Claude Opus 4.1 vs Mistral Medium 3.5
Claude Opus 4.1 leads Mistral Medium 3.5 on the Artificial Analysis Intelligence Index, 22.8 to 14.2, and Mistral Medium 3.5 costs 10.0x less per output token ($7.50 vs $75.00 per million). Updated October 22, 2026; 48 benchmarks have a result for both.
Claude Opus 4.1 or Mistral Medium 3.5: which to pick
Only Mistral Medium 3.5 has a coding score, 25.5 on the Vibe Coding Index; Claude Opus 4.1 has none, so the two cannot be ranked on coding.
Pick Claude Opus 4.1 for work measured by LMArena WebDev or LMArena Text: coding, where it leads.
- Shared results
- 48
- Claude Opus 4.1 only
- 25
- Mistral Medium 3.5 only
- 33
- 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
Only Mistral Medium 3.5 has a coding score, so no call is made.
One side not measured
Intelligence
AA Intelligence Index
Claude Opus 4.1
Claude Opus 4.1 leads, 22.8 against 14.2.
Same board, both measured
Agentic work
AA Agentic Index
No call
Only Mistral Medium 3.5 has a AA Agentic Index result, 7.0.
Directional only
Reasoning
GPQA Diamond
Claude Opus 4.1
Claude Opus 4.1 leads, 76.3% against 34.9%.
Same board, both measured
Math
AIME
No call
Only Claude Opus 4.1 has a AIME result, 78.2%.
Directional only
Knowledge
MMLU Pro
Claude Opus 4.1
Claude Opus 4.1 leads, 87.9% against 75.3%.
Same board, both measured
Web design
Design Arena: websites
Claude Opus 4.1
Claude Opus 4.1 leads, 1176 against 1142.
Same board, both measured
Long documents
Listed context window
Mistral Medium 3.5
Mistral Medium 3.5 takes 262K tokens against 200K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
Mistral Medium 3.5
Claude Opus 4.1 $0.052, Mistral Medium 3.5 $0.0053 per turn.
List prices
Cost per solved task
One SWE-bench Verified task, solved
No call
Only Mistral Medium 3.5 has the number, $6.02.
Directional only
At a glance
- Coding index
- Claude Opus 4.1 not benchmarked, Mistral Medium 3.5 25.5 from 3 benchmarks.
- Widest category
- Reasoning, 11.1 points apart on average over 4 shared benchmarks.
- Widest single gap
- GPQA Diamond: Claude Opus 4.1 76.3% against Mistral Medium 3.5 34.9%, 41.4 points apart on a 0 to 100 scale.
- Output price
- Claude Opus 4.1 $75.00 against Mistral Medium 3.5 $7.50 per million output tokens, 10.0x apart.
- Context window
- Claude Opus 4.1 takes 200K tokens, Mistral Medium 3.5 262K.
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 4.1 | Bars | Mistral Medium 3.5 | Ties |
|---|---|---|---|---|
| Coding | 3 | 1 | ||
| Intelligence | 2 | 0 | ||
| Reasoning | 4 | 0 | ||
| Math | 0 | 2 | ||
| Knowledge | 5 | 3 | ||
| Web design | 8 | 0 | ||
| General | 12 | 8 | ||
| All shared boards | 34 | 14 |
CodingLike-for-likeSix of these boards feed the Vibe Coding Index31
| Benchmark | Claude Opus 4.1 | Mistral Medium 3.5 | Leader |
|---|---|---|---|
| LMArena WebDev | 1390 | 1264 | Claude Opus 4.1 |
| AA Coding Index | Not measured | 46.9 | Only Mistral Medium 3.5 measured |
| LiveCodeBench (Vals AI) | 66.5% | Not measured | Only Claude Opus 4.1 measured |
| SWE-bench Verified (Vals AI) | Not measured | 66.4% | Only Mistral Medium 3.5 measured |
| Vibe Code Bench (Vals AI) | Not measured | 2.9% | Only Mistral Medium 3.5 measured |
| Code migration (Vals AI) | Not measured | 5.1% | Only Mistral Medium 3.5 measured |
| Terminal-Bench 2.1 (Vals AI) | Not measured | 39.0% | Only Mistral Medium 3.5 measured |
| SciCode | Not measured | 40.2% | Only Mistral Medium 3.5 measured |
