Model comparison
Llama 3.1-70B vs Phi-4 Mini
Phi-4 Mini is the stronger model overall, scoring 30.9 to 29.6 on the Noometry Index.
Last verified . 0 shared benchmarks.
Meta
MicrosoftSummary
- Phi-4 Mini is cheaper at $0.075 / $0.30 per million input/output tokens, against $0.40 / $0.40 for Llama 3.1-70B.
Side by side
| Llama 3.1-70B | Phi-4 Mini | |
|---|---|---|
| Provider | Meta | Microsoft |
| Noometry Index | 29.6 | 30.9 |
| Released | 2024-07-23 | 2024-12-11 |
| Weights | Open | Open |
| Context window | 128K | 128K |
| Max output | 4K | 4K |
| Input $ / M tokens | $0.40 | $0.075 |
| Output $ / M tokens | $0.40 | $0.30 |
| Results tracked | 35 | 3 |
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Category by category
Coding Llama 3.1-70B leads
Llama 3.1-70B: 30.3 (#296), Phi-4 Mini: 28.1 (#317)
| Benchmark | Llama 3.1-70B | Phi-4 Mini |
|---|---|---|
| SciCode | — | 10.8% |
| WeirdML | 9% | — |
| BigCodeBench Instruct | 46.1% | — |
| LMArena Coding | 1260 | — |
| BigCodeBench Complete | 54.8% | — |
Agentic & Tool Use Not comparable
Llama 3.1-70B: 25.1 (#112), Phi-4 Mini: —
| Benchmark | Llama 3.1-70B | Phi-4 Mini |
|---|---|---|
| TheAgentCompany | 6.9% | — |
| BALROG | 27.9% | — |
Reasoning Too close to call
Llama 3.1-70B: 21.6 (#220), Phi-4 Mini: 22.4 (#195)
| Benchmark | Llama 3.1-70B | Phi-4 Mini |
|---|---|---|
| CritPt | — | 0% |
| LMArena Hard Prompts | 1241 | — |
| DTBench | 60% | — |
| LMCA | 14.8% | — |
| Epoch Capabilities Index | 125.92 | — |
Math Not comparable
Llama 3.1-70B: 13.5 (#304), Phi-4 Mini: —
| Benchmark | Llama 3.1-70B | Phi-4 Mini |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 3.6% | — |
| Omni-MATH | 21% | — |
| LMArena Math | 1252 | — |
| MATH Level 5 | 36.7% | — |
Knowledge Phi-4 Mini leads
Llama 3.1-70B: 24.2 (#269), Phi-4 Mini: 25.3 (#262)
| Benchmark | Llama 3.1-70B | Phi-4 Mini |
|---|---|---|
| GPQA Diamond | 44.2% | — |
| MMLU-Pro | 65.3% | — |
| Vectara Hallucination Rate | — | 23.5% |
| GPQA (HELM) | 42.6% | — |
| LMArena Expert | 1209 | — |
| MMLU | 80.1% | — |
Multilingual Not comparable
Llama 3.1-70B: 38.8 (#225), Phi-4 Mini: —
| Benchmark | Llama 3.1-70B | Phi-4 Mini |
|---|---|---|
| LMArena Non-English | 1219 | — |
| LMArena Chinese | 1215 | — |
| LMArena French | 1261 | — |
| LMArena German | 1222 | — |
| LMArena Japanese | 1132 | — |
| LMArena Korean | 1140 | — |
| LMArena Russian | 1234 | — |
| LMArena Spanish | 1253 | — |
Instruction Following Not comparable
Llama 3.1-70B: 65.3 (#223), Phi-4 Mini: —
| Benchmark | Llama 3.1-70B | Phi-4 Mini |
|---|---|---|
| IFEval | 82.1% | — |
| LMArena Instruction Following | 1231 | — |
Long Context Not comparable
Llama 3.1-70B: 37.6 (#214), Phi-4 Mini: —
| Benchmark | Llama 3.1-70B | Phi-4 Mini |
|---|---|---|
| LMArena Longer Query | 1241 | — |
Writing & Preference Not comparable
Llama 3.1-70B: 35.4 (#267), Phi-4 Mini: —
| Benchmark | Llama 3.1-70B | Phi-4 Mini |
|---|---|---|
| LMArena Text | 1261 | — |
| LMArena Creative Writing | 1232 | — |
| EQ-Bench Creative Writing | 784 | — |
| WildBench | 75.8% | — |
| LMArena Multi-Turn | 1256 | — |
Frequently asked questions
Is Llama 3.1-70B better than Phi-4 Mini?
Phi-4 Mini is the stronger model overall, scoring 30.9 to 29.6 on the Noometry Index.
Which is cheaper, Llama 3.1-70B or Phi-4 Mini?
Phi-4 Mini is cheaper. It lists at $0.075 per million input tokens and $0.30 per million output tokens; Llama 3.1-70B lists at $0.40 and $0.40.
Is Llama 3.1-70B or Phi-4 Mini better for coding?
Llama 3.1-70B scores higher on coding benchmarks: 30.3 versus 28.1 in the Noometry coding category.
Which has the bigger context window?
Both accept 128K tokens.
How many benchmarks do Llama 3.1-70B and Phi-4 Mini share?
0 benchmarks have published results for both models. Llama 3.1-70B has 35 scored results on Noometry and Phi-4 Mini has 3.