2.6-Flash $0.28 per million output tokens, 14.9x apart.
- Context window
- Mistral Large 4 takes 1.05M tokens, MiMo-V2.6-Flash 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-V2.6-Flash | Ties |
|---|---|---|---|---|
| Coding | 2 | 9 | ||
| Intelligence | 1 | 0 | ||
| Agentic work | 2 | 4 | ||
| Reasoning | 1 | 5 | ||
| Math | 0 | 3 | ||
| Knowledge | 0 | 5 | ||
| General | 8 | 11 | ||
| All shared boards | 14 | 37 |
CodingLike-for-likeSix of these boards feed the Vibe Coding Index29
| Benchmark | Mistral Large 4 | MiMo-V2.6-Flash | Leader |
|---|---|---|---|
| LiveBench coding | 60.0% | Not measured | Only Mistral Large 4 measured |
| LMArena WebDev | 1543 | 1634 | MiMo-V2.6-Flash |
| Terminal-Bench 4 (Vals AI) | 27.8% | 24.2% | Mistral Large 4 |
| Vibe Code Bench (Vals AI) | 78.4% | 79.0% | MiMo-V2.6-Flash |
| Code migration (Vals AI) | 30.6% | 40.9% | MiMo-V2.6-Flash |
| ProgramBench (Vals AI) | Not measured | 0.5% | Only MiMo-V2.6-Flash measured |
| IOI (Vals AI) | 45.3% | 47.7% | MiMo-V2.6-Flash |
| Terminal-Bench 2.1 (Vals AI) | Not measured | 76.4% | Only MiMo-V2.6-Flash 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 |
| CyberBench (Vals AI) | Not measured | 75.4% | Only MiMo-V2.6-Flash measured |
| SciCode | 54.2% | 51.3% | Mistral Large 4 |
| FrontierCode | 39.4% | Not measured | Only Mistral Large 4 measured |
| ALE-Bench | 1213.2 | 1244.2 | MiMo-V2.6-Flash |
| LMArena Text: coding | 1478 | 1499 | MiMo-V2.6-Flash |
| LMArena Text: software and IT | 1467 | 1497 | MiMo-V2.6-Flash |
| LMArena WebDev: React | 1559 | 1648 | MiMo-V2.6-Flash |
| LMArena WebDev: HTML | 1487 | 1641 | MiMo-V2.6-Flash |
| LMArena WebDev: from an image | Not measured | 1596 | Only MiMo-V2.6-Flash measured |
| Neither model has a result on the other 20 boards here | |||
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index10
| Benchmark | Mistral Large 4 | MiMo-V2.6-Flash | Leader |
|---|---|---|---|
| AA Intelligence Index | 38.4 | 37.9 | 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 index24
| Benchmark | Mistral Large 4 | MiMo-V2.6-Flash | Leader |
|---|---|---|---|
| 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 |
| SREBench (Vals AI) | Not measured | 4.2% | Only MiMo-V2.6-Flash measured |
| Finance Agent (Vals AI) | 54.7% | 56.3% | MiMo-V2.6-Flash |
| Tax Agent Bench (Vals AI) | 30.4% | 28.5% | Mistral Large 4 |
| Legal Research Bench (Vals AI) | 31.7% | 38.0% | MiMo-V2.6-Flash |
| Harvey's Legal Agent Benchmark (Vals AI) | 17.5% | 13.3% | Mistral Large 4 |
| Excel Modeling Benchmark (Vals AI) | 56.2% | 65.5% | MiMo-V2.6-Flash |
| BioMysteryBench (Vals AI) | 67.0% | 69.3% | MiMo-V2.6-Flash |
| Terminal-Bench-Science (Vals AI) | Not measured | 4.3% | Only MiMo-V2.6-Flash measured |
| Vals Science Index | Not measured | 31.7% | Only MiMo-V2.6-Flash measured |
| Neither model has a result on the other 29 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index15
| Benchmark | Mistral Large 4 | MiMo-V2.6-Flash | Leader |
|---|---|---|---|
| LiveBench reasoning | 83.9% | Not measured | Only Mistral Large 4 measured |
| MysteryMechanism (Vals AI) | 12.2% | 21.6% | MiMo-V2.6-Flash |
