Model comparison
Claude Sonnet 4.5 vs MiMo-V2.6-Flash
MiMo-V2.6-Flash is the stronger model overall, scoring 48.5 to 44.1 on the Noometry Index.
Last verified . 18 shared benchmarks.
Summary
- They share 18 benchmarks with published results for both. Claude Sonnet 4.5 scores higher in 3 categories and MiMo-V2.6-Flash in 6 categories; 7 gaps are clear of the uncertainty.
- The widest gap is in math, where MiMo-V2.6-Flash leads 51.9 to 32.3.
- The biggest single-benchmark swing is ProofBench: 19% for Claude Sonnet 4.5 and 63% for MiMo-V2.6-Flash.
- MiMo-V2.6-Flash is cheaper at $0.14 / $0.28 per million input/output tokens, against $3 / $15 for Claude Sonnet 4.5.
- MiMo-V2.6-Flash accepts more context: 1.05M tokens versus 200K.
- MiMo-V2.6-Flash has downloadable open weights; the other is API-only.
Side by side
| Claude Sonnet 4.5 | MiMo-V2.6-Flash | |
|---|---|---|
| Provider | Anthropic | Xiaomi |
| Noometry Index | 44.1 | 48.5 |
| Released | 2025-09-29 | 2026-09-21 |
| Weights | Proprietary | Open |
| Context window | 200K | 1.05M |
| Max output | 64K | 131K |
| Input $ / M tokens | $3 | $0.14 |
| Output $ / M tokens | $15 | $0.28 |
| Results tracked | 73 | 19 |
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Category by category
Coding MiMo-V2.6-Flash leads
Claude Sonnet 4.5: 47.3 (#61), MiMo-V2.6-Flash: 53.4 (#30)
| Benchmark | Claude Sonnet 4.5 | MiMo-V2.6-Flash |
|---|---|---|
| LMArena WebDev | 1393 | 1637 |
| SciCode | 44.7% | 51.3% |
| LMArena Coding | 1489 | 1504 |
| SWE-bench Verified | 71.3% | — |
| SWE-bench Verified (bash only) | 71.4% | — |
| SWE-bench Multilingual | 67% | — |
| GSO | 14.7% | — |
| WeirdML | 47.7% | — |
| ALE-Bench | 796.15 | — |
| AlgoTune | 1.52 | — |
Agentic & Tool Use Not comparable
Claude Sonnet 4.5: 38.3 (#32), MiMo-V2.6-Flash: —
| Benchmark | Claude Sonnet 4.5 | MiMo-V2.6-Flash |
|---|---|---|
| Terminal-Bench | 46.5% | — |
| Berkeley Function Calling Leaderboard | 73.2% | — |
| GDPval | 42.5% | — |
| Remote Labor Index | 2.1% | — |
| τ²-bench Airline | 72% | — |
| τ²-bench Banking | 25.3% | — |
| τ²-bench Retail | 72.4% | — |
| τ²-bench Telecom | 84.9% | — |
| Cybench | 60% | — |
| DeepResearch Bench | 52.6% | — |
| OSWorld | 62.9% | — |
| LMArena Search | 1159 | — |
| METR Time Horizons | 67.4% | — |
| Vending-Bench 2 | 3,839 | — |
Reasoning MiMo-V2.6-Flash leads
Claude Sonnet 4.5: 26.9 (#125), MiMo-V2.6-Flash: 36.5 (#66)
| Benchmark | Claude Sonnet 4.5 | MiMo-V2.6-Flash |
|---|---|---|
| CritPt | 1.1% | 12% |
| LMArena Hard Prompts | 1462 | 1482 |
| ARC-AGI-2 | 13.6% | — |
| SimpleBench | 54.3% | — |
| Kagi LLM Benchmark | 57.9% | — |
| NYT Connections (extended) | 37.3% | — |
| ARC-AGI-1 | 63.7% | — |
| Chess Puzzles | 12% | — |
| EnigmaEval | 6% | — |
| EBR-Bench | 2.4% | — |
| Mystery Game Puzzles | 17% | — |
| DTBench | 83.2% | — |
| LMCA | 38.8% | — |
| Epoch Capabilities Index | 146.84 | — |
| ForecastBench | 61.9 | — |
Math MiMo-V2.6-Flash leads
Claude Sonnet 4.5: 32.3 (#216), MiMo-V2.6-Flash: 51.9 (#52)
