Model comparison

Llama 3.1-70B vs Llama 3-70B

Llama 3.1-70B and Llama 3-70B score almost the same on the Noometry Index (29.6 vs 28.8), so choose on price, context window or the category you care about most.

Last verified . 25 shared benchmarks.

Llama 3.1-70B Meta

29.6

Rank #308 Confirmed

Llama 3-70B Meta

28.8

Rank #323 Confirmed

Summary

  • They share 25 benchmarks with published results for both. Llama 3.1-70B scores higher in 7 categories and Llama 3-70B in 2 categories; 8 gaps are clear of the uncertainty.
  • The widest gap is in writing & preference, where Llama 3-70B leads 42.8 to 35.4.
  • The biggest single-benchmark swing is MATH Level 5: 36.7% for Llama 3.1-70B and 22.6% for Llama 3-70B.

Side by side

Llama 3.1-70B and Llama 3-70B specifications
Llama 3.1-70BLlama 3-70B
ProviderMetaMeta
Noometry Index29.628.8
Released2024-07-232024-04-18
WeightsOpenOpen
Context window128K—
Max output4K—
Input $ / M tokens$0.40—
Output $ / M tokens$0.40—
Results tracked3531

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Category by category

Coding Llama 3-70B leads

Llama 3.1-70B: 30.3 (#296), Llama 3-70B: 35.8 (#218)

Coding benchmarks
BenchmarkLlama 3.1-70BLlama 3-70B
BigCodeBench Instruct46.1%43.6%
LMArena Coding12601206
BigCodeBench Complete54.8%54.5%
WeirdML9%—
HumanEval+—72%
MBPP+—69%

Agentic & Tool Use Llama 3.1-70B leads

Llama 3.1-70B: 25.1 (#112), Llama 3-70B: 21.1 (#139)

Agentic & Tool Use benchmarks
BenchmarkLlama 3.1-70BLlama 3-70B
TheAgentCompany6.9%—
Cybench—5%
BALROG27.9%—

Reasoning Llama 3.1-70B leads

Llama 3.1-70B: 21.6 (#220), Llama 3-70B: 18.0 (#288)

Reasoning benchmarks
BenchmarkLlama 3.1-70BLlama 3-70B
LMArena Hard Prompts12411195
DTBench60%54.2%
Epoch Capabilities Index125.92122.93
Kagi LLM Benchmark—35.1%
LMCA14.8%—
ForecastBench—57.1
WinoGrande—83.5%

Math Too close to call

Llama 3.1-70B: 13.5 (#304), Llama 3-70B: 12.8 (#305)

Math benchmarks
BenchmarkLlama 3.1-70BLlama 3-70B
OTIS Mock AIME 2024-20253.6%4.3%
LMArena Math12521218
MATH Level 536.7%22.6%
Omni-MATH21%—

Knowledge Llama 3.1-70B leads

Llama 3.1-70B: 24.2 (#269), Llama 3-70B: 20.8 (#277)

Knowledge benchmarks
BenchmarkLlama 3.1-70BLlama 3-70B
GPQA Diamond44.2%40.6%
LMArena Expert12091149
MMLU80.1%79.3%
MMLU-Pro65.3%—
GPQA (HELM)42.6%—

Multilingual Llama 3.1-70B leads

Llama 3.1-70B: 38.8 (#225), Llama 3-70B: 33.6 (#251)

Multilingual benchmarks
BenchmarkLlama 3.1-70BLlama 3-70B
LMArena Non-English12191142
LMArena Chinese12151114
LMArena French12611232
LMArena German12221169
LMArena Japanese11321017
LMArena Korean11401017
LMArena Russian12341159
LMArena Spanish12531241

Instruction Following Llama 3.1-70B leads

Llama 3.1-70B: 65.3 (#223), Llama 3-70B: 62.5 (#238)

Instruction Following benchmarks
BenchmarkLlama 3.1-70BLlama 3-70B
LMArena Instruction Following12311194
IFEval82.1%—

Long Context Llama 3.1-70B leads

Llama 3.1-70B: 37.6 (#214), Llama 3-70B: 35.6 (#240)

Long Context benchmarks
BenchmarkLlama 3.1-70BLlama 3-70B
LMArena Longer Query12411174

Writing & Preference Llama 3-70B leads

Llama 3.1-70B: 35.4 (#267), Llama 3-70B: 42.8 (#231)

Writing & Preference benchmarks
BenchmarkLlama 3.1-70BLlama 3-70B
LMArena Text12611221
LMArena Creative Writing12321210
LMArena Multi-Turn12561223
EQ-Bench Creative Writing784—
WildBench75.8%—

Frequently asked questions

Is Llama 3.1-70B better than Llama 3-70B?

Llama 3.1-70B and Llama 3-70B score almost the same on the Noometry Index (29.6 vs 28.8), so choose on price, context window or the category you care about most.

Is Llama 3.1-70B or Llama 3-70B better for coding?

Llama 3-70B scores higher on coding benchmarks: 35.8 versus 30.3 in the Noometry coding category.

How many benchmarks do Llama 3.1-70B and Llama 3-70B share?

25 benchmarks have published results for both models. Llama 3.1-70B has 35 scored results on Noometry and Llama 3-70B has 31.

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