Kimi K3.1 Pro vs Mistral Large 4
Kimi K3.1 Pro leads Mistral Large 4 on coding, 82.2 to 56.4 on the Vibe Coding Index, and Mistral Large 4 costs 2.4x less per output token ($4.18 vs $10.00 per million). Updated October 29, 2026; 32 benchmarks have a result for both.
Kimi K3.1 Pro or Mistral Large 4: which to pick
Pick Kimi K3.1 Pro for coding: it scores 82.2 on the Vibe Coding Index against 56.4 for Mistral Large 4, though on 4 benchmarks against 5.
Pick Mistral Large 4 for output tokens 2.4x cheaper ($4.18 vs $10.00 per million) and work measured by Tax Agent Bench (Vals AI) or Harvey's Legal Agent Benchmark (Vals AI), where it leads.
- Shared results
- 32
- Kimi K3.1 Pro only
- 3
- Mistral Large 4 only
- 53
- 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
Kimi K3.1 Pro
Kimi K3.1 Pro scores 82.2 against 56.4.
4 and 5 benchmarks behind the scores
Intelligence
AA Intelligence Index
Kimi K3.1 Pro
Kimi K3.1 Pro leads, 46.0 against 25.3.
Same board, both measured
Web design
Design Arena: websites
Kimi K3.1 Pro
Kimi K3.1 Pro leads, 1325 against 1256.
Same board, both measured
General
Vals Index
No call
Only Kimi K3.1 Pro has a Vals Index result, 62.5%.
Directional only
Long documents
Listed context window
No call
Both take 1.05M tokens.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
Mistral Large 4
Kimi K3.1 Pro $0.0070, Mistral Large 4 $0.0034 per turn.
List prices
At a glance
- Coding index
- Kimi K3.1 Pro 82.2 from 4 benchmarks, Mistral Large 4 56.4 from 5 benchmarks.
- Widest category
- Math, 57.2 points apart on average over 2 shared benchmarks.
- Widest single gap
- ProofBench: Kimi K3.1 Pro 91.0% against Mistral Large 4 10.0%, 81.0 points apart on a 0 to 100 scale.
- Output price
- Kimi K3.1 Pro $10.00 against Mistral Large 4 $4.18 per million output tokens, 2.4x apart.
- Context window
- Both take 1.05M tokens.
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 | Kimi K3.1 Pro | Bars | Mistral Large 4 | Ties |
|---|---|---|---|---|
| Coding | 9 | 0 | ||
| Intelligence | 1 | 0 | ||
| Agentic work | 5 | 2 | ||
| Reasoning | 3 | 0 | ||
| Math | 2 | 0 | ||
| Web design | 8 | 0 | ||
| General | 2 | 0 | ||
| All shared boards | 30 | 2 |
CodingLike-for-likeSix of these boards feed the Vibe Coding Index90
| Benchmark | Kimi K3.1 Pro | Mistral Large 4 | Leader |
|---|---|---|---|
| LiveBench coding | 81.8% | 60.0% | Kimi K3.1 Pro |
| LMArena WebDev | 1695 | 1544 | Kimi K3.1 Pro |
| Terminal-Bench 4 (Vals AI) | 63.6% | 27.8% | Kimi K3.1 Pro |
| Vibe Code Bench (Vals AI) | 84.9% | 78.4% | Kimi K3.1 Pro |
| Code migration (Vals AI) | Not measured | 30.6% | Only Mistral Large 4 measured |
| IOI (Vals AI) | 81.9% | 45.3% | Kimi K3.1 Pro |
| SWE-bench Multimodal (Vals AI) | Not measured | 33.1% | Only Mistral Large 4 measured |
| Vibe Code Bench 1-100 (Vals AI) | Not measured | 14.3% | Only Mistral Large 4 measured |
| SciCode | 60.8% | 54.2% | Kimi K3.1 Pro |
| FrontierCode | Not measured | 39.4% | Only Mistral Large 4 measured |
| ALE-Bench | 1932.8 | 1213.2 | Kimi K3.1 Pro |
| LMArena Text: coding | Not measured | 1478 | Only Mistral Large 4 measured |
| LMArena Text: software and IT | Not measured | 1467 | Only Mistral Large 4 measured |
| LMArena WebDev: React | 1701 | 1559 | Kimi K3.1 Pro |
| LMArena WebDev: HTML | 1706 | 1495 | Kimi K3.1 Pro |
| Neither model has a result on the other 28 boards here | |||
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index10
| Benchmark | Kimi K3.1 Pro | Mistral Large 4 | Leader |
|---|---|---|---|
| AA Intelligence Index | 46.0 | 25.3 | Kimi K3.1 Pro |
| Epoch Capabilities Index | Not measured | 150.0 | Only Mistral Large 4 measured |
Agentic workLike-for-likePublic boards, shown as published, kept out of the index52
| Benchmark | Kimi K3.1 Pro | Mistral Large 4 | Leader |
|---|---|---|---|
| LiveBench research | 77.9% | 28.1% | Kimi K3.1 Pro |
| LiveBench browser | 75.9% | 0.6% | Kimi K3.1 Pro |
| LiveBench long agentic | 39.1% | 8.8% | Kimi K3.1 Pro |
| Finance Agent (Vals AI) | Not measured | 54.7% | Only Mistral Large 4 measured |
