Claude Sonnet 4.5 vs Mistral Large 4
Mistral Large 4 leads Claude Sonnet 4.5 on coding, 56.4 to 39.5 on the Vibe Coding Index, and Mistral Large 4 costs 3.6x less per output token ($4.18 vs $15.00 per million). Updated October 22, 2026; 51 benchmarks have a result for both.
Claude Sonnet 4.5 or Mistral Large 4: which to pick
Pick Mistral Large 4 for coding: it scores 56.4 on the Vibe Coding Index against 39.5 for Claude Sonnet 4.5.
Pick Claude Sonnet 4.5 for work measured by LMArena Text: coding or LMArena Text: software and IT, where it leads.
- Shared results
- 51
- Claude Sonnet 4.5 only
- 44
- Mistral Large 4 only
- 30
- 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
Mistral Large 4
Mistral Large 4 scores 56.4 against 39.5.
3 and 5 benchmarks behind the scores
Intelligence
AA Intelligence Index
Mistral Large 4
Mistral Large 4 leads, 38.4 against 20.7.
Same board, both measured
Agentic work
AA Agentic Index
No call
Only Claude Sonnet 4.5 has a AA Agentic Index result, 15.8.
Directional only
Reasoning
GPQA Diamond
No call
Only Claude Sonnet 4.5 has a GPQA Diamond result, 81.6%.
Directional only
Math
AIME
No call
Only Claude Sonnet 4.5 has a AIME result, 88.2%.
Directional only
Knowledge
MMLU Pro
No call
Only Claude Sonnet 4.5 has a MMLU Pro result, 87.4%.
Directional only
Web design
Design Arena: websites
Mistral Large 4
Mistral Large 4 leads, 1257 against 1189.
Same board, both measured
Long documents
Listed context window
Mistral Large 4
Mistral Large 4 takes 1.05M tokens against 1M.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
Mistral Large 4
Claude Sonnet 4.5 $0.011, Mistral Large 4 $0.0034 per turn.
List prices
Cost per solved task
One SWE-bench Verified task, solved
No call
Only Claude Sonnet 4.5 has the number, $1.16.
Directional only
At a glance
- Coding index
- Claude Sonnet 4.5 39.5 from 3 benchmarks, Mistral Large 4 56.4 from 5 benchmarks.
- Widest category
- Coding, 20.5 points apart on average over 6 shared benchmarks.
- Widest single gap
- Vibe Code Bench (Vals AI): Claude Sonnet 4.5 22.6% against Mistral Large 4 78.4%, 55.8 points apart on a 0 to 100 scale.
- Output price
- Claude Sonnet 4.5 $15.00 against Mistral Large 4 $4.18 per million output tokens, 3.6x apart.
- Context window
- Claude Sonnet 4.5 takes 1M tokens, Mistral Large 4 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 | Claude Sonnet 4.5 | Bars | Mistral Large 4 | Ties |
|---|---|---|---|---|
| Coding | 2 | 4 | ||
| Intelligence | 0 | 2 | ||
| Reasoning | 3 | 2 | 1 tie | |
| Math | 2 | 4 | ||
| Knowledge | 5 | 1 | ||
| Web design | 1 | 7 | ||
| General | 13 | 4 | ||
| All shared boards | 26 | 24 | 1 tie |
CodingLike-for-likeSix of these boards feed the Vibe Coding Index24
| Benchmark | Claude Sonnet 4.5 | Mistral Large 4 | Leader |
|---|---|---|---|
| SWE-bench Verified | 74.8% | Not measured | Only Claude Sonnet 4.5 measured |
| SWE-bench Multilingual | 67.0% | Not measured | Only Claude Sonnet 4.5 measured |
| LiveBench coding | Not measured | 60.0% | Only Mistral Large 4 measured |
| LMArena WebDev | 1394 | 1543 | Mistral Large 4 |
| AA Coding Index | 52.1 | Not measured | Only Claude Sonnet 4.5 measured |
| LiveCodeBench (Vals AI) | 73.0% | Not measured | Only Claude Sonnet 4.5 measured |
| SWE-bench Verified (Vals AI) | 70.0% | Not measured | Only Claude Sonnet 4.5 measured |
| Terminal-Bench 4 (Vals AI) | Not measured | 27.8% | Only Mistral Large 4 measured |
| Vibe Code Bench (Vals AI) | 22.6% | 78.4% | Mistral Large 4 |
| Code migration (Vals AI) | Not measured | 30.6% | Only Mistral Large 4 measured |
| IOI (Vals AI) | Not measured | 45.3% | Only Mistral Large 4 measured |
