Model comparison
Claude Fable 5 vs Mistral Large
Claude Fable 5 is the stronger model overall, scoring 66.8 to 31.9 on the Noometry Index. Mistral Large costs 6.7× less per token, which makes it the better buy when Claude Fable 5's lead doesn't matter for your workload.
Last verified . 27 shared benchmarks.
Summary
- They share 27 benchmarks with published results for both. Claude Fable 5 scores higher in 9 categories and Mistral Large in 0 categories; 9 gaps are clear of the uncertainty.
- The widest gap is in math, where Claude Fable 5 leads 88.5 to 18.2.
- The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 100% for Claude Fable 5 and 8.5% for Mistral Large.
- Mistral Large is cheaper at $2 / $6 per million input/output tokens, against $10 / $50 for Claude Fable 5.
- Claude Fable 5 accepts more context: 1M tokens versus 131K.
- Mistral Large has downloadable open weights; the other is API-only.
Side by side
| Claude Fable 5 | Mistral Large | |
|---|---|---|
| Provider | Anthropic | Mistral AI |
| Noometry Index | 66.8 | 31.9 |
| Released | 2026-06-07 | 2024-02-26 |
| Weights | Proprietary | Open |
| Context window | 1M | 131K |
| Max output | 128K | 16K |
| Input $ / M tokens | $10 | $2 |
| Output $ / M tokens | $50 | $6 |
| Results tracked | 62 | 51 |
Sponsored placements are available on pages like this one. Advertise on Noometry
Category by category
Coding Claude Fable 5 leads
Claude Fable 5: 70.6 (#4), Mistral Large: 34.3 (#240)
| Benchmark | Claude Fable 5 | Mistral Large |
|---|---|---|
| SciCode | 61% | 36.2% |
| LMArena Coding | 1519 | 1277 |
| ALE-Bench | 2,041 | 264.7 |
| DeepSWE | 69.9% | — |
| FrontierCode | 53.5% | — |
| LMArena WebDev | 1625 | — |
| FrontierSWE | 47% | — |
| GSO | 78.4% | — |
| WeirdML | 91.9% | — |
| BigCodeBench Instruct | — | 30% |
| LiveBench Coding | — | 47.1% |
| MirrorCode | 63.9% | — |
| BigCodeBench Complete | — | 38.3% |
| HumanEval+ | — | 62.2% |
| MBPP+ | — | 59.5% |
Agentic & Tool Use Claude Fable 5 leads
Claude Fable 5: 54.0 (#2), Mistral Large: 28.6 (#89)
| Benchmark | Claude Fable 5 | Mistral Large |
|---|---|---|
| APEX-Agents | 63.6% | — |
| Berkeley Function Calling Leaderboard | — | 38.4% |
| Remote Labor Index | 16.1% | — |
| τ²-bench Banking | 39.7% | — |
| PostTrainBench | 41.8% | — |
| GBAEval | 74.5% | — |
| GDP.pdf | 30% | — |
| LMArena Search | 1230 | — |
| Vending-Bench 2 | 5,680 | — |
Reasoning Claude Fable 5 leads
Claude Fable 5: 76.8 (#6), Mistral Large: 15.8 (#310)
| Benchmark | Claude Fable 5 | Mistral Large |
|---|---|---|
| SimpleBench | 81.9% | 22.5% |
| CritPt | 28.6% | 0% |
| LMArena Hard Prompts | 1508 | 1257 |
| DTBench | 98.4% | 65.1% |
| LMCA | 61.1% | 16.7% |
| Epoch Capabilities Index | 162.06 | 128.52 |
| ARC-AGI-2 | 89.2% | — |
| Kagi LLM Benchmark | 91.4% | — |
| NYT Connections (extended) | 92.7% | — |
| ARC-AGI-1 | 98.5% | — |
| Chess Puzzles | 41% | — |
| EnigmaEval | 39.3% | — |
| EBR-Bench | 39.5% | — |
| LiveBench Reasoning | — | 43.5% |
| Mystery Game Puzzles | 52% | — |
| LiveBench Data Analysis | — | 50.1% |
| Surface Evolver Bench | 95% | — |
| Bench to the Future 3 | 0.13 | — |
| ForecastBench | — | 57.1 |
| LiveBench | — | 48.4% |
Math Claude Fable 5 leads
Claude Fable 5: 88.5 (#5), Mistral Large: 18.2 (#291)
