# DeepSeek-V3.2-Speciale vs Nova Premier 1.0

> DeepSeek-V3.2-Speciale is the stronger model overall, scoring 39.7 to 38.3 on the Noometry Index.

- Canonical page: https://noometry.com/compare/deepseek-v3-2-speciale-vs-nova-premier-1-0
- Last updated: 2026-10-12
- Shared benchmarks: 0

## Summary

- The widest gap is in reasoning, where DeepSeek-V3.2-Speciale leads 32.9 to 23.0.
- DeepSeek-V3.2-Speciale is cheaper at $0.58 / $1.68 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 128K.
- DeepSeek-V3.2-Speciale has downloadable open weights; the other is API-only.

## Snapshot

| | DeepSeek-V3.2-Speciale | Nova Premier 1.0 |
|---|---|---|
| Provider | DeepSeek | Amazon |
| Noometry Index | 39.7 | 38.3 |
| Rank | 162 | 189 |
| Context | 128K | 1M |
| Input $/M | $0.58 | $2.50 |
| Output $/M | $1.68 | $12.50 |
| Weights | Open | Proprietary |

## Coding

- DeepSeek-V3.2-Speciale: 40.4 (#140)
- Nova Premier 1.0: —

| Benchmark | DeepSeek-V3.2-Speciale | Nova Premier 1.0 |
|---|---|---|
| WeirdML | 46.7% | — |

## Reasoning

- DeepSeek-V3.2-Speciale: 32.9 (#73)
- Nova Premier 1.0: 23.0 (#185)

| Benchmark | DeepSeek-V3.2-Speciale | Nova Premier 1.0 |
|---|---|---|
| SimpleBench | 52.6% | — |
| Kagi LLM Benchmark | — | 44.8% |

## Math

- DeepSeek-V3.2-Speciale: —
- Nova Premier 1.0: 33.8 (#199)

| Benchmark | DeepSeek-V3.2-Speciale | Nova Premier 1.0 |
|---|---|---|
| Omni-MATH | — | 35% |

## Knowledge

- DeepSeek-V3.2-Speciale: —
- Nova Premier 1.0: 35.8 (#180)

| Benchmark | DeepSeek-V3.2-Speciale | Nova Premier 1.0 |
|---|---|---|
| MMLU-Pro | — | 72.6% |
| GPQA (HELM) | — | 51.8% |

## Instruction Following

- DeepSeek-V3.2-Speciale: —
- Nova Premier 1.0: 66.8 (#204)

| Benchmark | DeepSeek-V3.2-Speciale | Nova Premier 1.0 |
|---|---|---|
| IFEval | — | 80.3% |

## Writing & Preference

- DeepSeek-V3.2-Speciale: 46.0 (#222)
- Nova Premier 1.0: 51.0 (#178)

| Benchmark | DeepSeek-V3.2-Speciale | Nova Premier 1.0 |
|---|---|---|
| EQ-Bench Creative Writing | 1276 | — |
| WildBench | — | 78.8% |

## FAQ

### Is DeepSeek-V3.2-Speciale better than Nova Premier 1.0?

DeepSeek-V3.2-Speciale is the stronger model overall, scoring 39.7 to 38.3 on the Noometry Index.

### Which is cheaper, DeepSeek-V3.2-Speciale or Nova Premier 1.0?

DeepSeek-V3.2-Speciale is cheaper. It lists at $0.58 per million input tokens and $1.68 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 128K.

### How many benchmarks do DeepSeek-V3.2-Speciale and Nova Premier 1.0 share?

0 benchmarks have published results for both models. DeepSeek-V3.2-Speciale has 3 scored results on Noometry and Nova Premier 1.0 has 6.