Claude Fable 5.2 vs Mistral Large 4
Claude Fable 5.2 leads Mistral Large 4 on coding, 87.8 to 60.9 on the Vibe Coding Index, and Mistral Large 4 costs 19.0x less per output token ($2.10 vs $40.00 per million). Updated November 14, 2026; 46 benchmarks have a result for both.
Claude Fable 5.2 or Mistral Large 4: which to pick
Pick Claude Fable 5.2 for coding: it scores 87.8 on the Vibe Coding Index against 60.9 for Mistral Large 4, though on 4 benchmarks against 5.
Pick Mistral Large 4 for output tokens 19.0x cheaper ($2.10 vs $40.00 per million) and a larger context window (1.05M against 1M tokens).
- Shared results
- 46
- Claude Fable 5.2 only
- 22
- Mistral Large 4 only
- 44
- 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 5.2
Claude Fable 5.2 scores 87.8 against 60.9.
4 and 5 benchmarks behind the scores
Intelligence
AA Intelligence Index
Claude Fable 5.2
Claude Fable 5.2 leads, 64.6 against 26.1.
Same board, both measured
Web design
Design Arena: websites
Claude Fable 5.2
Claude Fable 5.2 leads, 1351 against 1258.
Same board, both measured
General
Vals Index
Claude Fable 5.2
Claude Fable 5.2 leads, 71.3% against 56.5%.
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 5.2 $0.028, Mistral Large 4 $0.0018 per turn.
List prices
At a glance
- Coding index
- Claude Fable 5.2 87.8 from 4 benchmarks, Mistral Large 4 60.9 from 5 benchmarks.
- Widest category
- Math, 52.6 points apart on average over 5 shared benchmarks.
- Widest single gap
- ProofBench: Claude Fable 5.2 100.0% against Mistral Large 4 10.0%, 90.0 points apart on a 0 to 100 scale.
- Output price
- Claude Fable 5.2 $40.00 against Mistral Large 4 $2.10 per million output tokens, 19.0x apart.
- Context window
- Claude Fable 5.2 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 5.2 | Bars | Mistral Large 4 | Ties |
|---|---|---|---|---|
| Coding | 10 | 1 | ||
| Intelligence | 2 | 0 | ||
| Agentic work | 7 | 1 | ||
| Reasoning | 7 | 0 | ||
| Math | 5 | 0 | ||
| Knowledge | 2 | 0 | ||
| Web design | 6 | 0 | ||
| General | 5 | 0 | ||
| All shared boards | 44 | 2 |
CodingLike-for-likeSix of these boards feed the Vibe Coding Index101
| Benchmark | Claude Fable 5.2 | Mistral Large 4 | Leader |
|---|---|---|---|
| LiveBench coding | 79.2% | 79.4% | Mistral Large 4 |
| LMArena WebDev | 1838 | 1564 | Claude Fable 5.2 |
| Terminal-Bench 4 (Vals AI) | 65.2% | 27.8% | Claude Fable 5.2 |
| Vibe Code Bench (Vals AI) | 93.8% | 81.6% | Claude Fable 5.2 |
| Code migration (Vals AI) | Not measured | 30.6% | Only Mistral Large 4 measured |
| ProgramBench (Vals AI) | 19.0% | Not measured | Only Claude Fable 5.2 measured |
| IOI (Vals AI) | Not measured | 45.3% | Only Mistral Large 4 measured |
| SWE-bench Multimodal (Vals AI) | 62.3% | 33.1% | Claude Fable 5.2 |
| Vibe Code Bench 1-100 (Vals AI) | Not measured | 14.3% | Only Mistral Large 4 measured |
| SciCode | 67.7% | Not measured | Only Claude Fable 5.2 measured |
| Terminal-Bench 4.0 (Artificial Analysis run) | 61.6% | 24.7% | Claude Fable 5.2 |
| FrontierCode 2.0 | 49.1% | 15.0% | Claude Fable 5.2 |
| FrontierCode | Not measured | 39.4% | Only Mistral Large 4 measured |
| FrontierSWE | 69.9% | Not measured | Only Claude Fable 5.2 measured |
| MirrorCode | Not measured | 40.0% | Only Mistral Large 4 measured |
| ALE-Bench | 2509.8 | 1213.2 | Claude Fable 5.2 |
