Model comparison
Llama2 70b Steerlm Chat vs Qwen3.7 Max
Qwen3.7 Max is the stronger model overall, scoring 51.5 to 31.8 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 Qwen3.7 Max in 7 categories; 7 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where Qwen3.7 Max leads 65.0 to 31.6.
- Llama2 70b Steerlm Chat has downloadable open weights; the other is API-only.
Side by side
| Llama2 70b Steerlm Chat | Qwen3.7 Max | |
|---|---|---|
| Provider | NVIDIA | Alibaba (Qwen) |
| Noometry Index | 31.8 | 51.5 |
| Released | — | 2026-05-19 |
| Weights | Open | Proprietary |
| Context window | — | 1M |
| Max output | — | 131K |
| Input $ / M tokens | — | $2.50 |
| Output $ / M tokens | — | $7.50 |
| Results tracked | 9 | 33 |
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Category by category
Coding Qwen3.7 Max leads
Llama2 70b Steerlm Chat: 29.9 (#300), Qwen3.7 Max: 50.4 (#45)
| Benchmark | Llama2 70b Steerlm Chat | Qwen3.7 Max |
|---|---|---|
| LMArena Coding | 1025 | 1498 |
| SWE-bench Verified | — | 77.3% |
| LMArena WebDev | — | 1515 |
| SciCode | — | 48.8% |
| ALE-Bench | — | 1,189 |
Agentic & Tool Use Not comparable
Llama2 70b Steerlm Chat: —, Qwen3.7 Max: 22.1 (#135)
| Benchmark | Llama2 70b Steerlm Chat | Qwen3.7 Max |
|---|---|---|
| GBAEval | — | 0.4% |
Reasoning Qwen3.7 Max leads
Llama2 70b Steerlm Chat: 20.0 (#246), Qwen3.7 Max: 49.2 (#38)
| Benchmark | Llama2 70b Steerlm Chat | Qwen3.7 Max |
|---|---|---|
| LMArena Hard Prompts | 1047 | 1483 |
| SimpleBench | — | 70.4% |
| NYT Connections (extended) | — | 85.1% |
| CritPt | — | 13.4% |
| Chess Puzzles | — | 19% |
| EBR-Bench | — | 9.5% |
| Mystery Game Puzzles | — | 32% |
| DTBench | — | 92.3% |
| LMCA | — | 44% |
| Epoch Capabilities Index | — | 153.68 |
Math Qwen3.7 Max leads
Llama2 70b Steerlm Chat: 31.3 (#226), Qwen3.7 Max: 62.4 (#32)
| Benchmark | Llama2 70b Steerlm Chat | Qwen3.7 Max |
|---|---|---|
| LMArena Math | 1072 | 1490 |
| FrontierMath (Tiers 1-3) | — | 64.6% |
| FrontierMath Tier 4 | — | 34.1% |
| OTIS Mock AIME 2024-2025 | — | 95.6% |
| ProofBench | — | 26% |
Knowledge Not comparable
Llama2 70b Steerlm Chat: —, Qwen3.7 Max: 61.6 (#28)
| Benchmark | Llama2 70b Steerlm Chat | Qwen3.7 Max |
|---|---|---|
| GPQA Diamond | — | 90.9% |
| SimpleQA Verified | — | 55.8% |
| LMArena Expert | — | 1488 |
Multilingual Qwen3.7 Max leads
Llama2 70b Steerlm Chat: 28.8 (#270), Qwen3.7 Max: 56.9 (#15)
| Benchmark | Llama2 70b Steerlm Chat | Qwen3.7 Max |
|---|---|---|
| LMArena Non-English | 1063 | 1474 |
| LMArena Chinese | — | 1530 |
| LMArena Russian | — | 1484 |
Instruction Following Qwen3.7 Max leads
Llama2 70b Steerlm Chat: 54.2 (#279), Qwen3.7 Max: 76.7 (#38)
| Benchmark | Llama2 70b Steerlm Chat | Qwen3.7 Max |
|---|---|---|
| LMArena Instruction Following | 1060 | 1460 |
Long Context Qwen3.7 Max leads
Llama2 70b Steerlm Chat: 30.4 (#288), Qwen3.7 Max: 45.4 (#40)
| Benchmark | Llama2 70b Steerlm Chat | Qwen3.7 Max |
|---|---|---|
| LMArena Longer Query | 998 | 1482 |
Writing & Preference Qwen3.7 Max leads
Llama2 70b Steerlm Chat: 31.6 (#283), Qwen3.7 Max: 65.0 (#54)
| Benchmark | Llama2 70b Steerlm Chat | Qwen3.7 Max |
|---|---|---|
| LMArena Text | 1098 | 1476 |
| LMArena Creative Writing | 1091 | 1449 |
| LMArena Multi-Turn | 1058 | 1481 |
| EQ-Bench 4 | — | 1110 |
Frequently asked questions
Is Llama2 70b Steerlm Chat better than Qwen3.7 Max?
Qwen3.7 Max is the stronger model overall, scoring 51.5 to 31.8 on the Noometry Index.
Is Llama2 70b Steerlm Chat or Qwen3.7 Max better for coding?
Qwen3.7 Max scores higher on coding benchmarks: 50.4 versus 29.9 in the Noometry coding category.
How many benchmarks do Llama2 70b Steerlm Chat and Qwen3.7 Max share?
9 benchmarks have published results for both models. Llama2 70b Steerlm Chat has 9 scored results on Noometry and Qwen3.7 Max has 33.