Claude Opus 4.5 vs Mistral Large 4
Updated October 21, 2026. 54 benchmarks have a result for both. Coding is ranked on the Vibe Coding Index; every other board is shown as published.
vs boards won of 54 shared
Decision reading
Pick Claude Opus 4.5 for coding: it scores 66.8 on the Vibe Coding Index against 55.3 for Mistral Large 4.
Pick Mistral Large 4 when output tokens cost 6.0x less, or when the context window is larger, 1.05M against 200K tokens.
Model AClaude Opus 4.5Anthropic66.8/1002 independent benchmarks$1.37 per solved taskModel BMistral Large 4Mistral AI55.3/1002 independent benchmarksNo cost per solved task
- Shared results
- 54
- Claude Opus 4.5 only
- 51
- Mistral Large 4 only
- 27
- Like-for-like categories
- 7 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
Claude Opus 4.5
Claude Opus 4.5 scores 66.8 against 55.3.
2 benchmarks behind each score
Intelligence
AA Intelligence Index
Mistral Large 4
Mistral Large 4 leads, 38.4 against 29.1.
Same board, both measured
Reasoning
GPQA Diamond
No call
Only Claude Opus 4.5 has a GPQA Diamond result, 85.9%.
Directional only
Math
AIME
No call
Only Claude Opus 4.5 has a AIME result, 95.4%.
Directional only
Knowledge
MMLU Pro
No call
Only Claude Opus 4.5 has a MMLU Pro result, 87.3%.
Directional only
Web design
Design Arena: websites
Mistral Large 4
Mistral Large 4 leads, 1258 against 1247.
Same board, both measured
Long documents
Listed context window
Mistral Large 4
Mistral Large 4 takes 1.05M tokens against 200K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
Mistral Large 4
Claude Opus 4.5 $0.018, Mistral Large 4 $0.0034 per turn.
List prices
Cost per solved task
One SWE-bench Verified task, solved
No call
Only Claude Opus 4.5 has the number, $1.37.
Directional only
At a glance
- Coding index
- Claude Opus 4.5 66.8 from 2 benchmarks, Mistral Large 4 55.3 from 2 benchmarks.
- Widest category
- Coding, 14.8 points apart on average over 6 shared benchmarks.
- Widest single gap
- Vibe Code Bench (Vals AI): Claude Opus 4.5 20.6% against Mistral Large 4 78.4%, 57.8 points apart on a 0 to 100 scale.
- Output price
- Claude Opus 4.5 $25.00 against Mistral Large 4 $4.18 per million output tokens, 6.0x apart.
- Context window
- Claude Opus 4.5 takes 200K 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 Opus 4.5 | Bars | Mistral Large 4 | Ties |
|---|---|---|---|---|
| Coding | 3 | 3 | ||
| Intelligence | 1 | 1 | ||
| Reasoning | 4 | 3 | ||
| Math | 2 | 4 | ||
| Knowledge | 6 | 0 | ||
| Web design | 1 | 7 | ||
| General | 16 | 3 | ||
| All shared boards | 33 | 21 |
CodingLike-for-likeFour of these boards feed the Vibe Coding Index33
| Benchmark | Claude Opus 4.5 | Mistral Large 4 | Leader |
|---|---|---|---|
| SWE-bench Verified | 79.2% | Not measured | Only Claude Opus 4.5 measured |
| SWE-bench (full test set) | 52.6% | Not measured | Only Claude Opus 4.5 measured |
| SWE-bench Multilingual | 70.7% | Not measured | Only Claude Opus 4.5 measured |
| LiveBench coding | Not measured | 60.0% | Only Mistral Large 4 measured |
| LMArena WebDev | 1494 | 1543 | Mistral Large 4 |
| LiveCodeBench (Vals AI) | 83.7% | Not measured | Only Claude Opus 4.5 measured |
| SWE-bench Verified (Vals AI) | 76.4% | Not measured | Only Claude Opus 4.5 measured |
| Terminal-Bench 4 (Vals AI) | Not measured | 27.8% | Only Mistral Large 4 measured |
| Vibe Code Bench (Vals AI) | 20.6% | 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 |
| LiveCodeBench (Artificial Analysis run) | 87.1% | Not measured | Only Claude Opus 4.5 measured |