| LMArena Text: coding | Not measured | 1457 | Only Mistral Large 4 measured |
| LMArena Text: software and IT | Not measured | 1458 | Only Mistral Large 4 measured |
| LMArena WebDev: React | 1915 | 1570 | Claude Fable 5.2 |
| LMArena WebDev: HTML | 1738 | 1549 | Claude Fable 5.2 |
| GameBench 2 | 99.1 | 57.6 | Claude Fable 5.2 |
| Terminal-Bench 4.0 | Not measured | 27.9% | Only Mistral Large 4 measured |
| CursorBench 4.0 | 60.0% | Not measured | Only Claude Fable 5.2 measured |
| Neither model has a result on the other 29 boards here | |||
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index20
| Benchmark | Claude Fable 5.2 | Mistral Large 4 | Leader |
|---|---|---|---|
| AA Intelligence Index | 64.6 | 26.1 | Claude Fable 5.2 |
| Epoch Capabilities Index | 173.4 | 154.6 | Claude Fable 5.2 |
Agentic workLike-for-likePublic boards, shown as published, kept out of the index71
| Benchmark | Claude Fable 5.2 | Mistral Large 4 | Leader |
|---|---|---|---|
| Design Arena: agents building full-stack apps | 1402 | Not measured | Only Claude Fable 5.2 measured |
| Design Arena: agents building mobile apps | 1325 | Not measured | Only Claude Fable 5.2 measured |
| Design Arena: spreadsheets | 1434 | Not measured | Only Claude Fable 5.2 measured |
| LiveBench research | 94.5% | 80.3% | Claude Fable 5.2 |
| LiveBench browser | 86.9% | 17.4% | Claude Fable 5.2 |
| LiveBench long agentic | 82.9% | 24.7% | Claude Fable 5.2 |
| Finance Agent (Vals AI) | Not measured | 54.7% | Only Mistral Large 4 measured |
| Tax Agent Bench (Vals AI) | 32.1% | 30.7% | Claude Fable 5.2 |
| Legal Research Bench (Vals AI) | 46.1% | 35.6% | Claude Fable 5.2 |
| Harvey's Legal Agent Benchmark (Vals AI) | 5.0% | 17.5% | Mistral Large 4 |
| Excel Modeling Benchmark (Vals AI) | Not measured | 56.2% | Only Mistral Large 4 measured |
| BioMysteryBench (Vals AI) | 83.7% | 67.0% | Claude Fable 5.2 |
| Terminal-Bench-Science (Vals AI) | 55.7% | Not measured | Only Claude Fable 5.2 measured |
| Vals Science Index | 63.7% | Not measured | Only Claude Fable 5.2 measured |
| APEX-Agents | 80.1% | 51.6% | Claude Fable 5.2 |
| Remote Labor Index | 41.3% | Not measured | Only Claude Fable 5.2 measured |
| SpireClimb | 15.5% | Not measured | Only Claude Fable 5.2 measured |
| Neither model has a result on the other 27 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index70
| Benchmark | Claude Fable 5.2 | Mistral Large 4 | Leader |
|---|---|---|---|
| LiveBench reasoning | 88.8% | 85.2% | Claude Fable 5.2 |
| MysteryMechanism (Vals AI) | 51.8% | 12.2% | Claude Fable 5.2 |
| Humanity's Last Exam (Artificial Analysis run) | 74.3% | Not measured | Only Claude Fable 5.2 measured |
| HLE-Diamond (Artificial Analysis run) | 80.2% | 17.3% | Claude Fable 5.2 |
| CritPt v2, hard subset (Artificial Analysis run) | 76.5% | 27.0% | Claude Fable 5.2 |
| GPQA Diamond (Epoch AI run) | 93.9% | 88.1% | Claude Fable 5.2 |
| ARC-AGI | 98.5% | Not measured | Only Claude Fable 5.2 measured |
| ARC-AGI-2 | 93.8% | Not measured | Only Claude Fable 5.2 measured |
| SimpleBench | 94.9% | Not measured | Only Claude Fable 5.2 measured |
| Chess puzzles | 79.0% | 33.0% | Claude Fable 5.2 |
| Mystery game puzzles | 90.0% | 17.0% | Claude Fable 5.2 |
| EBR-bench | 90.5% | Not measured | Only Claude Fable 5.2 measured |
