# Amazon Nova Micro vs Llama-3.3-70B-Instruct

> Amazon Nova Micro and Llama-3.3-70B-Instruct score almost the same on the Noometry Index (30.4 vs 30.6), so choose on price, context window or the category you care about most.

- Canonical page: https://noometry.com/compare/amazon-nova-micro-vs-llama-3-3-70b-instruct
- Last updated: 2026-10-11
- Shared benchmarks: 27

## Summary

- They share 27 benchmarks with published results for both. Amazon Nova Micro scores higher in 3 categories and Llama-3.3-70B-Instruct in 6 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in instruction following, where Llama-3.3-70B-Instruct leads 71.1 to 56.3.
- The biggest single-benchmark swing is LiveBench Instruction Following: 48% for Amazon Nova Micro and 82.7% for Llama-3.3-70B-Instruct.
- Amazon Nova Micro is cheaper at $0.035 / $0.14 per million input/output tokens, against $0.10 / $0.32 for Llama-3.3-70B-Instruct.
- Llama-3.3-70B-Instruct has downloadable open weights; the other is API-only.

## Snapshot

| | Amazon Nova Micro | Llama-3.3-70B-Instruct |
|---|---|---|
| Provider | Amazon | Meta |
| Noometry Index | 30.4 | 30.6 |
| Rank | 294 | 291 |
| Context | 128K | 128K |
| Input $/M | $0.035 | $0.10 |
| Output $/M | $0.14 | $0.32 |
| Weights | Proprietary | Open |

## Coding

- Amazon Nova Micro: 30.5 (#295)
- Llama-3.3-70B-Instruct: 31.0 (#290)

| Benchmark | Amazon Nova Micro | Llama-3.3-70B-Instruct |
|---|---|---|
| LiveBench Coding | 20.2% | 36.6% |
| LMArena Coding | 1218 | 1268 |
| SciCode | — | 26% |
| WeirdML | — | 14.4% |
| BigCodeBench Instruct | — | 46.9% |
| BigCodeBench Complete | — | 57.5% |

## Agentic & Tool Use

- Amazon Nova Micro: 22.1 (#132)
- Llama-3.3-70B-Instruct: 25.8 (#105)

| Benchmark | Amazon Nova Micro | Llama-3.3-70B-Instruct |
|---|---|---|
| Berkeley Function Calling Leaderboard | 22.3% | 31.9% |
| BALROG | — | 23% |

## Reasoning

- Amazon Nova Micro: 17.4 (#294)
- Llama-3.3-70B-Instruct: 14.1 (#327)

| Benchmark | Amazon Nova Micro | Llama-3.3-70B-Instruct |
|---|---|---|
| LiveBench Reasoning | 25.1% | 50.8% |
| LMArena Hard Prompts | 1191 | 1257 |
| LiveBench Data Analysis | 34% | 49.5% |
| LiveBench | 29.6% | 50.2% |
| SimpleBench | — | 19.9% |
| CritPt | — | 0% |
| DTBench | — | 59.5% |
| LMCA | — | 17.5% |
| Epoch Capabilities Index | — | 127.33 |
| ForecastBench | — | 58.6 |

## Math

- Amazon Nova Micro: 26.9 (#254)
- Llama-3.3-70B-Instruct: 15.3 (#298)

| Benchmark | Amazon Nova Micro | Llama-3.3-70B-Instruct |
|---|---|---|
| LiveBench Math | 34.5% | 42.2% |
| LMArena Math | 1206 | 1267 |
| OTIS Mock AIME 2024-2025 | — | 5.1% |
| Omni-MATH | 21.4% | — |
| MATH Level 5 | — | 41.6% |

## Knowledge

- Amazon Nova Micro: 29.6 (#237)
- Llama-3.3-70B-Instruct: 30.6 (#226)

| Benchmark | Amazon Nova Micro | Llama-3.3-70B-Instruct |
|---|---|---|
| Vectara Hallucination Rate | 5.5% | 4.1% |
| LMArena Expert | 1184 | 1225 |
| MMLU | 70.8% | 86.3% |
| GPQA Diamond | — | 47.4% |
| MMLU-Pro | 51.1% | — |
| Confabulations | — | 22.8% |
| GPQA (HELM) | 38.3% | — |

## Multilingual

- Amazon Nova Micro: 36.5 (#239)
- Llama-3.3-70B-Instruct: 39.9 (#220)

| Benchmark | Amazon Nova Micro | Llama-3.3-70B-Instruct |
|---|---|---|
| LMArena Non-English | 1186 | 1236 |
| LMArena Chinese | 1209 | 1217 |
| LMArena French | 1238 | 1281 |
| LMArena German | 1192 | 1251 |
| LMArena Japanese | 1154 | 1150 |
| LMArena Korean | 1150 | 1143 |
| LMArena Russian | 1185 | 1252 |
| LMArena Spanish | 1225 | 1270 |

## Instruction Following

- Amazon Nova Micro: 56.3 (#272)
- Llama-3.3-70B-Instruct: 71.1 (#157)

| Benchmark | Amazon Nova Micro | Llama-3.3-70B-Instruct |
|---|---|---|
| LiveBench Instruction Following | 48% | 82.7% |
| LMArena Instruction Following | 1174 | 1242 |
| IFEval | 76% | — |

## Long Context

- Amazon Nova Micro: 36.5 (#229)
- Llama-3.3-70B-Instruct: 26.4 (#295)

| Benchmark | Amazon Nova Micro | Llama-3.3-70B-Instruct |
|---|---|---|
| LMArena Longer Query | 1205 | 1256 |
| Fiction.LiveBench | — | 33.3% |

## Writing & Preference

- Amazon Nova Micro: 39.5 (#247)
- Llama-3.3-70B-Instruct: 47.6 (#207)

| Benchmark | Amazon Nova Micro | Llama-3.3-70B-Instruct |
|---|---|---|
| LMArena Text | 1208 | 1274 |
| LMArena Creative Writing | 1172 | 1250 |
| LMArena Multi-Turn | 1178 | 1280 |
| LiveBench Language | 15.8% | 39.2% |
| WildBench | 74.3% | — |

## FAQ

### Is Amazon Nova Micro better than Llama-3.3-70B-Instruct?

Amazon Nova Micro and Llama-3.3-70B-Instruct score almost the same on the Noometry Index (30.4 vs 30.6), so choose on price, context window or the category you care about most.

### Which is cheaper, Amazon Nova Micro or Llama-3.3-70B-Instruct?

Amazon Nova Micro is cheaper. It lists at $0.035 per million input tokens and $0.14 per million output tokens; Llama-3.3-70B-Instruct lists at $0.10 and $0.32.

### Is Amazon Nova Micro or Llama-3.3-70B-Instruct better for coding?

They score almost the same on coding (30.5 vs 31.0); test both on your own repository before choosing.

### Which has the bigger context window?

Both accept 128K tokens.

### How many benchmarks do Amazon Nova Micro and Llama-3.3-70B-Instruct share?

27 benchmarks have published results for both models. Amazon Nova Micro has 32 scored results on Noometry and Llama-3.3-70B-Instruct has 43.