Claude Fable 5.1 vs Mistral Large 4
Claude Fable 5.1 leads Mistral Large 4 on coding, 84.2 to 56.4 on the Vibe Coding Index, and Mistral Large 4 costs 12.0x less per output token ($4.18 vs $50.00 per million). Updated October 22, 2026; 77 benchmarks have a result for both.
Claude Fable 5.1 or Mistral Large 4: which to pick
Pick Claude Fable 5.1 for coding: it scores 84.2 on the Vibe Coding Index against 56.4 for Mistral Large 4.
Pick Mistral Large 4 for output tokens 12.0x cheaper ($4.18 vs $50.00 per million) and a larger context window (1.05M against 1M tokens).
- Shared results
- 77
- Claude Fable 5.1 only
- 47
- Mistral Large 4 only
- 4
- Like-for-like categories
- 8 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
Claude Fable 5.1
Claude Fable 5.1 scores 84.2 against 56.4.
5 benchmarks behind each score
Intelligence
AA Intelligence Index
Claude Fable 5.1
Claude Fable 5.1 leads, 53.4 against 38.4.
Same board, both measured
Agentic work
AA Agentic Index
No call
Only Claude Fable 5.1 has a AA Agentic Index result, 57.9.
Directional only
Reasoning
GPQA Diamond
No call
Only Claude Fable 5.1 has a GPQA Diamond result, 93.4%.
Directional only
Knowledge
MMLU Pro
No call
Only Claude Fable 5.1 has a MMLU Pro result, 92.4%.
Directional only
Web design
Design Arena: websites
Claude Fable 5.1
Claude Fable 5.1 leads, 1312 against 1257.
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 Fable 5.1 $0.035, Mistral Large 4 $0.0034 per turn.
List prices
At a glance
- Coding index
- Claude Fable 5.1 84.2 from 5 benchmarks, Mistral Large 4 56.4 from 5 benchmarks.
- Widest category
- Agentic work, 40.3 points apart on average over 7 shared benchmarks.
- Widest single gap
- LiveBench browser: Claude Fable 5.1 100.0% against Mistral Large 4 8.0%, 92.0 points apart on a 0 to 100 scale.
- Output price
- Claude Fable 5.1 $50.00 against Mistral Large 4 $4.18 per million output tokens, 12.0x apart.
- Context window
- Claude Fable 5.1 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 Fable 5.1 | Bars | Mistral Large 4 | Ties |
|---|---|---|---|---|
| Coding | 15 | 0 | ||
| Intelligence | 2 | 0 | ||
| Agentic work | 7 | 0 | ||
| Reasoning | 9 | 0 | ||
| Math | 6 | 0 | ||
| Knowledge | 6 | 0 | ||
| Web design | 9 | 0 | ||
| General | 23 | 0 | ||
| All shared boards | 77 | 0 |
CodingLike-for-likeSix of these boards feed the Vibe Coding Index150
| Benchmark | Claude Fable 5.1 | Mistral Large 4 | Leader |
|---|---|---|---|
| LiveBench coding | 97.7% | 60.0% | Claude Fable 5.1 |
| LMArena WebDev | 1743 | 1543 | Claude Fable 5.1 |
| AA Coding Index | 81.6 | Not measured | Only Claude Fable 5.1 measured |
| LiveCodeBench (Vals AI) | 90.5% | Not measured | Only Claude Fable 5.1 measured |
| Terminal-Bench 4 (Vals AI) | 58.1% | 27.8% | Claude Fable 5.1 |
| Vibe Code Bench (Vals AI) | 90.3% | 78.4% | Claude Fable 5.1 |
| Code migration (Vals AI) | 54.6% | 30.6% | Claude Fable 5.1 |
| ProgramBench (Vals AI) | 7.0% | Not measured | Only Claude Fable 5.1 measured |
| IOI (Vals AI) | 90.8% | 45.3% | Claude Fable 5.1 |
| Terminal-Bench 2.1 (Vals AI) | 85.0% | Not measured | Only Claude Fable 5.1 measured |
| SWE-bench Multimodal (Vals AI) | 61.3% | 33.1% | Claude Fable 5.1 |
| Vibe Code Bench 1-100 (Vals AI) | 28.0% | 14.3% | Claude Fable 5.1 |
| SkillsBench (Vals AI) | 61.5% | Not measured | Only Claude Fable 5.1 measured |
| CyberBench (Vals AI) | 70.4% | Not measured | Only Claude Fable 5.1 measured |
| SciCode | 63.1% | 54.2% | Claude Fable 5.1 |
| FrontierCode | 50.9% | 39.4% | Claude Fable 5.1 |
