Model comparison
DeepSeek-V3.1-Terminus vs GPT-5.4 Pro
GPT-5.4 Pro is the stronger model overall, scoring 58.9 to 43.1 on the Noometry Index. DeepSeek-V3.1-Terminus costs 149× less per token, which makes it the better buy when GPT-5.4 Pro's lead doesn't matter for your workload.
Last verified . 1 shared benchmarks.
Summary
- They share 1 benchmark with published results for both. DeepSeek-V3.1-Terminus scores higher in 0 categories and GPT-5.4 Pro in 3 categories; 3 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where GPT-5.4 Pro leads 70.7 to 26.4.
- The biggest single-benchmark swing is CritPt: 1.7% for DeepSeek-V3.1-Terminus and 30% for GPT-5.4 Pro.
- DeepSeek-V3.1-Terminus is cheaper at $0.27 / $1 per million input/output tokens, against $30 / $180 for GPT-5.4 Pro.
- GPT-5.4 Pro accepts more context: 1.05M tokens versus 164K.
- DeepSeek-V3.1-Terminus has downloadable open weights; the other is API-only.
Side by side
| DeepSeek-V3.1-Terminus | GPT-5.4 Pro | |
|---|---|---|
| Provider | DeepSeek | OpenAI |
| Noometry Index | 43.1 | 58.9 |
| Released | 2025-09-22 | 2026-03-05 |
| Weights | Open | Proprietary |
| Context window | 164K | 1.05M |
| Max output | 147K | 128K |
| Input $ / M tokens | $0.27 | $30 |
| Output $ / M tokens | $1 | $180 |
| Results tracked | 16 | 16 |
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Category by category
Coding GPT-5.4 Pro leads
DeepSeek-V3.1-Terminus: 42.0 (#113), GPT-5.4 Pro: 43.2 (#90)
| Benchmark | DeepSeek-V3.1-Terminus | GPT-5.4 Pro |
|---|---|---|
| SciCode | 40.6% | — |
| WeirdML | — | 57.4% |
| LMArena Coding | 1426 | — |
| ALE-Bench | 745.17 | — |
Reasoning GPT-5.4 Pro leads
DeepSeek-V3.1-Terminus: 26.4 (#133), GPT-5.4 Pro: 70.7 (#13)
| Benchmark | DeepSeek-V3.1-Terminus | GPT-5.4 Pro |
|---|---|---|
| CritPt | 1.7% | 30% |
| ARC-AGI-2 | — | 83.3% |
| SimpleBench | — | 74.1% |
| Kagi LLM Benchmark | 57.4% | — |
| ARC-AGI-1 | — | 94.5% |
| Chess Puzzles | — | 58.6% |
| EnigmaEval | — | 23.8% |
| LMArena Hard Prompts | 1426 | — |
| DTBench | 81.3% | — |
| LMCA | 28.6% | — |
| Epoch Capabilities Index | — | 158.93 |
Math GPT-5.4 Pro leads
DeepSeek-V3.1-Terminus: 38.5 (#137), GPT-5.4 Pro: 72.4 (#22)
| Benchmark | DeepSeek-V3.1-Terminus | GPT-5.4 Pro |
|---|---|---|
| FrontierMath (Tiers 1-3) | — | 82.5% |
| FrontierMath Tier 4 | — | 58.5% |
| LMArena Math | 1402 | — |
| FrontierMath (Feb 2025 set) | — | 50% |
| FrontierMath Tier 4 (v1) | — | 37.5% |
Knowledge Not comparable
DeepSeek-V3.1-Terminus: —, GPT-5.4 Pro: 68.3 (#7)
| Benchmark | DeepSeek-V3.1-Terminus | GPT-5.4 Pro |
|---|---|---|
| GPQA Diamond | — | 94.6% |
| Humanity's Last Exam | — | 44.3% |
| SimpleQA Verified | — | 46.3% |
| Vectara Hallucination Rate | — | 8.3% |
Multilingual Not comparable
DeepSeek-V3.1-Terminus: 52.1 (#92), GPT-5.4 Pro: —
| Benchmark | DeepSeek-V3.1-Terminus | GPT-5.4 Pro |
|---|---|---|
| LMArena Non-English | 1407 | — |
| LMArena Russian | 1436 | — |
Instruction Following Not comparable
DeepSeek-V3.1-Terminus: 74.0 (#106), GPT-5.4 Pro: —
| Benchmark | DeepSeek-V3.1-Terminus | GPT-5.4 Pro |
|---|---|---|
| LMArena Instruction Following | 1404 | — |
Long Context Not comparable
DeepSeek-V3.1-Terminus: 43.4 (#97), GPT-5.4 Pro: —
| Benchmark | DeepSeek-V3.1-Terminus | GPT-5.4 Pro |
|---|---|---|
| LMArena Longer Query | 1421 | — |
Writing & Preference Not comparable
DeepSeek-V3.1-Terminus: 61.0 (#92), GPT-5.4 Pro: —
| Benchmark | DeepSeek-V3.1-Terminus | GPT-5.4 Pro |
|---|---|---|
| LMArena Text | 1419 | — |
| LMArena Creative Writing | 1403 | — |
| LMArena Multi-Turn | 1411 | — |
Frequently asked questions
Is DeepSeek-V3.1-Terminus better than GPT-5.4 Pro?
GPT-5.4 Pro is the stronger model overall, scoring 58.9 to 43.1 on the Noometry Index. DeepSeek-V3.1-Terminus costs 149× less per token, which makes it the better buy when GPT-5.4 Pro's lead doesn't matter for your workload.
Which is cheaper, DeepSeek-V3.1-Terminus or GPT-5.4 Pro?
DeepSeek-V3.1-Terminus is cheaper. It lists at $0.27 per million input tokens and $1 per million output tokens; GPT-5.4 Pro lists at $30 and $180.
Is DeepSeek-V3.1-Terminus or GPT-5.4 Pro better for coding?
GPT-5.4 Pro scores higher on coding benchmarks: 43.2 versus 42.0 in the Noometry coding category.
Which has the bigger context window?
GPT-5.4 Pro does, with 1.05M tokens against 164K.
How many benchmarks do DeepSeek-V3.1-Terminus and GPT-5.4 Pro share?
1 benchmark has published results for both models. DeepSeek-V3.1-Terminus has 16 scored results on Noometry and GPT-5.4 Pro has 16.