Model comparison
Llama2 70b Steerlm Chat vs o3-pro
o3-pro is the stronger model overall, scoring 42.9 to 31.8 on the Noometry Index.
Last verified . 0 shared benchmarks.
NVIDIASummary
- The widest gap is in long context, where o3-pro leads 72.2 to 30.4.
- Llama2 70b Steerlm Chat has downloadable open weights; the other is API-only.
Side by side
| Llama2 70b Steerlm Chat | o3-pro | |
|---|---|---|
| Provider | NVIDIA | OpenAI |
| Noometry Index | 31.8 | 42.9 |
| Released | — | 2025-06-10 |
| Weights | Open | Proprietary |
| Context window | — | 200K |
| Max output | — | 100K |
| Input $ / M tokens | — | $20 |
| Output $ / M tokens | — | $80 |
| Results tracked | 9 | 12 |
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Category by category
Coding o3-pro leads
Llama2 70b Steerlm Chat: 29.9 (#300), o3-pro: 55.5 (#24)
| Benchmark | Llama2 70b Steerlm Chat | o3-pro |
|---|---|---|
| Aider Polyglot | — | 84.9% |
| WeirdML | — | 58.2% |
| LMArena Coding | 1025 | — |
Reasoning o3-pro leads
Llama2 70b Steerlm Chat: 20.0 (#246), o3-pro: 23.8 (#171)
| Benchmark | Llama2 70b Steerlm Chat | o3-pro |
|---|---|---|
| ARC-AGI-2 | — | 4.9% |
| Kagi LLM Benchmark | — | 72.1% |
| ARC-AGI-1 | — | 59.3% |
| LMArena Hard Prompts | 1047 | — |
| DTBench | — | 86.9% |
| LMCA | — | 38.5% |
| Epoch Capabilities Index | — | 147.42 |
Math Not comparable
Llama2 70b Steerlm Chat: 31.3 (#226), o3-pro: —
| Benchmark | Llama2 70b Steerlm Chat | o3-pro |
|---|---|---|
| LMArena Math | 1072 | — |
Knowledge Not comparable
Llama2 70b Steerlm Chat: —, o3-pro: 29.5 (#238)
| Benchmark | Llama2 70b Steerlm Chat | o3-pro |
|---|---|---|
| Confabulations | — | 14.2% |
| Vectara Hallucination Rate | — | 23.3% |
Multilingual Not comparable
Llama2 70b Steerlm Chat: 28.8 (#270), o3-pro: —
| Benchmark | Llama2 70b Steerlm Chat | o3-pro |
|---|---|---|
| LMArena Non-English | 1063 | — |
Instruction Following Not comparable
Llama2 70b Steerlm Chat: 54.2 (#279), o3-pro: —
| Benchmark | Llama2 70b Steerlm Chat | o3-pro |
|---|---|---|
| LMArena Instruction Following | 1060 | — |
Long Context o3-pro leads
Llama2 70b Steerlm Chat: 30.4 (#288), o3-pro: 72.2 (#1)
| Benchmark | Llama2 70b Steerlm Chat | o3-pro |
|---|---|---|
| Fiction.LiveBench | — | 97.2% |
| LMArena Longer Query | 998 | — |
Writing & Preference o3-pro leads
Llama2 70b Steerlm Chat: 31.6 (#283), o3-pro: 57.1 (#133)
| Benchmark | Llama2 70b Steerlm Chat | o3-pro |
|---|---|---|
| LMArena Text | 1098 | — |
| LMArena Creative Writing | 1091 | — |
| Short-Story Creative Writing | — | 84.4% |
| LMArena Multi-Turn | 1058 | — |
Frequently asked questions
Is Llama2 70b Steerlm Chat better than o3-pro?
o3-pro is the stronger model overall, scoring 42.9 to 31.8 on the Noometry Index.
Is Llama2 70b Steerlm Chat or o3-pro better for coding?
o3-pro scores higher on coding benchmarks: 55.5 versus 29.9 in the Noometry coding category.
How many benchmarks do Llama2 70b Steerlm Chat and o3-pro share?
0 benchmarks have published results for both models. Llama2 70b Steerlm Chat has 9 scored results on Noometry and o3-pro has 12.