Model comparison
DeepSeek V4 Pro (Max) vs GPT-5.6 Sol
Head-to-head evidence from 28 shared benchmark results across 5 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.
Public leaderboard positions: DeepSeek V4 Pro (Max) unranked (Not scored); GPT-5.6 Sol #3 (Supported). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. DeepSeek V4 Pro (Max) and GPT-5.6 Sol share 28 comparable benchmark results. 4 of 8 categories are comparable. 20 results are unique to DeepSeek V4 Pro (Max); 18 to GPT-5.6 Sol.
Updated July 23, 2026- Shared results
- 28
- DeepSeek V4 Pro (Max) only
- 20
- GPT-5.6 Sol only
- 18
- Comparable categories
- 4 / 8
Treat this as a split decision. DeepSeek V4 Pro (Max) makes more sense if mathematics is the priority or you want the cheaper token bill; GPT-5.6 Sol is the better fit if knowledge is the priority.
Confidence note. This is a partial-evidence comparison with 28 shared benchmark results across 5 evidence categories; 4 of 8 categories currently have scoreable aggregates for both models. Treat the verdict as directional until coverage is more balanced.
Why this result
DeepSeek V4 Pro (Max) and GPT-5.6 Sol 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 is also the more expensive model on tokens at $5.00 input / $30.00 output per 1M tokens, versus $0.43 input / $0.87 output per 1M tokens for DeepSeek V4 Pro (Max). That is roughly 34.5x on output cost alone.
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 | DeepSeek V4 Pro (Max) | Δ | GPT-5.6 Sol |
|---|---|---|---|
| Knowledge | DeepSeek V4 Pro (Max)60.1 | Margin→ 34.5 | GPT-5.6 Sol94.6 |
| Agentic | DeepSeek V4 Pro (Max)74.5 | Margin→ 17.5 | GPT-5.6 Sol92.0 |
| Math | DeepSeek V4 Pro (Max)95.2 | Margin← 7.7 | GPT-5.6 Sol87.5 |
| Coding | DeepSeek V4 Pro (Max)70.9 | Margin← 6.3 | GPT-5.6 Sol64.6 |
| Multimodal | DeepSeek V4 Pro (Max)Not measured | MarginNo overlap | GPT-5.6 Sol83.0 |
Decisive benchmark drivers
The largest measured benchmark gaps in this matchup, with exact reported values.
More
- Source ↗
Terminal-Bench 2.0
AgenticA 67.9%B 91.9%Winner: GPT-5.6 SolΔ 24Terminal-Bench 2.0: DeepSeek V4 Pro (Max) scored 67.9%; GPT-5.6 Sol scored 91.9%. GPT-5.6 Sol wins this benchmark. - Source ↗
SWE-bench Pro
CodingA 55.4%B 64.6%Winner: GPT-5.6 SolΔ 9.2SWE-bench Pro: DeepSeek V4 Pro (Max) scored 55.4%; GPT-5.6 Sol scored 64.6%. GPT-5.6 Sol wins this benchmark. - Source ↗
BrowseComp
AgenticA 83.4%B 92.2%Winner: GPT-5.6 SolΔ 8.8BrowseComp: DeepSeek V4 Pro (Max) scored 83.4%; GPT-5.6 Sol scored 92.2%. GPT-5.6 Sol wins this benchmark. - Source ↗
GPQA
KnowledgeA 90.1%B 94.6%Winner: GPT-5.6 SolΔ 4.5GPQA: DeepSeek V4 Pro (Max) scored 90.1%; GPT-5.6 Sol scored 94.6%. 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 | DeepSeek V4 Pro (Max) | GPT-5.6 Sol | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | DeepSeek V4 Pro (Max)$0.435 input / $0.87 output | GPT-5.6 Sol$5 input / $30 output | DeepSeek V4 Pro (Max) has the lower combined listed price. |
| Generation speedtokens per second | DeepSeek V4 Pro (Max)Not available | GPT-5.6 SolNot available | A complete speed comparison is not available. |
| First-answer latencyseconds to first token | DeepSeek V4 Pro (Max)Not available | GPT-5.6 SolNot available | A complete latency comparison is not available. |
| Context windowmaximum listed tokens | DeepSeek V4 Pro (Max)1M | GPT-5.6 Sol1M | Listed context windows are equal. |
Benchmark Deep Dive
AgenticGPT-5.6 Sol wins21 benchmarks
| Benchmark | DeepSeek V4 Pro (Max) | GPT-5.6 Sol | Result |
|---|---|---|---|
| Terminal-Bench 2.0Source | 67.9% | 91.9% | GPT-5.6 Sol leads |
| BrowseCompSource | 83.4% | 92.2% | GPT-5.6 Sol leads |
| HLE w/ toolsSource | 48.2% | — | Not comparable |
| MCP AtlasSource | 73.6% | — | Not comparable |
| GDPval-AASource | 1307 | 1736 | GPT-5.6 Sol leads |
| ToolathlonSource | 51.8% | 58% | GPT-5.6 Sol leads |
| AA Agentic IndexSource | 36.4% | 54.0% | GPT-5.6 Sol leads |
| APEX-Agents-AASource | 24.3% | — | Not comparable |
| τ²-bench resultsSource | 96.2% | 85.1% | DeepSeek V4 Pro (Max) leads |
| GDPval-AASource | 40.4% | 61.8% | GPT-5.6 Sol leads |
