Model comparison
Amazon Nova Micro vs DeepSeek V4.1 Flash
DeepSeek V4.1 Flash is the stronger model overall, scoring 52.8 to 30.4 on the Noometry Index. Amazon Nova Micro costs 4.3× less per token, which makes it the better buy when DeepSeek V4.1 Flash's lead doesn't matter for your workload.
Last verified . 17 shared benchmarks.
DeepSeekSummary
- They share 17 benchmarks with published results for both. Amazon Nova Micro scores higher in 0 categories and DeepSeek V4.1 Flash in 9 categories; 9 gaps are clear of the uncertainty.
- The widest gap is in math, where DeepSeek V4.1 Flash leads 66.7 to 26.9.
- Amazon Nova Micro is cheaper at $0.035 / $0.14 per million input/output tokens, against $0.15 / $0.60 for DeepSeek V4.1 Flash.
- DeepSeek V4.1 Flash accepts more context: 1M tokens versus 128K.
- DeepSeek V4.1 Flash has downloadable open weights; the other is API-only.
Side by side
| Amazon Nova Micro | DeepSeek V4.1 Flash | |
|---|---|---|
| Provider | Amazon | DeepSeek |
| Noometry Index | 30.4 | 52.8 |
| Released | 2024-12-03 | 2026-09-09 |
| Weights | Proprietary | Open |
| Context window | 128K | 1M |
| Max output | 10K | 393K |
| Input $ / M tokens | $0.035 | $0.15 |
| Output $ / M tokens | $0.14 | $0.60 |
| Results tracked | 32 | 37 |
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Category by category
Coding DeepSeek V4.1 Flash leads
Amazon Nova Micro: 30.5 (#295), DeepSeek V4.1 Flash: 52.9 (#32)
| Benchmark | Amazon Nova Micro | DeepSeek V4.1 Flash |
|---|---|---|
| LMArena Coding | 1218 | 1506 |
| LMArena WebDev | — | 1619 |
| SciCode | — | 51.9% |
| LiveBench Coding | 20.2% | — |
| ALE-Bench | — | 1,092 |
Agentic & Tool Use DeepSeek V4.1 Flash leads
Amazon Nova Micro: 22.1 (#132), DeepSeek V4.1 Flash: 31.2 (#69)
| Benchmark | Amazon Nova Micro | DeepSeek V4.1 Flash |
|---|---|---|
| APEX-Agents | — | 39.5% |
| Berkeley Function Calling Leaderboard | 22.3% | — |
| GDP.pdf | — | 19.8% |
Reasoning DeepSeek V4.1 Flash leads
Amazon Nova Micro: 17.4 (#294), DeepSeek V4.1 Flash: 50.2 (#36)
| Benchmark | Amazon Nova Micro | DeepSeek V4.1 Flash |
|---|---|---|
| LMArena Hard Prompts | 1191 | 1483 |
| NYT Connections (extended) | — | 89.6% |
| CritPt | — | 14.3% |
| LiveBench Reasoning | 25.1% | — |
| Mystery Game Puzzles | — | 43% |
| DTBench | — | 89.9% |
| LiveBench Data Analysis | 34% | — |
| LMCA | — | 47% |
| Surface Evolver Bench | — | 46.3% |
| Epoch Capabilities Index | — | 154.9 |
| LiveBench | 29.6% | — |
Math DeepSeek V4.1 Flash leads
Amazon Nova Micro: 26.9 (#254), DeepSeek V4.1 Flash: 66.7 (#25)
| Benchmark | Amazon Nova Micro | DeepSeek V4.1 Flash |
|---|---|---|
| LMArena Math | 1206 | 1477 |
| FrontierMath (Tiers 1-3) | — | 67.4% |
| FrontierMath Tier 4 | — | 26.8% |
| OTIS Mock AIME 2024-2025 | — | 98.3% |
| ProofBench | — | 54% |
| Omni-MATH | 21.4% | — |
| LiveBench Math | 34.5% | — |
Knowledge DeepSeek V4.1 Flash leads
