Model comparison
Claude Opus 4.6 vs MiMo-V2.5-Pro
Claude Opus 4.6 is the stronger model overall, scoring 58.3 to 44.8 on the Noometry Index. MiMo-V2.5-Pro costs 18× less per token, which makes it the better buy when Claude Opus 4.6's lead doesn't matter for your workload.
Last verified . 25 shared benchmarks.
Summary
- They share 25 benchmarks with published results for both. Claude Opus 4.6 scores higher in 8 categories and MiMo-V2.5-Pro in 0 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where Claude Opus 4.6 leads 57.7 to 25.9.
- The biggest single-benchmark swing is NYT Connections (extended): 92.1% for Claude Opus 4.6 and 34.4% for MiMo-V2.5-Pro.
- MiMo-V2.5-Pro is cheaper at $0.43 / $0.87 per million input/output tokens, against $5 / $25 for Claude Opus 4.6.
- 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.
Side by side
| Claude Opus 4.6 | MiMo-V2.5-Pro | |
|---|---|---|
| Provider | Anthropic | Xiaomi |
| Noometry Index | 58.3 | 44.8 |
| Released | 2026-02-04 | 2026-04-22 |
| Weights | Proprietary | Open |
| Context window | 1M | 1.05M |
| Max output | 128K | 131K |
| Input $ / M tokens | $5 | $0.43 |
| Output $ / M tokens | $25 | $0.87 |
| Results tracked | 68 | 27 |
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Category by category
Coding Claude Opus 4.6 leads
Claude Opus 4.6: 57.7 (#15), MiMo-V2.5-Pro: 47.0 (#58)
| Benchmark | Claude Opus 4.6 | MiMo-V2.5-Pro |
|---|---|---|
| LMArena WebDev | 1546 | 1477 |
| LMArena Coding | 1535 | 1502 |
| ALE-Bench | 996.5 | 899.8 |
| SWE-bench Verified | 78.7% | — |
| FrontierCode | 26.6% | — |
| SWE-bench Verified (bash only) | 75.6% | — |
| SWE-bench Multilingual | 72% | — |
| SciCode | — | 50.2% |
| GSO | 41.2% | — |
| WeirdML | 78% | — |
| AlgoTune | 1.47 | — |
Agentic & Tool Use Not comparable
Claude Opus 4.6: 51.0 (#4), MiMo-V2.5-Pro: —
| Benchmark | Claude Opus 4.6 | MiMo-V2.5-Pro |
|---|---|---|
| Terminal-Bench | 79.8% | — |
| APEX-Agents | 46.3% | — |
| Remote Labor Index | 4.2% | — |
| τ²-bench Banking | 27.3% | — |
| Cybench | 93% | — |
| DeepResearch Bench | 55.3% | — |
| GBAEval | 44.1% | — |
| LMArena Search | 1253 | — |
| METR Time Horizons | 78.9% | — |
| Vending-Bench 2 | 8,018 | — |
Reasoning Claude Opus 4.6 leads
Claude Opus 4.6: 57.7 (#21), MiMo-V2.5-Pro: 25.9 (#124)
| Benchmark | Claude Opus 4.6 | MiMo-V2.5-Pro |
|---|---|---|
| NYT Connections (extended) | 92.1% | 34.4% |
| LMArena Hard Prompts | 1527 | 1487 |
| DTBench | 91.2% | 84.5% |
| LMCA | 55.8% | 29.5% |
| ARC-AGI-2 | 69.2% | — |
| SimpleBench | 67.6% | — |
| Kagi LLM Benchmark | 83.6% | — |
| ARC-AGI-1 | 94% | — |
| CritPt | — | 4% |
| Chess Puzzles | 17% | — |
| EnigmaEval | 7.6% | — |
| Thematic Generalization | 80.6% | — |
| EBR-Bench | 12.7% | — |
| Mystery Game Puzzles | 25% | — |
| Epoch Capabilities Index | 155.36 | — |
| ForecastBench | 60 | — |
Math Claude Opus 4.6 leads
Claude Opus 4.6: 62.7 (#25), MiMo-V2.5-Pro: 38.6 (#84)