| Tax Agent Bench (Vals AI) | 24.9% | 30.4% | Mistral Large 4 |
| Legal Research Bench (Vals AI) | 37.5% | 31.7% | Kimi K3.1 Pro |
| Harvey's Legal Agent Benchmark (Vals AI) | 11.7% | 17.5% | Mistral Large 4 |
| Excel Modeling Benchmark (Vals AI) | Not measured | 56.2% | Only Mistral Large 4 measured |
| BioMysteryBench (Vals AI) | 75.6% | 67.0% | Kimi K3.1 Pro |
| Terminal-Bench-Science (Vals AI) | 31.4% | Not measured | Only Kimi K3.1 Pro measured |
| Vals Science Index | 44.4% | Not measured | Only Kimi K3.1 Pro measured |
| APEX-Agents | Not measured | 51.6% | Only Mistral Large 4 measured |
| Neither model has a result on the other 30 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index30
| Benchmark | Kimi K3.1 Pro | Mistral Large 4 | Leader |
|---|---|---|---|
| LiveBench reasoning | 91.1% | 83.9% | Kimi K3.1 Pro |
| MysteryMechanism (Vals AI) | 26.1% | 12.2% | Kimi K3.1 Pro |
| Humanity's Last Exam (Artificial Analysis run) | 52.5% | 35.0% | Kimi K3.1 Pro |
| GPQA Diamond (Epoch AI run) | Not measured | 88.1% | Only Mistral Large 4 measured |
| Chess puzzles | Not measured | 33.0% | Only Mistral Large 4 measured |
| Mystery game puzzles | Not measured | 17.0% | Only Mistral Large 4 measured |
| LMArena Text: hard prompts | Not measured | 1444 | Only Mistral Large 4 measured |
| LMArena Text: expert | Not measured | 1447 | Only Mistral Large 4 measured |
| LMArena Text: hard prompts in English | Not measured | 1441 | Only Mistral Large 4 measured |
| LMArena Vision: diagrams | Not measured | 1288 | Only Mistral Large 4 measured |
| Neither model has a result on the other 13 boards here | |||
MathLike-for-likePublic boards, shown as published, kept out of the index20
| Benchmark | Kimi K3.1 Pro | Mistral Large 4 | Leader |
|---|---|---|---|
| OTIS Mock AIME | Not measured | 98.3% | Only Mistral Large 4 measured |
| FrontierMath, tiers 1 to 3 | Not measured | 58.6% | Only Mistral Large 4 measured |
| FrontierMath, tier 4 | Not measured | 26.8% | Only Mistral Large 4 measured |
| ProofBench | 91.0% | 10.0% | Kimi K3.1 Pro |
| LMArena Text: math | Not measured | 1468 | Only Mistral Large 4 measured |
| LMArena Text: mathematical work | Not measured | 1468 | Only Mistral Large 4 measured |
| MathArena | 59.6% | 26.2% | Kimi K3.1 Pro |
| Neither model has a result on the other 7 boards here | |||
KnowledgeDirectional onlyPublic boards, shown as published, kept out of the index6 boards, none shared
| Benchmark | Kimi K3.1 Pro | Mistral Large 4 | Leader |
|---|---|---|---|
| MedCode (Vals AI) | Not measured | 40.7% | Only Mistral Large 4 measured |
| SimpleQA Verified | Not measured | 20.0% | Only Mistral Large 4 measured |
| LMArena Text: science | Not measured | 1443 | Only Mistral Large 4 measured |
| LMArena Text: medicine and healthcare | Not measured | 1428 | Only Mistral Large 4 measured |
| LMArena Text: legal and government | Not measured | 1428 | Only Mistral Large 4 measured |
| LMArena Text: business and finance | Not measured | 1439 | Only Mistral Large 4 measured |
| Neither model has a result on the other 14 boards here | |||
Web designLike-for-likePublic boards, shown as published, kept out of the index80
| Benchmark | Kimi K3.1 Pro | Mistral Large 4 | Leader |
|---|---|---|---|
| Design Arena: websites | 1325 | 1256 | Kimi K3.1 Pro |
| Design Arena: UI components | 1400 | 1270 | Kimi K3.1 Pro |
| Design Arena: game dev | 1410 | 1225 | Kimi K3.1 Pro |
| Design Arena: data viz | 1300 | 1274 | Kimi K3.1 Pro |
| Design Arena: 3D | 1451 | 1248 | Kimi K3.1 Pro |
| Design Arena: all code categories | 1354 | 1258 | Kimi K3.1 Pro |
| Design Arena: SVG | 1328 | 1230 | Kimi K3.1 Pro |
| Design Arena: ASCII art | Not measured | 1207 | Only Mistral Large 4 measured |
| LiveBench design | 77.8% | 65.6% | Kimi K3.1 Pro |
GeneralLike-for-likePublic boards, shown as published, kept out of the index20
| Benchmark | Kimi K3.1 Pro | Mistral Large 4 | Leader |
|---|---|---|---|
| Vals Index | 62.5% | Not measured | Only Kimi K3.1 Pro measured |