| Benchmark | Claude Fable 5 | Mistral Large |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 100% | 8.5% |
| LMArena Math | 1519 | 1262 |
| FrontierMath (Tiers 1-3) | 87% | — |
| FrontierMath Tier 4 | 90.2% | — |
| ProofBench | 95% | — |
| Omni-MATH | — | 28.1% |
| LiveBench Math | — | 42.5% |
| MATH Level 5 | — | 50.3% |
| FrontierMath (Feb 2025 set) | — | 0.3% |
| FrontierMath Erdős | 0% | — |
Knowledge Claude Fable 5 leads
Claude Fable 5: 62.2 (#25), Mistral Large: 30.1 (#230)
| Benchmark | Claude Fable 5 | Mistral Large |
|---|---|---|
| GPQA Diamond | 85.9% | 51.3% |
| LMArena Expert | 1534 | 1232 |
| SimpleQA Verified | 70.7% | — |
| MMLU-Pro | — | 59.9% |
| Confabulations | — | 21.4% |
| Vectara Hallucination Rate | — | 4.5% |
| GPQA (HELM) | — | 43.5% |
| MMLU | — | 80% |
Multimodal Not comparable
Claude Fable 5: 45.3 (#17), Mistral Large: —
| Benchmark | Claude Fable 5 | Mistral Large |
|---|---|---|
| LMArena Vision | 1324 | — |
| Blueprint-Bench 2 | 38.6% | — |
| Furniture Assembly | 35.8% | — |
| LMArena Document | 1496 | — |
Multilingual Claude Fable 5 leads
Claude Fable 5: 57.3 (#9), Mistral Large: 40.0 (#219)
| Benchmark | Claude Fable 5 | Mistral Large |
|---|---|---|
| LMArena Non-English | 1481 | 1237 |
| LMArena Chinese | 1543 | 1240 |
| LMArena French | 1505 | 1325 |
| LMArena German | 1486 | 1254 |
| LMArena Japanese | 1506 | 1188 |
| LMArena Korean | 1488 | 1202 |
| LMArena Russian | 1504 | 1257 |
| LMArena Spanish | 1498 | 1268 |
Instruction Following Claude Fable 5 leads
Claude Fable 5: 78.6 (#8), Mistral Large: 67.9 (#191)
| Benchmark | Claude Fable 5 | Mistral Large |
|---|---|---|
| LMArena Instruction Following | 1502 | 1249 |
| LiveBench Instruction Following | — | 67.9% |
| IFEval | — | 87.7% |
Long Context Claude Fable 5 leads
Claude Fable 5: 46.3 (#23), Mistral Large: 38.3 (#199)
| Benchmark | Claude Fable 5 | Mistral Large |
|---|---|---|
| LMArena Longer Query | 1509 | 1261 |
Writing & Preference Claude Fable 5 leads
Claude Fable 5: 75.9 (#5), Mistral Large: 40.7 (#242)
| Benchmark | Claude Fable 5 | Mistral Large |
|---|---|---|
| LMArena Text | 1491 | 1266 |
| LMArena Creative Writing | 1494 | 1243 |
| EQ-Bench Creative Writing | 1943 | 985 |
| LMArena Multi-Turn | 1504 | 1260 |
| Short-Story Creative Writing | — | 69% |
| WildBench | — | 80.1% |
| EQ-Bench 4 | 1340 | — |
| LiveBench Language | — | 39.4% |
Frequently asked questions
Is Claude Fable 5 better than Mistral Large?
Claude Fable 5 is the stronger model overall, scoring 66.8 to 31.9 on the Noometry Index. Mistral Large costs 6.7× less per token, which makes it the better buy when Claude Fable 5's lead doesn't matter for your workload.
Which is cheaper, Claude Fable 5 or Mistral Large?
Mistral Large is cheaper. It lists at $2 per million input tokens and $6 per million output tokens; Claude Fable 5 lists at $10 and $50.
Is Claude Fable 5 or Mistral Large better for coding?
Claude Fable 5 scores higher on coding benchmarks: 70.6 versus 34.3 in the Noometry coding category.
Which has the bigger context window?
Claude Fable 5 does, with 1M tokens against 131K.
How many benchmarks do Claude Fable 5 and Mistral Large share?
27 benchmarks have published results for both models. Claude Fable 5 has 62 scored results on Noometry and Mistral Large has 51.