| LMArena Text: hard prompts | Not measured | 1434 | Only Mistral Large 4 measured |
| LMArena Text: expert | Not measured | 1446 | Only Mistral Large 4 measured |
| LMArena Text: hard prompts in English | Not measured | 1441 | Only Mistral Large 4 measured |
| LMArena Vision: diagrams | Not measured | 1272 | Only Mistral Large 4 measured |
| LMArena Vision: homework | Not measured | 1266 | Only Mistral Large 4 measured |
| Humanity's Last Exam (Scale run) | 72.4% | Not measured | Only Claude Fable 5.2 measured |
| GoBench | 2566 | Not measured | Only Claude Fable 5.2 measured |
| Neither model has a result on the other 7 boards here | |||
MathLike-for-likePublic boards, shown as published, kept out of the index50
| Benchmark | Claude Fable 5.2 | Mistral Large 4 | Leader |
|---|---|---|---|
| OTIS Mock AIME | 99.7% | 98.3% | Claude Fable 5.2 |
| FrontierMath, tiers 1 to 3 | 95.1% | 58.6% | Claude Fable 5.2 |
| FrontierMath, tier 4 | 100.0% | 26.8% | Claude Fable 5.2 |
| ProofBench | 100.0% | 10.0% | Claude Fable 5.2 |
| LMArena Text: math | Not measured | 1456 | Only Mistral Large 4 measured |
| LMArena Text: mathematical work | Not measured | 1450 | Only Mistral Large 4 measured |
| MathArena | 82.8% | 21.1% | Claude Fable 5.2 |
| Neither model has a result on the other 7 boards here | |||
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index20
| Benchmark | Claude Fable 5.2 | Mistral Large 4 | Leader |
|---|---|---|---|
| MedCode (Vals AI) | Not measured | 40.7% | Only Mistral Large 4 measured |
| AA-Omniscience | 66.8 | 5.1 | Claude Fable 5.2 |
| SimpleQA Verified | 94.0% | 20.0% | Claude Fable 5.2 |
| LMArena Text: science | Not measured | 1432 | Only Mistral Large 4 measured |
| LMArena Text: medicine and healthcare | Not measured | 1391 | 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 | 1434 | Only Mistral Large 4 measured |
| PRBench Finance | 47.1% | Not measured | Only Claude Fable 5.2 measured |
| PRBench Legal | 49.0% | Not measured | Only Claude Fable 5.2 measured |
| Neither model has a result on the other 12 boards here | |||
Web designLike-for-likePublic boards, shown as published, kept out of the index60
| Benchmark | Claude Fable 5.2 | Mistral Large 4 | Leader |
|---|---|---|---|
| Design Arena: websites | 1351 | 1258 | Claude Fable 5.2 |
| Design Arena: UI components | 1371 | 1278 | Claude Fable 5.2 |
| Design Arena: game dev | 1396 | 1204 | Claude Fable 5.2 |
| Design Arena: data viz | Not measured | 1273 | Only Mistral Large 4 measured |
| Design Arena: 3D | 1517 | 1238 | Claude Fable 5.2 |
| Design Arena: all code categories | 1373 | 1255 | Claude Fable 5.2 |
| Design Arena: SVG | Not measured | 1222 | Only Mistral Large 4 measured |
| Design Arena: ASCII art | Not measured | 1203 | Only Mistral Large 4 measured |
| LiveBench design | 85.1% | 76.3% | Claude Fable 5.2 |
GeneralLike-for-likePublic boards, shown as published, kept out of the index50
| Benchmark | Claude Fable 5.2 | Mistral Large 4 | Leader |
|---|---|---|---|
| Vals Index | 71.3% | 56.5% | Claude Fable 5.2 |
| LiveBench data analysis | 81.5% | 76.6% | Claude Fable 5.2 |
| MedScribe (Vals AI) | Not measured | 80.4% | Only Mistral Large 4 measured |
| Long context reasoning (AA-LCR) | 83.3% | Not measured | Only Claude Fable 5.2 measured |