| Humanity's Last Exam (Artificial Analysis run) | 35.0% | 35.1% | MiMo-V2.6-Flash |
| 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 | 1475 | MiMo-V2.6-Flash |
| LMArena Text: expert | 1444 | 1496 | MiMo-V2.6-Flash |
| LMArena Text: hard prompts in English | 1442 | 1493 | MiMo-V2.6-Flash |
| LMArena Vision: diagrams | 1288 | 1276 | Mistral Large 4 |
| LMArena Vision: homework | Not measured | 1283 | Only MiMo-V2.6-Flash measured |
| Neither model has a result on the other 11 boards here | |||
MathLike-for-likePublic boards, shown as published, kept out of the index03
| Benchmark | Mistral Large 4 | MiMo-V2.6-Flash | 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% | 63.0% | MiMo-V2.6-Flash |
| LMArena Text: math | 1469 | 1476 | MiMo-V2.6-Flash |
| LMArena Text: mathematical work | 1462 | 1478 | MiMo-V2.6-Flash |
| Neither model has a result on the other 7 boards here | |||
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index05
| Benchmark | Mistral Large 4 | MiMo-V2.6-Flash | Leader |
|---|---|---|---|
| MedCode (Vals AI) | 40.7% | 41.1% | MiMo-V2.6-Flash |
| SimpleQA Verified | 20.0% | Not measured | Only Mistral Large 4 measured |
| LMArena Text: science | 1448 | 1462 | MiMo-V2.6-Flash |
| LMArena Text: medicine and healthcare | 1433 | 1439 | MiMo-V2.6-Flash |
| LMArena Text: legal and government | 1425 | 1441 | MiMo-V2.6-Flash |
| LMArena Text: business and finance | 1439 | 1454 | MiMo-V2.6-Flash |
| Neither model has a result on the other 12 boards here | |||
Web designDirectional onlyPublic boards, shown as published, kept out of the index9 boards, none shared
| Benchmark | Mistral Large 4 | MiMo-V2.6-Flash | Leader |
|---|---|---|---|
| Design Arena: websites | 1257 | Not measured | Only Mistral Large 4 measured |
| Design Arena: UI components | 1272 | Not measured | Only Mistral Large 4 measured |
| Design Arena: game dev | 1225 | Not measured | Only Mistral Large 4 measured |
| Design Arena: data viz | 1275 | Not measured | Only Mistral Large 4 measured |
| Design Arena: 3D | 1252 | Not measured | Only Mistral Large 4 measured |
| Design Arena: all code categories | 1259 | Not measured | Only Mistral Large 4 measured |
| Design Arena: SVG | 1232 | Not measured | Only Mistral Large 4 measured |
| Design Arena: ASCII art | 1202 | Not measured | Only Mistral Large 4 measured |
| LiveBench design | 65.6% | Not measured | Only Mistral Large 4 measured |
GeneralLike-for-likePublic boards, shown as published, kept out of the index811
| Benchmark | Mistral Large 4 | MiMo-V2.6-Flash | Leader |
|---|---|---|---|
| Vals Index | Not measured | 54.8% | Only MiMo-V2.6-Flash measured |
| LiveBench data analysis | 76.5% | Not measured | Only Mistral Large 4 measured |
| Public Benefits Bench (Vals AI) | Not measured | 67.6% | Only MiMo-V2.6-Flash measured |
| SAGE (Vals AI) | Not measured | 43.5% | Only MiMo-V2.6-Flash measured |
| MedScribe (Vals AI) | 80.4% | 85.3% | MiMo-V2.6-Flash |
| Long context reasoning (AA-LCR) | 81.3% | 74.3% | 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 | 1453 | MiMo-V2.6-Flash |
