# Claude Fable 5 vs MiMo-V2.5-Pro

> Claude Fable 5 is the stronger model overall, scoring 66.3 to 44.8 on the Noometry Index. MiMo-V2.5-Pro costs 37× less per token, which makes it the better buy when Claude Fable 5's lead doesn't matter for your workload.

- Canonical page: https://noometry.com/compare/claude-fable-5-vs-mimo-v2-5-pro
- Last updated: 2026-10-10
- Shared benchmarks: 27

## Summary

- They share 27 benchmarks with published results for both. Claude Fable 5 scores higher in 8 categories and MiMo-V2.5-Pro in 0 categories; 7 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where Claude Fable 5 leads 76.8 to 25.9.
- The biggest single-benchmark swing is ProofBench: 95% for Claude Fable 5 and 22% for MiMo-V2.5-Pro.
- MiMo-V2.5-Pro is cheaper at $0.43 / $0.87 per million input/output tokens, against $10 / $50 for Claude Fable 5.
- MiMo-V2.5-Pro accepts more context: 1.05M tokens versus 1M.
- MiMo-V2.5-Pro has downloadable open weights; the other is API-only.

## Snapshot

| | Claude Fable 5 | MiMo-V2.5-Pro |
|---|---|---|
| Provider | Anthropic | Xiaomi |
| Noometry Index | 66.3 | 44.8 |
| Rank | 5 | 70 |
| Context | 1M | 1.05M |
| Input $/M | $10 | $0.43 |
| Output $/M | $50 | $0.87 |
| Weights | Proprietary | Open |

## Coding

- Claude Fable 5: 67.0 (#4)
- MiMo-V2.5-Pro: 47.0 (#58)

| Benchmark | Claude Fable 5 | MiMo-V2.5-Pro |
|---|---|---|
| LMArena WebDev | 1626 | 1477 |
| SciCode | 61% | 50.2% |
| LMArena Coding | 1519 | 1502 |
| ALE-Bench | 2,041 | 899.8 |
| DeepSWE | 69.9% | — |
| FrontierCode | 53.5% | — |
| FrontierSWE | 47% | — |
| WeirdML | 91.9% | — |
| MirrorCode | 63.9% | — |

## Agentic & Tool Use

- Claude Fable 5: 54.1 (#2)
- MiMo-V2.5-Pro: —

| Benchmark | Claude Fable 5 | MiMo-V2.5-Pro |
|---|---|---|
| APEX-Agents | 63.6% | — |
| 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: 76.8 (#4)
- MiMo-V2.5-Pro: 25.9 (#124)

| Benchmark | Claude Fable 5 | MiMo-V2.5-Pro |
|---|---|---|
| NYT Connections (extended) | 92.7% | 34.4% |
| CritPt | 28.6% | 4% |
| LMArena Hard Prompts | 1508 | 1487 |
| DTBench | 98.4% | 84.5% |
| LMCA | 61.1% | 29.5% |
| ARC-AGI-2 | 89.2% | — |
| SimpleBench | 81.9% | — |
| Kagi LLM Benchmark | 91.4% | — |
| ARC-AGI-1 | 98.5% | — |
| Chess Puzzles | 41% | — |
| EnigmaEval | 39.3% | — |
| EBR-Bench | 39.5% | — |
| Mystery Game Puzzles | 52% | — |
| Surface Evolver Bench | 95% | — |
| Bench to the Future 3 | 0.13 | — |
| Epoch Capabilities Index | 163.6 | — |

## Math

- Claude Fable 5: 88.4 (#5)
- MiMo-V2.5-Pro: 38.6 (#84)

| Benchmark | Claude Fable 5 | MiMo-V2.5-Pro |
|---|---|---|
| ProofBench | 95% | 22% |
| LMArena Math | 1519 | 1480 |
| FrontierMath (Tiers 1-3) | 87% | — |
| FrontierMath Tier 4 | 90.2% | — |
| OTIS Mock AIME 2024-2025 | 100% | — |
| FrontierMath Erdős | 0% | — |

## Knowledge

- Claude Fable 5: 62.3 (#22)
- MiMo-V2.5-Pro: 41.5 (#100)

| Benchmark | Claude Fable 5 | MiMo-V2.5-Pro |
|---|---|---|
| LMArena Expert | 1534 | 1501 |
| GPQA Diamond | 85.9% | — |
| SimpleQA Verified | 70.7% | — |

## Multimodal

- Claude Fable 5: 45.6 (#14)
- MiMo-V2.5-Pro: —

| Benchmark | Claude Fable 5 | MiMo-V2.5-Pro |
|---|---|---|
| LMArena Vision | 1326 | — |
| Blueprint-Bench 2 | 38.6% | — |
| Furniture Assembly | 35.8% | — |
| LMArena Document | 1496 | — |

## Multilingual

- Claude Fable 5: 57.6 (#8)
- MiMo-V2.5-Pro: 55.3 (#33)

| Benchmark | Claude Fable 5 | MiMo-V2.5-Pro |
|---|---|---|
| LMArena Non-English | 1483 | 1449 |
| LMArena Chinese | 1546 | 1507 |
| LMArena French | 1509 | 1489 |
| LMArena German | 1486 | 1455 |
| LMArena Japanese | 1507 | 1418 |
| LMArena Korean | 1493 | 1436 |
| LMArena Russian | 1507 | 1450 |
| LMArena Spanish | 1503 | 1470 |

## Instruction Following

- Claude Fable 5: 78.8 (#7)
- MiMo-V2.5-Pro: 77.6 (#21)

| Benchmark | Claude Fable 5 | MiMo-V2.5-Pro |
|---|---|---|
| LMArena Instruction Following | 1503 | 1477 |

## Long Context

- Claude Fable 5: 46.3 (#22)
- MiMo-V2.5-Pro: 45.4 (#38)

| Benchmark | Claude Fable 5 | MiMo-V2.5-Pro |
|---|---|---|
| LMArena Longer Query | 1510 | 1482 |

## Writing & Preference

- Claude Fable 5: 76.1 (#5)
- MiMo-V2.5-Pro: 65.5 (#47)

| Benchmark | Claude Fable 5 | MiMo-V2.5-Pro |
|---|---|---|
| LMArena Text | 1491 | 1465 |
| LMArena Creative Writing | 1494 | 1440 |
| EQ-Bench Creative Writing | 1943 | 1493 |
| EQ-Bench 4 | 1340 | 1208 |
| LMArena Multi-Turn | 1505 | 1477 |

## FAQ

### Is Claude Fable 5 better than MiMo-V2.5-Pro?

Claude Fable 5 is the stronger model overall, scoring 66.3 to 44.8 on the Noometry Index. MiMo-V2.5-Pro costs 37× 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 MiMo-V2.5-Pro?

MiMo-V2.5-Pro is cheaper. It lists at $0.43 per million input tokens and $0.87 per million output tokens; Claude Fable 5 lists at $10 and $50.

### Is Claude Fable 5 or MiMo-V2.5-Pro better for coding?

Claude Fable 5 scores higher on coding benchmarks: 67.0 versus 47.0 in the Noometry coding category.

### Which has the bigger context window?

MiMo-V2.5-Pro does, with 1.05M tokens against 1M.

### How many benchmarks do Claude Fable 5 and MiMo-V2.5-Pro share?

27 benchmarks have published results for both models. Claude Fable 5 has 61 scored results on Noometry and MiMo-V2.5-Pro has 27.