| GDPval-AA | 1831 | Not measured | Only Claude Fable 5.2 measured |
| DTBench | 99.2% | 88.2% | Claude Fable 5.2 |
| LMCA | 70.6% | 35.8% | Claude Fable 5.2 |
| Surface Evolver Bench | Not measured | 28.1% | Only Mistral Large 4 measured |
| Furniture assembly | 90.0% | 20.8% | Claude Fable 5.2 |
| LMArena Text | Not measured | 1411 | Only Mistral Large 4 measured |
| LMArena Text: instruction following | Not measured | 1409 | Only Mistral Large 4 measured |
| LMArena Text: creative writing | Not measured | 1343 | Only Mistral Large 4 measured |
| LMArena Vision | Not measured | 1244 | Only Mistral Large 4 measured |
| LMArena Text: English | Not measured | 1424 | Only Mistral Large 4 measured |
| LMArena Text: non-English | Not measured | 1397 | Only Mistral Large 4 measured |
| LMArena Text: Chinese | Not measured | 1457 | Only Mistral Large 4 measured |
| LMArena Text: French | Not measured | 1432 | Only Mistral Large 4 measured |
| LMArena Text: Spanish | Not measured | 1454 | Only Mistral Large 4 measured |
| LMArena Text: Russian | Not measured | 1414 | Only Mistral Large 4 measured |
| LMArena Text: multi-turn | Not measured | 1421 | Only Mistral Large 4 measured |
| LMArena Text: longer queries | Not measured | 1404 | Only Mistral Large 4 measured |
| LMArena Text: writing and language | Not measured | 1370 | Only Mistral Large 4 measured |
| LMArena Text: entertainment and media | Not measured | 1363 | Only Mistral Large 4 measured |
| LMArena Vision: English | Not measured | 1254 | Only Mistral Large 4 measured |
| LMArena Vision: reading text | Not measured | 1254 | Only Mistral Large 4 measured |
| LMArena Vision: creative writing | Not measured | 1186 | Only Mistral Large 4 measured |
| Neither model has a result on the other 23 boards here | |||
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | Claude Fable 5.2 | 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 5.2 | Mistral Large 4 |
|---|---|---|
| Maker | Anthropic | Mistral AI |
| Weights | No public weights listed | Open weights |
| Released | November 9, 2026 | October 6, 2026 |
| Context window | 1M | 1.05M |
| Input $/Mtok | $8.00 | $0.70 |
| Output $/Mtok | $40.00 | $2.10 |
| Coding index | 87.8 | 60.9 |
| Independent measurements behind it | 4 | 5 |
| Cost per solved task | Not computable | Not computable |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is Claude Fable 5.2 better than Mistral Large 4 for coding?
Pick Claude Fable 5.2 for coding: it scores 87.8 on the Vibe Coding Index against 60.9 for Mistral Large 4, though on 4 benchmarks against 5. Pick Mistral Large 4 for output tokens 19.0x cheaper ($2.10 vs $40.00 per million) and a larger context window (1.05M against 1M tokens).
Which is cheaper, Claude Fable 5.2 or Mistral Large 4?
Claude Fable 5.2 costs $8.00 per million input tokens and $40.00 per million output tokens; Mistral Large 4 costs $0.70 and $2.10. Cost per solved task is known for neither of them.
Which has the bigger context window, Claude Fable 5.2 or Mistral Large 4?
Mistral Large 4, with 1.05M tokens against 1M.
How many benchmarks is the Claude Fable 5.2 vs Mistral Large 4 comparison based on?
46 benchmarks have a result for both models as of November 14, 2026. Claude Fable 5.2'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.