# Grok 4.7 vs Llama 3.2 1B

> Grok 4.7 is the stronger model overall, scoring 46.6 to 19.9 on the Noometry Index. Llama 3.2 1B costs 43× 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-3-2-1b
- Last updated: 2026-10-10
- Shared benchmarks: 13

## Summary

- They share 13 benchmarks with published results for both. Grok 4.7 scores higher in 8 categories and Llama 3.2 1B in 0 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where Grok 4.7 leads 70.1 to 21.4.
- Llama 3.2 1B is cheaper at $0.027 / $0.20 per million input/output tokens, against $2 / $6 for Grok 4.7.
- Grok 4.7 accepts more context: 500K tokens versus 60K.
- Llama 3.2 1B has downloadable open weights; the other is API-only.

## Snapshot

| | Grok 4.7 | Llama 3.2 1B |
|---|---|---|
| Provider | xAI | Meta |
| Noometry Index | 46.6 | 19.9 |
| Rank | 56 | 349 |
| Context | 500K | 60K |
| Input $/M | $2 | $0.027 |
| Output $/M | $6 | $0.20 |
| Weights | Proprietary | Open |

## Coding

- Grok 4.7: 55.0 (#23)
- Llama 3.2 1B: 20.6 (#333)

| Benchmark | Grok 4.7 | Llama 3.2 1B |
|---|---|---|
| LMArena Coding | 1423 | 1071 |
| CursorBench | 46.3% | — |
| LMArena WebDev | 1636 | — |
| FrontierSWE | 29.5% | — |
| SciCode | 57.4% | — |
| BigCodeBench Instruct | — | 8.2% |
| BigCodeBench Complete | — | 11.3% |

## Agentic & Tool Use

- Grok 4.7: —
- Llama 3.2 1B: 14.5 (#142)

| Benchmark | Grok 4.7 | Llama 3.2 1B |
|---|---|---|
| Berkeley Function Calling Leaderboard | — | 10.8% |
| BALROG | — | 6.6% |

## Reasoning

- Grok 4.7: 40.1 (#49)
- Llama 3.2 1B: 15.6 (#304)

| Benchmark | Grok 4.7 | Llama 3.2 1B |
|---|---|---|
| LMArena Hard Prompts | 1409 | 1044 |
| NYT Connections (extended) | 76.8% | — |
| CritPt | 17.7% | — |
| Chess Puzzles | — | 0% |
| Epoch Capabilities Index | — | 101.95 |

## Math

- Grok 4.7: 41.1 (#73)
- Llama 3.2 1B: 9.7 (#308)

| Benchmark | Grok 4.7 | Llama 3.2 1B |
|---|---|---|
| LMArena Math | 1393 | 1086 |
| OTIS Mock AIME 2024-2025 | — | 0.6% |
| ProofBench | 34% | — |

## Knowledge

- Grok 4.7: 38.7 (#130)
- Llama 3.2 1B: 7.2 (#307)

| Benchmark | Grok 4.7 | Llama 3.2 1B |
|---|---|---|
| LMArena Expert | 1413 | 1007 |
| GPQA Diamond | — | 23.9% |

## Multimodal

- Grok 4.7: 28.8 (#107)
- Llama 3.2 1B: —

| Benchmark | Grok 4.7 | Llama 3.2 1B |
|---|---|---|
| Furniture Assembly | 20.8% | — |

## Multilingual

- Grok 4.7: 51.2 (#108)
- Llama 3.2 1B: 23.9 (#287)

| Benchmark | Grok 4.7 | Llama 3.2 1B |
|---|---|---|
| LMArena Non-English | 1392 | 973 |
| LMArena Chinese | 1476 | 958 |
| LMArena Russian | 1396 | 941 |
| LMArena German | — | 1014 |

## Instruction Following

- Grok 4.7: 74.3 (#98)
- Llama 3.2 1B: 52.6 (#285)

| Benchmark | Grok 4.7 | Llama 3.2 1B |
|---|---|---|
| LMArena Instruction Following | 1406 | 1031 |

## Long Context

- Grok 4.7: 43.2 (#97)
- Llama 3.2 1B: 31.9 (#269)

| Benchmark | Grok 4.7 | Llama 3.2 1B |
|---|---|---|
| LMArena Longer Query | 1416 | 1050 |

## Writing & Preference

- Grok 4.7: 70.1 (#23)
- Llama 3.2 1B: 21.4 (#305)

| Benchmark | Grok 4.7 | Llama 3.2 1B |
|---|---|---|
| LMArena Text | 1397 | 1055 |
| LMArena Creative Writing | 1391 | 1033 |
| EQ-Bench Creative Writing | 2007 | 200 |
| LMArena Multi-Turn | 1389 | 1030 |

## FAQ

### Is Grok 4.7 better than Llama 3.2 1B?

Grok 4.7 is the stronger model overall, scoring 46.6 to 19.9 on the Noometry Index. Llama 3.2 1B costs 43× 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 3.2 1B?

Llama 3.2 1B is cheaper. It lists at $0.027 per million input tokens and $0.20 per million output tokens; Grok 4.7 lists at $2 and $6.

### Is Grok 4.7 or Llama 3.2 1B better for coding?

Grok 4.7 scores higher on coding benchmarks: 55.0 versus 20.6 in the Noometry coding category.

### Which has the bigger context window?

Grok 4.7 does, with 500K tokens against 60K.

### How many benchmarks do Grok 4.7 and Llama 3.2 1B share?

13 benchmarks have published results for both models. Grok 4.7 has 21 scored results on Noometry and Llama 3.2 1B has 22.