| Terminal-Bench Hard (Artificial Analysis run) | Not measured | 33.3% | Only Mistral Medium 3.5 measured |
| Terminal-Bench | 38.0% | Not measured | Only Claude Opus 4.1 measured |
| WeirdML | 45.9% | Not measured | Only Claude Opus 4.1 measured |
| Cybench | 42.0% | Not measured | Only Claude Opus 4.1 measured |
| ALE-Bench | Not measured | 764.0 | Only Mistral Medium 3.5 measured |
| LMArena Text: coding | 1479 | 1460 | Claude Opus 4.1 |
| LMArena Text: software and IT | 1456 | 1458 | Mistral Medium 3.5 |
| LMArena WebDev: React | Not measured | 1254 | Only Mistral Medium 3.5 measured |
| LMArena WebDev: HTML | 1399 | 1308 | Claude Opus 4.1 |
| SciCode | 4.6% | Not measured | Only Claude Opus 4.1 measured |
| Neither model has a result on the other 21 boards here | |||
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index20
| Benchmark | Claude Opus 4.1 | Mistral Medium 3.5 | Leader |
|---|---|---|---|
| AA Intelligence Index | 22.8 | 14.2 | Claude Opus 4.1 |
| Epoch Capabilities Index | 144.1 | 141.4 | Claude Opus 4.1 |
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index9 boards, none shared
| Benchmark | Claude Opus 4.1 | Mistral Medium 3.5 | Leader |
|---|---|---|---|
| AA Agentic Index | Not measured | 7.0 | Only Mistral Medium 3.5 measured |
| Finance Agent (Vals AI) | Not measured | 32.1% | Only Mistral Medium 3.5 measured |
| Tax Agent Bench (Vals AI) | Not measured | 4.5% | Only Mistral Medium 3.5 measured |
| Legal Research Bench (Vals AI) | Not measured | 9.1% | Only Mistral Medium 3.5 measured |
| Excel Modeling Benchmark (Vals AI) | Not measured | 11.2% | Only Mistral Medium 3.5 measured |
| τ²-Bench Telecom | Not measured | 94.2% | Only Mistral Medium 3.5 measured |
| METR time horizons | 66.8% | Not measured | Only Claude Opus 4.1 measured |
| GDPval | 43.6% | Not measured | Only Claude Opus 4.1 measured |
| DeepResearch Bench | 48.3% | Not measured | Only Claude Opus 4.1 measured |
| Neither model has a result on the other 32 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index40
| Benchmark | Claude Opus 4.1 | Mistral Medium 3.5 | Leader |
|---|---|---|---|
| GPQA Diamond | 76.3% | 34.9% | Claude Opus 4.1 |
| MMMU Pro (Vals AI) | 77.5% | Not measured | Only Claude Opus 4.1 measured |
| GPQA Diamond (Artificial Analysis run) | Not measured | 74.8% | Only Mistral Medium 3.5 measured |
| Humanity's Last Exam (Artificial Analysis run) | Not measured | 13.8% | Only Mistral Medium 3.5 measured |
| GPQA Diamond (Epoch AI run) | 77.3% | Not measured | Only Claude Opus 4.1 measured |
| SimpleBench | 60.0% | Not measured | Only Claude Opus 4.1 measured |
| Mystery game puzzles | 21.0% | Not measured | Only Claude Opus 4.1 measured |
| EBR-bench | 7.9% | Not measured | Only Claude Opus 4.1 measured |
| VPCT | 35.0% | Not measured | Only Claude Opus 4.1 measured |
| LMArena Text: hard prompts | 1442 | 1436 | Claude Opus 4.1 |
| LMArena Text: expert | 1438 | 1432 | Claude Opus 4.1 |
| LMArena Text: hard prompts in English | 1451 | 1445 | Claude Opus 4.1 |
| LMArena Vision: diagrams | Not measured | 1254 | Only Mistral Medium 3.5 measured |
| LMArena Vision: homework | Not measured | 1230 | Only Mistral Medium 3.5 measured |
| Kagi LLM Benchmark | Not measured | 41.4% | Only Mistral Medium 3.5 measured |
| Neither model has a result on the other 7 boards here | |||
MathLike-for-likePublic boards, shown as published, kept out of the index02
