Model comparison
Claude Opus 4.5 vs MiMo-V2-Omni
Head-to-head evidence from 14 shared benchmark results across 6 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.
Public leaderboard positions: Claude Opus 4.5 #34 (Supported); MiMo-V2-Omni #40 (Supported). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. Claude Opus 4.5 and MiMo-V2-Omni share 14 comparable benchmark results. 1 of 8 categories are comparable. 45 results are unique to Claude Opus 4.5; 0 to MiMo-V2-Omni.
Updated July 23, 2026- Shared results
- 14
- Claude Opus 4.5 only
- 45
- MiMo-V2-Omni only
- 0
- Comparable categories
- 1 / 8
Pick Claude Opus 4.5 if you want the stronger benchmark profile. MiMo-V2-Omni only becomes the better choice if coding is the priority or you need the larger 262K context window.
Confidence note. This is a partial-evidence comparison with 14 shared benchmark results across 6 evidence categories; 1 of 8 categories currently have scoreable aggregates for both models. Treat the verdict as directional until coverage is more balanced.
Why this result
Claude Opus 4.5 has the cleaner BenchAlign overall profile here, landing at 64.22 versus 63.15. It is a real lead, but still close enough that category-level strengths matter more than the headline number.
MiMo-V2-Omni is the reasoning model in the pair, while Claude Opus 4.5 is not. That usually helps on harder chain-of-thought-heavy tests, but it can also mean more latency and more token spend in real use. MiMo-V2-Omni gives you the larger context window at 262K, compared with 200K for Claude Opus 4.5.
Category breakdown
Exact category averages are shown below. Not measured means BenchLM does not have enough sourced public coverage for that model and category.
| Category | Claude Opus 4.5 | Δ | MiMo-V2-Omni |
|---|---|---|---|
| Coding | Claude Opus 4.571.7 | Margin→ 3.1 | MiMo-V2-Omni74.8 |
| Agentic | Claude Opus 4.562.6 | MarginNo overlap | MiMo-V2-OmniNot measured |
| Reasoning | Claude Opus 4.564.4 | MarginNo overlap | MiMo-V2-OmniNot measured |
| Knowledge | Claude Opus 4.558.1 | MarginNo overlap | MiMo-V2-OmniNot measured |
| Math | Claude Opus 4.557.5 | MarginNo overlap | MiMo-V2-OmniNot measured |
| Multilingual | Claude Opus 4.585.7 | MarginNo overlap | MiMo-V2-OmniNot measured |
| Multimodal | Claude Opus 4.569.9 | MarginNo overlap | MiMo-V2-OmniNot measured |
| Inst. Following | Claude Opus 4.569.5 | MarginNo overlap | MiMo-V2-OmniNot measured |
Decisive benchmark drivers
The largest measured benchmark gaps in this matchup, with exact reported values.
More
- Source ↗
SWE-bench Verified
CodingA 80.9%B 74.8%Winner: Claude Opus 4.5Δ 6.1SWE-bench Verified: Claude Opus 4.5 scored 80.9%; MiMo-V2-Omni scored 74.8%. Claude Opus 4.5 wins this benchmark.
Operational comparison
Runtime and commercial metrics are compared only when both models have a complete sourced value.
