Model comparison
Claude Opus 4.7 vs MiMo-V2-Pro
Claude Opus 4.7 is the stronger model overall, scoring 58.3 to 43.0 on the Noometry Index. MiMo-V2-Pro costs 18× less per token, which makes it the better buy when Claude Opus 4.7's lead doesn't matter for your workload.
Last verified . 21 shared benchmarks.
Summary
- They share 21 benchmarks with published results for both. Claude Opus 4.7 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 4.7 leads 53.8 to 22.1.
- The biggest single-benchmark swing is Thematic Generalization: 72.8% for Claude Opus 4.7 and 45.9% 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 4.7.
- MiMo-V2-Pro accepts more context: 1.05M tokens versus 1M.
Side by side
| Claude Opus 4.7 | MiMo-V2-Pro | |
|---|---|---|
| Provider | Anthropic | Xiaomi |
| Noometry Index | 58.3 | 43.0 |
| Released | 2026-04-14 | 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 | 66 | 23 |
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Category by category
Coding Claude Opus 4.7 leads
Claude Opus 4.7: 59.6 (#13), MiMo-V2-Pro: 43.8 (#83)
| Benchmark | Claude Opus 4.7 | MiMo-V2-Pro |
|---|---|---|
| LMArena WebDev | 1558 | 1433 |
| LMArena Coding | 1518 | 1476 |
| ALE-Bench | 1,323 | 785.17 |
| SWE-bench Verified | 83.5% | — |
| FrontierCode | 38.5% | — |
| SciCode | 54.5% | — |
| GSO | 44.1% | — |
| WeirdML | 76.4% | — |
| MirrorCode | 31.1% | — |
Agentic & Tool Use Not comparable
Claude Opus 4.7: 47.9 (#10), MiMo-V2-Pro: —
| Benchmark | Claude Opus 4.7 | MiMo-V2-Pro |
|---|---|---|
| Terminal-Bench | 80.2% | — |
| APEX-Agents | 49.2% | — |
| OSWorld 2.0 | 18.2% | — |
| τ²-bench Banking | 40.2% | — |
| PostTrainBench | 28.6% | — |
| ExploitBench | 26.5% | — |
| GBAEval | 43.8% | — |
| GDP.pdf | 21% | — |
| LMArena Search | 1233 | — |
| Vending-Bench 2 | 10,937 | — |
Reasoning Claude Opus 4.7 leads
Claude Opus 4.7: 53.8 (#29), MiMo-V2-Pro: 22.1 (#206)
| Benchmark | Claude Opus 4.7 | MiMo-V2-Pro |
|---|---|---|
| NYT Connections (extended) | 39% | 25.8% |
| Thematic Generalization | 72.8% | 45.9% |
| LMArena Hard Prompts | 1506 | 1457 |
| ARC-AGI-2 | 75.8% | — |
| SimpleBench | 61.7% | — |
| Kagi LLM Benchmark | 80.7% | — |
| ARC-AGI-1 | 93.5% | — |
| CritPt | 12% | — |
| Chess Puzzles | 30% | — |
| EBR-Bench | 19% | — |
| Mystery Game Puzzles | 28% | — |
| DTBench | 94.7% | — |
| LMCA | 52.2% | — |
| Epoch Capabilities Index | 156.25 | — |
| ForecastBench | 60.3 | — |
Math Claude Opus 4.7 leads
Claude Opus 4.7: 66.7 (#26), MiMo-V2-Pro: 39.5 (#102)
| Benchmark | Claude Opus 4.7 | MiMo-V2-Pro |
|---|---|---|
| LMArena Math | 1499 | 1447 |
| FrontierMath (Tiers 1-3) | 70.2% | — |
| FrontierMath Tier 4 | 31.7% | — |
| MathArena Final-Answer Competitions | 73.6% | — |
| OTIS Mock AIME 2024-2025 | 97.8% | — |
| ProofBench | 54% | — |
| FrontierMath (Feb 2025 set) | 43.8% | — |
| FrontierMath Tier 4 (v1) | 22.9% | — |
Knowledge Claude Opus 4.7 leads
Claude Opus 4.7: 62.6 (#23), MiMo-V2-Pro: 41.4 (#111)
| Benchmark | Claude Opus 4.7 | MiMo-V2-Pro |
|---|---|---|
| LMArena Expert | 1521 | 1478 |
| GPQA Diamond | 90.2% | — |
| Humanity's Last Exam | 36.2% | — |
| SimpleQA Verified | 51.7% | — |
| Vectara Hallucination Rate | 12% | — |
Multimodal Not comparable
Claude Opus 4.7: 41.2 (#38), MiMo-V2-Pro: —
| Benchmark | Claude Opus 4.7 | MiMo-V2-Pro |
|---|---|---|
| LMArena Vision | 1316 | — |
| Blueprint-Bench 2 | 24.5% | — |
| Furniture Assembly | 33.3% | — |
| LMArena Document | 1495 | — |
Multilingual Claude Opus 4.7 leads
Claude Opus 4.7: 57.3 (#10), MiMo-V2-Pro: 52.7 (#81)
| Benchmark | Claude Opus 4.7 | MiMo-V2-Pro |
|---|---|---|
| LMArena Non-English | 1480 | 1416 |
| LMArena Chinese | 1531 | 1456 |
| LMArena French | 1503 | 1469 |
| LMArena German | 1495 | 1417 |
| LMArena Japanese | 1472 | 1366 |
| LMArena Korean | 1464 | 1400 |
| LMArena Russian | 1494 | 1427 |
| LMArena Spanish | 1495 | 1457 |
Instruction Following Claude Opus 4.7 leads
Claude Opus 4.7: 78.4 (#10), MiMo-V2-Pro: 76.0 (#49)
| Benchmark | Claude Opus 4.7 | MiMo-V2-Pro |
|---|---|---|
| LMArena Instruction Following | 1498 | 1445 |
Long Context Claude Opus 4.7 leads
Claude Opus 4.7: 46.2 (#25), MiMo-V2-Pro: 41.5 (#138)
| Benchmark | Claude Opus 4.7 | MiMo-V2-Pro |
|---|---|---|
| LMArena Longer Query | 1505 | 1455 |
| CL-bench | — | 15.7% |
| CL-bench Life | — | 6.9% |
Writing & Preference Claude Opus 4.7 leads
Claude Opus 4.7: 75.1 (#8), MiMo-V2-Pro: 62.8 (#70)
| Benchmark | Claude Opus 4.7 | MiMo-V2-Pro |
|---|---|---|
| LMArena Text | 1490 | 1436 |
| LMArena Creative Writing | 1486 | 1415 |
| LMArena Multi-Turn | 1505 | 1456 |
| EQ-Bench Creative Writing | 1914 | — |
| EQ-Bench 4 | 1311 | — |
Frequently asked questions
Is Claude Opus 4.7 better than MiMo-V2-Pro?
Claude Opus 4.7 is the stronger model overall, scoring 58.3 to 43.0 on the Noometry Index. MiMo-V2-Pro costs 18× less per token, which makes it the better buy when Claude Opus 4.7's lead doesn't matter for your workload.
Which is cheaper, Claude Opus 4.7 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 4.7 lists at $5 and $25.
Is Claude Opus 4.7 or MiMo-V2-Pro better for coding?
Claude Opus 4.7 scores higher on coding benchmarks: 59.6 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 4.7 and MiMo-V2-Pro share?
21 benchmarks have published results for both models. Claude Opus 4.7 has 66 scored results on Noometry and MiMo-V2-Pro has 23.