# Grok 4.7 vs Llama 3-8B

> Grok 4.7 is the stronger model overall, scoring 46.6 to 25.3 on the Noometry Index. Llama 3-8B costs 21× less per token, which makes it the better buy when Grok 4.7's lead doesn't matter for your workload.

- Canonical page: https://noometry.com/compare/grok-4-7-vs-llama-3-8b
- Last updated: 2026-10-10
- Shared benchmarks: 12

## Summary

- They share 12 benchmarks with published results for both. Grok 4.7 scores higher in 8 categories and Llama 3-8B in 0 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in math, where Grok 4.7 leads 41.1 to 8.3.
- Llama 3-8B is cheaper at $0.14 / $0.14 per million input/output tokens, against $2 / $6 for Grok 4.7.
- Grok 4.7 accepts more context: 500K tokens versus 8K.
- Llama 3-8B has downloadable open weights; the other is API-only.

## Snapshot

| | Grok 4.7 | Llama 3-8B |
|---|---|---|
| Provider | xAI | Meta |
| Noometry Index | 46.6 | 25.3 |
| Rank | 56 | 338 |
| Context | 500K | 8K |
| Input $/M | $2 | $0.14 |
| Output $/M | $6 | $0.14 |
| Weights | Proprietary | Open |

## Coding

- Grok 4.7: 55.0 (#23)
- Llama 3-8B: 30.5 (#285)

| Benchmark | Grok 4.7 | Llama 3-8B |
|---|---|---|
| LMArena Coding | 1423 | 1152 |
| CursorBench | 46.3% | — |
| LMArena WebDev | 1636 | — |
| FrontierSWE | 29.5% | — |
| SciCode | 57.4% | — |
| BigCodeBench Instruct | — | 31.9% |
| BigCodeBench Complete | — | 36.9% |
| HumanEval+ | — | 56.7% |
| MBPP+ | — | 54.8% |

## Reasoning

- Grok 4.7: 40.1 (#49)
- Llama 3-8B: 13.8 (#321)

| Benchmark | Grok 4.7 | Llama 3-8B |
|---|---|---|
| LMArena Hard Prompts | 1409 | 1133 |
| NYT Connections (extended) | 76.8% | — |
| CritPt | 17.7% | — |
| Chess Puzzles | — | 0% |
| DTBench | — | 43.9% |
| Adversarial NLI | — | 57.3% |
| Epoch Capabilities Index | — | 116.33 |
| ForecastBench | — | 58.6 |
| WinoGrande | — | 75.7% |

## Math

- Grok 4.7: 41.1 (#73)
- Llama 3-8B: 8.3 (#317)

| Benchmark | Grok 4.7 | Llama 3-8B |
|---|---|---|
| LMArena Math | 1393 | 1151 |
| OTIS Mock AIME 2024-2025 | — | 1.9% |
| ProofBench | 34% | — |
| MATH Level 5 | — | 6.1% |

## Knowledge

- Grok 4.7: 38.7 (#130)
- Llama 3-8B: 7.8 (#303)

| Benchmark | Grok 4.7 | Llama 3-8B |
|---|---|---|
| LMArena Expert | 1413 | 1113 |
| GPQA Diamond | — | 26.1% |
| ARC (AI2) Challenge | — | 82.8% |
| MMLU | — | 68.8% |
| OpenBookQA | — | 82.6% |
| TriviaQA | — | 67.7% |

## Multimodal

- Grok 4.7: 28.8 (#107)
- Llama 3-8B: —

| Benchmark | Grok 4.7 | Llama 3-8B |
|---|---|---|
| Furniture Assembly | 20.8% | — |

## Multilingual

- Grok 4.7: 51.2 (#108)
- Llama 3-8B: 31.0 (#256)

| Benchmark | Grok 4.7 | Llama 3-8B |
|---|---|---|
| LMArena Non-English | 1392 | 1098 |
| LMArena Chinese | 1476 | 1076 |
| LMArena Russian | 1396 | 1109 |
| LMArena French | — | 1158 |
| LMArena German | — | 1104 |
| LMArena Japanese | — | 967 |
| LMArena Korean | — | 1003 |
| LMArena Spanish | — | 1172 |

## Instruction Following

- Grok 4.7: 74.3 (#98)
- Llama 3-8B: 58.7 (#255)

| Benchmark | Grok 4.7 | Llama 3-8B |
|---|---|---|
| LMArena Instruction Following | 1406 | 1127 |

## Long Context

- Grok 4.7: 43.2 (#97)
- Llama 3-8B: 34.2 (#246)

| Benchmark | Grok 4.7 | Llama 3-8B |
|---|---|---|
| LMArena Longer Query | 1416 | 1128 |

## Writing & Preference

- Grok 4.7: 70.1 (#23)
- Llama 3-8B: 37.7 (#251)

| Benchmark | Grok 4.7 | Llama 3-8B |
|---|---|---|
| LMArena Text | 1397 | 1166 |
| LMArena Creative Writing | 1391 | 1150 |
| LMArena Multi-Turn | 1389 | 1152 |
| EQ-Bench Creative Writing | 2007 | — |

## FAQ

### Is Grok 4.7 better than Llama 3-8B?

Grok 4.7 is the stronger model overall, scoring 46.6 to 25.3 on the Noometry Index. Llama 3-8B costs 21× less per token, which makes it the better buy when Grok 4.7's lead doesn't matter for your workload.

### Which is cheaper, Grok 4.7 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; Grok 4.7 lists at $2 and $6.

### Is Grok 4.7 or Llama 3-8B better for coding?

Grok 4.7 scores higher on coding benchmarks: 55.0 versus 30.5 in the Noometry coding category.

### Which has the bigger context window?

Grok 4.7 does, with 500K tokens against 8K.

### How many benchmarks do Grok 4.7 and Llama 3-8B share?

12 benchmarks have published results for both models. Grok 4.7 has 21 scored results on Noometry and Llama 3-8B has 34.