Model comparison
DeepSeek V4.1 Flash vs Nova Premier 1.0
DeepSeek V4.1 Flash is the stronger model overall, scoring 52.8 to 38.3 on the Noometry Index.
Last verified . 0 shared benchmarks.
DeepSeekSummary
- The widest gap is in math, where DeepSeek V4.1 Flash leads 66.7 to 33.8.
- DeepSeek V4.1 Flash is cheaper at $0.15 / $0.60 per million input/output tokens, against $2.50 / $12.50 for Nova Premier 1.0.
- DeepSeek V4.1 Flash has downloadable open weights; the other is API-only.
Side by side
| DeepSeek V4.1 Flash | Nova Premier 1.0 | |
|---|---|---|
| Provider | DeepSeek | Amazon |
| Noometry Index | 52.8 | 38.3 |
| Released | 2026-09-09 | 2025-04-30 |
| Weights | Open | Proprietary |
| Context window | 1M | 1M |
| Max output | 393K | 10K |
| Input $ / M tokens | $0.15 | $2.50 |
| Output $ / M tokens | $0.60 | $12.50 |
| Results tracked | 37 | 6 |
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Category by category
Coding Not comparable
DeepSeek V4.1 Flash: 52.9 (#32), Nova Premier 1.0: —
| Benchmark | DeepSeek V4.1 Flash | Nova Premier 1.0 |
|---|---|---|
| LMArena WebDev | 1619 | — |
| SciCode | 51.9% | — |
| LMArena Coding | 1506 | — |
| ALE-Bench | 1,092 | — |
Agentic & Tool Use Not comparable
DeepSeek V4.1 Flash: 31.2 (#69), Nova Premier 1.0: —
| Benchmark | DeepSeek V4.1 Flash | Nova Premier 1.0 |
|---|---|---|
| APEX-Agents | 39.5% | — |
| GDP.pdf | 19.8% | — |
Reasoning DeepSeek V4.1 Flash leads
DeepSeek V4.1 Flash: 50.2 (#36), Nova Premier 1.0: 23.0 (#185)
| Benchmark | DeepSeek V4.1 Flash | Nova Premier 1.0 |
|---|---|---|
| Kagi LLM Benchmark | — | 44.8% |
| NYT Connections (extended) | 89.6% | — |
| CritPt | 14.3% | — |
| LMArena Hard Prompts | 1483 | — |
| Mystery Game Puzzles | 43% | — |
| DTBench | 89.9% | — |
| LMCA | 47% | — |
| Surface Evolver Bench | 46.3% | — |
| Epoch Capabilities Index | 154.9 | — |
Math DeepSeek V4.1 Flash leads
DeepSeek V4.1 Flash: 66.7 (#25), Nova Premier 1.0: 33.8 (#199)
| Benchmark | DeepSeek V4.1 Flash | Nova Premier 1.0 |
|---|---|---|
| FrontierMath (Tiers 1-3) | 67.4% | — |
| FrontierMath Tier 4 | 26.8% | — |
| OTIS Mock AIME 2024-2025 | 98.3% | — |
| ProofBench | 54% | — |
| Omni-MATH | — | 35% |
| LMArena Math | 1477 | — |
Knowledge DeepSeek V4.1 Flash leads
DeepSeek V4.1 Flash: 57.9 (#38), Nova Premier 1.0: 35.8 (#180)
| Benchmark | DeepSeek V4.1 Flash | Nova Premier 1.0 |
|---|---|---|
| GPQA Diamond | 89.8% | — |
| MMLU-Pro | — | 72.6% |
| GPQA (HELM) | — | 51.8% |
| LMArena Expert | 1506 | — |
Multimodal Not comparable
DeepSeek V4.1 Flash: 39.1 (#61), Nova Premier 1.0: —
| Benchmark | DeepSeek V4.1 Flash | Nova Premier 1.0 |
|---|---|---|
| LMArena Vision | 1277 | — |
| Furniture Assembly | 34.2% | — |
Multilingual Not comparable
DeepSeek V4.1 Flash: 55.0 (#35), Nova Premier 1.0: —
| Benchmark | DeepSeek V4.1 Flash | Nova Premier 1.0 |
|---|---|---|
| LMArena Non-English | 1448 | — |
| LMArena Chinese | 1497 | — |
| LMArena French | 1452 | — |
| LMArena German | 1484 | — |
| LMArena Japanese | 1412 | — |
| LMArena Korean | 1452 | — |
| LMArena Russian | 1471 | — |
| LMArena Spanish | 1459 | — |
Instruction Following DeepSeek V4.1 Flash leads
DeepSeek V4.1 Flash: 77.3 (#26), Nova Premier 1.0: 66.8 (#204)
| Benchmark | DeepSeek V4.1 Flash | Nova Premier 1.0 |
|---|---|---|
| IFEval | — | 80.3% |
| LMArena Instruction Following | 1474 | — |
Long Context Not comparable
DeepSeek V4.1 Flash: 45.2 (#47), Nova Premier 1.0: —
| Benchmark | DeepSeek V4.1 Flash | Nova Premier 1.0 |
|---|---|---|
| LMArena Longer Query | 1475 | — |
Writing & Preference DeepSeek V4.1 Flash leads
DeepSeek V4.1 Flash: 65.4 (#48), Nova Premier 1.0: 51.0 (#178)
| Benchmark | DeepSeek V4.1 Flash | Nova Premier 1.0 |
|---|---|---|
| LMArena Text | 1462 | — |
| LMArena Creative Writing | 1435 | — |
| EQ-Bench Creative Writing | 1540 | — |
| WildBench | — | 78.8% |
| LMArena Multi-Turn | 1457 | — |
Frequently asked questions
Is DeepSeek V4.1 Flash better than Nova Premier 1.0?
DeepSeek V4.1 Flash is the stronger model overall, scoring 52.8 to 38.3 on the Noometry Index.
Which is cheaper, DeepSeek V4.1 Flash or Nova Premier 1.0?
DeepSeek V4.1 Flash is cheaper. It lists at $0.15 per million input tokens and $0.60 per million output tokens; Nova Premier 1.0 lists at $2.50 and $12.50.
Which has the bigger context window?
Both accept 1M tokens.
How many benchmarks do DeepSeek V4.1 Flash and Nova Premier 1.0 share?
0 benchmarks have published results for both models. DeepSeek V4.1 Flash has 37 scored results on Noometry and Nova Premier 1.0 has 6.