Amazon Nova Micro: 29.6 (#237), DeepSeek V4.1 Flash: 57.9 (#38)
| Benchmark | Amazon Nova Micro | DeepSeek V4.1 Flash |
|---|---|---|
| LMArena Expert | 1184 | 1506 |
| GPQA Diamond | — | 89.8% |
| MMLU-Pro | 51.1% | — |
| Vectara Hallucination Rate | 5.5% | — |
| GPQA (HELM) | 38.3% | — |
| MMLU | 70.8% | — |
Multimodal Not comparable
Amazon Nova Micro: —, DeepSeek V4.1 Flash: 39.1 (#61)
| Benchmark | Amazon Nova Micro | DeepSeek V4.1 Flash |
|---|---|---|
| LMArena Vision | — | 1277 |
| Furniture Assembly | — | 34.2% |
Multilingual DeepSeek V4.1 Flash leads
Amazon Nova Micro: 36.5 (#239), DeepSeek V4.1 Flash: 55.0 (#35)
| Benchmark | Amazon Nova Micro | DeepSeek V4.1 Flash |
|---|---|---|
| LMArena Non-English | 1186 | 1448 |
| LMArena Chinese | 1209 | 1497 |
| LMArena French | 1238 | 1452 |
| LMArena German | 1192 | 1484 |
| LMArena Japanese | 1154 | 1412 |
| LMArena Korean | 1150 | 1452 |
| LMArena Russian | 1185 | 1471 |
| LMArena Spanish | 1225 | 1459 |
Instruction Following DeepSeek V4.1 Flash leads
Amazon Nova Micro: 56.3 (#272), DeepSeek V4.1 Flash: 77.3 (#26)
| Benchmark | Amazon Nova Micro | DeepSeek V4.1 Flash |
|---|---|---|
| LMArena Instruction Following | 1174 | 1474 |
| LiveBench Instruction Following | 48% | — |
| IFEval | 76% | — |
Long Context DeepSeek V4.1 Flash leads
Amazon Nova Micro: 36.5 (#229), DeepSeek V4.1 Flash: 45.2 (#47)
| Benchmark | Amazon Nova Micro | DeepSeek V4.1 Flash |
|---|---|---|
| LMArena Longer Query | 1205 | 1475 |
Writing & Preference DeepSeek V4.1 Flash leads
Amazon Nova Micro: 39.5 (#247), DeepSeek V4.1 Flash: 65.4 (#48)
| Benchmark | Amazon Nova Micro | DeepSeek V4.1 Flash |
|---|---|---|
| LMArena Text | 1208 | 1462 |
| LMArena Creative Writing | 1172 | 1435 |
| LMArena Multi-Turn | 1178 | 1457 |
| EQ-Bench Creative Writing | — | 1540 |
| WildBench | 74.3% | — |
| LiveBench Language | 15.8% | — |
Frequently asked questions
Is Amazon Nova Micro better than DeepSeek V4.1 Flash?
DeepSeek V4.1 Flash is the stronger model overall, scoring 52.8 to 30.4 on the Noometry Index. Amazon Nova Micro costs 4.3× less per token, which makes it the better buy when DeepSeek V4.1 Flash's lead doesn't matter for your workload.
Which is cheaper, Amazon Nova Micro or DeepSeek V4.1 Flash?
Amazon Nova Micro is cheaper. It lists at $0.035 per million input tokens and $0.14 per million output tokens; DeepSeek V4.1 Flash lists at $0.15 and $0.60.
Is Amazon Nova Micro or DeepSeek V4.1 Flash better for coding?
DeepSeek V4.1 Flash scores higher on coding benchmarks: 52.9 versus 30.5 in the Noometry coding category.
Which has the bigger context window?
DeepSeek V4.1 Flash does, with 1M tokens against 128K.
How many benchmarks do Amazon Nova Micro and DeepSeek V4.1 Flash share?
17 benchmarks have published results for both models. Amazon Nova Micro has 32 scored results on Noometry and DeepSeek V4.1 Flash has 37.