Llama 3.1 70B (Instruct)
Nothing here. The model returned empty. We stared at it for a while.
Llama 3.1 70B (Instruct) vs GPT-5
Compare Llama 3.1 70B (Instruct) by Meta AI against GPT-5 by OpenAI, context windows of 128K vs 400K, tested across 26 shared challenges. Updated April 2026.
Which is better, Llama 3.1 70B (Instruct) or GPT-5?
Llama 3.1 70B (Instruct) and GPT-5 are both competitive models. Llama 3.1 70B (Instruct) costs $0.59/M input tokens vs $1.25/M for GPT-5. Context windows: 128K vs 400K tokens. Compare their real outputs side by side below.
Key Differences Between Llama 3.1 70B (Instruct) and GPT-5
Llama 3.1 70B (Instruct) is made by meta while GPT-5 is from openai. Llama 3.1 70B (Instruct) has a 128K token context window compared to GPT-5's 400K. On pricing, Llama 3.1 70B (Instruct) costs $0.59/M input tokens vs $1.25/M for GPT-5.
Our Verdict
GPT-5
Llama 3.1 70B (Instruct)Runner-up
No community votes yet. On paper, GPT-5 has the edge — bigger model tier, newer, bigger context window.
Llama 3.1 70B (Instruct) is 13x cheaper per token — worth considering if cost matters.
Slight edge
Writing DNA
Style Comparison
Similarity
97%
GPT-5 uses 16.2x more headings
Llama 3.1 70B (Instruct)
GPT-5
51%Vocabulary65%
18wSentence Length13w
0.46Hedging0.20
3.4Bold0.2
5.6Lists4.6
0.00Emoji0.00
0.00Headings0.16
0.06Transitions0.03
Based on 15 + 16 text responses
vsAsk them anything yourself
279 AI models invented the same fake scientist.
We read every word. 250 models. 2.14 million words. This is what we found.
Free preview13 of 58 slides
FAQ