Llama 3.1 70B (Instruct) vs DeepSeek R1 0528

Compare Llama 3.1 70B (Instruct) by Meta AI against DeepSeek R1 0528 by DeepSeek, context windows of 128K vs 164K, tested across 26 shared challenges. Updated April 2026.

Which is better, Llama 3.1 70B (Instruct) or DeepSeek R1 0528?

Llama 3.1 70B (Instruct) and DeepSeek R1 0528 are both competitive models. Llama 3.1 70B (Instruct) costs $0.59/M input tokens vs $0/M for DeepSeek R1 0528. Context windows: 128K vs 164K tokens. Compare their real outputs side by side below.

Key Differences Between Llama 3.1 70B (Instruct) and DeepSeek R1 0528

Llama 3.1 70B (Instruct) is made by meta while DeepSeek R1 0528 is from deepseek. Llama 3.1 70B (Instruct) has a 128K token context window compared to DeepSeek R1 0528's 164K. On pricing, Llama 3.1 70B (Instruct) costs $0.59/M input tokens vs $0/M for DeepSeek R1 0528.

Our Verdict
DeepSeek R1 0528
DeepSeek R1 0528
Llama 3.1 70B (Instruct)
Llama 3.1 70B (Instruct)Runner-up

No community votes yet. On paper, DeepSeek R1 0528 has the edge — bigger model tier, newer.

Too close to call
Writing DNA

Style Comparison

Similarity
98%

DeepSeek R1 0528 uses 40.2x more headings

Llama 3.1 70B (Instruct)
DeepSeek R1 0528
51%Vocabulary64%
18wSentence Length10w
0.46Hedging0.30
3.4Bold6.8
5.6Lists4.9
0.00Emoji0.00
0.00Headings0.40
0.06Transitions0.00
Based on 15 + 4 text responses
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Llama 3.1 70B (Instruct)DeepSeek R1 0528
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