Model comparison
Claude Sonnet 5.5 vs MiMo-V2-Pro
Claude Sonnet 5.5 is the stronger model overall, scoring 61.9 to 43.0 on the Noometry Index. MiMo-V2-Pro costs 7.4× less per token, which makes it the better buy when Claude Sonnet 5.5's lead doesn't matter for your workload.
Last verified . 15 shared benchmarks.
Summary
- They share 15 benchmarks with published results for both. Claude Sonnet 5.5 scores higher in 8 categories and MiMo-V2-Pro in 0 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in math, where Claude Sonnet 5.5 leads 87.9 to 39.5.
- The biggest single-benchmark swing is NYT Connections (extended): 80.5% for Claude Sonnet 5.5 and 25.8% for MiMo-V2-Pro.
- MiMo-V2-Pro is cheaper at $0.43 / $0.87 per million input/output tokens, against $2 / $10 for Claude Sonnet 5.5.
- MiMo-V2-Pro accepts more context: 1.05M tokens versus 1M.
Side by side
| Claude Sonnet 5.5 | MiMo-V2-Pro | |
|---|---|---|
| Provider | Anthropic | Xiaomi |
| Noometry Index | 61.9 | 43.0 |
| Released | 2026-09-28 | 2026-03-18 |
| Weights | Proprietary | Proprietary |
| Context window | 1M | 1.05M |
| Max output | 128K | 131K |
| Input $ / M tokens | $2 | $0.43 |
| Output $ / M tokens | $10 | $0.87 |
| Results tracked | 32 | 23 |
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Category by category
Coding Claude Sonnet 5.5 leads
Claude Sonnet 5.5: 67.3 (#6), MiMo-V2-Pro: 43.8 (#83)
| Benchmark | Claude Sonnet 5.5 | MiMo-V2-Pro |
|---|---|---|
| LMArena WebDev | 1774 | 1433 |
| LMArena Coding | 1513 | 1476 |
| ALE-Bench | 1,819 | 785.17 |
| FrontierCode | 52.1% | — |
| CursorBench | 55.5% | — |
| FrontierSWE | 61.9% | — |
| SciCode | 61% | — |
Agentic & Tool Use Not comparable
Claude Sonnet 5.5: 45.0 (#16), MiMo-V2-Pro: —
| Benchmark | Claude Sonnet 5.5 | MiMo-V2-Pro |
|---|---|---|
| APEX-Agents | 75.5% | — |
Reasoning Claude Sonnet 5.5 leads
Claude Sonnet 5.5: 54.0 (#28), MiMo-V2-Pro: 22.1 (#206)
| Benchmark | Claude Sonnet 5.5 | MiMo-V2-Pro |
|---|---|---|
| NYT Connections (extended) | 80.5% | 25.8% |
| LMArena Hard Prompts | 1495 | 1457 |
| CritPt | 31.4% | — |
| Thematic Generalization | — | 45.9% |
| Mystery Game Puzzles | 65% | — |
| Epoch Capabilities Index | 165.03 | — |
Math Claude Sonnet 5.5 leads
Claude Sonnet 5.5: 87.9 (#6), MiMo-V2-Pro: 39.5 (#102)
| Benchmark | Claude Sonnet 5.5 | MiMo-V2-Pro |
|---|---|---|
| LMArena Math | 1510 | 1447 |
| FrontierMath (Tiers 1-3) | 88.8% | — |
| FrontierMath Tier 4 | 80.5% | — |
| OTIS Mock AIME 2024-2025 | 100% | — |
| ProofBench | 100% | — |
| FrontierMath Erdős | 2.9% | — |
Knowledge Claude Sonnet 5.5 leads
Claude Sonnet 5.5: 66.0 (#12), MiMo-V2-Pro: 41.4 (#111)
| Benchmark | Claude Sonnet 5.5 | MiMo-V2-Pro |
|---|---|---|
| LMArena Expert | 1540 | 1478 |
| GPQA Diamond | 95.6% | — |
| SimpleQA Verified | 46.5% | — |
Multimodal Not comparable
Claude Sonnet 5.5: 51.5 (#6), MiMo-V2-Pro: —
| Benchmark | Claude Sonnet 5.5 | MiMo-V2-Pro |
|---|---|---|
| LMArena Vision | 1289 | — |
| Furniture Assembly | 75% | — |
Multilingual Claude Sonnet 5.5 leads
Claude Sonnet 5.5: 55.3 (#30), MiMo-V2-Pro: 52.7 (#81)
| Benchmark | Claude Sonnet 5.5 | MiMo-V2-Pro |
|---|---|---|
| LMArena Non-English | 1452 | 1416 |
| LMArena Chinese | 1522 | 1456 |
| LMArena Russian | 1451 | 1427 |
| LMArena French | — | 1469 |
| LMArena German | — | 1417 |
| LMArena Japanese | — | 1366 |
| LMArena Korean | — | 1400 |
| LMArena Spanish | — | 1457 |
Instruction Following Claude Sonnet 5.5 leads
Claude Sonnet 5.5: 78.3 (#11), MiMo-V2-Pro: 76.0 (#49)
| Benchmark | Claude Sonnet 5.5 | MiMo-V2-Pro |
|---|---|---|
| LMArena Instruction Following | 1495 | 1445 |
Long Context Claude Sonnet 5.5 leads
Claude Sonnet 5.5: 45.9 (#28), MiMo-V2-Pro: 41.5 (#138)
| Benchmark | Claude Sonnet 5.5 | MiMo-V2-Pro |
|---|---|---|
| LMArena Longer Query | 1498 | 1455 |
| CL-bench | — | 15.7% |
| CL-bench Life | — | 6.9% |
Writing & Preference Claude Sonnet 5.5 leads
Claude Sonnet 5.5: 66.0 (#40), MiMo-V2-Pro: 62.8 (#70)
| Benchmark | Claude Sonnet 5.5 | MiMo-V2-Pro |
|---|---|---|
| LMArena Text | 1471 | 1436 |
| LMArena Creative Writing | 1465 | 1415 |
| LMArena Multi-Turn | 1474 | 1456 |
Frequently asked questions
Is Claude Sonnet 5.5 better than MiMo-V2-Pro?
Claude Sonnet 5.5 is the stronger model overall, scoring 61.9 to 43.0 on the Noometry Index. MiMo-V2-Pro costs 7.4× less per token, which makes it the better buy when Claude Sonnet 5.5's lead doesn't matter for your workload.
Which is cheaper, Claude Sonnet 5.5 or MiMo-V2-Pro?
MiMo-V2-Pro is cheaper. It lists at $0.43 per million input tokens and $0.87 per million output tokens; Claude Sonnet 5.5 lists at $2 and $10.
Is Claude Sonnet 5.5 or MiMo-V2-Pro better for coding?
Claude Sonnet 5.5 scores higher on coding benchmarks: 67.3 versus 43.8 in the Noometry coding category.
Which has the bigger context window?
MiMo-V2-Pro does, with 1.05M tokens against 1M.
How many benchmarks do Claude Sonnet 5.5 and MiMo-V2-Pro share?
15 benchmarks have published results for both models. Claude Sonnet 5.5 has 32 scored results on Noometry and MiMo-V2-Pro has 23.