Model comparison
Llama2 70b Steerlm Chat vs Qwen3.6 Flash
Qwen3.6 Flash is the stronger model overall, scoring 38.8 to 31.8 on the Noometry Index.
Last verified . 0 shared benchmarks.
NVIDIA
Alibaba (Qwen)Summary
- The widest gap is in reasoning, where Qwen3.6 Flash leads 29.0 to 20.0.
- Llama2 70b Steerlm Chat has downloadable open weights; the other is API-only.
Side by side
| Llama2 70b Steerlm Chat | Qwen3.6 Flash | |
|---|---|---|
| Provider | NVIDIA | Alibaba (Qwen) |
| Noometry Index | 31.8 | 38.8 |
| Released | — | 2026-04-27 |
| Weights | Open | Proprietary |
| Context window | — | 1M |
| Max output | — | 66K |
| Input $ / M tokens | — | $0.19 |
| Output $ / M tokens | — | $1.13 |
| Results tracked | 9 | 13 |
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Category by category
Coding Not comparable
Llama2 70b Steerlm Chat: 29.9 (#300), Qwen3.6 Flash: —
| Benchmark | Llama2 70b Steerlm Chat | Qwen3.6 Flash |
|---|---|---|
| LMArena Coding | 1025 | — |
| ALE-Bench | — | 326.4 |
Reasoning Qwen3.6 Flash leads
Llama2 70b Steerlm Chat: 20.0 (#246), Qwen3.6 Flash: 29.0 (#96)
| Benchmark | Llama2 70b Steerlm Chat | Qwen3.6 Flash |
|---|---|---|
| SimpleBench | — | 35.2% |
| Chess Puzzles | — | 20% |
| LMArena Hard Prompts | 1047 | — |
| Mystery Game Puzzles | — | 18% |
| DTBench | — | 77.1% |
| LMCA | — | 31% |
| Epoch Capabilities Index | — | 143.26 |
Math Qwen3.6 Flash leads
Llama2 70b Steerlm Chat: 31.3 (#226), Qwen3.6 Flash: 39.0 (#117)
| Benchmark | Llama2 70b Steerlm Chat | Qwen3.6 Flash |
|---|---|---|
| FrontierMath (Tiers 1-3) | — | 22.5% |
| OTIS Mock AIME 2024-2025 | — | 84.4% |
| LMArena Math | 1072 | — |
| FrontierMath (Feb 2025 set) | — | 10.3% |
| FrontierMath Tier 4 (v1) | — | 0% |
Knowledge Not comparable
Llama2 70b Steerlm Chat: —, Qwen3.6 Flash: 42.1 (#100)
| Benchmark | Llama2 70b Steerlm Chat | Qwen3.6 Flash |
|---|---|---|
| GPQA Diamond | — | 83.3% |
| SimpleQA Verified | — | 15.9% |
Multilingual Not comparable
Llama2 70b Steerlm Chat: 28.8 (#270), Qwen3.6 Flash: —
| Benchmark | Llama2 70b Steerlm Chat | Qwen3.6 Flash |
|---|---|---|
| LMArena Non-English | 1063 | — |
Instruction Following Not comparable
Llama2 70b Steerlm Chat: 54.2 (#279), Qwen3.6 Flash: —
| Benchmark | Llama2 70b Steerlm Chat | Qwen3.6 Flash |
|---|---|---|
| LMArena Instruction Following | 1060 | — |
Long Context Not comparable
Llama2 70b Steerlm Chat: 30.4 (#288), Qwen3.6 Flash: —
| Benchmark | Llama2 70b Steerlm Chat | Qwen3.6 Flash |
|---|---|---|
| LMArena Longer Query | 998 | — |
Writing & Preference Not comparable
Llama2 70b Steerlm Chat: 31.6 (#283), Qwen3.6 Flash: —
| Benchmark | Llama2 70b Steerlm Chat | Qwen3.6 Flash |
|---|---|---|
| LMArena Text | 1098 | — |
| LMArena Creative Writing | 1091 | — |
| LMArena Multi-Turn | 1058 | — |
Frequently asked questions
Is Llama2 70b Steerlm Chat better than Qwen3.6 Flash?
Qwen3.6 Flash is the stronger model overall, scoring 38.8 to 31.8 on the Noometry Index.
How many benchmarks do Llama2 70b Steerlm Chat and Qwen3.6 Flash share?
0 benchmarks have published results for both models. Llama2 70b Steerlm Chat has 9 scored results on Noometry and Qwen3.6 Flash has 13.