| Benchmark | Claude Sonnet 4.5 | MiMo-V2.6-Flash |
|---|---|---|
| ProofBench | 19% | 63% |
| LMArena Math | 1449 | 1468 |
| FrontierMath (Tiers 1-3) | 23.9% | — |
| FrontierMath Tier 4 | 2.4% | — |
| OTIS Mock AIME 2024-2025 | 77.8% | — |
| Omni-MATH | 55.3% | — |
| MATH Level 5 | 97.7% | — |
| FrontierMath (Feb 2025 set) | 15.2% | — |
| FrontierMath Tier 4 (v1) | 4.2% | — |
Knowledge Claude Sonnet 4.5 leads
Claude Sonnet 4.5: 48.4 (#76), MiMo-V2.6-Flash: 42.2 (#99)
| Benchmark | Claude Sonnet 4.5 | MiMo-V2.6-Flash |
|---|---|---|
| LMArena Expert | 1482 | 1501 |
| GPQA Diamond | 82.3% | — |
| Humanity's Last Exam | 13.7% | — |
| SimpleQA Verified | 30.7% | — |
| MMLU-Pro | 86.9% | — |
| Vectara Hallucination Rate | 12% | — |
| GPQA (HELM) | 68.6% | — |
Multimodal MiMo-V2.6-Flash leads
Claude Sonnet 4.5: 34.8 (#89), MiMo-V2.6-Flash: 40.5 (#47)
| Benchmark | Claude Sonnet 4.5 | MiMo-V2.6-Flash |
|---|---|---|
| LMArena Vision | — | 1259 |
| VPCT | 39.8% | — |
| LMArena Document | 1450 | — |
Multilingual Too close to call
Claude Sonnet 4.5: 53.4 (#69), MiMo-V2.6-Flash: 54.0 (#51)
| Benchmark | Claude Sonnet 4.5 | MiMo-V2.6-Flash |
|---|---|---|
| LMArena Non-English | 1425 | 1434 |
| LMArena Chinese | 1459 | 1511 |
| LMArena French | 1458 | 1475 |
| LMArena Russian | 1437 | 1409 |
| LMArena Spanish | 1457 | 1456 |
| LMArena German | 1427 | — |
| LMArena Japanese | 1390 | — |
| LMArena Korean | 1403 | — |
Instruction Following MiMo-V2.6-Flash leads
Claude Sonnet 4.5: 75.0 (#78), MiMo-V2.6-Flash: 76.8 (#35)
| Benchmark | Claude Sonnet 4.5 | MiMo-V2.6-Flash |
|---|---|---|
| LMArena Instruction Following | 1459 | 1463 |
| IFEval | 85% | — |
Long Context Too close to call
Claude Sonnet 4.5: 45.2 (#46), MiMo-V2.6-Flash: 44.8 (#57)
| Benchmark | Claude Sonnet 4.5 | MiMo-V2.6-Flash |
|---|---|---|
| LMArena Longer Query | 1476 | 1463 |
Writing & Preference Claude Sonnet 4.5 leads
Claude Sonnet 4.5: 66.5 (#34), MiMo-V2.6-Flash: 63.1 (#67)
| Benchmark | Claude Sonnet 4.5 | MiMo-V2.6-Flash |
|---|---|---|
| LMArena Text | 1439 | 1455 |
| LMArena Creative Writing | 1442 | 1400 |
| LMArena Multi-Turn | 1465 | 1451 |
| EQ-Bench Creative Writing | 1678 | — |
| WildBench | 85.4% | — |
Frequently asked questions
Is Claude Sonnet 4.5 better than MiMo-V2.6-Flash?
MiMo-V2.6-Flash is the stronger model overall, scoring 48.5 to 44.1 on the Noometry Index.
Which is cheaper, Claude Sonnet 4.5 or MiMo-V2.6-Flash?
MiMo-V2.6-Flash is cheaper. It lists at $0.14 per million input tokens and $0.28 per million output tokens; Claude Sonnet 4.5 lists at $3 and $15.
Is Claude Sonnet 4.5 or MiMo-V2.6-Flash better for coding?
MiMo-V2.6-Flash scores higher on coding benchmarks: 53.4 versus 47.3 in the Noometry coding category.
Which has the bigger context window?
MiMo-V2.6-Flash does, with 1.05M tokens against 200K.
How many benchmarks do Claude Sonnet 4.5 and MiMo-V2.6-Flash share?
18 benchmarks have published results for both models. Claude Sonnet 4.5 has 73 scored results on Noometry and MiMo-V2.6-Flash has 19.