Model comparison
Llama 3.2 3B vs Llama2 70b Steerlm Chat
Llama2 70b Steerlm Chat is the stronger model overall, scoring 31.8 to 28.9 on the Noometry Index.
Last verified . 9 shared benchmarks.
Meta
NVIDIASummary
- They share 9 benchmarks with published results for both. Llama 3.2 3B scores higher in 4 categories and Llama2 70b Steerlm Chat in 3 categories; 7 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where Llama2 70b Steerlm Chat leads 31.6 to 24.7.
Side by side
| Llama 3.2 3B | Llama2 70b Steerlm Chat | |
|---|---|---|
| Provider | Meta | NVIDIA |
| Noometry Index | 28.9 | 31.8 |
| Released | 2024-09-24 | — |
| Weights | Open | Open |
| Context window | 131K | — |
| Max output | 118K | — |
| Input $ / M tokens | $0.05 | — |
| Output $ / M tokens | $0.33 | — |
| Results tracked | 18 | 9 |
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Category by category
Coding Llama2 70b Steerlm Chat leads
Llama 3.2 3B: 27.6 (#319), Llama2 70b Steerlm Chat: 29.9 (#300)
| Benchmark | Llama 3.2 3B | Llama2 70b Steerlm Chat |
|---|---|---|
| LMArena Coding | 1098 | 1025 |
| BigCodeBench Instruct | 23.4% | — |
| BigCodeBench Complete | 28.3% | — |
Agentic & Tool Use Not comparable
Llama 3.2 3B: 20.1 (#143), Llama2 70b Steerlm Chat: —
| Benchmark | Llama 3.2 3B | Llama2 70b Steerlm Chat |
|---|---|---|
| Berkeley Function Calling Leaderboard | 21.9% | — |
| BALROG | 10.1% | — |
Reasoning Llama 3.2 3B leads
Llama 3.2 3B: 21.0 (#228), Llama2 70b Steerlm Chat: 20.0 (#246)
| Benchmark | Llama 3.2 3B | Llama2 70b Steerlm Chat |
|---|---|---|
| LMArena Hard Prompts | 1095 | 1047 |
Math Llama 3.2 3B leads
Llama 3.2 3B: 32.4 (#214), Llama2 70b Steerlm Chat: 31.3 (#226)
| Benchmark | Llama 3.2 3B | Llama2 70b Steerlm Chat |
|---|---|---|
| LMArena Math | 1126 | 1072 |
Knowledge Not comparable
Llama 3.2 3B: 29.7 (#235), Llama2 70b Steerlm Chat: —
| Benchmark | Llama 3.2 3B | Llama2 70b Steerlm Chat |
|---|---|---|
| LMArena Expert | 1090 | — |
Multilingual Llama2 70b Steerlm Chat leads
Llama 3.2 3B: 26.2 (#281), Llama2 70b Steerlm Chat: 28.8 (#270)
| Benchmark | Llama 3.2 3B | Llama2 70b Steerlm Chat |
|---|---|---|
| LMArena Non-English | 1019 | 1063 |
| LMArena Chinese | 1017 | — |
| LMArena German | 1056 | — |
| LMArena Russian | 949 | — |
Instruction Following Llama 3.2 3B leads
Llama 3.2 3B: 56.0 (#275), Llama2 70b Steerlm Chat: 54.2 (#279)
| Benchmark | Llama 3.2 3B | Llama2 70b Steerlm Chat |
|---|---|---|
| LMArena Instruction Following | 1089 | 1060 |
Long Context Llama 3.2 3B leads
Llama 3.2 3B: 33.4 (#261), Llama2 70b Steerlm Chat: 30.4 (#288)
| Benchmark | Llama 3.2 3B | Llama2 70b Steerlm Chat |
|---|---|---|
| LMArena Longer Query | 1100 | 998 |
Writing & Preference Llama2 70b Steerlm Chat leads
Llama 3.2 3B: 24.7 (#307), Llama2 70b Steerlm Chat: 31.6 (#283)
| Benchmark | Llama 3.2 3B | Llama2 70b Steerlm Chat |
|---|---|---|
| LMArena Text | 1110 | 1098 |
| LMArena Creative Writing | 1094 | 1091 |
| LMArena Multi-Turn | 1105 | 1058 |
| EQ-Bench Creative Writing | 595 | — |
Frequently asked questions
Is Llama 3.2 3B better than Llama2 70b Steerlm Chat?
Llama2 70b Steerlm Chat is the stronger model overall, scoring 31.8 to 28.9 on the Noometry Index.
Is Llama 3.2 3B or Llama2 70b Steerlm Chat better for coding?
Llama2 70b Steerlm Chat scores higher on coding benchmarks: 29.9 versus 27.6 in the Noometry coding category.
How many benchmarks do Llama 3.2 3B and Llama2 70b Steerlm Chat share?
9 benchmarks have published results for both models. Llama 3.2 3B has 18 scored results on Noometry and Llama2 70b Steerlm Chat has 9.