Model comparison
Claude Fable 5.1 vs Mistral Medium 3.5
Claude Fable 5.1 is the stronger model overall, scoring 69.0 to 40.2 on the Noometry Index. Mistral Medium 3.5 costs 6.7× less per token, which makes it the better buy when Claude Fable 5.1's lead doesn't matter for your workload.
Last verified . 20 shared benchmarks.
Summary
- They share 20 benchmarks with published results for both. Claude Fable 5.1 scores higher in 9 categories and Mistral Medium 3.5 in 0 categories; 9 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where Claude Fable 5.1 leads 76.7 to 17.3.
- The biggest single-benchmark swing is NYT Connections (extended): 90% for Claude Fable 5.1 and 12.9% for Mistral Medium 3.5.
- Mistral Medium 3.5 is cheaper at $1.50 / $7.50 per million input/output tokens, against $10 / $50 for Claude Fable 5.1.
- Claude Fable 5.1 accepts more context: 1M tokens versus 262K.
- Mistral Medium 3.5 has downloadable open weights; the other is API-only.
Side by side
| Claude Fable 5.1 | Mistral Medium 3.5 | |
|---|---|---|
| Provider | Anthropic | Mistral AI |
| Noometry Index | 69.0 | 40.2 |
| Released | 2026-09-01 | — |
| Weights | Proprietary | Open |
| Context window | 1M | 262K |
| Max output | 128K | 210K |
| Input $ / M tokens | $10 | $1.50 |
| Output $ / M tokens | $50 | $7.50 |
| Results tracked | 52 | 22 |
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Category by category
Coding Claude Fable 5.1 leads
Claude Fable 5.1: 74.7 (#1), Mistral Medium 3.5: 36.0 (#213)
| Benchmark | Claude Fable 5.1 | Mistral Medium 3.5 |
|---|---|---|
| LMArena WebDev | 1744 | 1264 |
| LMArena Coding | 1528 | 1461 |
| FrontierCode | 50.9% | — |
| CursorBench | 51.8% | — |
| FrontierSWE | 56.3% | — |
| SciCode | 63.1% | — |
| GSO | 88.2% | — |
| WeirdML | 92.9% | — |
| MirrorCode | 73.3% | — |
| ALE-Bench | 2,143 | — |
Agentic & Tool Use Not comparable
Claude Fable 5.1: 50.7 (#5), Mistral Medium 3.5: —
| Benchmark | Claude Fable 5.1 | Mistral Medium 3.5 |
|---|---|---|
| APEX-Agents | 68.6% | — |
| Remote Labor Index | 17.9% | — |
| GDP.pdf | 29.6% | — |
| Vending-Bench 2 | 5,422 | — |
Reasoning Claude Fable 5.1 leads
Claude Fable 5.1: 76.7 (#7), Mistral Medium 3.5: 17.3 (#295)
| Benchmark | Claude Fable 5.1 | Mistral Medium 3.5 |
|---|---|---|
| NYT Connections (extended) | 90% | 12.9% |
| LMArena Hard Prompts | 1526 | 1436 |
| Epoch Capabilities Index | 164.7 | 141.35 |
| ARC-AGI-2 | 90% | — |
| Kagi LLM Benchmark | — | 41.4% |
| ARC-AGI-1 | 97.5% | — |
| CritPt | 31.1% | — |
| Chess Puzzles | 47% | — |
| EBR-Bench | 57.1% | — |
| Mystery Game Puzzles | 58% | — |
| DTBench | 97.6% | — |
| LMCA | 65.5% | — |
Math Claude Fable 5.1 leads
Claude Fable 5.1: 89.6 (#4), Mistral Medium 3.5: 39.1 (#113)
| Benchmark | Claude Fable 5.1 | Mistral Medium 3.5 |
|---|---|---|
| LMArena Math | 1525 | 1431 |
| FrontierMath (Tiers 1-3) | 90.2% | — |
