# Amazon Nova Pro vs Llama 3.1-70B

> Amazon Nova Pro is the stronger model overall, scoring 30.5 to 29.4 on the Noometry Index. Llama 3.1-70B costs 3.5× less per token, which makes it the better buy when Amazon Nova Pro's lead doesn't matter for your workload.

- Canonical page: https://noometry.com/compare/amazon-nova-pro-vs-llama-3-1-70b
- Last updated: 2026-10-10
- Shared benchmarks: 25

## Summary

- They share 25 benchmarks with published results for both. Amazon Nova Pro scores higher in 6 categories and Llama 3.1-70B in 3 categories; 6 gaps are clear of the uncertainty.
- The widest gap is in math, where Amazon Nova Pro leads 26.4 to 12.7.
- The biggest single-benchmark swing is TheAgentCompany: 1.7% for Amazon Nova Pro and 6.9% for Llama 3.1-70B.
- Llama 3.1-70B is cheaper at $0.40 / $0.40 per million input/output tokens, against $0.80 / $3.20 for Amazon Nova Pro.
- Amazon Nova Pro accepts more context: 300K tokens versus 128K.
- Llama 3.1-70B has downloadable open weights; the other is API-only.

## Snapshot

| | Amazon Nova Pro | Llama 3.1-70B |
|---|---|---|
| Provider | Amazon | Meta |
| Noometry Index | 30.5 | 29.4 |
| Rank | 278 | 299 |
| Context | 300K | 128K |
| Input $/M | $0.80 | $0.40 |
| Output $/M | $3.20 | $0.40 |
| Weights | Proprietary | Open |

## Coding

- Amazon Nova Pro: 34.6 (#224)
- Llama 3.1-70B: 29.8 (#292)

| Benchmark | Amazon Nova Pro | Llama 3.1-70B |
|---|---|---|
| LMArena Coding | 1270 | 1260 |
| WeirdML | — | 9% |
| BigCodeBench Instruct | — | 46.1% |
| LiveBench Coding | 38.1% | — |
| BigCodeBench Complete | — | 54.8% |

## Agentic & Tool Use

- Amazon Nova Pro: 16.6 (#139)
- Llama 3.1-70B: 24.9 (#104)

| Benchmark | Amazon Nova Pro | Llama 3.1-70B |
|---|---|---|
| TheAgentCompany | 1.7% | 6.9% |
| Berkeley Function Calling Leaderboard | 25% | — |
| BALROG | — | 27.9% |

## Reasoning

- Amazon Nova Pro: 19.2 (#240)
- Llama 3.1-70B: 20.8 (#215)

| Benchmark | Amazon Nova Pro | Llama 3.1-70B |
|---|---|---|
| LMArena Hard Prompts | 1246 | 1241 |
| Epoch Capabilities Index | 123.75 | 125.91 |
| LiveBench Reasoning | 32.6% | — |
| DTBench | — | 60% |
| LiveBench Data Analysis | 48.3% | — |
| LMCA | — | 14.8% |
| LiveBench | 43.5% | — |

## Math

- Amazon Nova Pro: 26.4 (#240)
- Llama 3.1-70B: 12.7 (#298)

| Benchmark | Amazon Nova Pro | Llama 3.1-70B |
|---|---|---|
| Omni-MATH | 24.2% | 21% |
| LMArena Math | 1252 | 1252 |
| OTIS Mock AIME 2024-2025 | — | 3.6% |
| LiveBench Math | 38% | — |
| MATH Level 5 | — | 36.7% |

## Knowledge

- Amazon Nova Pro: 27.1 (#246)
- Llama 3.1-70B: 24.1 (#264)

| Benchmark | Amazon Nova Pro | Llama 3.1-70B |
|---|---|---|
| MMLU-Pro | 67.3% | 65.3% |
| GPQA (HELM) | 44.6% | 42.6% |
| LMArena Expert | 1211 | 1209 |
| MMLU | 82% | 80.1% |
| GPQA Diamond | — | 44.2% |
| Humanity's Last Exam | 4.4% | — |
| Confabulations | 30.1% | — |
| Vectara Hallucination Rate | 5.1% | — |

## Multimodal

- Amazon Nova Pro: 24.5 (#121)
- Llama 3.1-70B: —

| Benchmark | Amazon Nova Pro | Llama 3.1-70B |
|---|---|---|
| LMArena Vision | 980 | — |

## Multilingual

- Amazon Nova Pro: 39.9 (#218)
- Llama 3.1-70B: 38.9 (#220)

| Benchmark | Amazon Nova Pro | Llama 3.1-70B |
|---|---|---|
| LMArena Non-English | 1234 | 1219 |
| LMArena Chinese | 1244 | 1215 |
| LMArena French | 1270 | 1260 |
| LMArena German | 1243 | 1222 |
| LMArena Japanese | 1200 | 1132 |
| LMArena Korean | 1203 | 1140 |
| LMArena Russian | 1240 | 1234 |
| LMArena Spanish | 1182 | 1253 |

## Instruction Following

- Amazon Nova Pro: 65.1 (#221)
- Llama 3.1-70B: 65.5 (#218)

| Benchmark | Amazon Nova Pro | Llama 3.1-70B |
|---|---|---|
| IFEval | 81.5% | 82.1% |
| LMArena Instruction Following | 1235 | 1231 |
| LiveBench Instruction Following | 67.1% | — |

## Long Context

- Amazon Nova Pro: 38.1 (#199)
- Llama 3.1-70B: 37.6 (#208)

| Benchmark | Amazon Nova Pro | Llama 3.1-70B |
|---|---|---|
| LMArena Longer Query | 1255 | 1241 |

## Writing & Preference

- Amazon Nova Pro: 44.1 (#221)
- Llama 3.1-70B: 35.6 (#262)

| Benchmark | Amazon Nova Pro | Llama 3.1-70B |
|---|---|---|
| LMArena Text | 1259 | 1261 |
| LMArena Creative Writing | 1212 | 1232 |
| WildBench | 77.7% | 75.8% |
| LMArena Multi-Turn | 1245 | 1256 |
| Short-Story Creative Writing | 60.5% | — |
| EQ-Bench Creative Writing | — | 784 |
| LiveBench Language | 37% | — |

## FAQ

### Is Amazon Nova Pro better than Llama 3.1-70B?

Amazon Nova Pro is the stronger model overall, scoring 30.5 to 29.4 on the Noometry Index. Llama 3.1-70B costs 3.5× less per token, which makes it the better buy when Amazon Nova Pro's lead doesn't matter for your workload.

### Which is cheaper, Amazon Nova Pro or Llama 3.1-70B?

Llama 3.1-70B is cheaper. It lists at $0.40 per million input tokens and $0.40 per million output tokens; Amazon Nova Pro lists at $0.80 and $3.20.

### Is Amazon Nova Pro or Llama 3.1-70B better for coding?

Amazon Nova Pro scores higher on coding benchmarks: 34.6 versus 29.8 in the Noometry coding category.

### Which has the bigger context window?

Amazon Nova Pro does, with 300K tokens against 128K.

### How many benchmarks do Amazon Nova Pro and Llama 3.1-70B share?

25 benchmarks have published results for both models. Amazon Nova Pro has 38 scored results on Noometry and Llama 3.1-70B has 35.