# Grok 4 Fast vs Qwen2.5 7B Instruct

> Grok 4 Fast is the stronger model overall, scoring 39.0 to 28.6 on the Noometry Index.

- Canonical page: https://noometry.com/compare/grok-4-fast-vs-qwen2-5-7b-instruct
- Last updated: 2026-10-10
- Shared benchmarks: 2

## Summary

- They share 2 benchmarks with published results for both. Grok 4 Fast scores higher in 6 categories and Qwen2.5 7B Instruct in 1 category; 7 gaps are clear of the uncertainty.
- The widest gap is in math, where Grok 4 Fast leads 36.1 to 11.8.
- The biggest single-benchmark swing is DTBench: 82.7% for Grok 4 Fast and 47.7% for Qwen2.5 7B Instruct.
- Qwen2.5 7B Instruct has downloadable open weights; the other is API-only.

## Snapshot

| | Grok 4 Fast | Qwen2.5 7B Instruct |
|---|---|---|
| Provider | xAI | Alibaba (Qwen) |
| Noometry Index | 39.0 | 28.6 |
| Rank | 164 | 314 |
| Context | — | 131K |
| Input $/M | — | $0.17 |
| Output $/M | — | $0.70 |
| Weights | Proprietary | Open |

## Coding

- Grok 4 Fast: 32.3 (#264)
- Qwen2.5 7B Instruct: 35.9 (#204)

| Benchmark | Grok 4 Fast | Qwen2.5 7B Instruct |
|---|---|---|
| LMArena WebDev | 1160 | — |
| WeirdML | 42.9% | — |
| BigCodeBench Instruct | — | 37.6% |
| LMArena Coding | 1429 | — |
| BigCodeBench Complete | — | 46.1% |

## Agentic & Tool Use

- Grok 4 Fast: 29.3 (#80)
- Qwen2.5 7B Instruct: 23.5 (#117)

| Benchmark | Grok 4 Fast | Qwen2.5 7B Instruct |
|---|---|---|
| τ²-bench Banking | 15.7% | — |
| Cybench | 30% | — |
| BALROG | — | 7.8% |
| LMArena Search | 1171 | — |

## Reasoning

- Grok 4 Fast: 22.5 (#179)
- Qwen2.5 7B Instruct: 14.3 (#317)

| Benchmark | Grok 4 Fast | Qwen2.5 7B Instruct |
|---|---|---|
| DTBench | 82.7% | 47.7% |
| Epoch Capabilities Index | 144.21 | 118.44 |
| ARC-AGI-2 | 5.3% | — |
| Kagi LLM Benchmark | 66.1% | — |
| ARC-AGI-1 | 48.5% | — |
| Chess Puzzles | — | 0% |
| LMArena Hard Prompts | 1413 | — |
| LMCA | — | 6.4% |
| ForecastBench | 60.5 | — |

## Math

- Grok 4 Fast: 36.1 (#126)
- Qwen2.5 7B Instruct: 11.8 (#300)

| Benchmark | Grok 4 Fast | Qwen2.5 7B Instruct |
|---|---|---|
| OTIS Mock AIME 2024-2025 | — | 2.5% |
| Omni-MATH | — | 29.4% |
| LMArena Math | 1419 | — |

## Knowledge

- Grok 4 Fast: 31.5 (#211)
- Qwen2.5 7B Instruct: 17.0 (#281)

| Benchmark | Grok 4 Fast | Qwen2.5 7B Instruct |
|---|---|---|
| GPQA Diamond | — | 35.5% |
| MMLU-Pro | — | 53.9% |
| Vectara Hallucination Rate | 19.7% | — |
| GPQA (HELM) | — | 34.1% |
| LMArena Expert | 1411 | — |
| MMLU | — | 72.9% |

## Multilingual

- Grok 4 Fast: 51.5 (#106)
- Qwen2.5 7B Instruct: —

| Benchmark | Grok 4 Fast | Qwen2.5 7B Instruct |
|---|---|---|
| LMArena Non-English | 1397 | — |
| LMArena Chinese | 1458 | — |
| LMArena French | 1433 | — |
| LMArena German | 1383 | — |
| LMArena Japanese | 1358 | — |
| LMArena Korean | 1359 | — |
| LMArena Russian | 1387 | — |
| LMArena Spanish | 1414 | — |

## Instruction Following

- Grok 4 Fast: 73.4 (#116)
- Qwen2.5 7B Instruct: 63.4 (#226)

| Benchmark | Grok 4 Fast | Qwen2.5 7B Instruct |
|---|---|---|
| IFEval | — | 74.1% |
| LMArena Instruction Following | 1388 | — |

## Long Context

- Grok 4 Fast: 63.2 (#3)
- Qwen2.5 7B Instruct: —

| Benchmark | Grok 4 Fast | Qwen2.5 7B Instruct |
|---|---|---|
| Fiction.LiveBench | 94.4% | — |
| LMArena Longer Query | 1415 | — |

## Writing & Preference

- Grok 4 Fast: 60.2 (#96)
- Qwen2.5 7B Instruct: 48.8 (#194)

| Benchmark | Grok 4 Fast | Qwen2.5 7B Instruct |
|---|---|---|
| LMArena Text | 1407 | — |
| LMArena Creative Writing | 1388 | — |
| WildBench | — | 73.1% |
| LMArena Multi-Turn | 1414 | — |

## FAQ

### Is Grok 4 Fast better than Qwen2.5 7B Instruct?

Grok 4 Fast is the stronger model overall, scoring 39.0 to 28.6 on the Noometry Index.

### Is Grok 4 Fast or Qwen2.5 7B Instruct better for coding?

Qwen2.5 7B Instruct scores higher on coding benchmarks: 35.9 versus 32.3 in the Noometry coding category.

### How many benchmarks do Grok 4 Fast and Qwen2.5 7B Instruct share?

2 benchmarks have published results for both models. Grok 4 Fast has 30 scored results on Noometry and Qwen2.5 7B Instruct has 15.