| Metric | Claude Opus 4.5 | MiMo-V2-Omni | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | Claude Opus 4.5$5 input / $25 output | MiMo-V2-OmniNot available | A complete price comparison is not available. |
| Generation speedtokens per second | Claude Opus 4.546 tok/s | MiMo-V2-OmniNot available | A complete speed comparison is not available. |
| First-answer latencyseconds to first token | Claude Opus 4.51.01 s | MiMo-V2-OmniNot available | A complete latency comparison is not available. |
| Context windowmaximum listed tokens | Claude Opus 4.5200K | MiMo-V2-Omni262K | MiMo-V2-Omni lists the larger context window. |
Benchmark Deep Dive
Agentic16 benchmarks
| Benchmark | Claude Opus 4.5 | MiMo-V2-Omni | Result |
|---|---|---|---|
| Terminal-Bench 2.0Source | 59.3% | — | Not comparable |
| OSWorld-VerifiedSource | 66.3% | — | Not comparable |
| OSWorldSource | 66.3% | — | Not comparable |
| Claw-EvalSource | 59.6% | 45.2% | Claude Opus 4.5 leads |
| QwenClawBenchSource | 52.3% | — | Not comparable |
| τ³-bench resultsSource | 70.2% | — | Not comparable |
| VITA-BenchSource | 23.3% | — | Not comparable |
| DeepPlanningSource | 26.4% | — | Not comparable |
| ToolathlonSource | 43.5% | — | Not comparable |
| MCP AtlasSource | 42.3% | — | Not comparable |
| MCP-TasksSource | 71.8% | — | Not comparable |
| WideResearchSource | 76.4% | — | Not comparable |
| CyberGymSource | 50.6% | — | Not comparable |
| τ²-bench resultsSource | 86.3% | 91.2% | MiMo-V2-Omni leads |
| Gert LabsSource | 64.23% | — | Not comparable |
| JobBenchSource | 32.3% | — | Not comparable |
CodingMiMo-V2-Omni wins6 benchmarks
| Benchmark | Claude Opus 4.5 | MiMo-V2-Omni | Result |
|---|---|---|---|
| SWE-bench VerifiedSource | 80.9% | 74.8% | Claude Opus 4.5 leads |
| LiveCodeBench v6Source | 84.8% | — | Not comparable |
| SWE-bench ProSource | 57.1% | — | Not comparable |
| SWE MultilingualSource | 77.5% | — | Not comparable |
| NL2RepoSource | 43.2% | — | Not comparable |
| AA-SciCodeSource | 47.0% | 36.7% | Claude Opus 4.5 leads |
Reasoning4 benchmarks
Knowledge13 benchmarks
| Benchmark | Claude Opus 4.5 | MiMo-V2-Omni | Result |
|---|---|---|---|
| GPQASource | 87% | — | Not comparable |
| SuperGPQASource | 70.6% | — | Not comparable |
| MMLU-ProSource | 89.5% | — | Not comparable |
| MMLU-ReduxSource | 96.6% | — | Not comparable |
| C-EvalSource | 92.2% | — | Not comparable |
| HLESource | 30.8% | — | Not comparable |
| Artificial Analysis Intelligence IndexSource | 34.7% | 35.0% | MiMo-V2-Omni leads |
| AA-GPQA DiamondSource | 81.0% | 82.8% | MiMo-V2-Omni leads |
| AA-HLESource | 12.9% | 19.9% | MiMo-V2-Omni leads |
| AA-Omniscience IndexSource | -3.9% | -17.4% | Claude Opus 4.5 leads |
| AA-Omniscience AccuracySource | 40.7% | 18.7% | Claude Opus 4.5 leads |
| AA-Omniscience Hallucination RateSource | 75.4% | 44.4% | MiMo-V2-Omni leads |
| AA MMLU-ProSource | 88.9% | — | Not comparable |
Math7 benchmarks
| Benchmark | Claude Opus 4.5 | MiMo-V2-Omni | Result |
|---|---|---|---|
| AIME26Source | 95.1% | — | Not comparable |
| HMMT Feb 2025Source | 92.9% | — | Not comparable |
| HMMT Nov 2025Source | 93.3% | — | Not comparable |
| HMMT Feb 2026Source | 85.3% | — | Not comparable |
| MMAnswerBenchSource | 84.0% | — | Not comparable |
| FrontierMath v2 (Tiers 1-3)Source | 20.690% | — | Not comparable |
| FrontierMath v2 (Tier 4)Source | 4.167% | — | Not comparable |
Multilingual2 benchmarks
Multimodal8 benchmarks
| Benchmark | Claude Opus 4.5 | MiMo-V2-Omni | Result |
|---|---|---|---|
| MMMU-ProSource | 70.6% | — | Not comparable |
| MathVisionSource | 74.3% | — | Not comparable |
| CharXivSource | 68.5% | — | Not comparable |
| VideoMMMUSource | 84.4% | — | Not comparable |
| ScreenSpot ProSource | 45.7% | — | Not comparable |
| V*Source | 67.0% | — | Not comparable |
| AA-MMMU-ProSource | 71.2% | 69.9% | Claude Opus 4.5 leads |
| Design Arena WebsiteSource | 1277 | — | Not comparable |
Frequently Asked Questions (2)
Which is better, Claude Opus 4.5 or MiMo-V2-Omni?
Claude Opus 4.5 is ahead on BenchLM's BenchAlign leaderboard, 64.22 to 63.15. The biggest single separator in this matchup is SWE-bench Verified, where the scores are 80.9% and 74.8%.
Which is better for coding, Claude Opus 4.5 or MiMo-V2-Omni?
MiMo-V2-Omni has the edge for coding in this comparison, averaging 74.8 versus 71.7. Inside this category, AA-SciCode is the benchmark that creates the most daylight between them.
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