| SciCode | Not measured | 54.2% | Only Mistral Large 4 measured |
| Terminal-Bench Hard (Artificial Analysis run) | 47.0% | Not measured | Only Claude Opus 4.5 measured |
| Terminal-Bench | 63.1% | Not measured | Only Claude Opus 4.5 measured |
| FrontierCode | Not measured | 39.4% | Only Mistral Large 4 measured |
| GSO-Bench | 26.5% | Not measured | Only Claude Opus 4.5 measured |
| WeirdML | 63.7% | Not measured | Only Claude Opus 4.5 measured |
| Cybench | 82.0% | Not measured | Only Claude Opus 4.5 measured |
| ALE-Bench | Not measured | 1213.2 | Only Mistral Large 4 measured |
| LMArena Text: coding | 1503 | 1478 | Claude Opus 4.5 |
| LMArena Text: software and IT | 1483 | 1467 | Claude Opus 4.5 |
| LMArena WebDev: React | 1478 | 1559 | Mistral Large 4 |
| LMArena WebDev: HTML | 1510 | 1487 | Claude Opus 4.5 |
| Neither model has a result on the other 12 boards here | |||
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index11
| Benchmark | Claude Opus 4.5 | Mistral Large 4 | Leader |
|---|---|---|---|
| AA Intelligence Index | 29.1 | 38.4 | Mistral Large 4 |
| Epoch Capabilities Index | 150.1 | 150.0 | Claude Opus 4.5 |
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index21 boards, none shared
| Benchmark | Claude Opus 4.5 | Mistral Large 4 | Leader |
|---|---|---|---|
| Design Arena: agents building web apps | 1159 | Not measured | Only Claude Opus 4.5 measured |
| Design Arena: agents building full-stack apps | 1156 | Not measured | Only Claude Opus 4.5 measured |
| Design Arena: agents building mobile apps | 1189 | Not measured | Only Claude Opus 4.5 measured |
| Design Arena: agents building Android apps | 1181 | Not measured | Only Claude Opus 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 |
| τ²-Bench Telecom | 89.5% | Not measured | Only Claude Opus 4.5 measured |
| METR time horizons | 75.0% | Not measured | Only Claude Opus 4.5 measured |
| Remote Labor Index | 3.8% | Not measured | Only Claude Opus 4.5 measured |
| GDPval | 45.5% | Not measured | Only Claude Opus 4.5 measured |
| BALROG | 43.5% | Not measured | Only Claude Opus 4.5 measured |
| DeepResearch Bench | 54.8% | Not measured | Only Claude Opus 4.5 measured |
| OSWorld | 66.3% | Not measured | Only Claude Opus 4.5 measured |
| Vending-Bench 2 | $4,967 | Not measured | Only Claude Opus 4.5 measured |
| Neither model has a result on the other 18 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index43
| Benchmark | Claude Opus 4.5 | Mistral Large 4 | Leader |
|---|---|---|---|
| GPQA Diamond | 85.9% | Not measured | Only Claude Opus 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) | 83.0% | Not measured | Only Claude Opus 4.5 measured |
| GPQA Diamond (Artificial Analysis run) | 86.6% | Not measured | Only Claude Opus 4.5 measured |
| Humanity's Last Exam (Artificial Analysis run) | 30.1% | 35.0% | Mistral Large 4 |
| GPQA Diamond (Epoch AI run) | 86.0% | 88.1% | Mistral Large 4 |
| ARC-AGI | 80.0% | Not measured | Only Claude Opus 4.5 measured |
| ARC-AGI-2 | 37.6% | Not measured | Only Claude Opus 4.5 measured |
| SimpleBench | 62.0% | Not measured | Only Claude Opus 4.5 measured |
| Chess puzzles | 14.0% | 33.0% | Mistral Large 4 |
| Mystery game puzzles | 22.0% | 17.0% | Claude Opus 4.5 |
| EBR-bench | 14.3% | Not measured | Only Claude Opus 4.5 measured |
| VPCT | 40.0% | Not measured | Only Claude Opus 4.5 measured |
| LMArena Text: hard prompts | 1476 | 1444 | Claude Opus 4.5 |
| LMArena Text: expert | 1487 | 1444 | Claude Opus 4.5 |
| LMArena Text: hard prompts in English | 1482 | 1442 | Claude Opus 4.5 |
