Model comparison

DeepSeek Coder 1.3B vs Llama 3.1-70B

Llama 3.1-70B has enough public results to be ranked (#308); DeepSeek Coder 1.3B does not yet, so treat this comparison as directional.

Last verified . 4 shared benchmarks.

DeepSeek Coder 1.3B DeepSeek

35.0

Unranked Sparse

Llama 3.1-70B Meta

29.6

Rank #308 Confirmed

Summary

  • They share 4 benchmarks with published results for both. DeepSeek Coder 1.3B scores higher in 1 category and Llama 3.1-70B in 0 categories, but none of those gaps is larger than the uncertainty.
  • The biggest single-benchmark swing is BigCodeBench Complete: 29.6% for DeepSeek Coder 1.3B and 54.8% for Llama 3.1-70B.

Side by side

DeepSeek Coder 1.3B and Llama 3.1-70B specifications
DeepSeek Coder 1.3BLlama 3.1-70B
ProviderDeepSeekMeta
Noometry Index35.029.6
Released2023-11-022024-07-23
WeightsOpenOpen
Context window—128K
Max output—4K
Input $ / M tokens—$0.40
Output $ / M tokens—$0.40
Results tracked935

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Category by category

Coding Too close to call

DeepSeek Coder 1.3B: 31.2 (#287), Llama 3.1-70B: 30.3 (#296)

Coding benchmarks
BenchmarkDeepSeek Coder 1.3BLlama 3.1-70B
BigCodeBench Instruct22.8%46.1%
BigCodeBench Complete29.6%54.8%
WeirdML—9%
LMArena Coding—1260
HumanEval+60.4%—
MBPP+54.8%—

Agentic & Tool Use Not comparable

DeepSeek Coder 1.3B: —, Llama 3.1-70B: 25.1 (#112)

Agentic & Tool Use benchmarks
BenchmarkDeepSeek Coder 1.3BLlama 3.1-70B
TheAgentCompany—6.9%
BALROG—27.9%

Reasoning Not comparable

DeepSeek Coder 1.3B: —, Llama 3.1-70B: 21.6 (#220)

Reasoning benchmarks
BenchmarkDeepSeek Coder 1.3BLlama 3.1-70B
Epoch Capabilities Index63.6125.92
LMArena Hard Prompts—1241
DTBench—60%
LMCA—14.8%
WinoGrande53.3%—

Math Not comparable

DeepSeek Coder 1.3B: —, Llama 3.1-70B: 13.5 (#304)

Math benchmarks
BenchmarkDeepSeek Coder 1.3BLlama 3.1-70B
OTIS Mock AIME 2024-2025—3.6%
Omni-MATH—21%
LMArena Math—1252
MATH Level 5—36.7%
GSM8K4.4%—

Knowledge Not comparable

DeepSeek Coder 1.3B: —, Llama 3.1-70B: 24.2 (#269)

Knowledge benchmarks
BenchmarkDeepSeek Coder 1.3BLlama 3.1-70B
MMLU25.8%80.1%
GPQA Diamond—44.2%
MMLU-Pro—65.3%
GPQA (HELM)—42.6%
LMArena Expert—1209
ARC (AI2) Challenge25.4%—

Multilingual Not comparable

DeepSeek Coder 1.3B: —, Llama 3.1-70B: 38.8 (#225)

Multilingual benchmarks
BenchmarkDeepSeek Coder 1.3BLlama 3.1-70B
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

DeepSeek Coder 1.3B: —, Llama 3.1-70B: 65.3 (#223)

Instruction Following benchmarks
BenchmarkDeepSeek Coder 1.3BLlama 3.1-70B
IFEval—82.1%
LMArena Instruction Following—1231

Long Context Not comparable

DeepSeek Coder 1.3B: —, Llama 3.1-70B: 37.6 (#214)

Long Context benchmarks
BenchmarkDeepSeek Coder 1.3BLlama 3.1-70B
LMArena Longer Query—1241

Writing & Preference Not comparable

DeepSeek Coder 1.3B: —, Llama 3.1-70B: 35.4 (#267)

Writing & Preference benchmarks
BenchmarkDeepSeek Coder 1.3BLlama 3.1-70B
LMArena Text—1261
LMArena Creative Writing—1232
EQ-Bench Creative Writing—784
WildBench—75.8%
LMArena Multi-Turn—1256

Frequently asked questions

Is DeepSeek Coder 1.3B better than Llama 3.1-70B?

Llama 3.1-70B has enough public results to be ranked (#308); DeepSeek Coder 1.3B does not yet, so treat this comparison as directional.

Is DeepSeek Coder 1.3B or Llama 3.1-70B better for coding?

They score almost the same on coding (31.2 vs 30.3); test both on your own repository before choosing.

How many benchmarks do DeepSeek Coder 1.3B and Llama 3.1-70B share?

4 benchmarks have published results for both models. DeepSeek Coder 1.3B has 9 scored results on Noometry and Llama 3.1-70B has 35.

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