| 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 | Not measured | 54.2% | Only Mistral Large 4 measured |
| Terminal-Bench | 46.5% | Not measured | Only Claude Sonnet 4.5 measured |
| FrontierCode | Not measured | 39.4% | Only Mistral Large 4 measured |
| GSO-Bench | 14.7% | Not measured | Only Claude Sonnet 4.5 measured |
| WeirdML | 47.7% | Not measured | Only Claude Sonnet 4.5 measured |
| Cybench | 60.0% | Not measured | Only Claude Sonnet 4.5 measured |
| ALE-Bench | Not measured | 1213.2 | Only Mistral Large 4 measured |
| LMArena Text: coding | 1488 | 1478 | Claude Sonnet 4.5 |
| LMArena Text: software and IT | 1473 | 1467 | Claude Sonnet 4.5 |
| LMArena WebDev: React | 1386 | 1559 | Mistral Large 4 |
| LMArena WebDev: HTML | 1399 | 1487 | Mistral Large 4 |
| Neither model has a result on the other 15 boards here | |||
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index02
| Benchmark | Claude Sonnet 4.5 | Mistral Large 4 | Leader |
|---|---|---|---|
| AA Intelligence Index | 20.7 | 38.4 | Mistral Large 4 |
| Epoch Capabilities Index | 146.7 | 150.0 | Mistral Large 4 |
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index20 boards, none shared
| Benchmark | Claude Sonnet 4.5 | Mistral Large 4 | Leader |
|---|---|---|---|
| AA Agentic Index | 15.8 | Not measured | Only Claude Sonnet 4.5 measured |
| Design Arena: agents building web apps | 1060 | Not measured | Only Claude Sonnet 4.5 measured |
| Design Arena: agents building full-stack apps | 1050 | Not measured | Only Claude Sonnet 4.5 measured |
| Design Arena: agents building mobile apps | 1137 | Not measured | Only Claude Sonnet 4.5 measured |
| LiveBench research | Not measured | 28.1% | Only Mistral Large 4 measured |
| LiveBench browser | Not measured | 8.0% | Only Mistral Large 4 measured |
| LiveBench long agentic | Not measured | 11.8% | Only Mistral Large 4 measured |
| Finance Agent (Vals AI) | Not measured | 54.7% | Only Mistral Large 4 measured |
| Tax Agent Bench (Vals AI) | Not measured | 30.4% | Only Mistral Large 4 measured |
| Legal Research Bench (Vals AI) | Not measured | 31.7% | Only Mistral Large 4 measured |
| Harvey's Legal Agent Benchmark (Vals AI) | Not measured | 17.5% | Only Mistral Large 4 measured |
| Excel Modeling Benchmark (Vals AI) | Not measured | 56.2% | Only Mistral Large 4 measured |
| BioMysteryBench (Vals AI) | Not measured | 67.0% | Only Mistral Large 4 measured |
| METR time horizons | 67.4% | Not measured | Only Claude Sonnet 4.5 measured |
| Remote Labor Index | 2.1% | Not measured | Only Claude Sonnet 4.5 measured |
| GDPval | 42.5% | Not measured | Only Claude Sonnet 4.5 measured |
| DeepResearch Bench | 52.6% | Not measured | Only Claude Sonnet 4.5 measured |
| OSWorld | 62.9% | Not measured | Only Claude Sonnet 4.5 measured |
| Vending-Bench 2 | $3,839 | Not measured | Only Claude Sonnet 4.5 measured |
| Berkeley Function Calling Leaderboard (BFCL) | 73.2% | Not measured | Only Claude Sonnet 4.5 measured |
| Neither model has a result on the other 21 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index32
| Benchmark | Claude Sonnet 4.5 | Mistral Large 4 | Leader |
|---|---|---|---|
| GPQA Diamond | 81.6% | Not measured | Only Claude Sonnet 4.5 measured |
| LiveBench reasoning | Not measured | 83.9% | Only Mistral Large 4 measured |
| MysteryMechanism (Vals AI) | Not measured | 12.2% | Only Mistral Large 4 measured |
| MMMU Pro (Vals AI) | 79.3% | Not measured | Only Claude Sonnet 4.5 measured |
| Humanity's Last Exam (Artificial Analysis run) | Not measured | 35.0% | Only Mistral Large 4 measured |
| GPQA Diamond (Epoch AI run) | 82.3% | 88.1% | Mistral Large 4 |
