Model comparison
Amazon Nova Micro vs DeepSeek-V3.2-Speciale
DeepSeek-V3.2-Speciale is the stronger model overall, scoring 39.7 to 30.4 on the Noometry Index. Amazon Nova Micro costs 14× less per token, which makes it the better buy when DeepSeek-V3.2-Speciale's lead doesn't matter for your workload.
Last verified . 0 shared benchmarks.
DeepSeekSummary
- The widest gap is in reasoning, where DeepSeek-V3.2-Speciale leads 32.9 to 17.4.
- Amazon Nova Micro is cheaper at $0.035 / $0.14 per million input/output tokens, against $0.58 / $1.68 for DeepSeek-V3.2-Speciale.
- DeepSeek-V3.2-Speciale has downloadable open weights; the other is API-only.
Side by side
| Amazon Nova Micro | DeepSeek-V3.2-Speciale | |
|---|---|---|
| Provider | Amazon | DeepSeek |
| Noometry Index | 30.4 | 39.7 |
| Released | 2024-12-03 | 2025-12-01 |
| Weights | Proprietary | Open |
| Context window | 128K | 128K |
| Max output | 10K | 128K |
| Input $ / M tokens | $0.035 | $0.58 |
| Output $ / M tokens | $0.14 | $1.68 |
| Results tracked | 32 | 3 |
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Category by category
Coding DeepSeek-V3.2-Speciale leads
Amazon Nova Micro: 30.5 (#295), DeepSeek-V3.2-Speciale: 40.4 (#140)
| Benchmark | Amazon Nova Micro | DeepSeek-V3.2-Speciale |
|---|---|---|
| WeirdML | — | 46.7% |
| LiveBench Coding | 20.2% | — |
| LMArena Coding | 1218 | — |
Agentic & Tool Use Not comparable
Amazon Nova Micro: 22.1 (#132), DeepSeek-V3.2-Speciale: —
| Benchmark | Amazon Nova Micro | DeepSeek-V3.2-Speciale |
|---|---|---|
| Berkeley Function Calling Leaderboard | 22.3% | — |
Reasoning DeepSeek-V3.2-Speciale leads
Amazon Nova Micro: 17.4 (#294), DeepSeek-V3.2-Speciale: 32.9 (#73)
| Benchmark | Amazon Nova Micro | DeepSeek-V3.2-Speciale |
|---|---|---|
| SimpleBench | — | 52.6% |
| LiveBench Reasoning | 25.1% | — |
| LMArena Hard Prompts | 1191 | — |
| LiveBench Data Analysis | 34% | — |
| LiveBench | 29.6% | — |
Math Not comparable
Amazon Nova Micro: 26.9 (#254), DeepSeek-V3.2-Speciale: —
| Benchmark | Amazon Nova Micro | DeepSeek-V3.2-Speciale |
|---|---|---|
| Omni-MATH | 21.4% | — |
| LiveBench Math | 34.5% | — |
| LMArena Math | 1206 | — |
Knowledge Not comparable
Amazon Nova Micro: 29.6 (#237), DeepSeek-V3.2-Speciale: —
| Benchmark | Amazon Nova Micro | DeepSeek-V3.2-Speciale |
|---|---|---|
| MMLU-Pro | 51.1% | — |
| Vectara Hallucination Rate | 5.5% | — |
| GPQA (HELM) | 38.3% | — |
| LMArena Expert | 1184 | — |
| MMLU | 70.8% | — |
Multilingual Not comparable
Amazon Nova Micro: 36.5 (#239), DeepSeek-V3.2-Speciale: —
| Benchmark | Amazon Nova Micro | DeepSeek-V3.2-Speciale |
|---|---|---|
| LMArena Non-English | 1186 | — |
| LMArena Chinese | 1209 | — |
| LMArena French | 1238 | — |
| LMArena German | 1192 | — |
| LMArena Japanese | 1154 | — |
| LMArena Korean | 1150 | — |
| LMArena Russian | 1185 | — |
| LMArena Spanish | 1225 | — |
Instruction Following Not comparable
Amazon Nova Micro: 56.3 (#272), DeepSeek-V3.2-Speciale: —
| Benchmark | Amazon Nova Micro | DeepSeek-V3.2-Speciale |
|---|---|---|
| LiveBench Instruction Following | 48% | — |
| IFEval | 76% | — |
| LMArena Instruction Following | 1174 | — |
Long Context Not comparable
Amazon Nova Micro: 36.5 (#229), DeepSeek-V3.2-Speciale: —
| Benchmark | Amazon Nova Micro | DeepSeek-V3.2-Speciale |
|---|---|---|
| LMArena Longer Query | 1205 | — |
Writing & Preference DeepSeek-V3.2-Speciale leads
Amazon Nova Micro: 39.5 (#247), DeepSeek-V3.2-Speciale: 46.0 (#222)
| Benchmark | Amazon Nova Micro | DeepSeek-V3.2-Speciale |
|---|---|---|
| LMArena Text | 1208 | — |
| LMArena Creative Writing | 1172 | — |
| EQ-Bench Creative Writing | — | 1276 |
| WildBench | 74.3% | — |
| LMArena Multi-Turn | 1178 | — |
| LiveBench Language | 15.8% | — |
Frequently asked questions
Is Amazon Nova Micro better than DeepSeek-V3.2-Speciale?
DeepSeek-V3.2-Speciale is the stronger model overall, scoring 39.7 to 30.4 on the Noometry Index. Amazon Nova Micro costs 14× less per token, which makes it the better buy when DeepSeek-V3.2-Speciale's lead doesn't matter for your workload.
Which is cheaper, Amazon Nova Micro or DeepSeek-V3.2-Speciale?
Amazon Nova Micro is cheaper. It lists at $0.035 per million input tokens and $0.14 per million output tokens; DeepSeek-V3.2-Speciale lists at $0.58 and $1.68.
Is Amazon Nova Micro or DeepSeek-V3.2-Speciale better for coding?
DeepSeek-V3.2-Speciale scores higher on coding benchmarks: 40.4 versus 30.5 in the Noometry coding category.
Which has the bigger context window?
Both accept 128K tokens.
How many benchmarks do Amazon Nova Micro and DeepSeek-V3.2-Speciale share?
0 benchmarks have published results for both models. Amazon Nova Micro has 32 scored results on Noometry and DeepSeek-V3.2-Speciale has 3.