| Benchmark | Claude Opus 4.6 | MiMo-V2.5-Pro |
|---|---|---|
| ProofBench | 50% | 22% |
| LMArena Math | 1517 | 1480 |
| FrontierMath (Tiers 1-3) | 66% | — |
| FrontierMath Tier 4 | 26.8% | — |
| MathArena Final-Answer Competitions | 78.5% | — |
| OTIS Mock AIME 2024-2025 | 94.4% | — |
| FrontierMath (Feb 2025 set) | 40.7% | — |
| FrontierMath Tier 4 (v1) | 22.9% | — |
Knowledge Claude Opus 4.6 leads
Claude Opus 4.6: 61.8 (#23), MiMo-V2.5-Pro: 41.5 (#100)
| Benchmark | Claude Opus 4.6 | MiMo-V2.5-Pro |
|---|---|---|
| LMArena Expert | 1546 | 1501 |
| GPQA Diamond | 90.5% | — |
| Humanity's Last Exam | 34.4% | — |
| SimpleQA Verified | 47% | — |
| Vectara Hallucination Rate | 12.2% | — |
Multimodal Not comparable
Claude Opus 4.6: 37.0 (#67), MiMo-V2.5-Pro: —
| Benchmark | Claude Opus 4.6 | MiMo-V2.5-Pro |
|---|---|---|
| LMArena Vision | 1316 | — |
| Furniture Assembly | 28.3% | — |
| LMArena Document | 1507 | — |
Multilingual Claude Opus 4.6 leads
Claude Opus 4.6: 58.2 (#4), MiMo-V2.5-Pro: 55.3 (#33)
| Benchmark | Claude Opus 4.6 | MiMo-V2.5-Pro |
|---|---|---|
| LMArena Non-English | 1490 | 1449 |
| LMArena Chinese | 1551 | 1507 |
| LMArena French | 1513 | 1489 |
| LMArena German | 1504 | 1455 |
| LMArena Japanese | 1484 | 1418 |
| LMArena Korean | 1465 | 1436 |
| LMArena Russian | 1497 | 1450 |
| LMArena Spanish | 1512 | 1470 |
Instruction Following Claude Opus 4.6 leads
Claude Opus 4.6: 79.7 (#3), MiMo-V2.5-Pro: 77.6 (#21)
| Benchmark | Claude Opus 4.6 | MiMo-V2.5-Pro |
|---|---|---|
| LMArena Instruction Following | 1523 | 1477 |
Long Context Claude Opus 4.6 leads
Claude Opus 4.6: 48.1 (#13), MiMo-V2.5-Pro: 45.4 (#38)
| Benchmark | Claude Opus 4.6 | MiMo-V2.5-Pro |
|---|---|---|
| LMArena Longer Query | 1520 | 1482 |
| CL-bench | 20.7% | — |
| CL-bench Life | 17% | — |
Writing & Preference Claude Opus 4.6 leads
Claude Opus 4.6: 73.7 (#9), MiMo-V2.5-Pro: 65.5 (#47)
| Benchmark | Claude Opus 4.6 | MiMo-V2.5-Pro |
|---|---|---|
| LMArena Text | 1504 | 1465 |
| LMArena Creative Writing | 1506 | 1440 |
| EQ-Bench Creative Writing | 1809 | 1493 |
| EQ-Bench 4 | 1223 | 1208 |
| LMArena Multi-Turn | 1514 | 1477 |
Frequently asked questions
Is Claude Opus 4.6 better than MiMo-V2.5-Pro?
Claude Opus 4.6 is the stronger model overall, scoring 58.3 to 44.8 on the Noometry Index. MiMo-V2.5-Pro costs 18× less per token, which makes it the better buy when Claude Opus 4.6's lead doesn't matter for your workload.
Which is cheaper, Claude Opus 4.6 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 Opus 4.6 lists at $5 and $25.
Is Claude Opus 4.6 or MiMo-V2.5-Pro better for coding?
Claude Opus 4.6 scores higher on coding benchmarks: 57.7 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 Opus 4.6 and MiMo-V2.5-Pro share?
25 benchmarks have published results for both models. Claude Opus 4.6 has 68 scored results on Noometry and MiMo-V2.5-Pro has 27.