| Benchmark | Claude Opus 4.1 | Mistral Medium 3.5 | Leader |
|---|---|---|---|
| AIME | 78.2% | Not measured | Only Claude Opus 4.1 measured |
| MATH 500 (Vals AI) | 95.4% | Not measured | Only Claude Opus 4.1 measured |
| MGSM (Vals AI) | 94.4% | Not measured | Only Claude Opus 4.1 measured |
| OTIS Mock AIME | 68.9% | Not measured | Only Claude Opus 4.1 measured |
| FrontierMath, tiers 1 to 3 | 12.6% | Not measured | Only Claude Opus 4.1 measured |
| FrontierMath, tier 4 | 2.4% | Not measured | Only Claude Opus 4.1 measured |
| ProofBench | Not measured | 9.0% | Only Mistral Medium 3.5 measured |
| LMArena Text: math | 1431 | 1431 | Mistral Medium 3.5 |
| LMArena Text: mathematical work | 1434 | 1440 | Mistral Medium 3.5 |
| Neither model has a result on the other 4 boards here | |||
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index53
| Benchmark | Claude Opus 4.1 | Mistral Medium 3.5 | Leader |
|---|---|---|---|
| MMLU Pro | 87.9% | 75.3% | Claude Opus 4.1 |
| LegalBench (Vals AI) | 83.5% | Not measured | Only Claude Opus 4.1 measured |
| CaseLaw (Vals AI) | Not measured | 44.2% | Only Mistral Medium 3.5 measured |
| CorpFin (Vals AI) | Not measured | 58.8% | Only Mistral Medium 3.5 measured |
| TaxEval (Vals AI) | 73.7% | 68.0% | Claude Opus 4.1 |
| MortgageTax (Vals AI) | 61.1% | 28.9% | Claude Opus 4.1 |
| MedQA (Vals AI) | 93.6% | Not measured | Only Claude Opus 4.1 measured |
| MedCode (Vals AI) | 47.2% | 33.8% | Claude Opus 4.1 |
| LMArena Text: science | 1422 | 1428 | Mistral Medium 3.5 |
| LMArena Text: medicine and healthcare | 1416 | 1409 | Claude Opus 4.1 |
| LMArena Text: legal and government | 1421 | 1437 | Mistral Medium 3.5 |
| LMArena Text: business and finance | 1406 | 1426 | Mistral Medium 3.5 |
| FACTS Benchmark Suite | 40.4% | Not measured | Only Claude Opus 4.1 measured |
| Neither model has a result on the other 5 boards here | |||
Web designLike-for-likePublic boards, shown as published, kept out of the index80
| Benchmark | Claude Opus 4.1 | Mistral Medium 3.5 | Leader |
|---|---|---|---|
| Design Arena: websites | 1176 | 1142 | Claude Opus 4.1 |
| Design Arena: UI components | 1162 | 1076 | Claude Opus 4.1 |
| Design Arena: game dev | 1171 | 1079 | Claude Opus 4.1 |
| Design Arena: data viz | 1166 | 1120 | Claude Opus 4.1 |
| Design Arena: 3D | 1152 | 1060 | Claude Opus 4.1 |
| Design Arena: all code categories | 1170 | 1121 | Claude Opus 4.1 |
| Design Arena: SVG | 1152 | 949 | Claude Opus 4.1 |
| Design Arena: ASCII art | 1167 | 1062 | Claude Opus 4.1 |
| Neither model has a result on the other 1 board here | |||
GeneralLike-for-likePublic boards, shown as published, kept out of the index128
| Benchmark | Claude Opus 4.1 | Mistral Medium 3.5 | Leader |
|---|---|---|---|
| SAGE (Vals AI) | 31.4% | 37.6% | Mistral Medium 3.5 |
| MedScribe (Vals AI) | 73.9% | 67.7% | Claude Opus 4.1 |
| Vals Multimodal Index | Not measured | 34.8% | Only Mistral Medium 3.5 measured |
| IFBench | Not measured | 68.8% | Only Mistral Medium 3.5 measured |
| Long context reasoning (AA-LCR) | Not measured | 69.3% | Only Mistral Medium 3.5 measured |
| DTBench | 80.0% | 75.5% | Claude Opus 4.1 |
| LMCA | 37.1% | 26.1% | Claude Opus 4.1 |
| Creative writing (Lech Mazur) | 84.7% | Not measured | Only Claude Opus 4.1 measured |
| Surface Evolver Bench | Not measured | 26.9% | Only Mistral Medium 3.5 measured |
| LMArena Text | 1419 | 1421 | Mistral Medium 3.5 |