| AA BriefcaseSource | 932 | 1501 | GPT-5.6 Sol leads |
| AA EnterpriseOps-GymSource | 40.4% | — | Not comparable |
| AA Harvey LABSource | 84.4% | 87.2% | GPT-5.6 Sol leads |
| AA ITBenchSource | 38.3% | 56.2% | GPT-5.6 Sol leads |
| AA Tau3 BankingSource | 25.8% | 33.0% | GPT-5.6 Sol leads |
| terminalBenchHardSource | 46.2% | 65.9% | GPT-5.6 Sol leads |
| aaTerminalBench21Source | 64% | 88% | GPT-5.6 Sol leads |
| OSWorld 2.0Source | — | 62.6% | Not comparable |
| CyberGymSource | — | 84.5% | Not comparable |
| ExploitGymSource | — | 33.7% | Not comparable |
| AA AutomationBenchSource | — | 51.2% | Not comparable |
CodingDeepSeek V4 Pro (Max) wins12 benchmarks
| Benchmark | DeepSeek V4 Pro (Max) | GPT-5.6 Sol | Result |
|---|---|---|---|
| CodeforcesSource | 3206.0 | — | Not comparable |
| SWE-bench VerifiedSource | 80.6% | — | Not comparable |
| SWE-bench ProSource | 55.4% | 64.6% | GPT-5.6 Sol leads |
| SWE MultilingualSource | 76.2% | — | Not comparable |
| Terminal-Bench 2.0Source | 67.9% | 91.9% | GPT-5.6 Sol leads |
| Vibe Code BenchSource | 49.93% | — | Not comparable |
| AA Coding IndexSource | 59.4% | 77.4% | GPT-5.6 Sol leads |
| AA-SciCodeSource | 50.0% | 56.1% | 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 |
Reasoning6 benchmarks
KnowledgeGPT-5.6 Sol wins15 benchmarks
| Benchmark | DeepSeek V4 Pro (Max) | GPT-5.6 Sol | Result |
|---|---|---|---|
| MMLU-ProSource | 87.5% | — | Not comparable |
| SimpleQASource | 57.9% | — | Not comparable |
| Chinese-SimpleQASource | 84.4% | — | Not comparable |
| GPQASource | 90.1% | 94.6% | GPT-5.6 Sol leads |
| GPQA-DSource | 90.1% | 94.6% | GPT-5.6 Sol leads |
| HLESource | 37.7% | — | Not comparable |
| Artificial Analysis Intelligence IndexSource | 44.3% | 58.9% | GPT-5.6 Sol leads |
| AA-GPQA DiamondSource | 88.8% | 94.1% | GPT-5.6 Sol leads |
| AA-HLESource | 35.9% | 47.2% | GPT-5.6 Sol leads |
| AA-Omniscience IndexSource | -10.0% | 21.7% | GPT-5.6 Sol leads |
| AA-Omniscience AccuracySource | 43.3% | 58.5% | GPT-5.6 Sol leads |
| AA-Omniscience Hallucination RateSource | 94.0% | 88.8% | GPT-5.6 Sol leads |
| AA Openness IndexSource | 50.0% | — | Not comparable |
| HealthBench ProfessionalSource | — | 60.5% | Not comparable |
| HealthBench HardSource | — | 33.1% | Not comparable |
MathDeepSeek V4 Pro (Max) wins7 benchmarks
| Benchmark | DeepSeek V4 Pro (Max) | GPT-5.6 Sol | Result |
|---|---|---|---|
| HMMT Feb 2026Source | 95.2% | — | Not comparable |
| IMOAnswerBenchSource | 89.8% | — | Not comparable |
| ApexSource | 38.3% | — | Not comparable |
| Apex ShortlistSource | 90.2% | — | Not comparable |
| 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 |
Multimodal4 benchmarks
Inst. Following1 benchmarks
| Benchmark | DeepSeek V4 Pro (Max) | GPT-5.6 Sol | Result |
|---|---|---|---|
| AA-IFBenchSource | 76.5% | 72.7% | DeepSeek V4 Pro (Max) leads |
Frequently Asked Questions (5)
Which is better, DeepSeek V4 Pro (Max) or GPT-5.6 Sol?
DeepSeek V4 Pro (Max) and GPT-5.6 Sol 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, DeepSeek V4 Pro (Max) or GPT-5.6 Sol?
GPT-5.6 Sol has the edge for knowledge tasks in this comparison, averaging 94.6 versus 60.1. Inside this category, AA-Omniscience Index is the benchmark that creates the most daylight between them.
Which is better for coding, DeepSeek V4 Pro (Max) or GPT-5.6 Sol?
DeepSeek V4 Pro (Max) has the edge for coding in this comparison, averaging 70.9 versus 64.6. Inside this category, Terminal-Bench 2.0 is the benchmark that creates the most daylight between them.
Which is better for math, DeepSeek V4 Pro (Max) or GPT-5.6 Sol?
DeepSeek V4 Pro (Max) has the edge for math in this comparison, averaging 95.2 versus 87.5. GPT-5.6 Sol stays close enough that the answer can still flip depending on your workload.
Which is better for agentic tasks, DeepSeek V4 Pro (Max) or GPT-5.6 Sol?
GPT-5.6 Sol has the edge for agentic tasks in this comparison, averaging 92 versus 74.5. Inside this category, AA Briefcase is the benchmark that creates the most daylight between them.
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