# Amazon Nova Micro vs DeepSeek-V3.1-Terminus

> DeepSeek-V3.1-Terminus is the stronger model overall, scoring 43.1 to 30.4 on the Noometry Index. Amazon Nova Micro costs 7.4× less per token, which makes it the better buy when DeepSeek-V3.1-Terminus's lead doesn't matter for your workload.

- Canonical page: https://noometry.com/compare/amazon-nova-micro-vs-deepseek-v3-1-terminus
- Last updated: 2026-10-11
- Shared benchmarks: 10

## Summary

- They share 10 benchmarks with published results for both. Amazon Nova Micro scores higher in 0 categories and DeepSeek-V3.1-Terminus in 7 categories; 7 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where DeepSeek-V3.1-Terminus leads 61.0 to 39.5.
- Amazon Nova Micro is cheaper at $0.035 / $0.14 per million input/output tokens, against $0.27 / $1 for DeepSeek-V3.1-Terminus.
- DeepSeek-V3.1-Terminus accepts more context: 164K tokens versus 128K.
- DeepSeek-V3.1-Terminus has downloadable open weights; the other is API-only.

## Snapshot

| | Amazon Nova Micro | DeepSeek-V3.1-Terminus |
|---|---|---|
| Provider | Amazon | DeepSeek |
| Noometry Index | 30.4 | 43.1 |
| Rank | 294 | 97 |
| Context | 128K | 164K |
| Input $/M | $0.035 | $0.27 |
| Output $/M | $0.14 | $1 |
| Weights | Proprietary | Open |

## Coding

- Amazon Nova Micro: 30.5 (#295)
- DeepSeek-V3.1-Terminus: 42.0 (#113)

| Benchmark | Amazon Nova Micro | DeepSeek-V3.1-Terminus |
|---|---|---|
| LMArena Coding | 1218 | 1426 |
| SciCode | — | 40.6% |
| LiveBench Coding | 20.2% | — |
| ALE-Bench | — | 745.17 |

## Agentic & Tool Use

- Amazon Nova Micro: 22.1 (#132)
- DeepSeek-V3.1-Terminus: —

| Benchmark | Amazon Nova Micro | DeepSeek-V3.1-Terminus |
|---|---|---|
| Berkeley Function Calling Leaderboard | 22.3% | — |

## Reasoning

- Amazon Nova Micro: 17.4 (#294)
- DeepSeek-V3.1-Terminus: 26.4 (#133)

| Benchmark | Amazon Nova Micro | DeepSeek-V3.1-Terminus |
|---|---|---|
| LMArena Hard Prompts | 1191 | 1426 |
| Kagi LLM Benchmark | — | 57.4% |
| CritPt | — | 1.7% |
| LiveBench Reasoning | 25.1% | — |
| DTBench | — | 81.3% |
| LiveBench Data Analysis | 34% | — |
| LMCA | — | 28.6% |
| LiveBench | 29.6% | — |

## Math

- Amazon Nova Micro: 26.9 (#254)
- DeepSeek-V3.1-Terminus: 38.5 (#137)

| Benchmark | Amazon Nova Micro | DeepSeek-V3.1-Terminus |
|---|---|---|
| LMArena Math | 1206 | 1402 |
| Omni-MATH | 21.4% | — |
| LiveBench Math | 34.5% | — |

## Knowledge

- Amazon Nova Micro: 29.6 (#237)
- DeepSeek-V3.1-Terminus: —

| Benchmark | Amazon Nova Micro | DeepSeek-V3.1-Terminus |
|---|---|---|
| MMLU-Pro | 51.1% | — |
| Vectara Hallucination Rate | 5.5% | — |
| GPQA (HELM) | 38.3% | — |
| LMArena Expert | 1184 | — |
| MMLU | 70.8% | — |

## Multilingual

- Amazon Nova Micro: 36.5 (#239)
- DeepSeek-V3.1-Terminus: 52.1 (#92)

| Benchmark | Amazon Nova Micro | DeepSeek-V3.1-Terminus |
|---|---|---|
| LMArena Non-English | 1186 | 1407 |
| LMArena Russian | 1185 | 1436 |
| LMArena Chinese | 1209 | — |
| LMArena French | 1238 | — |
| LMArena German | 1192 | — |
| LMArena Japanese | 1154 | — |
| LMArena Korean | 1150 | — |
| LMArena Spanish | 1225 | — |

## Instruction Following

- Amazon Nova Micro: 56.3 (#272)
- DeepSeek-V3.1-Terminus: 74.0 (#106)

| Benchmark | Amazon Nova Micro | DeepSeek-V3.1-Terminus |
|---|---|---|
| LMArena Instruction Following | 1174 | 1404 |
| LiveBench Instruction Following | 48% | — |
| IFEval | 76% | — |

## Long Context

- Amazon Nova Micro: 36.5 (#229)
- DeepSeek-V3.1-Terminus: 43.4 (#97)

| Benchmark | Amazon Nova Micro | DeepSeek-V3.1-Terminus |
|---|---|---|
| LMArena Longer Query | 1205 | 1421 |

## Writing & Preference

- Amazon Nova Micro: 39.5 (#247)
- DeepSeek-V3.1-Terminus: 61.0 (#92)

| Benchmark | Amazon Nova Micro | DeepSeek-V3.1-Terminus |
|---|---|---|
| LMArena Text | 1208 | 1419 |
| LMArena Creative Writing | 1172 | 1403 |
| LMArena Multi-Turn | 1178 | 1411 |
| WildBench | 74.3% | — |
| LiveBench Language | 15.8% | — |

## FAQ

### Is Amazon Nova Micro better than DeepSeek-V3.1-Terminus?

DeepSeek-V3.1-Terminus is the stronger model overall, scoring 43.1 to 30.4 on the Noometry Index. Amazon Nova Micro costs 7.4× less per token, which makes it the better buy when DeepSeek-V3.1-Terminus's lead doesn't matter for your workload.

### Which is cheaper, Amazon Nova Micro or DeepSeek-V3.1-Terminus?

Amazon Nova Micro is cheaper. It lists at $0.035 per million input tokens and $0.14 per million output tokens; DeepSeek-V3.1-Terminus lists at $0.27 and $1.

### Is Amazon Nova Micro or DeepSeek-V3.1-Terminus better for coding?

DeepSeek-V3.1-Terminus scores higher on coding benchmarks: 42.0 versus 30.5 in the Noometry coding category.

### Which has the bigger context window?

DeepSeek-V3.1-Terminus does, with 164K tokens against 128K.

### How many benchmarks do Amazon Nova Micro and DeepSeek-V3.1-Terminus share?

10 benchmarks have published results for both models. Amazon Nova Micro has 32 scored results on Noometry and DeepSeek-V3.1-Terminus has 16.