Model comparison
Claude Sonnet 4.6 vs MiMo-V2.6-Pro
Claude Sonnet 4.6 and MiMo-V2.6-Pro score almost the same on the Noometry Index (50.3 vs 50.3), so choose on price, context window or the category you care about most.
Last verified . 19 shared benchmarks.
Summary
- They share 19 benchmarks with published results for both. Claude Sonnet 4.6 scores higher in 4 categories and MiMo-V2.6-Pro in 6 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in coding, where MiMo-V2.6-Pro leads 55.5 to 46.3.
- The biggest single-benchmark swing is ProofBench: 45% for Claude Sonnet 4.6 and 70% for MiMo-V2.6-Pro.
- MiMo-V2.6-Pro is cheaper at $0.43 / $0.87 per million input/output tokens, against $3 / $15 for Claude Sonnet 4.6.
- MiMo-V2.6-Pro accepts more context: 1.05M tokens versus 1M.
- MiMo-V2.6-Pro has downloadable open weights; the other is API-only.
Side by side
| Claude Sonnet 4.6 | MiMo-V2.6-Pro | |
|---|---|---|
| Provider | Anthropic | Xiaomi |
| Noometry Index | 50.3 | 50.3 |
| Released | 2026-02-17 | 2026-09-21 |
| Weights | Proprietary | Open |
| Context window | 1M | 1.05M |
| Max output | 128K | 131K |
| Input $ / M tokens | $3 | $0.43 |
| Output $ / M tokens | $15 | $0.87 |
| Results tracked | 57 | 19 |
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Category by category
Coding MiMo-V2.6-Pro leads
Claude Sonnet 4.6: 46.3 (#67), MiMo-V2.6-Pro: 55.5 (#23)
| Benchmark | Claude Sonnet 4.6 | MiMo-V2.6-Pro |
|---|---|---|
| LMArena WebDev | 1522 | 1629 |
| SciCode | 46.8% | 60.9% |
| LMArena Coding | 1504 | 1534 |
| ALE-Bench | 1,327 | 1,158 |
| SWE-bench Verified | 75.2% | — |
| DeepSWE | 29.9% | — |
| FrontierCode | 24.3% | — |
| WeirdML | 66.1% | — |
Agentic & Tool Use Claude Sonnet 4.6 leads
Claude Sonnet 4.6: 39.1 (#28), MiMo-V2.6-Pro: 37.5 (#35)
| Benchmark | Claude Sonnet 4.6 | MiMo-V2.6-Pro |
|---|---|---|
| APEX-Agents | 43% | 59.5% |
| Terminal-Bench | 53.4% | — |
| OSWorld 2.0 | 9.3% | — |
| DeepResearch Bench | 54.9% | — |
| OSWorld | 72.1% | — |
| ExploitBench | 23.6% | — |
| GBAEval | 48.8% | — |
| GDP.pdf | 18% | — |
| LMArena Search | 1221 | — |
| Vending-Bench 2 | 7,204 | — |
Reasoning Claude Sonnet 4.6 leads
Claude Sonnet 4.6: 46.1 (#45), MiMo-V2.6-Pro: 43.1 (#50)
| Benchmark | Claude Sonnet 4.6 | MiMo-V2.6-Pro |
|---|---|---|
| CritPt | 3.1% | 26.6% |
| LMArena Hard Prompts | 1484 | 1512 |
| ARC-AGI-2 | 60.4% | — |
| NYT Connections (extended) | 80.9% | — |
| ARC-AGI-1 | 86.5% | — |
| Chess Puzzles | 13% | — |
| Thematic Generalization | 76.3% | — |
| Mystery Game Puzzles | 16% | — |
| DTBench | 89.9% | — |
| LMCA | 46.5% | — |
| Epoch Capabilities Index | 152.24 | — |
| ForecastBench | 62 | — |
Math MiMo-V2.6-Pro leads
Claude Sonnet 4.6: 52.9 (#49), MiMo-V2.6-Pro: 54.5 (#45)
| Benchmark | Claude Sonnet 4.6 | MiMo-V2.6-Pro |
