# Qwen2.5 72B Instruct vs Qwen3 Coder Next

> Qwen3 Coder Next is the stronger model overall, scoring 33.8 to 31.5 on the Noometry Index.

- Canonical page: https://noometry.com/compare/qwen2-5-72b-instruct-vs-qwen3-coder-next
- Last updated: 2026-10-10
- Shared benchmarks: 1

## Summary

- They share 1 benchmark with published results for both. Qwen2.5 72B Instruct scores higher in 0 categories and Qwen3 Coder Next in 2 categories; one gap is clear of the uncertainty.
- The widest gap is in coding, where Qwen3 Coder Next leads 35.8 to 32.8.
- The biggest single-benchmark swing is WeirdML: 16% for Qwen2.5 72B Instruct and 34.4% for Qwen3 Coder Next.
- Qwen3 Coder Next is cheaper at $0.12 / $0.80 per million input/output tokens, against $1.40 / $5.60 for Qwen2.5 72B Instruct.
- Qwen3 Coder Next accepts more context: 262K tokens versus 131K.

## Snapshot

| | Qwen2.5 72B Instruct | Qwen3 Coder Next |
|---|---|---|
| Provider | Alibaba (Qwen) | Alibaba (Qwen) |
| Noometry Index | 31.5 | 33.8 |
| Rank | 259 | 229 |
| Context | 131K | 262K |
| Input $/M | $1.40 | $0.12 |
| Output $/M | $5.60 | $0.80 |
| Weights | Open | Open |

## Coding

- Qwen2.5 72B Instruct: 32.8 (#256)
- Qwen3 Coder Next: 35.8 (#206)

| Benchmark | Qwen2.5 72B Instruct | Qwen3 Coder Next |
|---|---|---|
| WeirdML | 16% | 34.4% |
| SciCode | — | 32.3% |
| BigCodeBench Instruct | 45.8% | — |
| LMArena Coding | 1293 | — |
| BigCodeBench Complete | 55.9% | — |

## Agentic & Tool Use

- Qwen2.5 72B Instruct: 22.0 (#124)
- Qwen3 Coder Next: —

| Benchmark | Qwen2.5 72B Instruct | Qwen3 Coder Next |
|---|---|---|
| TheAgentCompany | 5.7% | — |
| BALROG | 16.2% | — |
| METR Time Horizons | 35.8% | — |

## Reasoning

- Qwen2.5 72B Instruct: 21.4 (#197)
- Qwen3 Coder Next: 21.7 (#191)

| Benchmark | Qwen2.5 72B Instruct | Qwen3 Coder Next |
|---|---|---|
| CritPt | — | 0% |
| LMArena Hard Prompts | 1271 | — |
| DTBench | 62.9% | — |
| LMCA | 13.4% | — |
| BIG-Bench Hard | 79.8% | — |
| Epoch Capabilities Index | 129.01 | — |
| ForecastBench | 57.5 | — |
| HellaSwag | 84.8% | — |
| PIQA | 82.6% | — |
| WinoGrande | 82.3% | — |

## Math

- Qwen2.5 72B Instruct: 18.1 (#281)
- Qwen3 Coder Next: —

| Benchmark | Qwen2.5 72B Instruct | Qwen3 Coder Next |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 8.1% | — |
| Omni-MATH | 33% | — |
| LMArena Math | 1283 | — |
| MATH Level 5 | 63.2% | — |

## Knowledge

- Qwen2.5 72B Instruct: 26.9 (#247)
- Qwen3 Coder Next: —

| Benchmark | Qwen2.5 72B Instruct | Qwen3 Coder Next |
|---|---|---|
| GPQA Diamond | 49.1% | — |
| MMLU-Pro | 63.1% | — |
| Confabulations | 19.1% | — |
| GPQA (HELM) | 42.6% | — |
| LMArena Expert | 1245 | — |
| ARC (AI2) Challenge | 94.5% | — |
| MMLU | 85.3% | — |
| TriviaQA | 71.9% | — |

## Multilingual

- Qwen2.5 72B Instruct: 41.2 (#208)
- Qwen3 Coder Next: —

| Benchmark | Qwen2.5 72B Instruct | Qwen3 Coder Next |
|---|---|---|
| LMArena Non-English | 1252 | — |
| LMArena Chinese | 1272 | — |
| LMArena French | 1279 | — |
| LMArena German | 1234 | — |
| LMArena Japanese | 1180 | — |
| LMArena Korean | 1188 | — |
| LMArena Russian | 1264 | — |
| LMArena Spanish | 1255 | — |

## Instruction Following

- Qwen2.5 72B Instruct: 65.7 (#216)
- Qwen3 Coder Next: —

| Benchmark | Qwen2.5 72B Instruct | Qwen3 Coder Next |
|---|---|---|
| IFEval | 80.6% | — |
| LMArena Instruction Following | 1254 | — |

## Long Context

- Qwen2.5 72B Instruct: 38.9 (#183)
- Qwen3 Coder Next: —

| Benchmark | Qwen2.5 72B Instruct | Qwen3 Coder Next |
|---|---|---|
| LMArena Longer Query | 1282 | — |

## Writing & Preference

- Qwen2.5 72B Instruct: 46.9 (#210)
- Qwen3 Coder Next: —

| Benchmark | Qwen2.5 72B Instruct | Qwen3 Coder Next |
|---|---|---|
| LMArena Text | 1269 | — |
| LMArena Creative Writing | 1221 | — |
| WildBench | 80.2% | — |
| LMArena Multi-Turn | 1272 | — |

## FAQ

### Is Qwen2.5 72B Instruct better than Qwen3 Coder Next?

Qwen3 Coder Next is the stronger model overall, scoring 33.8 to 31.5 on the Noometry Index.

### Which is cheaper, Qwen2.5 72B Instruct or Qwen3 Coder Next?

Qwen3 Coder Next is cheaper. It lists at $0.12 per million input tokens and $0.80 per million output tokens; Qwen2.5 72B Instruct lists at $1.40 and $5.60.

### Is Qwen2.5 72B Instruct or Qwen3 Coder Next better for coding?

Qwen3 Coder Next scores higher on coding benchmarks: 35.8 versus 32.8 in the Noometry coding category.

### Which has the bigger context window?

Qwen3 Coder Next does, with 262K tokens against 131K.

### How many benchmarks do Qwen2.5 72B Instruct and Qwen3 Coder Next share?

1 benchmark has published results for both models. Qwen2.5 72B Instruct has 43 scored results on Noometry and Qwen3 Coder Next has 3.