| LMArena Vision: diagrams | Not measured | 1288 | Only Mistral Large 4 measured |
| Neither model has a result on the other 3 boards here | |||
MathLike-for-likePublic boards, shown as published, kept out of the index24
| Benchmark | Claude Opus 4.5 | Mistral Large 4 | Leader |
|---|---|---|---|
| AIME | 95.4% | Not measured | Only Claude Opus 4.5 measured |
| MGSM (Vals AI) | 95.2% | Not measured | Only Claude Opus 4.5 measured |
| AA Math Index | 91.3 | Not measured | Only Claude Opus 4.5 measured |
| AIME 2025 (Artificial Analysis run) | 91.3% | Not measured | Only Claude Opus 4.5 measured |
| OTIS Mock AIME | 86.1% | 98.3% | Mistral Large 4 |
| FrontierMath, tiers 1 to 3 | 34.4% | 58.6% | Mistral Large 4 |
| FrontierMath, tier 4 | 4.9% | 26.8% | Mistral Large 4 |
| ProofBench | 36.0% | 10.0% | Claude Opus 4.5 |
| LMArena Text: math | 1463 | 1469 | Mistral Large 4 |
| LMArena Text: mathematical work | 1468 | 1462 | Claude Opus 4.5 |
| Neither model has a result on the other 3 boards here | |||
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index60
| Benchmark | Claude Opus 4.5 | Mistral Large 4 | Leader |
|---|---|---|---|
| MMLU Pro | 87.3% | Not measured | Only Claude Opus 4.5 measured |
| LegalBench (Vals AI) | 84.6% | Not measured | Only Claude Opus 4.5 measured |
| CaseLaw (Vals AI) | 62.6% | Not measured | Only Claude Opus 4.5 measured |
| CorpFin (Vals AI) | 65.1% | Not measured | Only Claude Opus 4.5 measured |
| TaxEval (Vals AI) | 74.9% | Not measured | Only Claude Opus 4.5 measured |
| MortgageTax (Vals AI) | 68.7% | Not measured | Only Claude Opus 4.5 measured |
| MedQA (Vals AI) | 95.9% | Not measured | Only Claude Opus 4.5 measured |
| MedCode (Vals AI) | 49.2% | 40.7% | Claude Opus 4.5 |
| MMLU Pro (Artificial Analysis run) | 89.5% | Not measured | Only Claude Opus 4.5 measured |
| SimpleQA Verified | 45.7% | 20.0% | Claude Opus 4.5 |
| GeoBench | 75.0% | Not measured | Only Claude Opus 4.5 measured |
| LMArena Text: science | 1454 | 1448 | Claude Opus 4.5 |
| LMArena Text: medicine and healthcare | 1444 | 1433 | Claude Opus 4.5 |
| LMArena Text: legal and government | 1459 | 1425 | Claude Opus 4.5 |
| LMArena Text: business and finance | 1448 | 1439 | Claude Opus 4.5 |
| Neither model has a result on the other 2 boards here | |||
Web designLike-for-likePublic boards, shown as published, kept out of the index17
| Benchmark | Claude Opus 4.5 | Mistral Large 4 | Leader |
|---|---|---|---|
| Design Arena: websites | 1247 | 1258 | Mistral Large 4 |
| Design Arena: UI components | 1238 | 1275 | Mistral Large 4 |
| Design Arena: game dev | 1229 | 1226 | Claude Opus 4.5 |
| Design Arena: data viz | 1243 | 1274 | Mistral Large 4 |
| Design Arena: 3D | 1214 | 1253 | Mistral Large 4 |
| Design Arena: all code categories | 1242 | 1259 | Mistral Large 4 |
| Design Arena: SVG | 1180 | 1232 | Mistral Large 4 |
| Design Arena: ASCII art | 1190 | 1203 | Mistral Large 4 |
| LiveBench design | Not measured | 65.6% | Only Mistral Large 4 measured |
GeneralLike-for-likePublic boards, shown as published, kept out of the index163
| Benchmark | Claude Opus 4.5 | Mistral Large 4 | Leader |
|---|---|---|---|
| LiveBench data analysis | Not measured | 76.5% | Only Mistral Large 4 measured |
| SAGE (Vals AI) | 52.1% | Not measured | Only Claude Opus 4.5 measured |
| MedScribe (Vals AI) | 85.3% | 80.4% | Claude Opus 4.5 |
| IFBench | 58.0% | Not measured | Only Claude Opus 4.5 measured |
| Long context reasoning (AA-LCR) | 77.3% | 81.3% | Mistral Large 4 |
| DTBench | 89.9% | 88.2% | Claude Opus 4.5 |