|---|---|---|
| ProofBench | 45% | 70% |
| LMArena Math | 1462 | 1494 |
| OTIS Mock AIME 2024-2025 | 85.8% | — |
| FrontierMath (Feb 2025 set) | 32.4% | — |
| FrontierMath Tier 4 (v1) | 8.3% | — |
Knowledge Claude Sonnet 4.6 leads
Claude Sonnet 4.6: 51.7 (#65), MiMo-V2.6-Pro: 43.5 (#92)
| Benchmark | Claude Sonnet 4.6 | MiMo-V2.6-Pro |
|---|---|---|
| LMArena Expert | 1500 | 1543 |
| GPQA Diamond | 87.4% | — |
| SimpleQA Verified | 35.5% | — |
| Vectara Hallucination Rate | 10.6% | — |
Multimodal MiMo-V2.6-Pro leads
Claude Sonnet 4.6: 38.0 (#68), MiMo-V2.6-Pro: 40.8 (#43)
| Benchmark | Claude Sonnet 4.6 | MiMo-V2.6-Pro |
|---|---|---|
| LMArena Vision | 1283 | 1264 |
| Blueprint-Bench 2 | 6.7% | — |
| LMArena Document | 1482 | — |
Multilingual MiMo-V2.6-Pro leads
Claude Sonnet 4.6: 54.4 (#41), MiMo-V2.6-Pro: 56.9 (#14)
| Benchmark | Claude Sonnet 4.6 | MiMo-V2.6-Pro |
|---|---|---|
| LMArena Non-English | 1440 | 1474 |
| LMArena Chinese | 1491 | 1529 |
| LMArena Russian | 1440 | 1480 |
| LMArena French | 1465 | — |
| LMArena German | 1428 | — |
| LMArena Japanese | 1420 | — |
| LMArena Korean | 1411 | — |
| LMArena Spanish | 1464 | — |
Instruction Following Too close to call
Claude Sonnet 4.6: 77.4 (#25), MiMo-V2.6-Pro: 78.2 (#12)
| Benchmark | Claude Sonnet 4.6 | MiMo-V2.6-Pro |
|---|---|---|
| LMArena Instruction Following | 1475 | 1493 |
Long Context Too close to call
Claude Sonnet 4.6: 45.3 (#44), MiMo-V2.6-Pro: 46.0 (#27)
| Benchmark | Claude Sonnet 4.6 | MiMo-V2.6-Pro |
|---|---|---|
| LMArena Longer Query | 1479 | 1501 |
Writing & Preference Claude Sonnet 4.6 leads
Claude Sonnet 4.6: 70.2 (#22), MiMo-V2.6-Pro: 66.8 (#33)
| Benchmark | Claude Sonnet 4.6 | MiMo-V2.6-Pro |
|---|---|---|
| LMArena Text | 1458 | 1492 |
| LMArena Creative Writing | 1435 | 1468 |
| LMArena Multi-Turn | 1464 | 1464 |
| EQ-Bench Creative Writing | 1810 | — |
| EQ-Bench 4 | 1207 | — |
Frequently asked questions
Is Claude Sonnet 4.6 better than MiMo-V2.6-Pro?
Claude Sonnet 4.6 and MiMo-V2.6-Pro score almost the same on the Noometry Index (50.3 vs 50.3), so choose on price, context window or the category you care about most.
Which is cheaper, Claude Sonnet 4.6 or MiMo-V2.6-Pro?
MiMo-V2.6-Pro is cheaper. It lists at $0.43 per million input tokens and $0.87 per million output tokens; Claude Sonnet 4.6 lists at $3 and $15.
Is Claude Sonnet 4.6 or MiMo-V2.6-Pro better for coding?
MiMo-V2.6-Pro scores higher on coding benchmarks: 55.5 versus 46.3 in the Noometry coding category.
Which has the bigger context window?
MiMo-V2.6-Pro does, with 1.05M tokens against 1M.
How many benchmarks do Claude Sonnet 4.6 and MiMo-V2.6-Pro share?
19 benchmarks have published results for both models. Claude Sonnet 4.6 has 57 scored results on Noometry and MiMo-V2.6-Pro has 19.