Model comparison
Llama2 70b Steerlm Chat vs Mistral Nemo
Llama2 70b Steerlm Chat is the stronger model overall, scoring 31.8 to 26.4 on the Noometry Index.
Last verified . 0 shared benchmarks.
NVIDIA
Mistral AISummary
- The widest gap is in math, where Llama2 70b Steerlm Chat leads 31.3 to 25.5.
Side by side
| Llama2 70b Steerlm Chat | Mistral Nemo | |
|---|---|---|
| Provider | NVIDIA | Mistral AI |
| Noometry Index | 31.8 | 26.4 |
| Released | — | 2024-07-01 |
| Weights | Open | Open |
| Context window | — | 128K |
| Max output | — | 128K |
| Input $ / M tokens | — | $0.15 |
| Output $ / M tokens | — | $0.15 |
| Results tracked | 9 | 10 |
Sponsored placements are available on pages like this one. Advertise on Noometry
Category by category
Coding Not comparable
Llama2 70b Steerlm Chat: 29.9 (#300), Mistral Nemo: —
| Benchmark | Llama2 70b Steerlm Chat | Mistral Nemo |
|---|---|---|
| LMArena Coding | 1025 | — |
Agentic & Tool Use Not comparable
Llama2 70b Steerlm Chat: —, Mistral Nemo: 23.5 (#125)
| Benchmark | Llama2 70b Steerlm Chat | Mistral Nemo |
|---|---|---|
| Berkeley Function Calling Leaderboard | — | 27.6% |
| BALROG | — | 17.6% |
Reasoning Too close to call
Llama2 70b Steerlm Chat: 20.0 (#246), Mistral Nemo: 20.7 (#232)
| Benchmark | Llama2 70b Steerlm Chat | Mistral Nemo |
|---|---|---|
| LMArena Hard Prompts | 1047 | — |
| DTBench | — | 48.6% |
| Epoch Capabilities Index | — | 118.68 |
| PIQA | — | 83.5% |
Math Llama2 70b Steerlm Chat leads
Llama2 70b Steerlm Chat: 31.3 (#226), Mistral Nemo: 25.5 (#268)
| Benchmark | Llama2 70b Steerlm Chat | Mistral Nemo |
|---|---|---|
| LMArena Math | 1072 | — |
| MATH Level 5 | — | 10.8% |
| GSM8K | — | 84.2% |
Knowledge Not comparable
Llama2 70b Steerlm Chat: —, Mistral Nemo: 12.3 (#298)
| Benchmark | Llama2 70b Steerlm Chat | Mistral Nemo |
|---|---|---|
| GPQA Diamond | — | 29.9% |
| BoolQ | — | 82.5% |
Multilingual Not comparable
Llama2 70b Steerlm Chat: 28.8 (#270), Mistral Nemo: —
| Benchmark | Llama2 70b Steerlm Chat | Mistral Nemo |
|---|---|---|
| LMArena Non-English | 1063 | — |
Instruction Following Not comparable
Llama2 70b Steerlm Chat: 54.2 (#279), Mistral Nemo: —
| Benchmark | Llama2 70b Steerlm Chat | Mistral Nemo |
|---|---|---|
| LMArena Instruction Following | 1060 | — |
Long Context Not comparable
Llama2 70b Steerlm Chat: 30.4 (#288), Mistral Nemo: —
| Benchmark | Llama2 70b Steerlm Chat | Mistral Nemo |
|---|---|---|
| LMArena Longer Query | 998 | — |
Writing & Preference Llama2 70b Steerlm Chat leads
Llama2 70b Steerlm Chat: 31.6 (#283), Mistral Nemo: 28.5 (#296)
| Benchmark | Llama2 70b Steerlm Chat | Mistral Nemo |
|---|---|---|
| LMArena Text | 1098 | — |
| LMArena Creative Writing | 1091 | — |
| EQ-Bench Creative Writing | — | 881 |
| LMArena Multi-Turn | 1058 | — |
Frequently asked questions
Is Llama2 70b Steerlm Chat better than Mistral Nemo?
Llama2 70b Steerlm Chat is the stronger model overall, scoring 31.8 to 26.4 on the Noometry Index.
How many benchmarks do Llama2 70b Steerlm Chat and Mistral Nemo share?
0 benchmarks have published results for both models. Llama2 70b Steerlm Chat has 9 scored results on Noometry and Mistral Nemo has 10.