| FrontierMath Tier 4 | 87.8% | — |
| OTIS Mock AIME 2024-2025 | 100% | — |
| ProofBench | 100% | — |
| FrontierMath Erdős | 0% | — |
Knowledge Claude Fable 5.1 leads
Claude Fable 5.1: 69.6 (#6), Mistral Medium 3.5: 40.0 (#126)
| Benchmark | Claude Fable 5.1 | Mistral Medium 3.5 |
|---|---|---|
| LMArena Expert | 1535 | 1432 |
| Humanity's Last Exam | 46.5% | — |
| SimpleQA Verified | 70.8% | — |
Multimodal Claude Fable 5.1 leads
Claude Fable 5.1: 53.9 (#4), Mistral Medium 3.5: 38.3 (#65)
| Benchmark | Claude Fable 5.1 | Mistral Medium 3.5 |
|---|---|---|
| LMArena Vision | 1318 | 1223 |
| Blueprint-Bench 2 | 41.9% | — |
| Furniture Assembly | 70% | — |
| LMArena Document | 1513 | — |
Multilingual Claude Fable 5.1 leads
Claude Fable 5.1: 59.1 (#3), Mistral Medium 3.5: 51.9 (#100)
| Benchmark | Claude Fable 5.1 | Mistral Medium 3.5 |
|---|---|---|
| LMArena Non-English | 1507 | 1404 |
| LMArena Chinese | 1586 | 1442 |
| LMArena French | 1525 | 1448 |
| LMArena German | 1500 | 1451 |
| LMArena Korean | 1534 | 1385 |
| LMArena Russian | 1521 | 1395 |
| LMArena Spanish | 1516 | 1409 |
| LMArena Japanese | 1543 | — |
Instruction Following Claude Fable 5.1 leads
Claude Fable 5.1: 79.2 (#6), Mistral Medium 3.5: 74.6 (#90)
| Benchmark | Claude Fable 5.1 | Mistral Medium 3.5 |
|---|---|---|
| LMArena Instruction Following | 1517 | 1415 |
Long Context Claude Fable 5.1 leads
Claude Fable 5.1: 46.7 (#20), Mistral Medium 3.5: 43.2 (#103)
| Benchmark | Claude Fable 5.1 | Mistral Medium 3.5 |
|---|---|---|
| LMArena Longer Query | 1522 | 1415 |
Writing & Preference Claude Fable 5.1 leads
Claude Fable 5.1: 79.2 (#2), Mistral Medium 3.5: 58.5 (#117)
| Benchmark | Claude Fable 5.1 | Mistral Medium 3.5 |
|---|---|---|
| LMArena Text | 1510 | 1421 |
| LMArena Creative Writing | 1507 | 1374 |
| LMArena Multi-Turn | 1492 | 1423 |
| EQ-Bench Creative Writing | 2162 | — |
| EQ-Bench 4 | — | 993 |
Frequently asked questions
Is Claude Fable 5.1 better than Mistral Medium 3.5?
Claude Fable 5.1 is the stronger model overall, scoring 69.0 to 40.2 on the Noometry Index. Mistral Medium 3.5 costs 6.7× less per token, which makes it the better buy when Claude Fable 5.1's lead doesn't matter for your workload.
Which is cheaper, Claude Fable 5.1 or Mistral Medium 3.5?
Mistral Medium 3.5 is cheaper. It lists at $1.50 per million input tokens and $7.50 per million output tokens; Claude Fable 5.1 lists at $10 and $50.
Is Claude Fable 5.1 or Mistral Medium 3.5 better for coding?
Claude Fable 5.1 scores higher on coding benchmarks: 74.7 versus 36.0 in the Noometry coding category.
Which has the bigger context window?
Claude Fable 5.1 does, with 1M tokens against 262K.
How many benchmarks do Claude Fable 5.1 and Mistral Medium 3.5 share?
20 benchmarks have published results for both models. Claude Fable 5.1 has 52 scored results on Noometry and Mistral Medium 3.5 has 22.