| ARC-AGI | 63.7% | Not measured | Only Claude Sonnet 4.5 measured |
| ARC-AGI-2 | 13.6% | Not measured | Only Claude Sonnet 4.5 measured |
| SimpleBench | 54.3% | Not measured | Only Claude Sonnet 4.5 measured |
| Chess puzzles | 10.0% | 33.0% | Mistral Large 4 |
| Mystery game puzzles | 17.0% | 17.0% | Tie |
| EBR-bench | 2.4% | Not measured | Only Claude Sonnet 4.5 measured |
| VPCT | 39.8% | Not measured | Only Claude Sonnet 4.5 measured |
| LMArena Text: hard prompts | 1462 | 1444 | Claude Sonnet 4.5 |
| LMArena Text: expert | 1483 | 1444 | Claude Sonnet 4.5 |
| LMArena Text: hard prompts in English | 1471 | 1442 | Claude Sonnet 4.5 |
| LMArena Vision: diagrams | Not measured | 1288 | Only Mistral Large 4 measured |
| Kagi LLM Benchmark | 57.9% | Not measured | Only Claude Sonnet 4.5 measured |
| Neither model has a result on the other 4 boards here | |||
MathLike-for-likePublic boards, shown as published, kept out of the index24
| Benchmark | Claude Sonnet 4.5 | Mistral Large 4 | Leader |
|---|---|---|---|
| AIME | 88.2% | Not measured | Only Claude Sonnet 4.5 measured |
| MGSM (Vals AI) | 94.3% | Not measured | Only Claude Sonnet 4.5 measured |
| OTIS Mock AIME | 77.8% | 98.3% | Mistral Large 4 |
| FrontierMath, tiers 1 to 3 | 23.9% | 58.6% | Mistral Large 4 |
| FrontierMath, tier 4 | 2.4% | 26.8% | Mistral Large 4 |
| ProofBench | 19.0% | 10.0% | Claude Sonnet 4.5 |
| MATH level 5 | 97.7% | Not measured | Only Claude Sonnet 4.5 measured |
| LMArena Text: math | 1449 | 1469 | Mistral Large 4 |
| LMArena Text: mathematical work | 1462 | 1462 | Claude Sonnet 4.5 |
| Neither model has a result on the other 4 boards here | |||
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index51
| Benchmark | Claude Sonnet 4.5 | Mistral Large 4 | Leader |
|---|---|---|---|
| MMLU Pro | 87.4% | Not measured | Only Claude Sonnet 4.5 measured |
| LegalBench (Vals AI) | 84.1% | Not measured | Only Claude Sonnet 4.5 measured |
| CaseLaw (Vals AI) | 62.2% | Not measured | Only Claude Sonnet 4.5 measured |
| CorpFin (Vals AI) | 62.0% | Not measured | Only Claude Sonnet 4.5 measured |
| TaxEval (Vals AI) | 73.3% | Not measured | Only Claude Sonnet 4.5 measured |
| MortgageTax (Vals AI) | 64.0% | Not measured | Only Claude Sonnet 4.5 measured |
| MedQA (Vals AI) | 94.7% | Not measured | Only Claude Sonnet 4.5 measured |
| MedCode (Vals AI) | 44.1% | 40.7% | Claude Sonnet 4.5 |
| SimpleQA Verified | 30.7% | 20.0% | Claude Sonnet 4.5 |
| LMArena Text: science | 1448 | 1448 | Mistral Large 4 |
| LMArena Text: medicine and healthcare | 1444 | 1433 | Claude Sonnet 4.5 |
| LMArena Text: legal and government | 1451 | 1425 | Claude Sonnet 4.5 |
| LMArena Text: business and finance | 1440 | 1439 | Claude Sonnet 4.5 |
| FACTS Benchmark Suite | 40.6% | Not measured | Only Claude Sonnet 4.5 measured |
| Neither model has a result on the other 4 boards here | |||
Web designLike-for-likePublic boards, shown as published, kept out of the index17
| Benchmark | Claude Sonnet 4.5 | Mistral Large 4 | Leader |
|---|---|---|---|
| Design Arena: websites | 1189 | 1257 | Mistral Large 4 |
| Design Arena: UI components | 1170 | 1272 | Mistral Large 4 |
| Design Arena: game dev | 1166 | 1225 | Mistral Large 4 |
| Design Arena: data viz | 1167 | 1275 | Mistral Large 4 |
| Design Arena: 3D | 1157 | 1252 | Mistral Large 4 |
| Design Arena: all code categories | 1182 | 1259 | Mistral Large 4 |
| Design Arena: SVG | 1115 | 1232 | Mistral Large 4 |
| Design Arena: ASCII art | 1205 | 1202 | Claude Sonnet 4.5 |
| LiveBench design | Not measured | 65.6% | Only Mistral Large 4 measured |
