Model comparison
Claude Opus 5 vs MiMo-V2-Pro
Claude Opus 5 is the stronger model overall, scoring 67.8 to 43.0 on the Noometry Index. MiMo-V2-Pro costs 18× less per token, which makes it the better buy when Claude Opus 5's lead doesn't matter for your workload.
Last verified . 20 shared benchmarks.
Summary
- They share 20 benchmarks with published results for both. Claude Opus 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 reasoning, where Claude Opus 5 leads 77.2 to 22.1.
- The biggest single-benchmark swing is NYT Connections (extended): 94.3% for Claude Opus 5 and 25.8% for MiMo-V2-Pro.
- MiMo-V2-Pro is cheaper at $0.43 / $0.87 per million input/output tokens, against $5 / $25 for Claude Opus 5.
- MiMo-V2-Pro accepts more context: 1.05M tokens versus 1M.
Side by side
| Claude Opus 5 | MiMo-V2-Pro | |
|---|---|---|
| Provider | Anthropic | Xiaomi |
| Noometry Index | 67.8 | 43.0 |
| Released | 2026-07-24 | 2026-03-18 |
| Weights | Proprietary | Proprietary |
| Context window | 1M | 1.05M |
| Max output | 128K | 131K |
| Input $ / M tokens | $5 | $0.43 |
| Output $ / M tokens | $25 | $0.87 |
| Results tracked | 57 | 23 |
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Category by category
Coding Claude Opus 5 leads
Claude Opus 5: 67.5 (#5), MiMo-V2-Pro: 43.8 (#83)
| Benchmark | Claude Opus 5 | MiMo-V2-Pro |
|---|---|---|
| LMArena WebDev | 1691 | 1433 |
| LMArena Coding | 1534 | 1476 |
| ALE-Bench | 2,165 | 785.17 |
| DeepSWE | 73.6% | — |
| FrontierCode | 53.4% | — |
| CursorBench | 46.6% | — |
| FrontierSWE | 52% | — |
| SciCode | 56.4% | — |
| WeirdML | 91.8% | — |
Agentic & Tool Use Not comparable
Claude Opus 5: 55.6 (#1), MiMo-V2-Pro: —
| Benchmark | Claude Opus 5 | MiMo-V2-Pro |
|---|---|---|
| APEX-Agents | 65.8% | — |
| OSWorld 2.0 | 31.4% | — |
| τ²-bench Banking | 48.7% | — |
| PostTrainBench | 35% | — |
| BALROG | 63.4% | — |
| GBAEval | 79.6% | — |
| GDP.pdf | 24% | — |
| Vending-Bench 2 | 11,182 | — |
Reasoning Claude Opus 5 leads
Claude Opus 5: 77.2 (#4), MiMo-V2-Pro: 22.1 (#206)
| Benchmark | Claude Opus 5 | MiMo-V2-Pro |
|---|---|---|
| NYT Connections (extended) | 94.3% | 25.8% |
| LMArena Hard Prompts | 1526 | 1457 |
| ARC-AGI-2 | 90.4% | — |
| SimpleBench | 80.6% | — |
| ARC-AGI-1 | 97.5% | — |
| CritPt | 29.1% | — |
| Chess Puzzles | 42% | — |
| Thematic Generalization | — | 45.9% |
| EBR-Bench | 45.7% | — |
| Mystery Game Puzzles | 59% | — |
| DTBench | 97.9% | — |
| LMCA | 64.5% | — |
| Bench to the Future 3 | 0.12 | — |
| Epoch Capabilities Index | 162.78 | — |
Math Claude Opus 5 leads
Claude Opus 5: 86.2 (#8), MiMo-V2-Pro: 39.5 (#102)
| Benchmark | Claude Opus 5 | MiMo-V2-Pro |
|---|---|---|
| LMArena Math | 1531 | 1447 |
| FrontierMath (Tiers 1-3) | 85.6% | — |
| FrontierMath Tier 4 | 73.2% | — |
| OTIS Mock AIME 2024-2025 | 98.9% | — |
| ProofBench | 99% | — |
Knowledge Claude Opus 5 leads
Claude Opus 5: 66.8 (#9), MiMo-V2-Pro: 41.4 (#111)
| Benchmark | Claude Opus 5 | MiMo-V2-Pro |
|---|---|---|
| LMArena Expert | 1557 | 1478 |
| GPQA Diamond | 93.9% | — |
| SimpleQA Verified | 59.9% | — |
Multimodal Not comparable
Claude Opus 5: 50.8 (#8), MiMo-V2-Pro: —
| Benchmark | Claude Opus 5 | MiMo-V2-Pro |
|---|---|---|
| LMArena Vision | 1319 | — |
| Blueprint-Bench 2 | 30.4% | — |
| Furniture Assembly | 60.8% | — |
| LMArena Document | 1516 | — |
Multilingual Claude Opus 5 leads
Claude Opus 5: 58.8 (#4), MiMo-V2-Pro: 52.7 (#81)
| Benchmark | Claude Opus 5 | MiMo-V2-Pro |
|---|---|---|
| LMArena Non-English | 1501 | 1416 |
| LMArena Chinese | 1574 | 1456 |
| LMArena French | 1519 | 1469 |
| LMArena German | 1524 | 1417 |
| LMArena Japanese | 1516 | 1366 |
| LMArena Korean | 1521 | 1400 |
| LMArena Russian | 1507 | 1427 |
| LMArena Spanish | 1519 | 1457 |
Instruction Following Claude Opus 5 leads
Claude Opus 5: 79.2 (#7), MiMo-V2-Pro: 76.0 (#49)
| Benchmark | Claude Opus 5 | MiMo-V2-Pro |
|---|---|---|
| LMArena Instruction Following | 1517 | 1445 |
Long Context Claude Opus 5 leads
Claude Opus 5: 46.5 (#21), MiMo-V2-Pro: 41.5 (#138)
| Benchmark | Claude Opus 5 | MiMo-V2-Pro |
|---|---|---|
| LMArena Longer Query | 1515 | 1455 |
| CL-bench | — | 15.7% |
| CL-bench Life | — | 6.9% |
Writing & Preference Claude Opus 5 leads
Claude Opus 5: 79.2 (#1), MiMo-V2-Pro: 62.8 (#70)
| Benchmark | Claude Opus 5 | MiMo-V2-Pro |
|---|---|---|
| LMArena Text | 1507 | 1436 |
| LMArena Creative Writing | 1491 | 1415 |
| LMArena Multi-Turn | 1499 | 1456 |
| EQ-Bench Creative Writing | 2133 | — |
| EQ-Bench 4 | 1385 | — |
Frequently asked questions
Is Claude Opus 5 better than MiMo-V2-Pro?
Claude Opus 5 is the stronger model overall, scoring 67.8 to 43.0 on the Noometry Index. MiMo-V2-Pro costs 18× less per token, which makes it the better buy when Claude Opus 5's lead doesn't matter for your workload.
Which is cheaper, Claude Opus 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 Opus 5 lists at $5 and $25.
Is Claude Opus 5 or MiMo-V2-Pro better for coding?
Claude Opus 5 scores higher on coding benchmarks: 67.5 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 Opus 5 and MiMo-V2-Pro share?
20 benchmarks have published results for both models. Claude Opus 5 has 57 scored results on Noometry and MiMo-V2-Pro has 23.