Model comparison
GPT-5.6 Sol vs MiMo-V2.5
Head-to-head evidence from 4 shared benchmark results across 3 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.
Public leaderboard positions: GPT-5.6 Sol #3 (Supported); MiMo-V2.5 #62 (Estimated). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. GPT-5.6 Sol and MiMo-V2.5 share 4 comparable benchmark results. 3 of 8 categories are comparable. 42 results are unique to GPT-5.6 Sol; 7 to MiMo-V2.5.
Updated July 23, 2026- Shared results
- 4
- GPT-5.6 Sol only
- 42
- MiMo-V2.5 only
- 7
- Comparable categories
- 3 / 8
Pick GPT-5.6 Sol if you want the stronger benchmark profile. MiMo-V2.5 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 4 shared benchmark results across 3 evidence categories; 3 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 58.62. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
GPT-5.6 Sol's sharpest advantage is in agentic, where it averages 92 against 65.8. The single biggest benchmark swing on the page is Terminal-Bench 2.0, 91.9% to 65.8%.
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-V2.5 |
|---|---|---|---|
| Agentic | GPT-5.6 Sol92.0 | Margin← 26.2 | MiMo-V2.565.8 |
| Coding | GPT-5.6 Sol64.6 | Margin← 8.5 | MiMo-V2.556.1 |
| Multimodal | GPT-5.6 Sol83.0 | Margin← 4.0 | MiMo-V2.579.0 |
| Knowledge | GPT-5.6 Sol94.6 | MarginNo overlap | MiMo-V2.5Not measured |
| Math | GPT-5.6 Sol87.5 | MarginNo overlap | MiMo-V2.5Not measured |
Decisive benchmark drivers
The largest measured benchmark gaps in this matchup, with exact reported values.
More
- Source ↗
Terminal-Bench 2.0
AgenticA 91.9%B 65.8%Winner: GPT-5.6 SolΔ 26.1Terminal-Bench 2.0: GPT-5.6 Sol scored 91.9%; MiMo-V2.5 scored 65.8%. GPT-5.6 Sol wins this benchmark. - Source ↗
SWE-bench Pro
CodingA 64.6%B 56.1%Winner: GPT-5.6 SolΔ 8.5SWE-bench Pro: GPT-5.6 Sol scored 64.6%; MiMo-V2.5 scored 56.1%. GPT-5.6 Sol wins this benchmark. - Source ↗
MMMU-Pro
MultimodalA 83%B 77.9%Winner: GPT-5.6 SolΔ 5.1MMMU-Pro: GPT-5.6 Sol scored 83%; MiMo-V2.5 scored 77.9%. GPT-5.6 Sol wins this benchmark.
Operational comparison
Runtime and commercial metrics are compared only when both models have a complete sourced value.
| Metric | GPT-5.6 Sol | MiMo-V2.5 | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | GPT-5.6 Sol$5 input / $30 output | MiMo-V2.5Not available | A complete price comparison is not available. |
| Generation speedtokens per second | GPT-5.6 SolNot available | MiMo-V2.5Not available | A complete speed comparison is not available. |
| First-answer latencyseconds to first token | GPT-5.6 SolNot available | MiMo-V2.5Not available | A complete latency comparison is not available. |
| Context windowmaximum listed tokens | GPT-5.6 Sol1M | MiMo-V2.51M | Listed context windows are equal. |
Benchmark Deep Dive
AgenticGPT-5.6 Sol wins21 benchmarks
| Benchmark | GPT-5.6 Sol | MiMo-V2.5 | Result |
|---|---|---|---|
| Terminal-Bench 2.0Source | 91.9% | 65.8% | GPT-5.6 Sol leads |
| 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% | — | Not comparable |
| 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 | — | 62.3% | Not comparable |
| MM-ClawBenchSource | — | 23.8% | Not comparable |
| Gert LabsSource | — | 46.89% | Not comparable |
| ResearchClawBenchSource | — | 16.9% | Not comparable |
CodingGPT-5.6 Sol wins8 benchmarks
| Benchmark | GPT-5.6 Sol | MiMo-V2.5 | Result |
|---|---|---|---|
| SWE-bench ProSource | 64.6% | 56.1% | GPT-5.6 Sol leads |
| Terminal-Bench 2.0Source | 91.9% | 65.8% | GPT-5.6 Sol leads |
| 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% | — | Not comparable |
Reasoning4 benchmarks
Knowledge10 benchmarks
| Benchmark | GPT-5.6 Sol | MiMo-V2.5 | 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% | — | Not comparable |
| AA-GPQA DiamondSource | 94.1% | — | Not comparable |
| AA-HLESource | 47.2% | — | Not comparable |
| AA-Omniscience IndexSource | 21.7% | — | Not comparable |
| AA-Omniscience AccuracySource | 58.5% | — | Not comparable |
| AA-Omniscience Hallucination RateSource | 88.8% | — | Not comparable |
Math3 benchmarks
MultimodalGPT-5.6 Sol wins6 benchmarks
Inst. Following1 benchmarks
| Benchmark | GPT-5.6 Sol | MiMo-V2.5 | Result |
|---|---|---|---|
| AA-IFBenchSource | 72.7% | — | Not comparable |
Frequently Asked Questions (4)
Which is better, GPT-5.6 Sol or MiMo-V2.5?
GPT-5.6 Sol is ahead on BenchLM's BenchAlign leaderboard, 81.96 to 58.62. The biggest single separator in this matchup is Terminal-Bench 2.0, where the scores are 91.9% and 65.8%.
Which is better for coding, GPT-5.6 Sol or MiMo-V2.5?
GPT-5.6 Sol has the edge for coding in this comparison, averaging 64.6 versus 56.1. Inside this category, Terminal-Bench 2.0 is the benchmark that creates the most daylight between them.
Which is better for agentic tasks, GPT-5.6 Sol or MiMo-V2.5?
GPT-5.6 Sol has the edge for agentic tasks in this comparison, averaging 92 versus 65.8. Inside this category, Terminal-Bench 2.0 is the benchmark that creates the most daylight between them.
Which is better for multimodal and grounded tasks, GPT-5.6 Sol or MiMo-V2.5?
GPT-5.6 Sol has the edge for multimodal and grounded tasks in this comparison, averaging 83 versus 79. Inside this category, MMMU-Pro is the benchmark that creates the most daylight between them.
Related Comparisons
Explore More
Choose a model with this week’s evidence
Join 2,000+ readers for ranking moves, pricing changes, and the claims that still need proof.
One email each week. Unsubscribe anytime.