# GPT-4 Turbo vs Llama 2-13B

> GPT-4 Turbo and Llama 2-13B score almost the same on the Noometry Index (30.5 vs 29.6), so choose on price, context window or the category you care about most.

- Canonical page: https://noometry.com/compare/gpt-4-turbo-vs-llama-2-13b
- Last updated: 2026-10-10
- Shared benchmarks: 21

## Summary

- They share 21 benchmarks with published results for both. GPT-4 Turbo scores higher in 6 categories and Llama 2-13B in 2 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in math, where Llama 2-13B leads 31.1 to 9.0.
- The biggest single-benchmark swing is DTBench: 61.6% for GPT-4 Turbo and 42.2% for Llama 2-13B.
- Llama 2-13B has downloadable open weights; the other is API-only.

## Snapshot

| | GPT-4 Turbo | Llama 2-13B |
|---|---|---|
| Provider | OpenAI | Meta |
| Noometry Index | 30.5 | 29.6 |
| Rank | 292 | 309 |
| Context | 128K | — |
| Input $/M | $10 | — |
| Output $/M | $30 | — |
| Weights | Proprietary | Open |

## Coding

- GPT-4 Turbo: 33.8 (#249)
- Llama 2-13B: 30.9 (#291)

| Benchmark | GPT-4 Turbo | Llama 2-13B |
|---|---|---|
| LMArena Coding | 1268 | 1062 |
| WeirdML | 18% | — |
| BigCodeBench Instruct | 48.2% | — |
| BigCodeBench Complete | 58.2% | — |
| HumanEval+ | 86.6% | — |
| MBPP+ | 73.3% | — |

## Agentic & Tool Use

- GPT-4 Turbo: —
- Llama 2-13B: —

| Benchmark | GPT-4 Turbo | Llama 2-13B |
|---|---|---|
| METR Time Horizons | 36.7% | — |

## Reasoning

- GPT-4 Turbo: 15.3 (#317)
- Llama 2-13B: 12.8 (#337)

| Benchmark | GPT-4 Turbo | Llama 2-13B |
|---|---|---|
| Chess Puzzles | 6% | 0% |
| LMArena Hard Prompts | 1251 | 1051 |
| DTBench | 61.6% | 42.2% |
| Epoch Capabilities Index | 127.25 | 106.17 |
| SimpleBench | 25.1% | — |
| LMCA | 9.8% | — |
| BIG-Bench Hard | — | 58.2% |
| ForecastBench | 59.4 | — |
| HellaSwag | — | 80.7% |
| LAMBADA | — | 76.5% |
| PIQA | — | 80.8% |
| WinoGrande | — | 72.8% |

## Math

- GPT-4 Turbo: 9.0 (#322)
- Llama 2-13B: 31.1 (#229)

| Benchmark | GPT-4 Turbo | Llama 2-13B |
|---|---|---|
| LMArena Math | 1272 | 1065 |
| FrontierMath (Tiers 1-3) | 0.7% | — |
| OTIS Mock AIME 2024-2025 | 6.7% | — |
| MATH Level 5 | 46.7% | — |
| GSM8K | — | 36.9% |

## Knowledge

- GPT-4 Turbo: 24.3 (#268)
- Llama 2-13B: 28.1 (#249)

| Benchmark | GPT-4 Turbo | Llama 2-13B |
|---|---|---|
| LMArena Expert | 1223 | 1030 |
| MMLU | 81.3% | 55.6% |
| GPQA Diamond | 46.6% | — |
| Confabulations | 28.4% | — |
| ARC (AI2) Challenge | — | 60.3% |
| BoolQ | — | 82.4% |
| OpenBookQA | — | 57% |
| TriviaQA | — | 79.6% |

## Multimodal

- GPT-4 Turbo: 30.6 (#110)
- Llama 2-13B: —

| Benchmark | GPT-4 Turbo | Llama 2-13B |
|---|---|---|
| LMArena Vision | 1090 | — |
| ScienceQA | — | 55.8% |

## Multilingual

- GPT-4 Turbo: 40.5 (#216)
- Llama 2-13B: 26.5 (#279)

| Benchmark | GPT-4 Turbo | Llama 2-13B |
|---|---|---|
| LMArena Non-English | 1245 | 1024 |
| LMArena Chinese | 1242 | 1001 |
| LMArena French | 1276 | 1044 |
| LMArena German | 1259 | 1009 |
| LMArena Japanese | 1194 | 894 |
| LMArena Korean | 1187 | 953 |
| LMArena Russian | 1259 | 1055 |
| LMArena Spanish | 1260 | 1087 |

## Instruction Following

- GPT-4 Turbo: 65.8 (#216)
- Llama 2-13B: 53.3 (#287)

| Benchmark | GPT-4 Turbo | Llama 2-13B |
|---|---|---|
| LMArena Instruction Following | 1249 | 1045 |

## Long Context

- GPT-4 Turbo: 38.0 (#206)
- Llama 2-13B: 32.3 (#269)

| Benchmark | GPT-4 Turbo | Llama 2-13B |
|---|---|---|
| LMArena Longer Query | 1254 | 1064 |

## Writing & Preference

- GPT-4 Turbo: 47.7 (#206)
- Llama 2-13B: 29.8 (#289)

| Benchmark | GPT-4 Turbo | Llama 2-13B |
|---|---|---|
| LMArena Text | 1272 | 1084 |
| LMArena Creative Writing | 1269 | 1047 |
| LMArena Multi-Turn | 1267 | 1050 |

## FAQ

### Is GPT-4 Turbo better than Llama 2-13B?

GPT-4 Turbo and Llama 2-13B score almost the same on the Noometry Index (30.5 vs 29.6), so choose on price, context window or the category you care about most.

### Is GPT-4 Turbo or Llama 2-13B better for coding?

GPT-4 Turbo scores higher on coding benchmarks: 33.8 versus 30.9 in the Noometry coding category.

### How many benchmarks do GPT-4 Turbo and Llama 2-13B share?

21 benchmarks have published results for both models. GPT-4 Turbo has 36 scored results on Noometry and Llama 2-13B has 32.