Model comparison
GPT-5.6 Sol vs Mistral Small 4 (Reasoning)
Head-to-head evidence from 16 shared benchmark results across 6 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.
Public leaderboard positions: GPT-5.6 Sol #3 (Supported); Mistral Small 4 (Reasoning) unranked (Not scored). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. GPT-5.6 Sol and Mistral Small 4 (Reasoning) share 16 comparable benchmark results. 0 of 8 categories are comparable. 30 results are unique to GPT-5.6 Sol; 0 to Mistral Small 4 (Reasoning).
Updated July 23, 2026- Shared results
- 16
- GPT-5.6 Sol only
- 30
- Mistral Small 4 (Reasoning) only
- 0
- Comparable categories
- 0 / 8
Benchmark data for GPT-5.6 Sol and Mistral Small 4 (Reasoning) is coming soon on BenchLM.
Confidence note. This is a partial-evidence comparison with 16 shared benchmark results across 6 evidence categories; 0 of 8 categories currently have scoreable aggregates for both models. Treat the verdict as directional until coverage is more balanced.
Why this result
BenchLM has partial data for these models, but not enough overlapping benchmark coverage to produce a fair score-level comparison yet.
GPT-5.6 Sol is priced at $5.00 input / $30.00 output per 1M tokens, versus $0.15 input / $0.60 output per 1M tokens for Mistral Small 4 (Reasoning). GPT-5.6 Sol has the larger context window at 1M, compared with 256K for Mistral Small 4 (Reasoning).
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 | Mistral Small 4 (Reasoning) |
|---|---|---|---|
| Agentic | GPT-5.6 Sol92.0 | MarginNo overlap | Mistral Small 4 (Reasoning)Not measured |
| Coding | GPT-5.6 Sol64.6 | MarginNo overlap | Mistral Small 4 (Reasoning)Not measured |
| Knowledge | GPT-5.6 Sol94.6 | MarginNo overlap | Mistral Small 4 (Reasoning)Not measured |
| Math | GPT-5.6 Sol87.5 | MarginNo overlap | Mistral Small 4 (Reasoning)Not measured |
| Multimodal | GPT-5.6 Sol83.0 | MarginNo overlap | Mistral Small 4 (Reasoning)Not measured |
Operational comparison
Runtime and commercial metrics are compared only when both models have a complete sourced value.
| Metric | GPT-5.6 Sol | Mistral Small 4 (Reasoning) | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | GPT-5.6 Sol$5 input / $30 output | Mistral Small 4 (Reasoning)$0.15 input / $0.6 output | Mistral Small 4 (Reasoning) has the lower combined listed price. |
| Generation speedtokens per second | GPT-5.6 SolNot available | Mistral Small 4 (Reasoning)Not available | A complete speed comparison is not available. |
| First-answer latencyseconds to first token | GPT-5.6 SolNot available | Mistral Small 4 (Reasoning)Not available | A complete latency comparison is not available. |
| Context windowmaximum listed tokens | GPT-5.6 Sol1M | Mistral Small 4 (Reasoning)256K | GPT-5.6 Sol lists the larger context window. |
Benchmark Deep Dive
Agentic17 benchmarks
| Benchmark | GPT-5.6 Sol | Mistral Small 4 (Reasoning) | 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% | 4.7% | GPT-5.6 Sol leads |
| τ²-bench resultsSource | 85.1% | 41.2% | GPT-5.6 Sol leads |
| GDPval-AASource | 61.8% | 4.4% | GPT-5.6 Sol leads |
| GDPval-AASource | 1736 | 588 | GPT-5.6 Sol leads |
| 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 |
Coding8 benchmarks
| Benchmark | GPT-5.6 Sol | Mistral Small 4 (Reasoning) | 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% | 26.6% | GPT-5.6 Sol leads |
| AA-SciCodeSource | 56.1% | 38.0% | GPT-5.6 Sol leads |
Reasoning4 benchmarks
Knowledge10 benchmarks
| Benchmark | GPT-5.6 Sol | Mistral Small 4 (Reasoning) | 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% | 19.6% | GPT-5.6 Sol leads |
| AA-GPQA DiamondSource | 94.1% | 76.9% | GPT-5.6 Sol leads |
| AA-HLESource | 47.2% | 9.5% | GPT-5.6 Sol leads |
| AA-Omniscience IndexSource | 21.7% | -29.9% | GPT-5.6 Sol leads |
| AA-Omniscience AccuracySource | 58.5% | 22.1% | GPT-5.6 Sol leads |
| AA-Omniscience Hallucination RateSource | 88.8% | 66.8% | Mistral Small 4 (Reasoning) leads |
Math3 benchmarks
Multimodal3 benchmarks
Inst. Following1 benchmarks
| Benchmark | GPT-5.6 Sol | Mistral Small 4 (Reasoning) | Result |
|---|---|---|---|
| AA-IFBenchSource | 72.7% | 48.2% | GPT-5.6 Sol leads |
Frequently Asked Questions (3)
Can I compare GPT-5.6 Sol and Mistral Small 4 (Reasoning) on BenchLM yet?
Not fully yet. BenchLM is tracking both models, but the sourced benchmark breakdown for this comparison is still coming soon.
Why does this comparison show “coming soon”?
BenchLM only shows category winners and benchmark-level calls when we have sourced results that can be compared fairly. For these models, the public benchmark coverage is not complete enough yet.
What data is available for GPT-5.6 Sol and Mistral Small 4 (Reasoning) today?
GPT-5.6 Sol: $5.00 input / $30.00 output per 1M tokens Mistral Small 4 (Reasoning): $0.15 input / $0.60 output per 1M tokens Both model pages still include creator, context window, reasoning mode, and other metadata while benchmark coverage fills in.
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