Model comparison
Llama2 70b Steerlm Chat vs o1-mini
o1-mini is the stronger model overall, scoring 34.0 to 31.8 on the Noometry Index.
Last verified . 9 shared benchmarks.
NVIDIASummary
- They share 9 benchmarks with published results for both. Llama2 70b Steerlm Chat scores higher in 1 category and o1-mini in 6 categories; 7 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where o1-mini leads 48.4 to 31.6.
- Llama2 70b Steerlm Chat has downloadable open weights; the other is API-only.
Side by side
| Llama2 70b Steerlm Chat | o1-mini | |
|---|---|---|
| Provider | NVIDIA | OpenAI |
| Noometry Index | 31.8 | 34.0 |
| Released | — | 2024-09-12 |
| Weights | Open | Proprietary |
| Context window | — | — |
| Max output | — | — |
| Input $ / M tokens | — | — |
| Output $ / M tokens | — | — |
| Results tracked | 9 | 39 |
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Category by category
Coding o1-mini leads
Llama2 70b Steerlm Chat: 29.9 (#300), o1-mini: 35.5 (#224)
| Benchmark | Llama2 70b Steerlm Chat | o1-mini |
|---|---|---|
| LMArena Coding | 1025 | 1362 |
| Aider Polyglot | — | 32.9% |
| WeirdML | — | 36.3% |
| LiveBench Coding | — | 48% |
| HumanEval+ | — | 89% |
| MBPP+ | — | 78.8% |
Agentic & Tool Use Not comparable
Llama2 70b Steerlm Chat: —, o1-mini: 24.6 (#118)
| Benchmark | Llama2 70b Steerlm Chat | o1-mini |
|---|---|---|
| Cybench | — | 10% |
Reasoning Llama2 70b Steerlm Chat leads
Llama2 70b Steerlm Chat: 20.0 (#246), o1-mini: 8.8 (#346)
| Benchmark | Llama2 70b Steerlm Chat | o1-mini |
|---|---|---|
| LMArena Hard Prompts | 1047 | 1333 |
| ARC-AGI-2 | — | 0.8% |
| SimpleBench | — | 18.1% |
| ARC-AGI-1 | — | 14% |
| LiveBench Reasoning | — | 72.3% |
| LiveBench Data Analysis | — | 57.9% |
| Epoch Capabilities Index | — | 135.82 |
| LiveBench | — | 57.8% |
Math o1-mini leads
Llama2 70b Steerlm Chat: 31.3 (#226), o1-mini: 35.4 (#186)
| Benchmark | Llama2 70b Steerlm Chat | o1-mini |
|---|---|---|
| LMArena Math | 1072 | 1358 |
| OTIS Mock AIME 2024-2025 | — | 46.9% |
| LiveBench Math | — | 62% |
| MATH Level 5 | — | 89.2% |
| FrontierMath (Feb 2025 set) | — | 1.7% |
Knowledge Not comparable
Llama2 70b Steerlm Chat: —, o1-mini: 34.9 (#192)
| Benchmark | Llama2 70b Steerlm Chat | o1-mini |
|---|---|---|
| GPQA Diamond | — | 62.4% |
| Confabulations | — | 18.6% |
| LMArena Expert | — | 1316 |
Multilingual o1-mini leads
Llama2 70b Steerlm Chat: 28.8 (#270), o1-mini: 43.6 (#182)
| Benchmark | Llama2 70b Steerlm Chat | o1-mini |
|---|---|---|
| LMArena Non-English | 1063 | 1289 |
| LMArena Chinese | — | 1314 |
| LMArena French | — | 1293 |
| LMArena German | — | 1278 |
| LMArena Japanese | — | 1245 |
| LMArena Korean | — | 1223 |
| LMArena Russian | — | 1283 |
| LMArena Spanish | — | 1303 |
Instruction Following o1-mini leads
Llama2 70b Steerlm Chat: 54.2 (#279), o1-mini: 66.7 (#206)
| Benchmark | Llama2 70b Steerlm Chat | o1-mini |
|---|---|---|
| LMArena Instruction Following | 1060 | 1304 |
| LiveBench Instruction Following | — | 65.4% |
Long Context o1-mini leads
Llama2 70b Steerlm Chat: 30.4 (#288), o1-mini: 40.1 (#161)
| Benchmark | Llama2 70b Steerlm Chat | o1-mini |
|---|---|---|
| LMArena Longer Query | 998 | 1320 |
Writing & Preference o1-mini leads
Llama2 70b Steerlm Chat: 31.6 (#283), o1-mini: 48.4 (#202)
| Benchmark | Llama2 70b Steerlm Chat | o1-mini |
|---|---|---|
| LMArena Text | 1098 | 1317 |
| LMArena Creative Writing | 1091 | 1244 |
| LMArena Multi-Turn | 1058 | 1314 |
| Short-Story Creative Writing | — | 64.9% |
| LiveBench Language | — | 40.9% |
Frequently asked questions
Is Llama2 70b Steerlm Chat better than o1-mini?
o1-mini is the stronger model overall, scoring 34.0 to 31.8 on the Noometry Index.
Is Llama2 70b Steerlm Chat or o1-mini better for coding?
o1-mini scores higher on coding benchmarks: 35.5 versus 29.9 in the Noometry coding category.
How many benchmarks do Llama2 70b Steerlm Chat and o1-mini share?
9 benchmarks have published results for both models. Llama2 70b Steerlm Chat has 9 scored results on Noometry and o1-mini has 39.