| FrontierSWE | 56.3% | Not measured | Only Claude Fable 5.1 measured |
| GSO-Bench | 88.2% | Not measured | Only Claude Fable 5.1 measured |
| WeirdML | 92.9% | Not measured | Only Claude Fable 5.1 measured |
| MirrorCode | 73.3% | Not measured | Only Claude Fable 5.1 measured |
| ALE-Bench | 2143.2 | 1213.2 | Claude Fable 5.1 |
| LMArena Text: coding | 1532 | 1478 | Claude Fable 5.1 |
| LMArena Text: software and IT | 1530 | 1467 | Claude Fable 5.1 |
| LMArena WebDev: React | 1792 | 1559 | Claude Fable 5.1 |
| LMArena WebDev: HTML | 1684 | 1487 | Claude Fable 5.1 |
| LMArena WebDev: from an image | 1722 | Not measured | Only Claude Fable 5.1 measured |
| Neither model has a result on the other 13 boards here | |||
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index20
| Benchmark | Claude Fable 5.1 | Mistral Large 4 | Leader |
|---|---|---|---|
| AA Intelligence Index | 53.4 | 38.4 | Claude Fable 5.1 |
| Epoch Capabilities Index | 166.5 | 150.0 | Claude Fable 5.1 |
Agentic workLike-for-likePublic boards, shown as published, kept out of the index70
| Benchmark | Claude Fable 5.1 | Mistral Large 4 | Leader |
|---|---|---|---|
| AA Agentic Index | 57.9 | Not measured | Only Claude Fable 5.1 measured |
| Design Arena: agents building web apps | 1318 | Not measured | Only Claude Fable 5.1 measured |
| Design Arena: agents building full-stack apps | 1326 | Not measured | Only Claude Fable 5.1 measured |
| Design Arena: agents building mobile apps | 1267 | Not measured | Only Claude Fable 5.1 measured |
| Design Arena: agents building Godot games | 1327 | Not measured | Only Claude Fable 5.1 measured |
| Design Arena: PowerPoint slides | 1305 | Not measured | Only Claude Fable 5.1 measured |
| Design Arena: spreadsheets | 1380 | Not measured | Only Claude Fable 5.1 measured |
| LiveBench research | 82.0% | 28.1% | Claude Fable 5.1 |
| LiveBench browser | 100.0% | 8.0% | Claude Fable 5.1 |
| LiveBench long agentic | 80.8% | 11.8% | Claude Fable 5.1 |
| SREBench (Vals AI) | 22.9% | Not measured | Only Claude Fable 5.1 measured |
| Finance Agent (Vals AI) | 58.9% | 54.7% | Claude Fable 5.1 |
| Tax Agent Bench (Vals AI) | 49.2% | 30.4% | Claude Fable 5.1 |
| Legal Research Bench (Vals AI) | 55.3% | 31.7% | Claude Fable 5.1 |
| Harvey's Legal Agent Benchmark (Vals AI) | Not measured | 17.5% | Only Mistral Large 4 measured |
| Excel Modeling Benchmark (Vals AI) | 76.7% | 56.2% | Claude Fable 5.1 |
| BioMysteryBench (Vals AI) | Not measured | 67.0% | Only Mistral Large 4 measured |
| Terminal-Bench-Science (Vals AI) | 40.0% | Not measured | Only Claude Fable 5.1 measured |
| Time Horizon Index (Vals AI) | 63.3% | Not measured | Only Claude Fable 5.1 measured |
| CUA-bench (Vals AI) | 13.2% | Not measured | Only Claude Fable 5.1 measured |
| Robo-bench (Vals AI) | 5.8% | Not measured | Only Claude Fable 5.1 measured |
| APEX-Agents | 68.6% | Not measured | Only Claude Fable 5.1 measured |
| Remote Labor Index | 17.9% | Not measured | Only Claude Fable 5.1 measured |
| SpireClimb | 2.0% | Not measured | Only Claude Fable 5.1 measured |
| Vending-Bench 2 | $5,422 | Not measured | Only Claude Fable 5.1 measured |
| LMArena Search | 1246 | Not measured | Only Claude Fable 5.1 measured |
| Neither model has a result on the other 15 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index90
| Benchmark | Claude Fable 5.1 | Mistral Large 4 | Leader |
|---|---|---|---|
| GPQA Diamond | 93.4% | Not measured | Only Claude Fable 5.1 measured |
| LiveBench reasoning | 91.7% | 83.9% | Claude Fable 5.1 |
