Model comparison

Llama 3.1-70B vs Phi 3 Mini 4k Instruct

Llama 3.1-70B is the stronger model overall, scoring 29.6 to 27.9 on the Noometry Index.

Last verified . 18 shared benchmarks.

Llama 3.1-70B Meta

29.6

Rank #308 Confirmed

Phi 3 Mini 4k Instruct Microsoft

27.9

Rank #328 Confirmed

Summary

  • They share 18 benchmarks with published results for both. Llama 3.1-70B scores higher in 6 categories and Phi 3 Mini 4k Instruct in 2 categories; 8 gaps are clear of the uncertainty.
  • The widest gap is in instruction following, where Llama 3.1-70B leads 65.3 to 47.7.

Side by side

Llama 3.1-70B and Phi 3 Mini 4k Instruct specifications
Llama 3.1-70BPhi 3 Mini 4k Instruct
ProviderMetaMicrosoft
Noometry Index29.627.9
Released2024-07-232024-04-23
WeightsOpenOpen
Context window128K—
Max output4K—
Input $ / M tokens$0.40—
Output $ / M tokens$0.40—
Results tracked3535

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Category by category

Coding Llama 3.1-70B leads

Llama 3.1-70B: 30.3 (#296), Phi 3 Mini 4k Instruct: 26.6 (#323)

Coding benchmarks
BenchmarkLlama 3.1-70BPhi 3 Mini 4k Instruct
LMArena Coding12601093
WeirdML9%—
BigCodeBench Instruct46.1%—
LiveBench Coding—15.5%
BigCodeBench Complete54.8%—
HumanEval+—59.1%
MBPP+—54.2%

Agentic & Tool Use Not comparable

Llama 3.1-70B: 25.1 (#112), Phi 3 Mini 4k Instruct: —

Agentic & Tool Use benchmarks
BenchmarkLlama 3.1-70BPhi 3 Mini 4k Instruct
TheAgentCompany6.9%—
BALROG27.9%—

Reasoning Llama 3.1-70B leads

Llama 3.1-70B: 21.6 (#220), Phi 3 Mini 4k Instruct: 14.1 (#328)

Reasoning benchmarks
BenchmarkLlama 3.1-70BPhi 3 Mini 4k Instruct
LMArena Hard Prompts12411072
Chess Puzzles—0%
LiveBench Reasoning—26.8%
DTBench60%—
LiveBench Data Analysis—34.7%
LMCA14.8%—
Adversarial NLI—52.8%
BIG-Bench Hard—71.7%
Epoch Capabilities Index125.92—
HellaSwag—76.7%
LiveBench—22.4%
WinoGrande—70.8%

Math Phi 3 Mini 4k Instruct leads

Llama 3.1-70B: 13.5 (#304), Phi 3 Mini 4k Instruct: 26.6 (#257)

Math benchmarks
BenchmarkLlama 3.1-70BPhi 3 Mini 4k Instruct
LMArena Math12521111
OTIS Mock AIME 2024-20253.6%—
Omni-MATH21%—
LiveBench Math—15.7%
MATH Level 536.7%—

Knowledge Phi 3 Mini 4k Instruct leads

Llama 3.1-70B: 24.2 (#269), Phi 3 Mini 4k Instruct: 28.5 (#246)

Knowledge benchmarks
BenchmarkLlama 3.1-70BPhi 3 Mini 4k Instruct
LMArena Expert12091045
MMLU80.1%68.8%
GPQA Diamond44.2%—
MMLU-Pro65.3%—
GPQA (HELM)42.6%—
ARC (AI2) Challenge—84.9%
OpenBookQA—88%
TriviaQA—64%

Multilingual Llama 3.1-70B leads

Llama 3.1-70B: 38.8 (#225), Phi 3 Mini 4k Instruct: 26.3 (#280)

Multilingual benchmarks
BenchmarkLlama 3.1-70BPhi 3 Mini 4k Instruct
LMArena Non-English12191021
LMArena Chinese12151021
LMArena French12611076
LMArena German12221044
LMArena Japanese1132935
LMArena Korean1140905
LMArena Russian12341022
LMArena Spanish12531085

Instruction Following Llama 3.1-70B leads

Llama 3.1-70B: 65.3 (#223), Phi 3 Mini 4k Instruct: 47.7 (#303)

Instruction Following benchmarks
BenchmarkLlama 3.1-70BPhi 3 Mini 4k Instruct
LMArena Instruction Following12311053
LiveBench Instruction Following—39.1%
IFEval82.1%—

Long Context Llama 3.1-70B leads

Llama 3.1-70B: 37.6 (#214), Phi 3 Mini 4k Instruct: 31.7 (#276)

Long Context benchmarks
BenchmarkLlama 3.1-70BPhi 3 Mini 4k Instruct
LMArena Longer Query12411044

Writing & Preference Llama 3.1-70B leads

Llama 3.1-70B: 35.4 (#267), Phi 3 Mini 4k Instruct: 27.6 (#300)

Writing & Preference benchmarks
BenchmarkLlama 3.1-70BPhi 3 Mini 4k Instruct
LMArena Text12611073
LMArena Creative Writing12321037
LMArena Multi-Turn12561018
EQ-Bench Creative Writing784—
WildBench75.8%—
LiveBench Language—9.2%

Frequently asked questions

Is Llama 3.1-70B better than Phi 3 Mini 4k Instruct?

Llama 3.1-70B is the stronger model overall, scoring 29.6 to 27.9 on the Noometry Index.

Is Llama 3.1-70B or Phi 3 Mini 4k Instruct better for coding?

Llama 3.1-70B scores higher on coding benchmarks: 30.3 versus 26.6 in the Noometry coding category.

How many benchmarks do Llama 3.1-70B and Phi 3 Mini 4k Instruct share?

18 benchmarks have published results for both models. Llama 3.1-70B has 35 scored results on Noometry and Phi 3 Mini 4k Instruct has 35.

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