GeneralLike-for-likePublic boards, shown as published, kept out of the index134
| Benchmark | Claude Sonnet 4.5 | Mistral Large 4 | Leader |
|---|---|---|---|
| LiveBench data analysis | Not measured | 76.5% | Only Mistral Large 4 measured |
| SAGE (Vals AI) | 36.1% | Not measured | Only Claude Sonnet 4.5 measured |
| MedScribe (Vals AI) | 84.5% | 80.4% | Claude Sonnet 4.5 |
| Long context reasoning (AA-LCR) | Not measured | 81.3% | Only Mistral Large 4 measured |
| DTBench | 83.2% | 88.2% | Mistral Large 4 |
| LMCA | 38.8% | 35.8% | Claude Sonnet 4.5 |
| 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 | 1438 | 1431 | Claude Sonnet 4.5 |
| LMArena Text: instruction following | 1459 | 1422 | Claude Sonnet 4.5 |
| LMArena Text: creative writing | 1442 | 1363 | Claude Sonnet 4.5 |
| LMArena Vision | Not measured | 1272 | Only Mistral Large 4 measured |
| LMArena Text: English | 1450 | 1433 | Claude Sonnet 4.5 |
| LMArena Text: non-English | 1425 | 1422 | Claude Sonnet 4.5 |
| LMArena Text: Chinese | 1460 | 1492 | Mistral Large 4 |
| LMArena Text: German | 1427 | Not measured | Only Claude Sonnet 4.5 measured |
| LMArena Text: Japanese | 1390 | 1415 | Mistral Large 4 |
| LMArena Text: Korean | 1402 | Not measured | Only Claude Sonnet 4.5 measured |
| LMArena Text: French | 1459 | 1492 | Mistral Large 4 |
| LMArena Text: Spanish | 1458 | 1455 | Claude Sonnet 4.5 |
| LMArena Text: Russian | 1437 | 1417 | Claude Sonnet 4.5 |
| LMArena Text: Polish | 1423 | Not measured | Only Claude Sonnet 4.5 measured |
| LMArena Text: multi-turn | 1465 | 1435 | Claude Sonnet 4.5 |
| LMArena Text: longer queries | 1475 | 1428 | Claude Sonnet 4.5 |
| LMArena Text: writing and language | 1442 | 1386 | Claude Sonnet 4.5 |
| LMArena Text: entertainment and media | 1428 | 1378 | Claude Sonnet 4.5 |
| LMArena Vision: English | Not measured | 1283 | Only Mistral Large 4 measured |
| LMArena Vision: reading text | Not measured | 1284 | Only Mistral Large 4 measured |
| LMArena Document | 1450 | Not measured | Only Claude Sonnet 4.5 measured |
| Neither model has a result on the other 17 boards here | |||
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | Claude Sonnet 4.5 | 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 | Anthropic Claude Sonnet 4.5 | Mistral Large 4 |
|---|---|---|
| Maker | Anthropic | Mistral AI |
| Weights | No public weights listed | No public weights listed |
| Released | September 29, 2025 | October 6, 2026 |
| Context window | 1M | 1.05M |
| Input $/Mtok | $3.00 | $1.36 |
| Output $/Mtok | $15.00 | $4.18 |
| Coding index | 39.5 | 56.4 |
| Independent measurements behind it | 3 | 5 |
| Cost per solved task | $1.16 | Not computable |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is Claude Sonnet 4.5 better than Mistral Large 4 for coding?
Pick Mistral Large 4 for coding: it scores 56.4 on the Vibe Coding Index against 39.5 for Claude Sonnet 4.5. Pick Claude Sonnet 4.5 for work measured by LMArena Text: coding or LMArena Text: software and IT, where it leads.
Which is cheaper, Claude Sonnet 4.5 or Mistral Large 4?
Claude Sonnet 4.5 costs $3.00 per million input tokens and $15.00 per million output tokens; Mistral Large 4 costs $1.36 and $4.18. Cost per solved task is known for Claude Sonnet 4.5 only.
Which has the bigger context window, Claude Sonnet 4.5 or Mistral Large 4?
Mistral Large 4, with 1.05M tokens against 1M.
How many benchmarks is the Claude Sonnet 4.5 vs Mistral Large 4 comparison based on?
51 benchmarks have a result for both models as of October 22, 2026. Claude Sonnet 4.5's coding index rests on 3 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.