# DeepSeek-V3.1-Terminus vs Nova Premier 1.0

> DeepSeek-V3.1-Terminus is the stronger model overall, scoring 43.1 to 38.3 on the Noometry Index.

- Canonical page: https://noometry.com/compare/deepseek-v3-1-terminus-vs-nova-premier-1-0
- Last updated: 2026-10-12
- Shared benchmarks: 1

## Summary

- They share 1 benchmark with published results for both. DeepSeek-V3.1-Terminus scores higher in 4 categories and Nova Premier 1.0 in 0 categories; 4 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where DeepSeek-V3.1-Terminus leads 61.0 to 51.0.
- The biggest single-benchmark swing is Kagi LLM Benchmark: 57.4% for DeepSeek-V3.1-Terminus and 44.8% for Nova Premier 1.0.
- DeepSeek-V3.1-Terminus is cheaper at $0.27 / $1 per million input/output tokens, against $2.50 / $12.50 for Nova Premier 1.0.
- Nova Premier 1.0 accepts more context: 1M tokens versus 164K.
- DeepSeek-V3.1-Terminus has downloadable open weights; the other is API-only.

## Snapshot

| | DeepSeek-V3.1-Terminus | Nova Premier 1.0 |
|---|---|---|
| Provider | DeepSeek | Amazon |
| Noometry Index | 43.1 | 38.3 |
| Rank | 97 | 189 |
| Context | 164K | 1M |
| Input $/M | $0.27 | $2.50 |
| Output $/M | $1 | $12.50 |
| Weights | Open | Proprietary |

## Coding

- DeepSeek-V3.1-Terminus: 42.0 (#113)
- Nova Premier 1.0: —

| Benchmark | DeepSeek-V3.1-Terminus | Nova Premier 1.0 |
|---|---|---|
| SciCode | 40.6% | — |
| LMArena Coding | 1426 | — |
| ALE-Bench | 745.17 | — |

## Reasoning

- DeepSeek-V3.1-Terminus: 26.4 (#133)
- Nova Premier 1.0: 23.0 (#185)

| Benchmark | DeepSeek-V3.1-Terminus | Nova Premier 1.0 |
|---|---|---|
| Kagi LLM Benchmark | 57.4% | 44.8% |
| CritPt | 1.7% | — |
| LMArena Hard Prompts | 1426 | — |
| DTBench | 81.3% | — |
| LMCA | 28.6% | — |

## Math

- DeepSeek-V3.1-Terminus: 38.5 (#137)
- Nova Premier 1.0: 33.8 (#199)

| Benchmark | DeepSeek-V3.1-Terminus | Nova Premier 1.0 |
|---|---|---|
| Omni-MATH | — | 35% |
| LMArena Math | 1402 | — |

## Knowledge

- DeepSeek-V3.1-Terminus: —
- Nova Premier 1.0: 35.8 (#180)

| Benchmark | DeepSeek-V3.1-Terminus | Nova Premier 1.0 |
|---|---|---|
| MMLU-Pro | — | 72.6% |
| GPQA (HELM) | — | 51.8% |

## Multilingual

- DeepSeek-V3.1-Terminus: 52.1 (#92)
- Nova Premier 1.0: —

| Benchmark | DeepSeek-V3.1-Terminus | Nova Premier 1.0 |
|---|---|---|
| LMArena Non-English | 1407 | — |
| LMArena Russian | 1436 | — |

## Instruction Following

- DeepSeek-V3.1-Terminus: 74.0 (#106)
- Nova Premier 1.0: 66.8 (#204)

| Benchmark | DeepSeek-V3.1-Terminus | Nova Premier 1.0 |
|---|---|---|
| IFEval | — | 80.3% |
| LMArena Instruction Following | 1404 | — |

## Long Context

- DeepSeek-V3.1-Terminus: 43.4 (#97)
- Nova Premier 1.0: —

| Benchmark | DeepSeek-V3.1-Terminus | Nova Premier 1.0 |
|---|---|---|
| LMArena Longer Query | 1421 | — |

## Writing & Preference

- DeepSeek-V3.1-Terminus: 61.0 (#92)
- Nova Premier 1.0: 51.0 (#178)

| Benchmark | DeepSeek-V3.1-Terminus | Nova Premier 1.0 |
|---|---|---|
| LMArena Text | 1419 | — |
| LMArena Creative Writing | 1403 | — |
| WildBench | — | 78.8% |
| LMArena Multi-Turn | 1411 | — |

## FAQ

### Is DeepSeek-V3.1-Terminus better than Nova Premier 1.0?

DeepSeek-V3.1-Terminus is the stronger model overall, scoring 43.1 to 38.3 on the Noometry Index.

### Which is cheaper, DeepSeek-V3.1-Terminus or Nova Premier 1.0?

DeepSeek-V3.1-Terminus is cheaper. It lists at $0.27 per million input tokens and $1 per million output tokens; Nova Premier 1.0 lists at $2.50 and $12.50.

### Which has the bigger context window?

Nova Premier 1.0 does, with 1M tokens against 164K.

### How many benchmarks do DeepSeek-V3.1-Terminus and Nova Premier 1.0 share?

1 benchmark has published results for both models. DeepSeek-V3.1-Terminus has 16 scored results on Noometry and Nova Premier 1.0 has 6.