Model comparison
MiMo-V2-Omni vs Qwen3.7 Plus
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: MiMo-V2-Omni #40 (Supported); Qwen3.7 Plus #21 (Supported). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. MiMo-V2-Omni and Qwen3.7 Plus share 14 comparable benchmark results. 1 of 8 categories are comparable. 0 results are unique to MiMo-V2-Omni; 55 to Qwen3.7 Plus.
Updated July 23, 2026- Shared results
- 14
- MiMo-V2-Omni only
- 0
- Qwen3.7 Plus only
- 55
- Comparable categories
- 1 / 8
Pick Qwen3.7 Plus if you want the stronger benchmark profile. MiMo-V2-Omni only becomes the better choice if its workflow or ecosystem matters more than the raw scoreboard.
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
Qwen3.7 Plus is clearly ahead on the BenchAlign aggregate, 67.22 to 63.15. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
Qwen3.7 Plus's sharpest advantage is in coding, where it averages 75.6 against 74.8. The single biggest benchmark swing on the page is SWE-bench Verified, 74.8% to 77.7%.
Qwen3.7 Plus gives you the larger context window at 1M, compared with 262K for MiMo-V2-Omni.
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 | MiMo-V2-Omni | Δ | Qwen3.7 Plus |
|---|---|---|---|
| Coding | MiMo-V2-Omni74.8 | Margin→ 0.8 | Qwen3.7 Plus75.6 |
| Agentic | MiMo-V2-OmniNot measured | MarginNo overlap | Qwen3.7 Plus71.7 |
| Reasoning | MiMo-V2-OmniNot measured | MarginNo overlap | Qwen3.7 Plus91.7 |
| Knowledge | MiMo-V2-OmniNot measured | MarginNo overlap | Qwen3.7 Plus60.1 |
| Math | MiMo-V2-OmniNot measured | MarginNo overlap | Qwen3.7 Plus92.9 |
| Multilingual | MiMo-V2-OmniNot measured | MarginNo overlap | Qwen3.7 Plus85.4 |
| Multimodal | MiMo-V2-OmniNot measured | MarginNo overlap | Qwen3.7 Plus81.5 |
| Inst. Following | MiMo-V2-OmniNot measured | MarginNo overlap | Qwen3.7 Plus84.5 |
Decisive benchmark drivers
The largest measured benchmark gaps in this matchup, with exact reported values.
More
- Source ↗
SWE-bench Verified
CodingA 74.8%B 77.7%Winner: Qwen3.7 PlusΔ 2.9SWE-bench Verified: MiMo-V2-Omni scored 74.8%; Qwen3.7 Plus scored 77.7%. Qwen3.7 Plus wins this benchmark.
Operational comparison
Runtime and commercial metrics are compared only when both models have a complete sourced value.
| Metric | MiMo-V2-Omni | Qwen3.7 Plus | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | MiMo-V2-OmniNot available | Qwen3.7 PlusNot available | A complete price comparison is not available. |
| Generation speedtokens per second | MiMo-V2-OmniNot available | Qwen3.7 PlusNot available | A complete speed comparison is not available. |
| First-answer latencyseconds to first token | MiMo-V2-OmniNot available | Qwen3.7 PlusNot available | A complete latency comparison is not available. |
| Context windowmaximum listed tokens | MiMo-V2-Omni262K | Qwen3.7 Plus1M | Qwen3.7 Plus lists the larger context window. |
Benchmark Deep Dive
Agentic16 benchmarks
| Benchmark | MiMo-V2-Omni | Qwen3.7 Plus | Result |
|---|---|---|---|
| Claw-EvalSource | 45.2% | 62.7% | Qwen3.7 Plus leads |
| τ²-bench resultsSource | 91.2% | 93% | Qwen3.7 Plus leads |
| Terminal-Bench 2.0Source | — | 70.3% | Not comparable |
| QwenClawBenchSource | — | 61.8% | Not comparable |
| QwenWebBenchSource | — | 1536 | Not comparable |
| BFCL v4Source | — | 72.9% | Not comparable |
| MCP AtlasSource | — | 73.2% | Not comparable |
| VITA-BenchSource | — | 45.6% | Not comparable |
