Model comparison
Claude Sonnet 4.5 vs MiMo-V2.5
Claude Sonnet 4.5 is the stronger model overall, scoring 44.0 to 43.0 on the Noometry Index. MiMo-V2.5 costs 34× less per token, which makes it the better buy when Claude Sonnet 4.5's lead doesn't matter for your workload.
Last verified . 22 shared benchmarks.
Summary
- They share 22 benchmarks with published results for both. Claude Sonnet 4.5 scores higher in 5 categories and MiMo-V2.5 in 4 categories; 7 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where Claude Sonnet 4.5 leads 48.4 to 40.2.
- MiMo-V2.5 is cheaper at $0.14 / $0.28 per million input/output tokens, against $3 / $15 for Claude Sonnet 4.5.
- MiMo-V2.5 accepts more context: 1.05M tokens versus 1M.
- MiMo-V2.5 has downloadable open weights; the other is API-only.
Side by side
| Claude Sonnet 4.5 | MiMo-V2.5 | |
|---|---|---|
| Provider | Anthropic | Xiaomi |
| Noometry Index | 44.0 | 43.0 |
| Released | 2025-09-29 | 2026-04-22 |
| Weights | Proprietary | Open |
| Context window | 1M | 1.05M |
| Max output | 64K | 131K |
| Input $ / M tokens | $3 | $0.14 |
| Output $ / M tokens | $15 | $0.28 |
| Results tracked | 73 | 23 |
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Category by category
Coding Claude Sonnet 4.5 leads
Claude Sonnet 4.5: 47.8 (#54), MiMo-V2.5: 43.6 (#75)
| Benchmark | Claude Sonnet 4.5 | MiMo-V2.5 |
|---|---|---|
| LMArena WebDev | 1393 | 1438 |
| SciCode | 44.7% | 43.1% |
| LMArena Coding | 1489 | 1469 |
| ALE-Bench | 796.15 | 513.95 |
| SWE-bench Verified | 71.3% | — |
| SWE-bench Verified (bash only) | 71.4% | — |
| SWE-bench Multilingual | 67% | — |
| GSO | 14.7% | — |
| WeirdML | 47.7% | — |
| AlgoTune | 1.52 | — |
Agentic & Tool Use Not comparable
Claude Sonnet 4.5: 38.1 (#30), MiMo-V2.5: —
| Benchmark | Claude Sonnet 4.5 | MiMo-V2.5 |
|---|---|---|
| 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 Too close to call
Claude Sonnet 4.5: 26.9 (#113), MiMo-V2.5: 27.8 (#98)
| Benchmark | Claude Sonnet 4.5 | MiMo-V2.5 |
|---|---|---|
| CritPt | 1.1% | 3.7% |
| LMArena Hard Prompts | 1462 | 1450 |
| 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-V2.5 leads
Claude Sonnet 4.5: 31.9 (#190), MiMo-V2.5: 35.4 (#145)
| Benchmark | Claude Sonnet 4.5 | MiMo-V2.5 |
|---|---|---|
| ProofBench | 19% | 16% |
| LMArena Math | 1448 | 1436 |
| 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 (#70), MiMo-V2.5: 40.2 (#109)
| Benchmark | Claude Sonnet 4.5 | MiMo-V2.5 |
|---|---|---|
| LMArena Expert | 1483 | 1459 |
| 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-V2.5 leads
Claude Sonnet 4.5: 34.1 (#84), MiMo-V2.5: 39.0 (#53)
| Benchmark | Claude Sonnet 4.5 | MiMo-V2.5 |
|---|---|---|
| LMArena Vision | — | 1245 |
| VPCT | 39.8% | — |
| LMArena Document | 1450 | — |
Multilingual Claude Sonnet 4.5 leads
Claude Sonnet 4.5: 53.6 (#65), MiMo-V2.5: 52.0 (#96)
| Benchmark | Claude Sonnet 4.5 | MiMo-V2.5 |
|---|---|---|
| LMArena Non-English | 1425 | 1404 |
| LMArena Chinese | 1459 | 1467 |
| LMArena French | 1459 | 1447 |
| LMArena German | 1427 | 1421 |
| LMArena Japanese | 1390 | 1304 |
| LMArena Korean | 1403 | 1363 |
| LMArena Russian | 1436 | 1395 |
| LMArena Spanish | 1457 | 1412 |
Instruction Following Too close to call
Claude Sonnet 4.5: 75.2 (#74), MiMo-V2.5: 75.7 (#55)
| Benchmark | Claude Sonnet 4.5 | MiMo-V2.5 |
|---|---|---|
| LMArena Instruction Following | 1459 | 1433 |
| IFEval | 85% | — |
Long Context Claude Sonnet 4.5 leads
Claude Sonnet 4.5: 45.2 (#45), MiMo-V2.5: 44.1 (#69)
| Benchmark | Claude Sonnet 4.5 | MiMo-V2.5 |
|---|---|---|
| LMArena Longer Query | 1476 | 1444 |
Writing & Preference Claude Sonnet 4.5 leads
Claude Sonnet 4.5: 66.7 (#33), MiMo-V2.5: 61.8 (#82)
| Benchmark | Claude Sonnet 4.5 | MiMo-V2.5 |
|---|---|---|
| LMArena Text | 1439 | 1427 |
| LMArena Creative Writing | 1442 | 1392 |
| LMArena Multi-Turn | 1465 | 1445 |
| EQ-Bench Creative Writing | 1678 | — |
| WildBench | 85.4% | — |
Frequently asked questions
Is Claude Sonnet 4.5 better than MiMo-V2.5?
Claude Sonnet 4.5 is the stronger model overall, scoring 44.0 to 43.0 on the Noometry Index. MiMo-V2.5 costs 34× less per token, which makes it the better buy when Claude Sonnet 4.5's lead doesn't matter for your workload.
Which is cheaper, Claude Sonnet 4.5 or MiMo-V2.5?
MiMo-V2.5 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-V2.5 better for coding?
Claude Sonnet 4.5 scores higher on coding benchmarks: 47.8 versus 43.6 in the Noometry coding category.
Which has the bigger context window?
MiMo-V2.5 does, with 1.05M tokens against 1M.
How many benchmarks do Claude Sonnet 4.5 and MiMo-V2.5 share?
22 benchmarks have published results for both models. Claude Sonnet 4.5 has 73 scored results on Noometry and MiMo-V2.5 has 23.