# GPT-5.3 Chat vs Llama 2-7B

> GPT-5.3 Chat is the stronger model overall, scoring 42.1 to 28.6 on the Noometry Index.

- Canonical page: https://noometry.com/compare/gpt-5-3-chat-vs-llama-2-7b
- Last updated: 2026-10-10
- Shared benchmarks: 15

## Summary

- They share 15 benchmarks with published results for both. GPT-5.3 Chat scores higher in 8 categories and Llama 2-7B in 0 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where GPT-5.3 Chat leads 63.3 to 28.1.
- Llama 2-7B has downloadable open weights; the other is API-only.

## Snapshot

| | GPT-5.3 Chat | Llama 2-7B |
|---|---|---|
| Provider | OpenAI | Meta |
| Noometry Index | 42.1 | 28.6 |
| Rank | 109 | 315 |
| Context | 128K | — |
| Input $/M | $1.75 | — |
| Output $/M | $14 | — |
| Weights | Proprietary | Open |

## Coding

- GPT-5.3 Chat: 40.8 (#124)
- Llama 2-7B: 28.7 (#302)

| Benchmark | GPT-5.3 Chat | Llama 2-7B |
|---|---|---|
| LMArena Coding | 1408 | 1002 |

## Reasoning

- GPT-5.3 Chat: 27.3 (#105)
- Llama 2-7B: 15.1 (#309)

| Benchmark | GPT-5.3 Chat | Llama 2-7B |
|---|---|---|
| LMArena Hard Prompts | 1399 | 1009 |
| Chess Puzzles | — | 0% |
| BIG-Bench Hard | — | 39.2% |
| Epoch Capabilities Index | — | 98.54 |
| HellaSwag | — | 77.2% |
| LAMBADA | — | 73.3% |
| PIQA | — | 78.8% |
| WinoGrande | — | 69.2% |

## Math

- GPT-5.3 Chat: 35.4 (#146)
- Llama 2-7B: 28.2 (#231)

| Benchmark | GPT-5.3 Chat | Llama 2-7B |
|---|---|---|
| LMArena Math | 1389 | 1042 |
| GSM8K | — | 16.7% |

## Knowledge

- GPT-5.3 Chat: 38.2 (#137)
- Llama 2-7B: 27.7 (#243)

| Benchmark | GPT-5.3 Chat | Llama 2-7B |
|---|---|---|
| LMArena Expert | 1397 | 1036 |
| ARC (AI2) Challenge | — | 45.9% |
| BoolQ | — | 77.9% |
| MMLU | — | 45.8% |
| OpenBookQA | — | 58.6% |
| TriviaQA | — | 73.7% |

## Multimodal

- GPT-5.3 Chat: —
- Llama 2-7B: —

| Benchmark | GPT-5.3 Chat | Llama 2-7B |
|---|---|---|
| ScienceQA | — | 43.1% |

## Multilingual

- GPT-5.3 Chat: 50.5 (#119)
- Llama 2-7B: 23.9 (#288)

| Benchmark | GPT-5.3 Chat | Llama 2-7B |
|---|---|---|
| LMArena Non-English | 1383 | 973 |
| LMArena Chinese | 1433 | 973 |
| LMArena French | 1398 | 969 |
| LMArena German | 1384 | 978 |
| LMArena Russian | 1400 | 995 |
| LMArena Spanish | 1371 | 1007 |
| LMArena Japanese | 1351 | — |
| LMArena Korean | 1347 | — |

## Instruction Following

- GPT-5.3 Chat: 73.0 (#124)
- Llama 2-7B: 51.0 (#293)

| Benchmark | GPT-5.3 Chat | Llama 2-7B |
|---|---|---|
| LMArena Instruction Following | 1378 | 1006 |

## Long Context

- GPT-5.3 Chat: 42.6 (#115)
- Llama 2-7B: 30.4 (#282)

| Benchmark | GPT-5.3 Chat | Llama 2-7B |
|---|---|---|
| LMArena Longer Query | 1396 | 999 |

## Writing & Preference

- GPT-5.3 Chat: 63.3 (#65)
- Llama 2-7B: 28.1 (#293)

| Benchmark | GPT-5.3 Chat | Llama 2-7B |
|---|---|---|
| LMArena Text | 1389 | 1053 |
| LMArena Creative Writing | 1356 | 1033 |
| LMArena Multi-Turn | 1413 | 1029 |
| EQ-Bench Creative Writing | 1690 | — |

## FAQ

### Is GPT-5.3 Chat better than Llama 2-7B?

GPT-5.3 Chat is the stronger model overall, scoring 42.1 to 28.6 on the Noometry Index.

### Is GPT-5.3 Chat or Llama 2-7B better for coding?

GPT-5.3 Chat scores higher on coding benchmarks: 40.8 versus 28.7 in the Noometry coding category.

### How many benchmarks do GPT-5.3 Chat and Llama 2-7B share?

15 benchmarks have published results for both models. GPT-5.3 Chat has 18 scored results on Noometry and Llama 2-7B has 29.