| MysteryMechanism (Vals AI) | 47.8% | 12.2% | Claude Fable 5.1 |
| MMMU Pro (Vals AI) | 90.6% | Not measured | Only Claude Fable 5.1 measured |
| GPQA Diamond (Artificial Analysis run) | 93.7% | Not measured | Only Claude Fable 5.1 measured |
| Humanity's Last Exam (Artificial Analysis run) | 59.1% | 35.0% | Claude Fable 5.1 |
| GPQA Diamond (Epoch AI run) | Not measured | 88.1% | Only Mistral Large 4 measured |
| ARC-AGI | 97.5% | Not measured | Only Claude Fable 5.1 measured |
| ARC-AGI-2 | 90.0% | Not measured | Only Claude Fable 5.1 measured |
| Chess puzzles | 48.0% | 33.0% | Claude Fable 5.1 |
| Mystery game puzzles | 58.0% | 17.0% | Claude Fable 5.1 |
| EBR-bench | 57.1% | Not measured | Only Claude Fable 5.1 measured |
| LMArena Text: hard prompts | 1528 | 1444 | Claude Fable 5.1 |
| LMArena Text: expert | 1544 | 1444 | Claude Fable 5.1 |
| LMArena Text: hard prompts in English | 1522 | 1442 | Claude Fable 5.1 |
| LMArena Vision: diagrams | 1343 | 1288 | Claude Fable 5.1 |
| LMArena Vision: homework | 1345 | Not measured | Only Claude Fable 5.1 measured |
| Neither model has a result on the other 5 boards here | |||
MathLike-for-likePublic boards, shown as published, kept out of the index60
| Benchmark | Claude Fable 5.1 | Mistral Large 4 | Leader |
|---|---|---|---|
| OTIS Mock AIME | 100.0% | 98.3% | Claude Fable 5.1 |
| FrontierMath, tiers 1 to 3 | 90.2% | 58.6% | Claude Fable 5.1 |
| FrontierMath, tier 4 | 87.8% | 26.8% | Claude Fable 5.1 |
| ProofBench | 100.0% | 10.0% | Claude Fable 5.1 |
| LMArena Text: math | 1531 | 1469 | Claude Fable 5.1 |
| LMArena Text: mathematical work | 1541 | 1462 | Claude Fable 5.1 |
| Neither model has a result on the other 7 boards here | |||
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index60
| Benchmark | Claude Fable 5.1 | Mistral Large 4 | Leader |
|---|---|---|---|
| MMLU Pro | 92.4% | Not measured | Only Claude Fable 5.1 measured |
| LegalBench (Vals AI) | 88.5% | Not measured | Only Claude Fable 5.1 measured |
| TaxEval (Vals AI) | 76.0% | Not measured | Only Claude Fable 5.1 measured |
| MortgageTax (Vals AI) | 70.8% | Not measured | Only Claude Fable 5.1 measured |
| MedCode (Vals AI) | 53.5% | 40.7% | Claude Fable 5.1 |
| SimpleQA Verified | 70.8% | 20.0% | Claude Fable 5.1 |
| LMArena Text: science | 1532 | 1448 | Claude Fable 5.1 |
| LMArena Text: medicine and healthcare | 1531 | 1433 | Claude Fable 5.1 |
| LMArena Text: legal and government | 1514 | 1425 | Claude Fable 5.1 |
| LMArena Text: business and finance | 1493 | 1439 | Claude Fable 5.1 |
| Neither model has a result on the other 8 boards here | |||
Web designLike-for-likePublic boards, shown as published, kept out of the index90
| Benchmark | Claude Fable 5.1 | Mistral Large 4 | Leader |
|---|---|---|---|
| Design Arena: websites | 1312 | 1257 | Claude Fable 5.1 |
| Design Arena: UI components | 1336 | 1272 | Claude Fable 5.1 |
| Design Arena: game dev | 1381 | 1225 | Claude Fable 5.1 |
| Design Arena: data viz | 1344 | 1275 | Claude Fable 5.1 |
| Design Arena: 3D | 1392 | 1252 | Claude Fable 5.1 |
| Design Arena: all code categories | 1335 | 1259 | Claude Fable 5.1 |
| Design Arena: SVG | 1300 | 1232 | Claude Fable 5.1 |
| Design Arena: ASCII art | 1323 | 1202 | Claude Fable 5.1 |
| LiveBench design | 83.4% | 65.6% | Claude Fable 5.1 |
GeneralLike-for-likePublic boards, shown as published, kept out of the index230
| Benchmark | Claude Fable 5.1 | Mistral Large 4 | Leader |
|---|---|---|---|
