Model comparison
MiMo-V2-Flash vs Qwen3.7 Max
Head-to-head evidence from 18 shared benchmark results across 5 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.
Public leaderboard positions: MiMo-V2-Flash #91 (Supported); Qwen3.7 Max #10 (Supported). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. MiMo-V2-Flash and Qwen3.7 Max share 18 comparable benchmark results. 2 of 8 categories are comparable. 1 result is unique to MiMo-V2-Flash; 40 to Qwen3.7 Max.
Updated July 23, 2026- Shared results
- 18
- MiMo-V2-Flash only
- 1
- Qwen3.7 Max only
- 40
- Comparable categories
- 2 / 8
Pick Qwen3.7 Max if you want the stronger benchmark profile. MiMo-V2-Flash only becomes the better choice if knowledge is the priority.
Confidence note. This is a partial-evidence comparison with 18 shared benchmark results across 5 evidence categories; 2 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 Max is clearly ahead on the BenchAlign aggregate, 72.84 to 54.06. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
Qwen3.7 Max's sharpest advantage is in coding, where it averages 77.9 against 73.4. The single biggest benchmark swing on the page is GPQA, 83.7% to 92.4%. MiMo-V2-Flash does hit back in knowledge, so the answer changes if that is the part of the workload you care about most.
Qwen3.7 Max gives you the larger context window at 1M, compared with 256K for MiMo-V2-Flash.
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-Flash | Δ | Qwen3.7 Max |
|---|---|---|---|
| Knowledge | MiMo-V2-Flash84.7 | Margin← 20.5 | Qwen3.7 Max64.2 |
| Coding | MiMo-V2-Flash73.4 | Margin→ 4.5 | Qwen3.7 Max77.9 |
| Agentic | MiMo-V2-FlashNot measured | MarginNo overlap | Qwen3.7 Max69.7 |
| Reasoning | MiMo-V2-FlashNot measured | MarginNo overlap | Qwen3.7 Max90.4 |
| Math | MiMo-V2-FlashNot measured | MarginNo overlap | Qwen3.7 Max97.1 |
| Multilingual | MiMo-V2-FlashNot measured | MarginNo overlap | Qwen3.7 Max87.0 |
| Inst. Following | MiMo-V2-FlashNot measured | MarginNo overlap | Qwen3.7 Max84.4 |
Decisive benchmark drivers
The largest measured benchmark gaps in this matchup, with exact reported values.
More
- Source ↗
GPQA
KnowledgeA 83.7%B 92.4%Winner: Qwen3.7 MaxΔ 8.7GPQA: MiMo-V2-Flash scored 83.7%; Qwen3.7 Max scored 92.4%. Qwen3.7 Max wins this benchmark. - Source ↗
SWE-bench Verified
CodingA 73.4%B 80.4%Winner: Qwen3.7 MaxΔ 7SWE-bench Verified: MiMo-V2-Flash scored 73.4%; Qwen3.7 Max scored 80.4%. Qwen3.7 Max wins this benchmark. - Source ↗
MMLU-Pro
KnowledgeA 84.9%B 89.6%Winner: Qwen3.7 MaxΔ 4.7MMLU-Pro: MiMo-V2-Flash scored 84.9%; Qwen3.7 Max scored 89.6%. Qwen3.7 Max wins this benchmark.
Operational comparison
Runtime and commercial metrics are compared only when both models have a complete sourced value.
