# Llama 4 Maverick vs Qwen2.5 32B Instruct

> Llama 4 Maverick and Qwen2.5 32B Instruct score almost the same on the Noometry Index (30.9 vs 30.1), so choose on price, context window or the category you care about most.

- Canonical page: https://noometry.com/compare/llama-4-maverick-vs-qwen2-5-32b-instruct
- Last updated: 2026-10-10
- Shared benchmarks: 6

## Summary

- They share 6 benchmarks with published results for both. Llama 4 Maverick scores higher in 2 categories and Qwen2.5 32B Instruct in 2 categories; 4 gaps are clear of the uncertainty.
- The widest gap is in coding, where Qwen2.5 32B Instruct leads 38.7 to 26.6.
- The biggest single-benchmark swing is GPQA Diamond: 67% for Llama 4 Maverick and 46.1% for Qwen2.5 32B Instruct.
- Llama 4 Maverick is cheaper at $0.19 / $0.65 per million input/output tokens, against $0.70 / $2.80 for Qwen2.5 32B Instruct.
- Qwen2.5 32B Instruct accepts more context: 131K tokens versus 128K.

## Snapshot

| | Llama 4 Maverick | Qwen2.5 32B Instruct |
|---|---|---|
| Provider | Meta | Alibaba (Qwen) |
| Noometry Index | 30.9 | 30.1 |
| Rank | 282 | 297 |
| Context | 128K | 131K |
| Input $/M | $0.19 | $0.70 |
| Output $/M | $0.65 | $2.80 |
| Weights | Open | Open |

## Coding

- Llama 4 Maverick: 26.6 (#324)
- Qwen2.5 32B Instruct: 38.7 (#169)

| Benchmark | Llama 4 Maverick | Qwen2.5 32B Instruct |
|---|---|---|
| BigCodeBench Instruct | 49.7% | 45% |
| BigCodeBench Complete | 61.4% | 52.3% |
| SWE-bench Verified (bash only) | 21% | — |
| Aider Polyglot | 15.6% | — |
| SciCode | 33.1% | — |
| WeirdML | 24.5% | — |
| LMArena Coding | 1302 | — |
| ALE-Bench | 172.97 | — |

## Agentic & Tool Use

- Llama 4 Maverick: 28.2 (#91)
- Qwen2.5 32B Instruct: —

| Benchmark | Llama 4 Maverick | Qwen2.5 32B Instruct |
|---|---|---|
| Berkeley Function Calling Leaderboard | 37.3% | — |

## Reasoning

- Llama 4 Maverick: 10.1 (#342)
- Qwen2.5 32B Instruct: 19.2 (#266)

| Benchmark | Llama 4 Maverick | Qwen2.5 32B Instruct |
|---|---|---|
| Epoch Capabilities Index | 132.2 | 128.52 |
| ARC-AGI-2 | 0% | — |
| SimpleBench | 27.7% | — |
| Kagi LLM Benchmark | 55.9% | — |
| NYT Connections (extended) | 8% | — |
| ARC-AGI-1 | 4.4% | — |
| CritPt | 0% | — |
| Chess Puzzles | — | 0% |
| EnigmaEval | 0.6% | — |
| LMArena Hard Prompts | 1281 | — |
| DTBench | 61.9% | — |
| LMCA | 15.9% | — |
| ForecastBench | 57.5 | — |

## Math

- Llama 4 Maverick: 26.0 (#262)
- Qwen2.5 32B Instruct: 16.2 (#296)

| Benchmark | Llama 4 Maverick | Qwen2.5 32B Instruct |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 20.6% | 7.4% |
| MATH Level 5 | 73% | 56.1% |
| Omni-MATH | 42.2% | — |
| LMArena Math | 1299 | — |
| FrontierMath (Feb 2025 set) | 0.7% | — |

## Knowledge

- Llama 4 Maverick: 33.4 (#204)
- Qwen2.5 32B Instruct: 24.9 (#266)

| Benchmark | Llama 4 Maverick | Qwen2.5 32B Instruct |
|---|---|---|
| GPQA Diamond | 67% | 46.1% |
| Humanity's Last Exam | 5.7% | — |
| MMLU-Pro | 81% | — |
| Confabulations | 22.6% | — |
| Vectara Hallucination Rate | 8.2% | — |
| GPQA (HELM) | 65% | — |
| LMArena Expert | 1259 | — |

## Multimodal

- Llama 4 Maverick: 31.6 (#105)
- Qwen2.5 32B Instruct: —

| Benchmark | Llama 4 Maverick | Qwen2.5 32B Instruct |
|---|---|---|
| LMArena Vision | 1142 | — |
| GeoBench | 52% | — |
| SpatialViz-Bench | 31.8% | — |

## Multilingual

- Llama 4 Maverick: 42.2 (#195)
- Qwen2.5 32B Instruct: —

| Benchmark | Llama 4 Maverick | Qwen2.5 32B Instruct |
|---|---|---|
| LMArena Non-English | 1269 | — |
| LMArena Chinese | 1277 | — |
| LMArena French | 1259 | — |
| LMArena German | 1291 | — |
| LMArena Japanese | 1207 | — |
| LMArena Korean | 1203 | — |
| LMArena Russian | 1286 | — |
| LMArena Spanish | 1293 | — |

## Instruction Following

- Llama 4 Maverick: 71.7 (#146)
- Qwen2.5 32B Instruct: —

| Benchmark | Llama 4 Maverick | Qwen2.5 32B Instruct |
|---|---|---|
| IFEval | 90.8% | — |
| LMArena Instruction Following | 1267 | — |

## Long Context

- Llama 4 Maverick: 31.4 (#279)
- Qwen2.5 32B Instruct: —

| Benchmark | Llama 4 Maverick | Qwen2.5 32B Instruct |
|---|---|---|
| Fiction.LiveBench | 46.2% | — |
| LMArena Longer Query | 1280 | — |

## Writing & Preference

- Llama 4 Maverick: 38.8 (#252)
- Qwen2.5 32B Instruct: —

| Benchmark | Llama 4 Maverick | Qwen2.5 32B Instruct |
|---|---|---|
| LMArena Text | 1287 | — |
| LMArena Creative Writing | 1267 | — |
| Short-Story Creative Writing | 62% | — |
| EQ-Bench Creative Writing | 860 | — |
| WildBench | 80% | — |
| LMArena Multi-Turn | 1289 | — |

## FAQ

### Is Llama 4 Maverick better than Qwen2.5 32B Instruct?

Llama 4 Maverick and Qwen2.5 32B Instruct score almost the same on the Noometry Index (30.9 vs 30.1), so choose on price, context window or the category you care about most.

### Which is cheaper, Llama 4 Maverick or Qwen2.5 32B Instruct?

Llama 4 Maverick is cheaper. It lists at $0.19 per million input tokens and $0.65 per million output tokens; Qwen2.5 32B Instruct lists at $0.70 and $2.80.

### Is Llama 4 Maverick or Qwen2.5 32B Instruct better for coding?

Qwen2.5 32B Instruct scores higher on coding benchmarks: 38.7 versus 26.6 in the Noometry coding category.

### Which has the bigger context window?

Qwen2.5 32B Instruct does, with 131K tokens against 128K.

### How many benchmarks do Llama 4 Maverick and Qwen2.5 32B Instruct share?

6 benchmarks have published results for both models. Llama 4 Maverick has 54 scored results on Noometry and Qwen2.5 32B Instruct has 7.