| DeepPlanningSource | — | 62.3% | Not comparable |
| OSWorld-VerifiedSource | — | 73.3% | Not comparable |
| AndroidWorldSource | — | 81.0% | Not comparable |
| AA Agentic IndexSource | — | 20.8% | Not comparable |
| APEX-Agents-AASource | — | 22.4% | Not comparable |
| GDPval-AASource | — | 21.8% | Not comparable |
| GDPval-AASource | — | 936 | Not comparable |
| OSWorld 2.0Source | — | 2.8% | Not comparable |
CodingQwen3.7 Plus wins9 benchmarks
| Benchmark | MiMo-V2-Omni | Qwen3.7 Plus | Result |
|---|---|---|---|
| SWE-bench VerifiedSource | 74.8% | 77.7% | Qwen3.7 Plus leads |
| AA-SciCodeSource | 36.7% | 45.5% | Qwen3.7 Plus leads |
| Terminal-Bench 2.0Source | — | 70.3% | Not comparable |
| SWE-bench ProSource | — | 57.6% | Not comparable |
| SWE MultilingualSource | — | 75.8% | Not comparable |
| NL2RepoSource | — | 41.1% | Not comparable |
| SciCodeSource | — | 51.3% | Not comparable |
| LiveCodeBenchSource | — | 89.6% | Not comparable |
| AA Coding IndexSource | — | 55.9% | Not comparable |
Reasoning3 benchmarks
Knowledge13 benchmarks
| Benchmark | MiMo-V2-Omni | Qwen3.7 Plus | Result |
|---|---|---|---|
| Artificial Analysis Intelligence IndexSource | 35.0% | 39.0% | Qwen3.7 Plus leads |
| AA-GPQA DiamondSource | 82.8% | 90.0% | Qwen3.7 Plus leads |
| AA-HLESource | 19.9% | 33.4% | Qwen3.7 Plus leads |
| AA-Omniscience IndexSource | -17.4% | 2.4% | Qwen3.7 Plus leads |
| AA-Omniscience AccuracySource | 18.7% | 22.2% | Qwen3.7 Plus leads |
| AA-Omniscience Hallucination RateSource | 44.4% | 25.5% | Qwen3.7 Plus leads |
| GPQASource | — | 90.3% | Not comparable |
| GPQA-DSource | — | 90.3% | Not comparable |
| HLESource | — | 34.7% | Not comparable |
| MMLU-ProSource | — | 88.5% | Not comparable |
| MMLU-ReduxSource | — | 94.5% | Not comparable |
| SuperGPQASource | — | 71.4% | Not comparable |
| MMMLUSource | — | 89.0% | Not comparable |
Math3 benchmarks
Multilingual5 benchmarks
Multimodal17 benchmarks
| Benchmark | MiMo-V2-Omni | Qwen3.7 Plus | Result |
|---|---|---|---|
| AA-MMMU-ProSource | 69.9% | 80.5% | Qwen3.7 Plus leads |
| MMMU-ProSource | — | 79% | Not comparable |
| MathVisionSource | — | 90.3% | Not comparable |
| CharXivSource | — | 85.9% | Not comparable |
| ERQASource | — | 69.8% | Not comparable |
| MedXpertQA (MM)Source | — | 71.0% | Not comparable |
| ScreenSpot ProSource | — | 79.0% | Not comparable |
| SimpleVQASource | — | 81.7% | Not comparable |
| MMSearch-PlusSource | — | 41.4% | Not comparable |
| RealWorldQASource | — | 86.9% | Not comparable |
| OmniDocBench 1.5Source | — | 91.4% | Not comparable |
| OCRBench V2Source | — | 70.7% | Not comparable |
| ODINW13Source | — | 51.1% | Not comparable |
| Video-MME (with subtitle)Source | — | 88.0% | Not comparable |
| VideoMMMUSource | — | 85.4% | Not comparable |
| MLVU (M-Avg)Source | — | 87.4% | Not comparable |
| Design Arena WebsiteSource | — | 1288 | Not comparable |
Frequently Asked Questions (2)
Which is better, MiMo-V2-Omni or Qwen3.7 Plus?
Qwen3.7 Plus is ahead on BenchLM's BenchAlign leaderboard, 67.22 to 63.15. The biggest single separator in this matchup is SWE-bench Verified, where the scores are 74.8% and 77.7%.
Which is better for coding, MiMo-V2-Omni or Qwen3.7 Plus?
Qwen3.7 Plus has the edge for coding in this comparison, averaging 75.6 versus 74.8. Inside this category, AA-SciCode is the benchmark that creates the most daylight between them.
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