Model comparison
Llama2 70b Steerlm Chat vs Phi-4
Llama2 70b Steerlm Chat and Phi-4 score almost the same on the Noometry Index (31.8 vs 31.2), so choose on price, context window or the category you care about most.
Last verified . 9 shared benchmarks.
NVIDIA
MicrosoftSummary
- They share 9 benchmarks with published results for both. Llama2 70b Steerlm Chat scores higher in 2 categories and Phi-4 in 5 categories; 7 gaps are clear of the uncertainty.
- The widest gap is in math, where Llama2 70b Steerlm Chat leads 31.3 to 20.8.
Side by side
| Llama2 70b Steerlm Chat | Phi-4 | |
|---|---|---|
| Provider | NVIDIA | Microsoft |
| Noometry Index | 31.8 | 31.2 |
| Released | — | 2024-12-11 |
| Weights | Open | Open |
| Context window | — | 128K |
| Max output | — | 4K |
| Input $ / M tokens | — | $0.07 |
| Output $ / M tokens | — | $0.14 |
| Results tracked | 9 | 37 |
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Category by category
Coding Phi-4 leads
Llama2 70b Steerlm Chat: 29.9 (#300), Phi-4: 34.4 (#239)
| Benchmark | Llama2 70b Steerlm Chat | Phi-4 |
|---|---|---|
| LMArena Coding | 1025 | 1231 |
| BigCodeBench Instruct | — | 45.5% |
| LiveBench Coding | — | 30.7% |
| BigCodeBench Complete | — | 55.4% |
Agentic & Tool Use Not comparable
Llama2 70b Steerlm Chat: —, Phi-4: 22.8 (#128)
| Benchmark | Llama2 70b Steerlm Chat | Phi-4 |
|---|---|---|
| Berkeley Function Calling Leaderboard | — | 28.8% |
| BALROG | — | 11.6% |
Reasoning Llama2 70b Steerlm Chat leads
Llama2 70b Steerlm Chat: 20.0 (#246), Phi-4: 17.7 (#291)
| Benchmark | Llama2 70b Steerlm Chat | Phi-4 |
|---|---|---|
| LMArena Hard Prompts | 1047 | 1220 |
| Chess Puzzles | — | 1% |
| LiveBench Reasoning | — | 47.8% |
| LiveBench Data Analysis | — | 45.2% |
| Epoch Capabilities Index | — | 130.42 |
| LiveBench | — | 41.6% |
Math Llama2 70b Steerlm Chat leads
Llama2 70b Steerlm Chat: 31.3 (#226), Phi-4: 20.8 (#285)
| Benchmark | Llama2 70b Steerlm Chat | Phi-4 |
|---|---|---|
| LMArena Math | 1072 | 1246 |
| OTIS Mock AIME 2024-2025 | — | 13.8% |
| LiveBench Math | — | 42% |
| MATH Level 5 | — | 64.9% |
Knowledge Not comparable
Llama2 70b Steerlm Chat: —, Phi-4: 32.6 (#209)
| Benchmark | Llama2 70b Steerlm Chat | Phi-4 |
|---|---|---|
| GPQA Diamond | — | 56.1% |
| Confabulations | — | 29.4% |
| Vectara Hallucination Rate | — | 3.7% |
| LMArena Expert | — | 1203 |
| MMLU | — | 84.8% |
Multilingual Phi-4 leads
Llama2 70b Steerlm Chat: 28.8 (#270), Phi-4: 37.2 (#237)
| Benchmark | Llama2 70b Steerlm Chat | Phi-4 |
|---|---|---|
| LMArena Non-English | 1063 | 1197 |
| LMArena Chinese | — | 1212 |
| LMArena French | — | 1224 |
| LMArena German | — | 1222 |
| LMArena Japanese | — | 1158 |
| LMArena Korean | — | 1151 |
| LMArena Russian | — | 1209 |
| LMArena Spanish | — | 1234 |
Instruction Following Phi-4 leads
Llama2 70b Steerlm Chat: 54.2 (#279), Phi-4: 60.4 (#251)
| Benchmark | Llama2 70b Steerlm Chat | Phi-4 |
|---|---|---|
| LMArena Instruction Following | 1060 | 1201 |
| LiveBench Instruction Following | — | 58.4% |
Long Context Phi-4 leads
Llama2 70b Steerlm Chat: 30.4 (#288), Phi-4: 36.9 (#226)
| Benchmark | Llama2 70b Steerlm Chat | Phi-4 |
|---|---|---|
| LMArena Longer Query | 998 | 1217 |
Writing & Preference Phi-4 leads
Llama2 70b Steerlm Chat: 31.6 (#283), Phi-4: 40.5 (#244)
| Benchmark | Llama2 70b Steerlm Chat | Phi-4 |
|---|---|---|
| LMArena Text | 1098 | 1217 |
| LMArena Creative Writing | 1091 | 1182 |
| LMArena Multi-Turn | 1058 | 1206 |
| Short-Story Creative Writing | — | 62.6% |
| LiveBench Language | — | 25.6% |
Frequently asked questions
Is Llama2 70b Steerlm Chat better than Phi-4?
Llama2 70b Steerlm Chat and Phi-4 score almost the same on the Noometry Index (31.8 vs 31.2), so choose on price, context window or the category you care about most.
Is Llama2 70b Steerlm Chat or Phi-4 better for coding?
Phi-4 scores higher on coding benchmarks: 34.4 versus 29.9 in the Noometry coding category.
How many benchmarks do Llama2 70b Steerlm Chat and Phi-4 share?
9 benchmarks have published results for both models. Llama2 70b Steerlm Chat has 9 scored results on Noometry and Phi-4 has 37.