Model comparison
GPT-5.6 Sol vs MiniCPM5-1B
Head-to-head evidence from 1 shared benchmark result across 1 category. Overall scores shown here use the public BenchAlign v5 ranking lane.
Public leaderboard positions: GPT-5.6 Sol #3 (Supported); MiniCPM5-1B unranked (Not scored). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. GPT-5.6 Sol and MiniCPM5-1B share 1 comparable benchmark result. 2 of 8 categories are comparable. 45 results are unique to GPT-5.6 Sol; 13 to MiniCPM5-1B.
Updated July 23, 2026- Shared results
- 1
- GPT-5.6 Sol only
- 45
- MiniCPM5-1B only
- 13
- Comparable categories
- 2 / 8
Treat this as a split decision. GPT-5.6 Sol makes more sense if mathematics is the priority or you need the larger 1M context window; MiniCPM5-1B is the better fit if its strengths line up with your actual workload.
Confidence note. This is a partial-evidence comparison with 1 shared benchmark result across 1 evidence category; 2 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 and MiniCPM5-1B finish on the same BenchAlign overall score, so this is less about a single winner and more about where the edge shows up. The BenchAlign headline says tie; the benchmark table is where the real choice happens.
GPT-5.6 Sol gives you the larger context window at 1M, compared with 131K for MiniCPM5-1B.
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 | MiniCPM5-1B |
|---|---|---|---|
| Math | GPT-5.6 Sol87.5 | Margin← 54.4 | MiniCPM5-1B33.1 |
| Knowledge | GPT-5.6 Sol94.6 | Margin← 50.6 | MiniCPM5-1B44.0 |
| Agentic | GPT-5.6 Sol92.0 | MarginNo overlap | MiniCPM5-1BNot measured |
| Coding | GPT-5.6 Sol64.6 | MarginNo overlap | MiniCPM5-1BNot measured |
| Multimodal | GPT-5.6 Sol83.0 | MarginNo overlap | MiniCPM5-1BNot measured |
| Inst. Following | GPT-5.6 SolNot measured | MarginNo overlap | MiniCPM5-1B58.5 |
Operational comparison
Runtime and commercial metrics are compared only when both models have a complete sourced value.
| Metric | GPT-5.6 Sol | MiniCPM5-1B | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | GPT-5.6 Sol$5 input / $30 output | MiniCPM5-1BNot available | A complete price comparison is not available. |
| Generation speedtokens per second | GPT-5.6 SolNot available | MiniCPM5-1BNot available | A complete speed comparison is not available. |
| First-answer latencyseconds to first token | GPT-5.6 SolNot available | MiniCPM5-1BNot available | A complete latency comparison is not available. |
| Context windowmaximum listed tokens | GPT-5.6 Sol1M | MiniCPM5-1B131K | GPT-5.6 Sol lists the larger context window. |
Benchmark Deep Dive
Agentic18 benchmarks
| Benchmark | GPT-5.6 Sol | MiniCPM5-1B | 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% | — | 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 |
| BFCL v4Source | — | 25.1% | Not comparable |
Coding10 benchmarks
| Benchmark | GPT-5.6 Sol | MiniCPM5-1B | 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% | — | Not comparable |
| LiveCodeBench ProSource | — | 22.7% | Not comparable |
| LiveCodeBench v6Source | — | 33.5% | Not comparable |
Reasoning5 benchmarks
KnowledgeGPT-5.6 Sol wins13 benchmarks
| Benchmark | GPT-5.6 Sol | MiniCPM5-1B | Result |
|---|---|---|---|
| GPQASource | 94.6% | — | Not comparable |
| GPQA-DSource | 94.6% | 26.3% | GPT-5.6 Sol leads |
| 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 |
| MMLU-ProSource | — | 48.9% | Not comparable |
| MMLU-ReduxSource | — | 70.1% | Not comparable |
| SuperGPQASource | — | 23.1% | Not comparable |
MathGPT-5.6 Sol wins7 benchmarks
| Benchmark | GPT-5.6 Sol | MiniCPM5-1B | Result |
|---|---|---|---|
| FrontierMath (legacy)Source | 89% | — | Not comparable |
| FrontierMath v2 (Tiers 1-3)Source | 89.000% | — | Not comparable |
| FrontierMath v2 (Tier 4)Source | 83.000% | — | Not comparable |
| AIME 2025Source | — | 40.4% | Not comparable |
| AIME26Source | — | 40.4% | Not comparable |
| HMMT Feb 2026Source | — | 25.8% | Not comparable |
| MATH-500Source | — | 91.6% | Not comparable |
Multimodal3 benchmarks
Frequently Asked Questions (3)
Which is better, GPT-5.6 Sol or MiniCPM5-1B?
GPT-5.6 Sol and MiniCPM5-1B are tied on the BenchAlign overall score, so the right pick depends on which category matters most for your use case.
Which is better for knowledge tasks, GPT-5.6 Sol or MiniCPM5-1B?
GPT-5.6 Sol has the edge for knowledge tasks in this comparison, averaging 94.6 versus 44. Inside this category, GPQA-D is the benchmark that creates the most daylight between them.
Which is better for math, GPT-5.6 Sol or MiniCPM5-1B?
GPT-5.6 Sol has the edge for math in this comparison, averaging 87.5 versus 33.1. MiniCPM5-1B stays close enough that the answer can still flip depending on your workload.
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