| LiveBench data analysis | 79.1% | 76.5% | Kimi K3.1 Pro |
| MedScribe (Vals AI) | Not measured | 80.4% | Only Mistral Large 4 measured |
| Long context reasoning (AA-LCR) | 86.3% | 81.3% | Kimi K3.1 Pro |
| DTBench | Not measured | 88.2% | Only Mistral Large 4 measured |
| LMCA | Not measured | 35.8% | Only Mistral Large 4 measured |
| Surface Evolver Bench | Not measured | 28.1% | Only Mistral Large 4 measured |
| Furniture assembly | Not measured | 20.8% | Only Mistral Large 4 measured |
| LMArena Text | Not measured | 1430 | Only Mistral Large 4 measured |
| LMArena Text: instruction following | Not measured | 1419 | Only Mistral Large 4 measured |
| LMArena Text: creative writing | Not measured | 1361 | Only Mistral Large 4 measured |
| LMArena Vision | Not measured | 1272 | Only Mistral Large 4 measured |
| LMArena Text: English | Not measured | 1432 | Only Mistral Large 4 measured |
| LMArena Text: non-English | Not measured | 1420 | Only Mistral Large 4 measured |
| LMArena Text: Chinese | Not measured | 1492 | Only Mistral Large 4 measured |
| LMArena Text: German | Not measured | 1409 | Only Mistral Large 4 measured |
| LMArena Text: Japanese | Not measured | 1413 | Only Mistral Large 4 measured |
| LMArena Text: Korean | Not measured | 1375 | Only Mistral Large 4 measured |
| LMArena Text: French | Not measured | 1489 | Only Mistral Large 4 measured |
| LMArena Text: Spanish | Not measured | 1470 | Only Mistral Large 4 measured |
| LMArena Text: Russian | Not measured | 1414 | Only Mistral Large 4 measured |
| LMArena Text: multi-turn | Not measured | 1437 | Only Mistral Large 4 measured |
| LMArena Text: longer queries | Not measured | 1428 | Only Mistral Large 4 measured |
| LMArena Text: writing and language | Not measured | 1385 | Only Mistral Large 4 measured |
| LMArena Text: entertainment and media | Not measured | 1376 | Only Mistral Large 4 measured |
| LMArena Vision: English | Not measured | 1283 | Only Mistral Large 4 measured |
| LMArena Vision: reading text | Not measured | 1284 | Only Mistral Large 4 measured |
| Neither model has a result on the other 21 boards here | |||
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | Kimi K3.1 Pro | Mistral Large 4 | 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
Mistral Large 4 costs less
Repository review
50K input + 3K output tokens
Mistral Large 4 costs less
Agent loop
200K input + 10K output tokens
Mistral Large 4 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 | MoonshotAI Kimi K3.1 Pro | Mistral Large 4 |
|---|---|---|
| Maker | Moonshot AI | Mistral AI |
| Weights | No public weights listed | No public weights listed |
| Released | October 23, 2026 | October 6, 2026 |
| Context window | 1.05M | 1.05M |
| Input $/Mtok | $2.00 | $1.36 |
| Output $/Mtok | $10.00 | $4.18 |
| Coding index | 82.2 | 56.4 |
| Independent measurements behind it | 4 | 5 |
| Cost per solved task | Not computable | Not computable |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is Kimi K3.1 Pro better than Mistral Large 4 for coding?
Pick Kimi K3.1 Pro for coding: it scores 82.2 on the Vibe Coding Index against 56.4 for Mistral Large 4, though on 4 benchmarks against 5. Pick Mistral Large 4 for output tokens 2.4x cheaper ($4.18 vs $10.00 per million) and work measured by Tax Agent Bench (Vals AI) or Harvey's Legal Agent Benchmark (Vals AI), where it leads.
Which is cheaper, Kimi K3.1 Pro or Mistral Large 4?
Kimi K3.1 Pro costs $2.00 per million input tokens and $10.00 per million output tokens; Mistral Large 4 costs $1.36 and $4.18. Cost per solved task is known for neither of them.
Which has the bigger context window, Kimi K3.1 Pro or Mistral Large 4?
Neither: both take 1.05M tokens.
How many benchmarks is the Kimi K3.1 Pro vs Mistral Large 4 comparison based on?
32 benchmarks have a result for both models as of October 29, 2026. Kimi K3.1 Pro's coding index rests on 4 independent benchmarks and Mistral Large 4's on 5. Where only one model has a result, the page says so instead of naming a winner.