Model comparison

Llama 3.1-70B vs Phi-3.5-mini

Llama 3.1-70B has enough public results to be ranked (#308); Phi-3.5-mini does not yet, so treat this comparison as directional.

Last verified . 2 shared benchmarks.

Llama 3.1-70B Meta

29.6

Rank #308 Confirmed

Phi-3.5-mini Microsoft

36.9

Unranked Sparse

Summary

  • They share 2 benchmarks with published results for both. Llama 3.1-70B scores higher in 0 categories and Phi-3.5-mini in 1 category; one gap is clear of the uncertainty.
  • The widest gap is in coding, where Phi-3.5-mini leads 34.6 to 30.3.
  • The biggest single-benchmark swing is BigCodeBench Complete: 54.8% for Llama 3.1-70B and 38.5% for Phi-3.5-mini.

Side by side

Llama 3.1-70B and Phi-3.5-mini specifications
Llama 3.1-70BPhi-3.5-mini
ProviderMetaMicrosoft
Noometry Index29.636.9
Released2024-07-232024-08-16
WeightsOpenOpen
Context window128K—
Max output4K—
Input $ / M tokens$0.40—
Output $ / M tokens$0.40—
Results tracked355

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Category by category

Coding Phi-3.5-mini leads

Llama 3.1-70B: 30.3 (#296), Phi-3.5-mini: 34.6 (#232)

Coding benchmarks
BenchmarkLlama 3.1-70BPhi-3.5-mini
BigCodeBench Instruct46.1%32.8%
BigCodeBench Complete54.8%38.5%
WeirdML9%—
LMArena Coding1260—

Agentic & Tool Use Not comparable

Llama 3.1-70B: 25.1 (#112), Phi-3.5-mini: —

Agentic & Tool Use benchmarks
BenchmarkLlama 3.1-70BPhi-3.5-mini
TheAgentCompany6.9%—
BALROG27.9%—

Reasoning Not comparable

Llama 3.1-70B: 21.6 (#220), Phi-3.5-mini: —

Reasoning benchmarks
BenchmarkLlama 3.1-70BPhi-3.5-mini
LMArena Hard Prompts1241—
DTBench60%—
LMCA14.8%—
Epoch Capabilities Index125.92—
PIQA—81%

Math Not comparable

Llama 3.1-70B: 13.5 (#304), Phi-3.5-mini: —

Math benchmarks
BenchmarkLlama 3.1-70BPhi-3.5-mini
OTIS Mock AIME 2024-20253.6%—
Omni-MATH21%—
LMArena Math1252—
MATH Level 536.7%—
GSM8K—86.2%

Knowledge Not comparable

Llama 3.1-70B: 24.2 (#269), Phi-3.5-mini: —

Knowledge benchmarks
BenchmarkLlama 3.1-70BPhi-3.5-mini
GPQA Diamond44.2%—
MMLU-Pro65.3%—
GPQA (HELM)42.6%—
LMArena Expert1209—
BoolQ—78%
MMLU80.1%—

Multilingual Not comparable

Llama 3.1-70B: 38.8 (#225), Phi-3.5-mini: —

Multilingual benchmarks
BenchmarkLlama 3.1-70BPhi-3.5-mini
LMArena Non-English1219—
LMArena Chinese1215—
LMArena French1261—
LMArena German1222—
LMArena Japanese1132—
LMArena Korean1140—
LMArena Russian1234—
LMArena Spanish1253—

Instruction Following Not comparable

Llama 3.1-70B: 65.3 (#223), Phi-3.5-mini: —

Instruction Following benchmarks
BenchmarkLlama 3.1-70BPhi-3.5-mini
IFEval82.1%—
LMArena Instruction Following1231—

Long Context Not comparable

Llama 3.1-70B: 37.6 (#214), Phi-3.5-mini: —

Long Context benchmarks
BenchmarkLlama 3.1-70BPhi-3.5-mini
LMArena Longer Query1241—

Writing & Preference Not comparable

Llama 3.1-70B: 35.4 (#267), Phi-3.5-mini: —

Writing & Preference benchmarks
BenchmarkLlama 3.1-70BPhi-3.5-mini
LMArena Text1261—
LMArena Creative Writing1232—
EQ-Bench Creative Writing784—
WildBench75.8%—
LMArena Multi-Turn1256—

Frequently asked questions

Is Llama 3.1-70B better than Phi-3.5-mini?

Llama 3.1-70B has enough public results to be ranked (#308); Phi-3.5-mini does not yet, so treat this comparison as directional.

Is Llama 3.1-70B or Phi-3.5-mini better for coding?

Phi-3.5-mini scores higher on coding benchmarks: 34.6 versus 30.3 in the Noometry coding category.

How many benchmarks do Llama 3.1-70B and Phi-3.5-mini share?

2 benchmarks have published results for both models. Llama 3.1-70B has 35 scored results on Noometry and Phi-3.5-mini has 5.

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