| Metric | MiMo-V2-Flash | Qwen3.7 Max | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | MiMo-V2-Flash$0 input / $0 output | Qwen3.7 MaxNot available | A complete price comparison is not available. |
| Generation speedtokens per second | MiMo-V2-Flash129 tok/s | Qwen3.7 MaxNot available | A complete speed comparison is not available. |
| First-answer latencyseconds to first token | MiMo-V2-Flash2.14 s | Qwen3.7 MaxNot available | A complete latency comparison is not available. |
| Context windowmaximum listed tokens | MiMo-V2-Flash256K | Qwen3.7 Max1M | Qwen3.7 Max lists the larger context window. |
Benchmark Deep Dive
Agentic21 benchmarks
| Benchmark | MiMo-V2-Flash | Qwen3.7 Max | Result |
|---|---|---|---|
| AA Agentic IndexSource | 12.0% | 30.6% | Qwen3.7 Max leads |
| τ²-bench resultsSource | 83.9% | 94.7% | Qwen3.7 Max leads |
| GDPval-AASource | 16.7% | 38.7% | Qwen3.7 Max leads |
| GDPval-AASource | 833 | 1273 | Qwen3.7 Max leads |
| Terminal-Bench 2.0Source | — | 69.7% | Not comparable |
| QwenClawBenchSource | — | 64.3% | Not comparable |
| QwenWebBenchSource | — | 1568 | Not comparable |
| Claw-EvalSource | — | 65.2% | Not comparable |
| BFCL v4Source | — | 75.0% | Not comparable |
| MCP AtlasSource | — | 76.4% | Not comparable |
| VITA-BenchSource | — | 47.9% | Not comparable |
| HLE w/ toolsSource | — | 53.5% | Not comparable |
| Gert LabsSource | — | 64.27% | Not comparable |
| ResearchClawBenchSource | — | 18.7% | Not comparable |
| AA BriefcaseSource | — | 908 | Not comparable |
| AA AutomationBenchSource | — | 25.6% | Not comparable |
| AA EnterpriseOps-GymSource | — | 45.0% | Not comparable |
| AA ITBenchSource | — | 42.5% | Not comparable |
| terminalBenchHardSource | — | 50.8% | Not comparable |
| aaTerminalBench21Source | — | 74.5% | Not comparable |
| AA Harvey LABSource | — | 83.4% | Not comparable |
CodingQwen3.7 Max wins9 benchmarks
| Benchmark | MiMo-V2-Flash | Qwen3.7 Max | Result |
|---|---|---|---|
| SWE-bench VerifiedSource | 73.4% | 80.4% | Qwen3.7 Max leads |
| AA Coding IndexSource | 49.8% | 66.0% | Qwen3.7 Max leads |
| AA-SciCodeSource | 25.9% | 48.8% | Qwen3.7 Max leads |
| SWE-bench ProSource | — | 60.6% | Not comparable |
| SWE MultilingualSource | — | 78.3% | Not comparable |
| NL2RepoSource | — | 47.2% | Not comparable |
| SciCodeSource | — | 53.5% | Not comparable |
| LiveCodeBenchSource | — | 91.6% | Not comparable |
| Terminal-Bench 2.0Source | — | 69.7% | Not comparable |
Reasoning3 benchmarks
KnowledgeMiMo-V2-Flash wins13 benchmarks
| Benchmark | MiMo-V2-Flash | Qwen3.7 Max | Result |
|---|---|---|---|
| GPQASource | 83.7% | 92.4% | Qwen3.7 Max leads |
| MMLU-ProSource | 84.9% | 89.6% | Qwen3.7 Max leads |
| Artificial Analysis Intelligence IndexSource | 24.7% | 46.0% | Qwen3.7 Max leads |
| AA-GPQA DiamondSource | 65.6% | 92.3% | Qwen3.7 Max leads |
| AA-HLESource | 8.0% | 38.1% | Qwen3.7 Max leads |
| AA-Omniscience IndexSource | -48.5% | 14.1% | Qwen3.7 Max leads |
| AA-Omniscience AccuracySource | 15.2% | 30.1% | Qwen3.7 Max leads |
| AA-Omniscience Hallucination RateSource | 75.1% | 22.9% | Qwen3.7 Max leads |
| GPQA-DSource | — | 92.4% | Not comparable |
| HLESource | — | 41.4% | Not comparable |
| MMLU-ReduxSource | — | 95% | Not comparable |
| SuperGPQASource | — | 73.6% | Not comparable |
| MMMLUSource | — | 90.3% | Not comparable |
Math4 benchmarks
Multilingual5 benchmarks
Multimodal1 benchmarks
| Benchmark | MiMo-V2-Flash | Qwen3.7 Max | Result |
|---|---|---|---|
| Design Arena WebsiteSource | — | 1293 | Not comparable |
Frequently Asked Questions (3)
Which is better, MiMo-V2-Flash or Qwen3.7 Max?
Qwen3.7 Max is ahead on BenchLM's BenchAlign leaderboard, 72.84 to 54.06. The biggest single separator in this matchup is GPQA, where the scores are 83.7% and 92.4%.
Which is better for knowledge tasks, MiMo-V2-Flash or Qwen3.7 Max?
MiMo-V2-Flash has the edge for knowledge tasks in this comparison, averaging 84.7 versus 64.2. Inside this category, AA-Omniscience Index is the benchmark that creates the most daylight between them.
Which is better for coding, MiMo-V2-Flash or Qwen3.7 Max?
Qwen3.7 Max has the edge for coding in this comparison, averaging 77.9 versus 73.4. Inside this category, AA-SciCode is the benchmark that creates the most daylight between them.
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