| LMArena Text: instruction following | 1435 | 1415 | Claude Opus 4.1 |
| LMArena Text: creative writing | 1412 | 1374 | Claude Opus 4.1 |
| LMArena Vision | Not measured | 1222 | Only Mistral Medium 3.5 measured |
| LMArena Text: English | 1433 | 1433 | Mistral Medium 3.5 |
| LMArena Text: non-English | 1405 | 1404 | Claude Opus 4.1 |
| LMArena Text: Chinese | 1427 | 1444 | Mistral Medium 3.5 |
| LMArena Text: German | 1413 | 1453 | Mistral Medium 3.5 |
| LMArena Text: Japanese | 1377 | Not measured | Only Claude Opus 4.1 measured |
| LMArena Text: Korean | 1381 | 1384 | Mistral Medium 3.5 |
| LMArena Text: French | 1433 | 1448 | Mistral Medium 3.5 |
| LMArena Text: Spanish | 1448 | 1411 | Claude Opus 4.1 |
| LMArena Text: Russian | 1422 | 1395 | Claude Opus 4.1 |
| LMArena Text: Polish | 1413 | 1430 | Mistral Medium 3.5 |
| LMArena Text: multi-turn | 1444 | 1423 | Claude Opus 4.1 |
| LMArena Text: longer queries | 1455 | 1415 | Claude Opus 4.1 |
| LMArena Text: writing and language | 1418 | 1384 | Claude Opus 4.1 |
| LMArena Text: entertainment and media | 1398 | 1382 | Claude Opus 4.1 |
| LMArena Vision: English | Not measured | 1240 | Only Mistral Medium 3.5 measured |
| LMArena Vision: Chinese | Not measured | 1244 | Only Mistral Medium 3.5 measured |
| LMArena Vision: reading text | Not measured | 1233 | Only Mistral Medium 3.5 measured |
| LMArena Vision: humor | Not measured | 1216 | Only Mistral Medium 3.5 measured |
| LMArena Vision: creative writing | Not measured | 1198 | Only Mistral Medium 3.5 measured |
| Neither model has a result on the other 14 boards here | |||
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | Claude Opus 4.1 | Mistral Medium 3.5 | 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 Medium 3.5 costs less
Repository review
50K input + 3K output tokens
Mistral Medium 3.5 costs less
Agent loop
200K input + 10K output tokens
Mistral Medium 3.5 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 4.1 | Mistral Medium 3.5 |
|---|---|---|
| Maker | Anthropic | Mistral AI |
| Weights | No public weights listed | No public weights listed |
| Released | August 5, 2025 | April 30, 2026 |
| Context window | 200K | 262K |
| Input $/Mtok | $15.00 | $1.50 |
| Output $/Mtok | $75.00 | $7.50 |
| Coding index | Not benchmarked | 25.5 |
| Independent measurements behind it | 1 | 3 |
| Cost per solved task | Not computable | $6.02 |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is Claude Opus 4.1 better than Mistral Medium 3.5 for coding?
Only Mistral Medium 3.5 has a coding score, 25.5 on the Vibe Coding Index; Claude Opus 4.1 has none, so the two cannot be ranked on coding. Pick Claude Opus 4.1 for work measured by LMArena WebDev or LMArena Text: coding, where it leads.
Which is cheaper, Claude Opus 4.1 or Mistral Medium 3.5?
Claude Opus 4.1 costs $15.00 per million input tokens and $75.00 per million output tokens; Mistral Medium 3.5 costs $1.50 and $7.50. Cost per solved task is known for Mistral Medium 3.5 only.
Which has the bigger context window, Claude Opus 4.1 or Mistral Medium 3.5?
Mistral Medium 3.5, with 262K tokens against 200K.
How many benchmarks is the Claude Opus 4.1 vs Mistral Medium 3.5 comparison based on?
48 benchmarks have a result for both models as of October 22, 2026. Claude Opus 4.1's coding index rests on 1 independent benchmark and Mistral Medium 3.5's on 3. Where only one model has a result, the page says so instead of naming a winner.