Model comparison
DeepSeek-V2.5 (Sep 2024) vs Nova Premier 1.0
DeepSeek-V2.5 (Sep 2024) and Nova Premier 1.0 score almost the same on the Noometry Index (37.6 vs 38.3), so choose on price, context window or the category you care about most.
Last verified . 0 shared benchmarks.
DeepSeekSummary
- DeepSeek-V2.5 (Sep 2024) has downloadable open weights; the other is API-only.
Side by side
| DeepSeek-V2.5 (Sep 2024) | Nova Premier 1.0 | |
|---|---|---|
| Provider | DeepSeek | Amazon |
| Noometry Index | 37.6 | 38.3 |
| Released | 2024-09-06 | 2025-04-30 |
| Weights | Open | Proprietary |
| Context window | — | 1M |
| Max output | — | 10K |
| Input $ / M tokens | — | $2.50 |
| Output $ / M tokens | — | $12.50 |
| Results tracked | 22 | 6 |
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Category by category
Coding Not comparable
DeepSeek-V2.5 (Sep 2024): 31.7 (#281), Nova Premier 1.0: —
| Benchmark | DeepSeek-V2.5 (Sep 2024) | Nova Premier 1.0 |
|---|---|---|
| Aider Polyglot | 17.8% | — |
| BigCodeBench Instruct | 48.6% | — |
| LMArena Coding | 1309 | — |
| BigCodeBench Complete | 53.2% | — |
| HumanEval+ | 83.5% | — |
| MBPP+ | 74.1% | — |
Reasoning DeepSeek-V2.5 (Sep 2024) leads
DeepSeek-V2.5 (Sep 2024): 25.6 (#145), Nova Premier 1.0: 23.0 (#185)
| Benchmark | DeepSeek-V2.5 (Sep 2024) | Nova Premier 1.0 |
|---|---|---|
| Kagi LLM Benchmark | — | 44.8% |
| LMArena Hard Prompts | 1289 | — |
Math DeepSeek-V2.5 (Sep 2024) leads
DeepSeek-V2.5 (Sep 2024): 35.9 (#177), Nova Premier 1.0: 33.8 (#199)
| Benchmark | DeepSeek-V2.5 (Sep 2024) | Nova Premier 1.0 |
|---|---|---|
| Omni-MATH | — | 35% |
| LMArena Math | 1288 | — |
Knowledge Nova Premier 1.0 leads
DeepSeek-V2.5 (Sep 2024): 34.8 (#193), Nova Premier 1.0: 35.8 (#180)
| Benchmark | DeepSeek-V2.5 (Sep 2024) | Nova Premier 1.0 |
|---|---|---|
| MMLU-Pro | — | 72.6% |
| GPQA (HELM) | — | 51.8% |
| LMArena Expert | 1266 | — |
Multilingual Not comparable
DeepSeek-V2.5 (Sep 2024): 42.5 (#193), Nova Premier 1.0: —
| Benchmark | DeepSeek-V2.5 (Sep 2024) | Nova Premier 1.0 |
|---|---|---|
| LMArena Non-English | 1273 | — |
| LMArena Chinese | 1318 | — |
| LMArena French | 1289 | — |
| LMArena German | 1258 | — |
| LMArena Japanese | 1228 | — |
| LMArena Korean | 1209 | — |
| LMArena Russian | 1289 | — |
| LMArena Spanish | 1248 | — |
Instruction Following Too close to call
DeepSeek-V2.5 (Sep 2024): 67.5 (#194), Nova Premier 1.0: 66.8 (#204)
| Benchmark | DeepSeek-V2.5 (Sep 2024) | Nova Premier 1.0 |
|---|---|---|
| IFEval | — | 80.3% |
| LMArena Instruction Following | 1280 | — |
Long Context Not comparable
DeepSeek-V2.5 (Sep 2024): 39.5 (#174), Nova Premier 1.0: —
| Benchmark | DeepSeek-V2.5 (Sep 2024) | Nova Premier 1.0 |
|---|---|---|
| LMArena Longer Query | 1301 | — |
Writing & Preference Nova Premier 1.0 leads
DeepSeek-V2.5 (Sep 2024): 49.8 (#187), Nova Premier 1.0: 51.0 (#178)
| Benchmark | DeepSeek-V2.5 (Sep 2024) | Nova Premier 1.0 |
|---|---|---|
| LMArena Text | 1294 | — |
| LMArena Creative Writing | 1285 | — |
| WildBench | — | 78.8% |
| LMArena Multi-Turn | 1297 | — |
Frequently asked questions
Is DeepSeek-V2.5 (Sep 2024) better than Nova Premier 1.0?
DeepSeek-V2.5 (Sep 2024) and Nova Premier 1.0 score almost the same on the Noometry Index (37.6 vs 38.3), so choose on price, context window or the category you care about most.
How many benchmarks do DeepSeek-V2.5 (Sep 2024) and Nova Premier 1.0 share?
0 benchmarks have published results for both models. DeepSeek-V2.5 (Sep 2024) has 22 scored results on Noometry and Nova Premier 1.0 has 6.