# Llama2 70b Steerlm Chat vs Qwen3-Coder 480B-A35B Instruct

> Qwen3-Coder 480B-A35B Instruct is the stronger model overall, scoring 37.7 to 31.2 on the Noometry Index.

- Canonical page: https://noometry.com/compare/llama2-70b-steerlm-chat-vs-qwen3-coder-480b-a35b-instruct
- Last updated: 2026-10-10
- Shared benchmarks: 9

## Summary

- They share 9 benchmarks with published results for both. Llama2 70b Steerlm Chat scores higher in 0 categories and Qwen3-Coder 480B-A35B Instruct in 7 categories; 7 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where Qwen3-Coder 480B-A35B Instruct leads 55.5 to 31.8.

## Snapshot

| | Llama2 70b Steerlm Chat | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| Provider | NVIDIA | Alibaba (Qwen) |
| Noometry Index | 31.2 | 37.7 |
| Rank | 265 | 186 |
| Context | — | 262K |
| Input $/M | — | $1.50 |
| Output $/M | — | $7.50 |
| Weights | Open | Open |

## Coding

- Llama2 70b Steerlm Chat: 29.3 (#295)
- Qwen3-Coder 480B-A35B Instruct: 36.2 (#199)

| Benchmark | Llama2 70b Steerlm Chat | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| LMArena Coding | 1025 | 1413 |
| SWE-bench Verified (bash only) | — | 55.4% |
| LMArena WebDev | — | 1275 |
| GSO | — | 4.9% |
| WeirdML | — | 41.2% |
| ALE-Bench | — | 461.45 |
| AlgoTune | — | 1.44 |

## Agentic & Tool Use

- Llama2 70b Steerlm Chat: —
- Qwen3-Coder 480B-A35B Instruct: 23.7 (#116)

| Benchmark | Llama2 70b Steerlm Chat | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| Terminal-Bench | — | 27.2% |

## Reasoning

- Llama2 70b Steerlm Chat: 19.1 (#245)
- Qwen3-Coder 480B-A35B Instruct: 24.7 (#141)

| Benchmark | Llama2 70b Steerlm Chat | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| LMArena Hard Prompts | 1047 | 1372 |
| Kagi LLM Benchmark | — | 49.5% |

## Math

- Llama2 70b Steerlm Chat: 28.8 (#223)
- Qwen3-Coder 480B-A35B Instruct: 34.9 (#151)

| Benchmark | Llama2 70b Steerlm Chat | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| LMArena Math | 1072 | 1364 |

## Knowledge

- Llama2 70b Steerlm Chat: —
- Qwen3-Coder 480B-A35B Instruct: 36.4 (#159)

| Benchmark | Llama2 70b Steerlm Chat | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| LMArena Expert | — | 1337 |

## Multilingual

- Llama2 70b Steerlm Chat: 28.9 (#265)
- Qwen3-Coder 480B-A35B Instruct: 47.8 (#143)

| Benchmark | Llama2 70b Steerlm Chat | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| LMArena Non-English | 1064 | 1345 |
| LMArena Chinese | — | 1356 |
| LMArena French | — | 1394 |
| LMArena German | — | 1324 |
| LMArena Japanese | — | 1309 |
| LMArena Korean | — | 1307 |
| LMArena Russian | — | 1367 |
| LMArena Spanish | — | 1360 |

## Instruction Following

- Llama2 70b Steerlm Chat: 54.5 (#274)
- Qwen3-Coder 480B-A35B Instruct: 71.8 (#142)

| Benchmark | Llama2 70b Steerlm Chat | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| LMArena Instruction Following | 1061 | 1356 |

## Long Context

- Llama2 70b Steerlm Chat: 30.4 (#283)
- Qwen3-Coder 480B-A35B Instruct: 42.0 (#126)

| Benchmark | Llama2 70b Steerlm Chat | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| LMArena Longer Query | 998 | 1379 |

## Writing & Preference

- Llama2 70b Steerlm Chat: 31.8 (#278)
- Qwen3-Coder 480B-A35B Instruct: 55.5 (#142)

| Benchmark | Llama2 70b Steerlm Chat | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| LMArena Text | 1098 | 1356 |
| LMArena Creative Writing | 1091 | 1333 |
| LMArena Multi-Turn | 1058 | 1365 |

## FAQ

### Is Llama2 70b Steerlm Chat better than Qwen3-Coder 480B-A35B Instruct?

Qwen3-Coder 480B-A35B Instruct is the stronger model overall, scoring 37.7 to 31.2 on the Noometry Index.

### Is Llama2 70b Steerlm Chat or Qwen3-Coder 480B-A35B Instruct better for coding?

Qwen3-Coder 480B-A35B Instruct scores higher on coding benchmarks: 36.2 versus 29.3 in the Noometry coding category.

### How many benchmarks do Llama2 70b Steerlm Chat and Qwen3-Coder 480B-A35B Instruct share?

9 benchmarks have published results for both models. Llama2 70b Steerlm Chat has 9 scored results on Noometry and Qwen3-Coder 480B-A35B Instruct has 25.