Model comparison
GPT-5.6 Sol vs MiMo-V2-Pro
Head-to-head evidence from 11 shared benchmark results across 5 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.
Public leaderboard positions: GPT-5.6 Sol #3 (Supported); MiMo-V2-Pro #17 (Supported). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. GPT-5.6 Sol and MiMo-V2-Pro share 11 comparable benchmark results. 1 of 8 categories are comparable. 35 results are unique to GPT-5.6 Sol; 4 to MiMo-V2-Pro.
Updated July 23, 2026- Shared results
- 11
- GPT-5.6 Sol only
- 35
- MiMo-V2-Pro only
- 4
- Comparable categories
- 1 / 8
Pick GPT-5.6 Sol if you want the stronger benchmark profile. MiMo-V2-Pro only becomes the better choice if coding is the priority.
Confidence note. This is a partial-evidence comparison with 11 shared benchmark results across 5 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
GPT-5.6 Sol is clearly ahead on the BenchAlign aggregate, 81.96 to 67.78. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
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 | GPT-5.6 Sol | Δ | MiMo-V2-Pro |
|---|---|---|---|
| Coding | GPT-5.6 Sol64.6 | Margin→ 13.4 | MiMo-V2-Pro78.0 |
| Agentic | GPT-5.6 Sol92.0 | MarginNo overlap | MiMo-V2-ProNot measured |
| Knowledge | GPT-5.6 Sol94.6 | MarginNo overlap | MiMo-V2-ProNot measured |
| Math | GPT-5.6 Sol87.5 | MarginNo overlap | MiMo-V2-ProNot measured |
| Multimodal | GPT-5.6 Sol83.0 | MarginNo overlap | MiMo-V2-ProNot measured |
Operational comparison
Runtime and commercial metrics are compared only when both models have a complete sourced value.
| Metric | GPT-5.6 Sol | MiMo-V2-Pro | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | GPT-5.6 Sol$5 input / $30 output | MiMo-V2-ProNot available | A complete price comparison is not available. |
| Generation speedtokens per second | GPT-5.6 SolNot available | MiMo-V2-ProNot available | A complete speed comparison is not available. |
| First-answer latencyseconds to first token | GPT-5.6 SolNot available | MiMo-V2-ProNot available | A complete latency comparison is not available. |
| Context windowmaximum listed tokens | GPT-5.6 Sol1M | MiMo-V2-Pro1M | Listed context windows are equal. |
Benchmark Deep Dive
Agentic20 benchmarks
| Benchmark | GPT-5.6 Sol | MiMo-V2-Pro | Result |
|---|---|---|---|
| Terminal-Bench 2.0Source | 91.9% | — | Not comparable |
| BrowseCompSource | 92.2% | — | Not comparable |
| OSWorld 2.0Source | 62.6% | — | Not comparable |
| CyberGymSource | 84.5% | — | Not comparable |
| ExploitGymSource | 33.7% | — | Not comparable |
| ToolathlonSource | 58% | — | Not comparable |
| AA Agentic IndexSource | 54.0% | — | Not comparable |
| τ²-bench resultsSource | 85.1% | 95% | MiMo-V2-Pro leads |
| GDPval-AASource | 61.8% | — | Not comparable |
| GDPval-AASource | 1736 | — | Not comparable |
| AA BriefcaseSource | 1501 | — | Not comparable |
| AA ITBenchSource | 56.2% | — | Not comparable |
| AA Tau3 BankingSource | 33.0% | — | Not comparable |
| AA AutomationBenchSource | 51.2% | — | Not comparable |
| AA Harvey LABSource | 87.2% | — | Not comparable |
| terminalBenchHardSource | 65.9% | — | Not comparable |
| aaTerminalBench21Source | 88% | — | Not comparable |
| Claw-EvalSource | — | 57.8% | Not comparable |
| Gert LabsSource | — | 36.68% | Not comparable |
| ResearchClawBenchSource | — | 15.3% | Not comparable |
CodingMiMo-V2-Pro wins9 benchmarks
| Benchmark | GPT-5.6 Sol | MiMo-V2-Pro | Result |
|---|---|---|---|
| SWE-bench ProSource | 64.6% | — | Not comparable |
| Terminal-Bench 2.0Source | 91.9% | — | Not comparable |
| deepSweSource | 72.7% | — | Not comparable |
| FrontierCode 1.1 ExtendedSource | 60.6% | — | Not comparable |
| cursorBench32Source | 67.2% | — | Not comparable |
| VulcanBench v3Source | 87.0% | — | Not comparable |
| AA Coding IndexSource | 77.4% | — | Not comparable |
| AA-SciCodeSource | 56.1% | 42.5% | GPT-5.6 Sol leads |
| SWE-bench VerifiedSource | — | 78% | Not comparable |
Reasoning4 benchmarks
Knowledge10 benchmarks
| Benchmark | GPT-5.6 Sol | MiMo-V2-Pro | Result |
|---|---|---|---|
| GPQASource | 94.6% | — | Not comparable |
| GPQA-DSource | 94.6% | — | Not comparable |
| HealthBench ProfessionalSource | 60.5% | — | Not comparable |
| HealthBench HardSource | 33.1% | — | Not comparable |
| Artificial Analysis Intelligence IndexSource | 58.9% | 40.3% | GPT-5.6 Sol leads |
| AA-GPQA DiamondSource | 94.1% | 87.0% | GPT-5.6 Sol leads |
| AA-HLESource | 47.2% | 28.3% | GPT-5.6 Sol leads |
| AA-Omniscience IndexSource | 21.7% | 4.9% | GPT-5.6 Sol leads |
| AA-Omniscience AccuracySource | 58.5% | 26.8% | GPT-5.6 Sol leads |
| AA-Omniscience Hallucination RateSource | 88.8% | 29.9% | MiMo-V2-Pro leads |
Math3 benchmarks
Multimodal3 benchmarks
Inst. Following1 benchmarks
| Benchmark | GPT-5.6 Sol | MiMo-V2-Pro | Result |
|---|---|---|---|
| AA-IFBenchSource | 72.7% | 68.8% | GPT-5.6 Sol leads |
Frequently Asked Questions (2)
Which is better, GPT-5.6 Sol or MiMo-V2-Pro?
GPT-5.6 Sol is ahead on BenchLM's BenchAlign leaderboard, 81.96 to 67.78.
Which is better for coding, GPT-5.6 Sol or MiMo-V2-Pro?
MiMo-V2-Pro has the edge for coding in this comparison, averaging 78 versus 64.6. Inside this category, AA-SciCode is the benchmark that creates the most daylight between them.
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