Model comparison
DeepSeek-V3.1-Terminus vs GPT-5.3 Chat
DeepSeek-V3.1-Terminus and GPT-5.3 Chat score almost the same on the Noometry Index (43.1 vs 42.8), so choose on price, context window or the category you care about most.
Last verified . 10 shared benchmarks.
DeepSeekSummary
- They share 10 benchmarks with published results for both. DeepSeek-V3.1-Terminus scores higher in 5 categories and GPT-5.3 Chat in 2 categories; 4 gaps are clear of the uncertainty.
- DeepSeek-V3.1-Terminus is cheaper at $0.27 / $1 per million input/output tokens, against $1.75 / $14 for GPT-5.3 Chat.
- DeepSeek-V3.1-Terminus accepts more context: 164K tokens versus 128K.
- DeepSeek-V3.1-Terminus has downloadable open weights; the other is API-only.
Side by side
| DeepSeek-V3.1-Terminus | GPT-5.3 Chat | |
|---|---|---|
| Provider | DeepSeek | OpenAI |
| Noometry Index | 43.1 | 42.8 |
| Released | 2025-09-22 | 2026-03-03 |
| Weights | Open | Proprietary |
| Context window | 164K | 128K |
| Max output | 147K | 16K |
| Input $ / M tokens | $0.27 | $1.75 |
| Output $ / M tokens | $1 | $14 |
| Results tracked | 16 | 18 |
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Category by category
Coding Too close to call
DeepSeek-V3.1-Terminus: 42.0 (#113), GPT-5.3 Chat: 41.4 (#124)
| Benchmark | DeepSeek-V3.1-Terminus | GPT-5.3 Chat |
|---|---|---|
| LMArena Coding | 1426 | 1408 |
| SciCode | 40.6% | — |
| ALE-Bench | 745.17 | — |
Reasoning GPT-5.3 Chat leads
DeepSeek-V3.1-Terminus: 26.4 (#133), GPT-5.3 Chat: 28.5 (#102)
| Benchmark | DeepSeek-V3.1-Terminus | GPT-5.3 Chat |
|---|---|---|
| LMArena Hard Prompts | 1426 | 1399 |
| Kagi LLM Benchmark | 57.4% | — |
| CritPt | 1.7% | — |
| DTBench | 81.3% | — |
| LMCA | 28.6% | — |
Math Too close to call
DeepSeek-V3.1-Terminus: 38.5 (#137), GPT-5.3 Chat: 38.2 (#142)
| Benchmark | DeepSeek-V3.1-Terminus | GPT-5.3 Chat |
|---|---|---|
| LMArena Math | 1402 | 1389 |
Knowledge Not comparable
DeepSeek-V3.1-Terminus: —, GPT-5.3 Chat: 38.8 (#140)
| Benchmark | DeepSeek-V3.1-Terminus | GPT-5.3 Chat |
|---|---|---|
| LMArena Expert | — | 1397 |
Multilingual DeepSeek-V3.1-Terminus leads
DeepSeek-V3.1-Terminus: 52.1 (#92), GPT-5.3 Chat: 50.3 (#124)
| Benchmark | DeepSeek-V3.1-Terminus | GPT-5.3 Chat |
|---|---|---|
| LMArena Non-English | 1407 | 1382 |
| LMArena Russian | 1436 | 1400 |
| LMArena Chinese | — | 1432 |
| LMArena French | — | 1397 |
| LMArena German | — | 1384 |
| LMArena Japanese | — | 1352 |
| LMArena Korean | — | 1346 |
| LMArena Spanish | — | 1371 |
Instruction Following DeepSeek-V3.1-Terminus leads
DeepSeek-V3.1-Terminus: 74.0 (#106), GPT-5.3 Chat: 72.8 (#129)
| Benchmark | DeepSeek-V3.1-Terminus | GPT-5.3 Chat |
|---|---|---|
| LMArena Instruction Following | 1404 | 1378 |
Long Context Too close to call
DeepSeek-V3.1-Terminus: 43.4 (#97), GPT-5.3 Chat: 42.6 (#120)
| Benchmark | DeepSeek-V3.1-Terminus | GPT-5.3 Chat |
|---|---|---|
| LMArena Longer Query | 1421 | 1396 |
Writing & Preference GPT-5.3 Chat leads
DeepSeek-V3.1-Terminus: 61.0 (#92), GPT-5.3 Chat: 63.1 (#68)
| Benchmark | DeepSeek-V3.1-Terminus | GPT-5.3 Chat |
|---|---|---|
| LMArena Text | 1419 | 1389 |
| LMArena Creative Writing | 1403 | 1355 |
| LMArena Multi-Turn | 1411 | 1412 |
| EQ-Bench Creative Writing | — | 1690 |
Frequently asked questions
Is DeepSeek-V3.1-Terminus better than GPT-5.3 Chat?
DeepSeek-V3.1-Terminus and GPT-5.3 Chat score almost the same on the Noometry Index (43.1 vs 42.8), so choose on price, context window or the category you care about most.
Which is cheaper, DeepSeek-V3.1-Terminus or GPT-5.3 Chat?
DeepSeek-V3.1-Terminus is cheaper. It lists at $0.27 per million input tokens and $1 per million output tokens; GPT-5.3 Chat lists at $1.75 and $14.
Is DeepSeek-V3.1-Terminus or GPT-5.3 Chat better for coding?
They score almost the same on coding (42.0 vs 41.4); test both on your own repository before choosing.
Which has the bigger context window?
DeepSeek-V3.1-Terminus does, with 164K tokens against 128K.
How many benchmarks do DeepSeek-V3.1-Terminus and GPT-5.3 Chat share?
10 benchmarks have published results for both models. DeepSeek-V3.1-Terminus has 16 scored results on Noometry and GPT-5.3 Chat has 18.