| LMArena Text: instruction following | 1422 | 1452 | MiMo-V2.6-Flash |
| LMArena Text: creative writing | 1363 | 1403 | MiMo-V2.6-Flash |
| LMArena Vision | 1272 | 1256 | Mistral Large 4 |
| LMArena Text: English | 1433 | 1476 | MiMo-V2.6-Flash |
| LMArena Text: non-English | 1422 | 1431 | MiMo-V2.6-Flash |
| LMArena Text: Chinese | 1492 | 1509 | MiMo-V2.6-Flash |
| LMArena Text: German | Not measured | 1458 | Only MiMo-V2.6-Flash measured |
| LMArena Text: Japanese | 1415 | 1359 | Mistral Large 4 |
| LMArena Text: Korean | Not measured | 1425 | Only MiMo-V2.6-Flash measured |
| LMArena Text: French | 1492 | 1480 | Mistral Large 4 |
| LMArena Text: Spanish | 1455 | 1453 | Mistral Large 4 |
| LMArena Text: Russian | 1417 | 1409 | Mistral Large 4 |
| LMArena Text: Polish | Not measured | 1455 | Only MiMo-V2.6-Flash measured |
| LMArena Text: multi-turn | 1435 | 1447 | MiMo-V2.6-Flash |
| LMArena Text: longer queries | 1428 | 1459 | MiMo-V2.6-Flash |
| LMArena Text: writing and language | 1386 | 1424 | MiMo-V2.6-Flash |
| LMArena Text: entertainment and media | 1378 | 1415 | MiMo-V2.6-Flash |
| LMArena Vision: English | 1283 | 1269 | Mistral Large 4 |
| LMArena Vision: reading text | 1284 | 1270 | Mistral Large 4 |
| LMArena Vision: creative writing | Not measured | 1231 | Only MiMo-V2.6-Flash 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 4 | MiMo-V2.6-Flash | 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-V2.6-Flash costs less
Repository review
50K input + 3K output tokens
MiMo-V2.6-Flash costs less
Agent loop
200K input + 10K output tokens
MiMo-V2.6-Flash 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-V2.6-Flash |
|---|---|---|
| Maker | Mistral AI | Xiaomi |
| Weights | No public weights listed | Open weights |
| Released | October 6, 2026 | September 21, 2026 |
| Context window | 1.05M | 1.05M |
| Input $/Mtok | $1.36 | $0.14 |
| Output $/Mtok | $4.18 | $0.28 |
| Coding index | 56.4 | 54.7 |
| Independent measurements behind it | 5 | 3 |
| Cost per solved task | Not computable | Not computable |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is Mistral Large 4 better than MiMo-V2.6-Flash for coding?
Mistral Large 4 and MiMo-V2.6-Flash are level for coding, 56.4 against 54.7 on the Vibe Coding Index, so price and context decide. Pick MiMo-V2.6-Flash for output tokens 14.9x cheaper ($0.28 vs $4.18 per million) and a larger context window (1.05M against 1.05M tokens). Pick Mistral Large 4 for work measured by Terminal-Bench 4 (Vals AI) or SciCode, where it leads.
Which is cheaper, Mistral Large 4 or MiMo-V2.6-Flash?
Mistral Large 4 costs $1.36 per million input tokens and $4.18 per million output tokens; MiMo-V2.6-Flash costs $0.14 and $0.28. Cost per solved task is known for neither of them.
Which has the bigger context window, Mistral Large 4 or MiMo-V2.6-Flash?
MiMo-V2.6-Flash, with 1.05M tokens against 1.05M.
How many benchmarks is the Mistral Large 4 vs MiMo-V2.6-Flash comparison based on?
51 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-V2.6-Flash's on 3. Where only one model has a result, the page says so instead of naming a winner.