| LMCA | 44.5% | 35.8% | Claude Opus 4.5 |
| CL-bench | 21.1% | Not measured | Only Claude Opus 4.5 measured |
| Surface Evolver Bench | Not measured | 28.1% | Only Mistral Large 4 measured |
| Furniture assembly | 28.3% | 20.8% | Claude Opus 4.5 |
| LMArena Text | 1451 | 1431 | Claude Opus 4.5 |
| LMArena Text: instruction following | 1478 | 1422 | Claude Opus 4.5 |
| LMArena Text: creative writing | 1445 | 1363 | Claude Opus 4.5 |
| LMArena Vision | Not measured | 1272 | Only Mistral Large 4 measured |
| LMArena Text: English | 1461 | 1433 | Claude Opus 4.5 |
| LMArena Text: non-English | 1438 | 1422 | Claude Opus 4.5 |
| LMArena Text: Chinese | 1470 | 1492 | Mistral Large 4 |
| LMArena Text: German | 1449 | Not measured | Only Claude Opus 4.5 measured |
| LMArena Text: Japanese | 1417 | 1415 | Claude Opus 4.5 |
| LMArena Text: Korean | 1424 | Not measured | Only Claude Opus 4.5 measured |
| LMArena Text: French | 1471 | 1492 | Mistral Large 4 |
| LMArena Text: Spanish | 1457 | 1455 | Claude Opus 4.5 |
| LMArena Text: Russian | 1447 | 1417 | Claude Opus 4.5 |
| LMArena Text: Polish | 1439 | Not measured | Only Claude Opus 4.5 measured |
| LMArena Text: multi-turn | 1466 | 1435 | Claude Opus 4.5 |
| LMArena Text: longer queries | 1479 | 1428 | Claude Opus 4.5 |
| LMArena Text: writing and language | 1452 | 1386 | Claude Opus 4.5 |
| LMArena Text: entertainment and media | 1434 | 1378 | Claude Opus 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 | 1462 | Not measured | Only Claude Opus 4.5 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 | Claude Opus 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
Claude Opus 4.5$0.018Fits in one request
Mistral Large 4$0.0034Fits in one request
Mistral Large 4 costs less
Repository review
50K input + 3K output tokens
Claude Opus 4.5$0.325Fits in one request
Mistral Large 4$0.081Fits in one request
Mistral Large 4 costs less
Agent loop
200K input + 10K output tokens
Claude Opus 4.5$1.25Exceeds the context window
Mistral Large 4$0.314Fits in one request
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 Opus 4.5 | Mistral Large 4 |
|---|---|---|
| Maker | Anthropic | Mistral AI |
| Weights | No public weights listed | No public weights listed |
| Released | November 24, 2025 | October 6, 2026 |
| Context window | 200K | 1.05M |
| Input $/Mtok | $5.00 | $1.36 |
| Output $/Mtok | $25.00 | $4.18 |
| Coding index | 66.8 | 55.3 |
| Independent measurements behind it | 2 | 2 |
| Cost per solved task | $1.37 | Not computable |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is Claude Opus 4.5 better than Mistral Large 4 for coding?
Pick Claude Opus 4.5 for coding: it scores 66.8 on the Vibe Coding Index against 55.3 for Mistral Large 4. Pick Mistral Large 4 when output tokens cost 6.0x less, or when the context window is larger, 1.05M against 200K tokens.
Which is cheaper, Claude Opus 4.5 or Mistral Large 4?
Claude Opus 4.5 costs $5.00 per million input tokens and $25.00 per million output tokens; Mistral Large 4 costs $1.36 and $4.18. Cost per solved task is known for Claude Opus 4.5 only.
Which has the bigger context window, Claude Opus 4.5 or Mistral Large 4?
Mistral Large 4, with 1.05M tokens against 200K.
How many benchmarks is the Claude Opus 4.5 vs Mistral Large 4 comparison based on?
54 benchmarks have a result for both models as of October 21, 2026. Claude Opus 4.5's coding index rests on 2 independent benchmarks and Mistral Large 4's on 2. Where only one model has a result, the page says so instead of naming a winner.