# Grok 4.3 vs Llama 3-8B

> Grok 4.3 is the stronger model overall, scoring 43.6 to 25.3 on the Noometry Index. Llama 3-8B costs 11× less per token, which makes it the better buy when Grok 4.3's lead doesn't matter for your workload.

- Canonical page: https://noometry.com/compare/grok-4-3-vs-llama-3-8b
- Last updated: 2026-10-10
- Shared benchmarks: 23

## Summary

- They share 23 benchmarks with published results for both. Grok 4.3 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 Grok 4.3 leads 52.5 to 7.8.
- The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 93.3% for Grok 4.3 and 1.9% for Llama 3-8B.
- Llama 3-8B is cheaper at $0.14 / $0.14 per million input/output tokens, against $1.25 / $2.50 for Grok 4.3.
- Grok 4.3 accepts more context: 1M tokens versus 8K.
- Llama 3-8B has downloadable open weights; the other is API-only.

## Snapshot

| | Grok 4.3 | Llama 3-8B |
|---|---|---|
| Provider | xAI | Meta |
| Noometry Index | 43.6 | 25.3 |
| Rank | 80 | 338 |
| Context | 1M | 8K |
| Input $/M | $1.25 | $0.14 |
| Output $/M | $2.50 | $0.14 |
| Weights | Proprietary | Open |

## Coding

- Grok 4.3: 41.3 (#117)
- Llama 3-8B: 30.5 (#285)

| Benchmark | Grok 4.3 | Llama 3-8B |
|---|---|---|
| LMArena Coding | 1415 | 1152 |
| LMArena WebDev | 1357 | — |
| SciCode | 47.3% | — |
| WeirdML | 49.9% | — |
| BigCodeBench Instruct | — | 31.9% |
| BigCodeBench Complete | — | 36.9% |
| ALE-Bench | 944.17 | — |
| HumanEval+ | — | 56.7% |
| MBPP+ | — | 54.8% |

## Agentic & Tool Use

- Grok 4.3: 27.6 (#93)
- Llama 3-8B: —

| Benchmark | Grok 4.3 | Llama 3-8B |
|---|---|---|
| GDP.pdf | 8% | — |
| LMArena Search | 1165 | — |
| Vending-Bench 2 | 35.26 | — |

## Reasoning

- Grok 4.3: 34.9 (#60)
- Llama 3-8B: 13.8 (#321)

| Benchmark | Grok 4.3 | Llama 3-8B |
|---|---|---|
| Chess Puzzles | 25% | 0% |
| LMArena Hard Prompts | 1397 | 1133 |
| DTBench | 90.7% | 43.9% |
| Epoch Capabilities Index | 149.13 | 116.33 |
| ForecastBench | 60.3 | 58.6 |
| NYT Connections (extended) | 55.2% | — |
| CritPt | 8% | — |
| LMCA | 38.3% | — |
| Adversarial NLI | — | 57.3% |
| WinoGrande | — | 75.7% |

## Math

- Grok 4.3: 45.8 (#60)
- Llama 3-8B: 8.3 (#317)

| Benchmark | Grok 4.3 | Llama 3-8B |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 93.3% | 1.9% |
| LMArena Math | 1388 | 1151 |
| FrontierMath (Tiers 1-3) | 42.8% | — |
| FrontierMath Tier 4 | 14.6% | — |
| ProofBench | 11% | — |
| MATH Level 5 | — | 6.1% |

## Knowledge

- Grok 4.3: 52.5 (#57)
- Llama 3-8B: 7.8 (#303)

| Benchmark | Grok 4.3 | Llama 3-8B |
|---|---|---|
| GPQA Diamond | 88.8% | 26.1% |
| LMArena Expert | 1385 | 1113 |
| SimpleQA Verified | 33.2% | — |
| ARC (AI2) Challenge | — | 82.8% |
| MMLU | — | 68.8% |
| OpenBookQA | — | 82.6% |
| TriviaQA | — | 67.7% |

## Multimodal

- Grok 4.3: 31.6 (#96)
- Llama 3-8B: —

| Benchmark | Grok 4.3 | Llama 3-8B |
|---|---|---|
| LMArena Vision | 1231 | — |
| Blueprint-Bench 2 | 0% | — |

## Multilingual

- Grok 4.3: 50.7 (#114)
- Llama 3-8B: 31.0 (#256)

| Benchmark | Grok 4.3 | Llama 3-8B |
|---|---|---|
| LMArena Non-English | 1385 | 1098 |
| LMArena Chinese | 1423 | 1076 |
| LMArena French | 1412 | 1158 |
| LMArena German | 1395 | 1104 |
| LMArena Japanese | 1379 | 967 |
| LMArena Korean | 1357 | 1003 |
| LMArena Russian | 1399 | 1109 |
| LMArena Spanish | 1402 | 1172 |

## Instruction Following

- Grok 4.3: 72.3 (#135)
- Llama 3-8B: 58.7 (#255)

| Benchmark | Grok 4.3 | Llama 3-8B |
|---|---|---|
| LMArena Instruction Following | 1366 | 1127 |

## Long Context

- Grok 4.3: 42.5 (#118)
- Llama 3-8B: 34.2 (#246)

| Benchmark | Grok 4.3 | Llama 3-8B |
|---|---|---|
| LMArena Longer Query | 1393 | 1128 |

## Writing & Preference

- Grok 4.3: 58.6 (#112)
- Llama 3-8B: 37.7 (#251)

| Benchmark | Grok 4.3 | Llama 3-8B |
|---|---|---|
| LMArena Text | 1397 | 1166 |
| LMArena Creative Writing | 1380 | 1150 |
| LMArena Multi-Turn | 1406 | 1152 |
| EQ-Bench 4 | 1075 | — |

## FAQ

### Is Grok 4.3 better than Llama 3-8B?

Grok 4.3 is the stronger model overall, scoring 43.6 to 25.3 on the Noometry Index. Llama 3-8B costs 11× less per token, which makes it the better buy when Grok 4.3's lead doesn't matter for your workload.

### Which is cheaper, Grok 4.3 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 4.3 lists at $1.25 and $2.50.

### Is Grok 4.3 or Llama 3-8B better for coding?

Grok 4.3 scores higher on coding benchmarks: 41.3 versus 30.5 in the Noometry coding category.

### Which has the bigger context window?

Grok 4.3 does, with 1M tokens against 8K.

### How many benchmarks do Grok 4.3 and Llama 3-8B share?

23 benchmarks have published results for both models. Grok 4.3 has 40 scored results on Noometry and Llama 3-8B has 34.