Model comparison
DeepSeek V4 Pro vs GPT-5.1
Head-to-head evidence from 2 shared benchmark results across 2 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.
Public leaderboard positions: DeepSeek V4 Pro #46 (Supported); GPT-5.1 #94 (Estimated). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. DeepSeek V4 Pro and GPT-5.1 share 2 comparable benchmark results. 1 of 8 categories are comparable. 21 results are unique to DeepSeek V4 Pro; 19 to GPT-5.1.
Updated July 23, 2026- Shared results
- 2
- DeepSeek V4 Pro only
- 21
- GPT-5.1 only
- 19
- Comparable categories
- 1 / 8
Pick DeepSeek V4 Pro if you want the stronger benchmark profile. GPT-5.1 only becomes the better choice if you want the stronger reasoning-first profile.
Confidence note. This is a partial-evidence comparison with 2 shared benchmark results across 2 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
DeepSeek V4 Pro is clearly ahead on the BenchAlign aggregate, 60.66 to 53.65. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
DeepSeek V4 Pro's sharpest advantage is in mathematics, where it averages 31.7 against 26.4.
GPT-5.1 is also the more expensive model on tokens at $1.25 input / $10.00 output per 1M tokens, versus $0.43 input / $0.87 output per 1M tokens for DeepSeek V4 Pro. That is roughly 11.5x on output cost alone. GPT-5.1 is the reasoning model in the pair, while DeepSeek V4 Pro is not. That usually helps on harder chain-of-thought-heavy tests, but it can also mean more latency and more token spend in real use. DeepSeek V4 Pro gives you the larger context window at 1M, compared with 200K for GPT-5.1.
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 | Δ | GPT-5.1 |
|---|---|---|---|
| Math | DeepSeek V4 Pro31.7 | Margin← 5.3 | GPT-5.126.4 |
| Agentic | DeepSeek V4 Pro59.1 | MarginNo overlap | GPT-5.1Not measured |
| Coding | DeepSeek V4 Pro65.3 | MarginNo overlap | GPT-5.1Not measured |
| Knowledge | DeepSeek V4 Pro41.3 | MarginNo overlap | GPT-5.1Not measured |
Operational comparison
Runtime and commercial metrics are compared only when both models have a complete sourced value.
| Metric | DeepSeek V4 Pro | GPT-5.1 | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | DeepSeek V4 Pro$0.435 input / $0.87 output | GPT-5.1$1.25 input / $10 output | DeepSeek V4 Pro has the lower combined listed price. |
| Generation speedtokens per second | DeepSeek V4 ProNot available | GPT-5.1111 tok/s | A complete speed comparison is not available. |
| First-answer latencyseconds to first token | DeepSeek V4 ProNot available | GPT-5.157.47 s | A complete latency comparison is not available. |
| Context windowmaximum listed tokens | DeepSeek V4 Pro1M | GPT-5.1200K | DeepSeek V4 Pro lists the larger context window. |
Benchmark Deep Dive
Agentic10 benchmarks
| Benchmark | DeepSeek V4 Pro | GPT-5.1 | Result |
|---|---|---|---|
| Terminal-Bench 2.0Source | 59.1% | — | Not comparable |
| MCP AtlasSource | 69.4% | — | Not comparable |
| ToolathlonSource | 46.3% | — | Not comparable |
| Claw-EvalSource | 59.8% | — | Not comparable |
| Gert LabsSource | 50.28% | 41.24% | DeepSeek V4 Pro leads |
| ResearchClawBenchSource | 17.1% | — | Not comparable |
| AA Agentic IndexSource | — | 21.0% | Not comparable |
| τ²-bench resultsSource | — | 81.9% | Not comparable |
| GDPval-AASource | — | 24.4% | Not comparable |
| GDPval-AASource | — | 987 | Not comparable |
Coding7 benchmarks
| Benchmark | DeepSeek V4 Pro | GPT-5.1 | Result |
|---|---|---|---|
| SWE-bench VerifiedSource | 73.6% | — | Not comparable |
| SWE-bench ProSource | 52.1% | — | Not comparable |
| SWE MultilingualSource | 69.8% | — | Not comparable |
| Terminal-Bench 2.0Source | 59.1% | — | Not comparable |
| Vibe Code BenchSource | — | 24.61% | Not comparable |
| AA Coding IndexSource | — | 49.4% | Not comparable |
| AA-SciCodeSource | — | 43.3% | Not comparable |
Reasoning4 benchmarks
Knowledge12 benchmarks
| Benchmark | DeepSeek V4 Pro | GPT-5.1 | Result |
|---|---|---|---|
| MMLU-ProSource | 82.9% | — | Not comparable |
| SimpleQASource | 45% | — | Not comparable |
| Chinese-SimpleQASource | 75.8% | — | Not comparable |
| GPQASource | 72.9% | — | Not comparable |
| GPQA-DSource | 72.9% | — | Not comparable |
| HLESource | 7.7% | — | Not comparable |
| Artificial Analysis Intelligence IndexSource | — | 36.9% | Not comparable |
| AA-GPQA DiamondSource | — | 87.3% | Not comparable |
| AA-HLESource | — | 26.5% | Not comparable |
| AA-Omniscience IndexSource | — | 5.6% | Not comparable |
| AA-Omniscience AccuracySource | — | 37.6% | Not comparable |
| AA-Omniscience Hallucination RateSource | — | 51.3% | Not comparable |
MathDeepSeek V4 Pro wins6 benchmarks
Multimodal2 benchmarks
Inst. Following1 benchmarks
| Benchmark | DeepSeek V4 Pro | GPT-5.1 | Result |
|---|---|---|---|
| AA-IFBenchSource | — | 72.9% | Not comparable |
Frequently Asked Questions (2)
Which is better, DeepSeek V4 Pro or GPT-5.1?
DeepSeek V4 Pro is ahead on BenchLM's BenchAlign leaderboard, 60.66 to 53.65.
Which is better for math, DeepSeek V4 Pro or GPT-5.1?
DeepSeek V4 Pro has the edge for math in this comparison, averaging 31.7 versus 26.4. GPT-5.1 stays close enough that the answer can still flip depending on your workload.
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