Model comparison
DeepSeek V4 Pro vs GPT-5.5 Pro
GPT-5.5 Pro is the stronger model overall, scoring 64.3 to 54.3 on the Noometry Index. DeepSeek V4 Pro costs 68× less per token, which makes it the better buy when GPT-5.5 Pro's lead doesn't matter for your workload.
Last verified . 11 shared benchmarks.
DeepSeekSummary
- They share 11 benchmarks with published results for both. DeepSeek V4 Pro scores higher in 0 categories and GPT-5.5 Pro in 3 categories; 3 gaps are clear of the uncertainty.
- The widest gap is in math, where GPT-5.5 Pro leads 84.0 to 64.8.
- The biggest single-benchmark swing is FrontierMath Tier 4: 26.8% for DeepSeek V4 Pro and 78% for GPT-5.5 Pro.
- DeepSeek V4 Pro is cheaper at $0.66 / $1.98 per million input/output tokens, against $30 / $180 for GPT-5.5 Pro.
- GPT-5.5 Pro accepts more context: 1.05M tokens versus 1M.
- DeepSeek V4 Pro has downloadable open weights; the other is API-only.
Side by side
| DeepSeek V4 Pro | GPT-5.5 Pro | |
|---|---|---|
| Provider | DeepSeek | OpenAI |
| Noometry Index | 54.3 | 64.3 |
| Released | 2026-04-24 | 2026-04-23 |
| Weights | Open | Proprietary |
| Context window | 1M | 1.05M |
| Max output | 393K | 128K |
| Input $ / M tokens | $0.66 | $30 |
| Output $ / M tokens | $1.98 | $180 |
| Results tracked | 48 | 14 |
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Category by category
Coding Not comparable
DeepSeek V4 Pro: 52.4 (#34), GPT-5.5 Pro: —
| Benchmark | DeepSeek V4 Pro | GPT-5.5 Pro |
|---|---|---|
| SWE-bench Verified | 77.6% | — |
| FrontierCode | 28.6% | — |
| LMArena WebDev | 1582 | — |
| SciCode | 51% | — |
| WeirdML | 66.2% | — |
| LMArena Coding | 1470 | — |
| ALE-Bench | 1,403 | — |
Agentic & Tool Use Not comparable
DeepSeek V4 Pro: 32.8 (#58), GPT-5.5 Pro: —
| Benchmark | DeepSeek V4 Pro | GPT-5.5 Pro |
|---|---|---|
| APEX-Agents | 47.3% | — |
| Vending-Bench 2 | 3,285 | — |
Reasoning GPT-5.5 Pro leads
DeepSeek V4 Pro: 56.5 (#24), GPT-5.5 Pro: 73.3 (#10)
| Benchmark | DeepSeek V4 Pro | GPT-5.5 Pro |
|---|---|---|
| ARC-AGI-2 | 61.3% | 84.6% |
| ARC-AGI-1 | 90.5% | 96.5% |
| CritPt | 18% | 30.6% |
| Chess Puzzles | 47% | 64% |
| DTBench | 93.9% | 96% |
| LMCA | 45.5% | 53.9% |
| Epoch Capabilities Index | 155.31 | 162.07 |
| SimpleBench | — | 76.9% |
| Kagi LLM Benchmark | 53.5% | — |
| NYT Connections (extended) | 91.3% | — |
| LMArena Hard Prompts | 1461 | — |
| Mystery Game Puzzles | 43% | — |
| Surface Evolver Bench | 40% | — |
| ForecastBench | 56.1 | — |
Math GPT-5.5 Pro leads
DeepSeek V4 Pro: 64.8 (#30), GPT-5.5 Pro: 84.0 (#10)
| Benchmark | DeepSeek V4 Pro | GPT-5.5 Pro |
|---|---|---|
| FrontierMath (Tiers 1-3) | 64.6% | 87.7% |
| FrontierMath Tier 4 | 26.8% | 78% |
| OTIS Mock AIME 2024-2025 | 98.6% | 100% |
| MathArena Final-Answer Competitions | 76.6% | — |
| ProofBench | 50% | — |
| LMArena Math | 1455 | — |
| FrontierMath (Feb 2025 set) | — | 52.4% |
| FrontierMath Tier 4 (v1) | — | 39.6% |
Knowledge GPT-5.5 Pro leads
DeepSeek V4 Pro: 59.5 (#31), GPT-5.5 Pro: 64.1 (#19)
| Benchmark | DeepSeek V4 Pro | GPT-5.5 Pro |
|---|---|---|
| GPQA Diamond | 91.7% | 93.9% |
| SimpleQA Verified | 52.9% | — |
| Vectara Hallucination Rate | 8.6% | — |
| LMArena Expert | 1464 | — |
Multilingual Not comparable
DeepSeek V4 Pro: 54.4 (#45), GPT-5.5 Pro: —
| Benchmark | DeepSeek V4 Pro | GPT-5.5 Pro |
|---|---|---|
| LMArena Non-English | 1439 | — |
| LMArena Chinese | 1486 | — |
| LMArena French | 1472 | — |
| LMArena German | 1458 | — |
| LMArena Japanese | 1445 | — |
| LMArena Korean | 1447 | — |
| LMArena Russian | 1453 | — |
| LMArena Spanish | 1458 | — |
Instruction Following Not comparable
DeepSeek V4 Pro: 76.1 (#47), GPT-5.5 Pro: —
| Benchmark | DeepSeek V4 Pro | GPT-5.5 Pro |
|---|---|---|
| LMArena Instruction Following | 1448 | — |
Long Context Not comparable
DeepSeek V4 Pro: 45.0 (#51), GPT-5.5 Pro: —
| Benchmark | DeepSeek V4 Pro | GPT-5.5 Pro |
|---|---|---|
| CL-bench Life | 13.5% | — |
| LMArena Longer Query | 1458 | — |
Writing & Preference Not comparable
DeepSeek V4 Pro: 65.5 (#46), GPT-5.5 Pro: —
| Benchmark | DeepSeek V4 Pro | GPT-5.5 Pro |
|---|---|---|
| LMArena Text | 1451 | — |
| LMArena Creative Writing | 1446 | — |
| EQ-Bench Creative Writing | 1553 | — |
| EQ-Bench 4 | 1166 | — |
| LMArena Multi-Turn | 1467 | — |
Frequently asked questions
Is DeepSeek V4 Pro better than GPT-5.5 Pro?
GPT-5.5 Pro is the stronger model overall, scoring 64.3 to 54.3 on the Noometry Index. DeepSeek V4 Pro costs 68× less per token, which makes it the better buy when GPT-5.5 Pro's lead doesn't matter for your workload.
Which is cheaper, DeepSeek V4 Pro or GPT-5.5 Pro?
DeepSeek V4 Pro is cheaper. It lists at $0.66 per million input tokens and $1.98 per million output tokens; GPT-5.5 Pro lists at $30 and $180.
Which has the bigger context window?
GPT-5.5 Pro does, with 1.05M tokens against 1M.
How many benchmarks do DeepSeek V4 Pro and GPT-5.5 Pro share?
11 benchmarks have published results for both models. DeepSeek V4 Pro has 48 scored results on Noometry and GPT-5.5 Pro has 14.