Model comparison
Llama2 70b Steerlm Chat vs Qwen3 Max
Qwen3 Max is the stronger model overall, scoring 43.5 to 31.2 on the Noometry Index.
Last verified . 9 shared benchmarks.
NVIDIA
Alibaba (Qwen)Summary
- They share 9 benchmarks with published results for both. Llama2 70b Steerlm Chat scores higher in 0 categories and Qwen3 Max in 7 categories; 7 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where Qwen3 Max leads 62.6 to 31.8.
- Llama2 70b Steerlm Chat has downloadable open weights; the other is API-only.
Side by side
| Llama2 70b Steerlm Chat | Qwen3 Max | |
|---|---|---|
| Provider | NVIDIA | Alibaba (Qwen) |
| Noometry Index | 31.2 | 43.5 |
| Released | — | 2025-09-23 |
| Weights | Open | Proprietary |
| Context window | — | 262K |
| Max output | — | 66K |
| Input $ / M tokens | — | $1.20 |
| Output $ / M tokens | — | $6 |
| Results tracked | 9 | 33 |
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Category by category
Coding Qwen3 Max leads
Llama2 70b Steerlm Chat: 29.3 (#295), Qwen3 Max: 42.4 (#93)
| Benchmark | Llama2 70b Steerlm Chat | Qwen3 Max |
|---|---|---|
| LMArena Coding | 1025 | 1456 |
| ALE-Bench | — | 370.45 |
Agentic & Tool Use Not comparable
Llama2 70b Steerlm Chat: —, Qwen3 Max: —
| Benchmark | Llama2 70b Steerlm Chat | Qwen3 Max |
|---|---|---|
| Vending-Bench 2 | — | 71.56 |
Reasoning Qwen3 Max leads
Llama2 70b Steerlm Chat: 19.1 (#245), Qwen3 Max: 22.0 (#186)
| Benchmark | Llama2 70b Steerlm Chat | Qwen3 Max |
|---|---|---|
| LMArena Hard Prompts | 1047 | 1448 |
| Kagi LLM Benchmark | — | 72.5% |
| NYT Connections (extended) | — | 30.1% |
| Chess Puzzles | — | 4% |
| Mystery Game Puzzles | — | 5% |
| DTBench | — | 82.1% |
| LMCA | — | 28.3% |
| Epoch Capabilities Index | — | 142.41 |
Math Qwen3 Max leads
Llama2 70b Steerlm Chat: 28.8 (#223), Qwen3 Max: 37.6 (#94)
| Benchmark | Llama2 70b Steerlm Chat | Qwen3 Max |
|---|---|---|
| LMArena Math | 1072 | 1447 |
| FrontierMath (Tiers 1-3) | — | 18.9% |
| OTIS Mock AIME 2024-2025 | — | 73.3% |
| MATH Level 5 | — | 97.1% |
Knowledge Not comparable
Llama2 70b Steerlm Chat: —, Qwen3 Max: 48.1 (#72)
| Benchmark | Llama2 70b Steerlm Chat | Qwen3 Max |
|---|---|---|
| GPQA Diamond | — | 72.6% |
| SimpleQA Verified | — | 48.7% |
| LMArena Expert | — | 1457 |
Multilingual Qwen3 Max leads
Llama2 70b Steerlm Chat: 28.9 (#265), Qwen3 Max: 53.9 (#58)
| Benchmark | Llama2 70b Steerlm Chat | Qwen3 Max |
|---|---|---|
| LMArena Non-English | 1064 | 1429 |
| LMArena Chinese | — | 1479 |
| LMArena French | — | 1450 |
| LMArena German | — | 1463 |
| LMArena Japanese | — | 1399 |
| LMArena Korean | — | 1397 |
| LMArena Russian | — | 1428 |
| LMArena Spanish | — | 1463 |
Instruction Following Qwen3 Max leads
Llama2 70b Steerlm Chat: 54.5 (#274), Qwen3 Max: 75.0 (#81)
| Benchmark | Llama2 70b Steerlm Chat | Qwen3 Max |
|---|---|---|
| LMArena Instruction Following | 1061 | 1420 |
Long Context Qwen3 Max leads
Llama2 70b Steerlm Chat: 30.4 (#283), Qwen3 Max: 41.6 (#129)
| Benchmark | Llama2 70b Steerlm Chat | Qwen3 Max |
|---|---|---|
| LMArena Longer Query | 998 | 1439 |
| Fiction.LiveBench | — | 66.7% |
| CL-bench | — | 14.5% |
Writing & Preference Qwen3 Max leads
Llama2 70b Steerlm Chat: 31.8 (#278), Qwen3 Max: 62.6 (#72)
| Benchmark | Llama2 70b Steerlm Chat | Qwen3 Max |
|---|---|---|
| LMArena Text | 1098 | 1439 |
| LMArena Creative Writing | 1091 | 1401 |
| LMArena Multi-Turn | 1058 | 1446 |
Frequently asked questions
Is Llama2 70b Steerlm Chat better than Qwen3 Max?
Qwen3 Max is the stronger model overall, scoring 43.5 to 31.2 on the Noometry Index.
Is Llama2 70b Steerlm Chat or Qwen3 Max better for coding?
Qwen3 Max scores higher on coding benchmarks: 42.4 versus 29.3 in the Noometry coding category.
How many benchmarks do Llama2 70b Steerlm Chat and Qwen3 Max share?
9 benchmarks have published results for both models. Llama2 70b Steerlm Chat has 9 scored results on Noometry and Qwen3 Max has 33.