# Amazon Nova Experimental Chat 11 10 vs Llama 2-70B

> Amazon Nova Experimental Chat 11 10 is the stronger model overall, scoring 43.0 to 24.4 on the Noometry Index.

- Canonical page: https://noometry.com/compare/amazon-nova-experimental-chat-11-10-vs-llama-2-70b
- Last updated: 2026-10-12
- Shared benchmarks: 17

## Summary

- They share 17 benchmarks with published results for both. Amazon Nova Experimental Chat 11 10 scores higher in 8 categories and Llama 2-70B in 0 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where Amazon Nova Experimental Chat 11 10 leads 39.9 to 7.4.
- Llama 2-70B has downloadable open weights; the other is API-only.

## Snapshot

| | Amazon Nova Experimental Chat 11 10 | Llama 2-70B |
|---|---|---|
| Provider | Amazon | Meta |
| Noometry Index | 43.0 | 24.4 |
| Rank | 101 | 349 |
| Context | — | — |
| Input $/M | — | — |
| Output $/M | — | — |
| Weights | Proprietary | Open |

## Coding

- Amazon Nova Experimental Chat 11 10: 42.3 (#107)
- Llama 2-70B: 31.4 (#286)

| Benchmark | Amazon Nova Experimental Chat 11 10 | Llama 2-70B |
|---|---|---|
| LMArena Coding | 1433 | 1079 |

## Reasoning

- Amazon Nova Experimental Chat 11 10: 29.1 (#95)
- Llama 2-70B: 14.4 (#325)

| Benchmark | Amazon Nova Experimental Chat 11 10 | Llama 2-70B |
|---|---|---|
| LMArena Hard Prompts | 1422 | 1073 |
| DTBench | — | 41.6% |
| BIG-Bench Hard | — | 64.9% |
| CommonsenseQA 2.0 | — | 50% |
| Epoch Capabilities Index | — | 113.79 |
| ForecastBench | — | 51.4 |
| HellaSwag | — | 85.3% |
| LAMBADA | — | 78.9% |
| PIQA | — | 82.8% |
| WinoGrande | — | 80.2% |

## Math

- Amazon Nova Experimental Chat 11 10: 39.1 (#114)
- Llama 2-70B: 8.1 (#326)

| Benchmark | Amazon Nova Experimental Chat 11 10 | Llama 2-70B |
|---|---|---|
| LMArena Math | 1431 | 1091 |
| OTIS Mock AIME 2024-2025 | — | 0% |
| MATH Level 5 | — | 3.3% |
| GSM8K | — | 69.6% |

## Knowledge

- Amazon Nova Experimental Chat 11 10: 39.9 (#127)
- Llama 2-70B: 7.4 (#310)

| Benchmark | Amazon Nova Experimental Chat 11 10 | Llama 2-70B |
|---|---|---|
| LMArena Expert | 1431 | 1039 |
| GPQA Diamond | — | 26.3% |
| ARC (AI2) Challenge | — | 78.3% |
| BoolQ | — | 88.6% |
| MMLU | — | 69.9% |
| OpenBookQA | — | 60.2% |
| TriviaQA | — | 87.6% |

## Multilingual

- Amazon Nova Experimental Chat 11 10: 51.9 (#98)
- Llama 2-70B: 27.7 (#274)

| Benchmark | Amazon Nova Experimental Chat 11 10 | Llama 2-70B |
|---|---|---|
| LMArena Non-English | 1405 | 1045 |
| LMArena Chinese | 1463 | 995 |
| LMArena French | 1449 | 1090 |
| LMArena German | 1395 | 1041 |
| LMArena Japanese | 1383 | 927 |
| LMArena Korean | 1384 | 964 |
| LMArena Russian | 1394 | 1083 |
| LMArena Spanish | 1444 | 1143 |

## Instruction Following

- Amazon Nova Experimental Chat 11 10: 73.2 (#122)
- Llama 2-70B: 54.9 (#278)

| Benchmark | Amazon Nova Experimental Chat 11 10 | Llama 2-70B |
|---|---|---|
| LMArena Instruction Following | 1387 | 1071 |

## Long Context

- Amazon Nova Experimental Chat 11 10: 42.5 (#121)
- Llama 2-70B: 32.3 (#270)

| Benchmark | Amazon Nova Experimental Chat 11 10 | Llama 2-70B |
|---|---|---|
| LMArena Longer Query | 1395 | 1062 |

## Writing & Preference

- Amazon Nova Experimental Chat 11 10: 58.8 (#114)
- Llama 2-70B: 32.3 (#279)

| Benchmark | Amazon Nova Experimental Chat 11 10 | Llama 2-70B |
|---|---|---|
| LMArena Text | 1415 | 1115 |
| LMArena Creative Writing | 1349 | 1075 |
| LMArena Multi-Turn | 1380 | 1088 |

## FAQ

### Is Amazon Nova Experimental Chat 11 10 better than Llama 2-70B?

Amazon Nova Experimental Chat 11 10 is the stronger model overall, scoring 43.0 to 24.4 on the Noometry Index.

### Is Amazon Nova Experimental Chat 11 10 or Llama 2-70B better for coding?

Amazon Nova Experimental Chat 11 10 scores higher on coding benchmarks: 42.3 versus 31.4 in the Noometry coding category.

### How many benchmarks do Amazon Nova Experimental Chat 11 10 and Llama 2-70B share?

17 benchmarks have published results for both models. Amazon Nova Experimental Chat 11 10 has 17 scored results on Noometry and Llama 2-70B has 35.