# GPT-5.3 Chat vs Llama 3-8B

> GPT-5.3 Chat is the stronger model overall, scoring 42.1 to 25.3 on the Noometry Index. Llama 3-8B costs 34× less per token, which makes it the better buy when GPT-5.3 Chat's lead doesn't matter for your workload.

- Canonical page: https://noometry.com/compare/gpt-5-3-chat-vs-llama-3-8b
- Last updated: 2026-10-10
- Shared benchmarks: 17

## Summary

- They share 17 benchmarks with published results for both. GPT-5.3 Chat scores higher in 8 categories and Llama 3-8B in 0 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where GPT-5.3 Chat leads 38.2 to 7.8.
- Llama 3-8B is cheaper at $0.14 / $0.14 per million input/output tokens, against $1.75 / $14 for GPT-5.3 Chat.
- GPT-5.3 Chat accepts more context: 128K tokens versus 8K.
- Llama 3-8B has downloadable open weights; the other is API-only.

## Snapshot

| | GPT-5.3 Chat | Llama 3-8B |
|---|---|---|
| Provider | OpenAI | Meta |
| Noometry Index | 42.1 | 25.3 |
| Rank | 109 | 338 |
| Context | 128K | 8K |
| Input $/M | $1.75 | $0.14 |
| Output $/M | $14 | $0.14 |
| Weights | Proprietary | Open |

## Coding

- GPT-5.3 Chat: 40.8 (#124)
- Llama 3-8B: 30.5 (#285)

| Benchmark | GPT-5.3 Chat | Llama 3-8B |
|---|---|---|
| LMArena Coding | 1408 | 1152 |
| BigCodeBench Instruct | — | 31.9% |
| BigCodeBench Complete | — | 36.9% |
| HumanEval+ | — | 56.7% |
| MBPP+ | — | 54.8% |

## Reasoning

- GPT-5.3 Chat: 27.3 (#105)
- Llama 3-8B: 13.8 (#321)

| Benchmark | GPT-5.3 Chat | Llama 3-8B |
|---|---|---|
| LMArena Hard Prompts | 1399 | 1133 |
| Chess Puzzles | — | 0% |
| DTBench | — | 43.9% |
| Adversarial NLI | — | 57.3% |
| Epoch Capabilities Index | — | 116.33 |
| ForecastBench | — | 58.6 |
| WinoGrande | — | 75.7% |

## Math

- GPT-5.3 Chat: 35.4 (#146)
- Llama 3-8B: 8.3 (#317)

| Benchmark | GPT-5.3 Chat | Llama 3-8B |
|---|---|---|
| LMArena Math | 1389 | 1151 |
| OTIS Mock AIME 2024-2025 | — | 1.9% |
| MATH Level 5 | — | 6.1% |

## Knowledge

- GPT-5.3 Chat: 38.2 (#137)
- Llama 3-8B: 7.8 (#303)

| Benchmark | GPT-5.3 Chat | Llama 3-8B |
|---|---|---|
| LMArena Expert | 1397 | 1113 |
| GPQA Diamond | — | 26.1% |
| ARC (AI2) Challenge | — | 82.8% |
| MMLU | — | 68.8% |
| OpenBookQA | — | 82.6% |
| TriviaQA | — | 67.7% |

## Multilingual

- GPT-5.3 Chat: 50.5 (#119)
- Llama 3-8B: 31.0 (#256)

| Benchmark | GPT-5.3 Chat | Llama 3-8B |
|---|---|---|
| LMArena Non-English | 1383 | 1098 |
| LMArena Chinese | 1433 | 1076 |
| LMArena French | 1398 | 1158 |
| LMArena German | 1384 | 1104 |
| LMArena Japanese | 1351 | 967 |
| LMArena Korean | 1347 | 1003 |
| LMArena Russian | 1400 | 1109 |
| LMArena Spanish | 1371 | 1172 |

## Instruction Following

- GPT-5.3 Chat: 73.0 (#124)
- Llama 3-8B: 58.7 (#255)

| Benchmark | GPT-5.3 Chat | Llama 3-8B |
|---|---|---|
| LMArena Instruction Following | 1378 | 1127 |

## Long Context

- GPT-5.3 Chat: 42.6 (#115)
- Llama 3-8B: 34.2 (#246)

| Benchmark | GPT-5.3 Chat | Llama 3-8B |
|---|---|---|
| LMArena Longer Query | 1396 | 1128 |

## Writing & Preference

- GPT-5.3 Chat: 63.3 (#65)
- Llama 3-8B: 37.7 (#251)

| Benchmark | GPT-5.3 Chat | Llama 3-8B |
|---|---|---|
| LMArena Text | 1389 | 1166 |
| LMArena Creative Writing | 1356 | 1150 |
| LMArena Multi-Turn | 1413 | 1152 |
| EQ-Bench Creative Writing | 1690 | — |

## FAQ

### Is GPT-5.3 Chat better than Llama 3-8B?

GPT-5.3 Chat is the stronger model overall, scoring 42.1 to 25.3 on the Noometry Index. Llama 3-8B costs 34× less per token, which makes it the better buy when GPT-5.3 Chat's lead doesn't matter for your workload.

### Which is cheaper, GPT-5.3 Chat or Llama 3-8B?

Llama 3-8B is cheaper. It lists at $0.14 per million input tokens and $0.14 per million output tokens; GPT-5.3 Chat lists at $1.75 and $14.

### Is GPT-5.3 Chat or Llama 3-8B better for coding?

GPT-5.3 Chat scores higher on coding benchmarks: 40.8 versus 30.5 in the Noometry coding category.

### Which has the bigger context window?

GPT-5.3 Chat does, with 128K tokens against 8K.

### How many benchmarks do GPT-5.3 Chat and Llama 3-8B share?

17 benchmarks have published results for both models. GPT-5.3 Chat has 18 scored results on Noometry and Llama 3-8B has 34.