| LiveBench data analysis | 80.3% | 76.5% | Claude Fable 5.1 |
| Public Benefits Bench (Vals AI) | 74.9% | Not measured | Only Claude Fable 5.1 measured |
| SAGE (Vals AI) | 48.5% | Not measured | Only Claude Fable 5.1 measured |
| MedScribe (Vals AI) | 91.3% | 80.4% | Claude Fable 5.1 |
| Long context reasoning (AA-LCR) | 85.3% | 81.3% | Claude Fable 5.1 |
| DTBench | 97.6% | 88.2% | Claude Fable 5.1 |
| LMCA | 65.5% | 35.8% | Claude Fable 5.1 |
| Surface Evolver Bench | Not measured | 28.1% | Only Mistral Large 4 measured |
| Furniture assembly | 70.0% | 20.8% | Claude Fable 5.1 |
| LMArena Text | 1512 | 1431 | Claude Fable 5.1 |
| LMArena Text: instruction following | 1518 | 1422 | Claude Fable 5.1 |
| LMArena Text: creative writing | 1509 | 1363 | Claude Fable 5.1 |
| LMArena Vision | 1319 | 1272 | Claude Fable 5.1 |
| LMArena Text: English | 1506 | 1433 | Claude Fable 5.1 |
| LMArena Text: non-English | 1508 | 1422 | Claude Fable 5.1 |
| LMArena Text: Chinese | 1584 | 1492 | Claude Fable 5.1 |
| LMArena Text: German | 1499 | Not measured | Only Claude Fable 5.1 measured |
| LMArena Text: Japanese | 1562 | 1415 | Claude Fable 5.1 |
| LMArena Text: Korean | 1517 | Not measured | Only Claude Fable 5.1 measured |
| LMArena Text: French | 1523 | 1492 | Claude Fable 5.1 |
| LMArena Text: Spanish | 1520 | 1455 | Claude Fable 5.1 |
| LMArena Text: Russian | 1520 | 1417 | Claude Fable 5.1 |
| LMArena Text: Polish | 1525 | Not measured | Only Claude Fable 5.1 measured |
| LMArena Text: multi-turn | 1493 | 1435 | Claude Fable 5.1 |
| LMArena Text: longer queries | 1524 | 1428 | Claude Fable 5.1 |
| LMArena Text: writing and language | 1510 | 1386 | Claude Fable 5.1 |
| LMArena Text: entertainment and media | 1497 | 1378 | Claude Fable 5.1 |
| LMArena Vision: English | 1313 | 1283 | Claude Fable 5.1 |
| LMArena Vision: Chinese | 1391 | Not measured | Only Claude Fable 5.1 measured |
| LMArena Vision: reading text | 1327 | 1284 | Claude Fable 5.1 |
| LMArena Vision: humor | 1318 | Not measured | Only Claude Fable 5.1 measured |
| LMArena Vision: creative writing | 1330 | Not measured | Only Claude Fable 5.1 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 Fable 5.1 | 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 Fable 5.1 | Mistral Large 4 |
|---|---|---|
| Maker | Anthropic | Mistral AI |
| Weights | No public weights listed | No public weights listed |
| Released | September 1, 2026 | October 6, 2026 |
| Context window | 1M | 1.05M |
| Input $/Mtok | $10.00 | $1.36 |
| Output $/Mtok | $50.00 | $4.18 |
| Coding index | 84.2 | 56.4 |
| Independent measurements behind it | 5 | 5 |
| Cost per solved task | Not computable | Not computable |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is Claude Fable 5.1 better than Mistral Large 4 for coding?
Pick Claude Fable 5.1 for coding: it scores 84.2 on the Vibe Coding Index against 56.4 for Mistral Large 4. Pick Mistral Large 4 for output tokens 12.0x cheaper ($4.18 vs $50.00 per million) and a larger context window (1.05M against 1M tokens).
Which is cheaper, Claude Fable 5.1 or Mistral Large 4?
Claude Fable 5.1 costs $10.00 per million input tokens and $50.00 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, Claude Fable 5.1 or Mistral Large 4?
Mistral Large 4, with 1.05M tokens against 1M.
How many benchmarks is the Claude Fable 5.1 vs Mistral Large 4 comparison based on?
77 benchmarks have a result for both models as of October 22, 2026. Claude Fable 5.1's coding index rests on 5 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.