GPT-5.3-Codex vs Llama 3.1 70B (Instruct)
Compare GPT-5.3-Codex by OpenAI against Llama 3.1 70B (Instruct) by Meta AI, context windows of 400K vs 128K, tested across 51 shared challenges. Updated April 2026.
Which is better, GPT-5.3-Codex or Llama 3.1 70B (Instruct)?
GPT-5.3-Codex and Llama 3.1 70B (Instruct) are both competitive models. GPT-5.3-Codex costs $1.75/M input tokens vs $0.59/M for Llama 3.1 70B (Instruct). Context windows: 400K vs 128K tokens. Compare their real outputs side by side below.
Key Differences Between GPT-5.3-Codex and Llama 3.1 70B (Instruct)
GPT-5.3-Codex is made by openai while Llama 3.1 70B (Instruct) is from meta. GPT-5.3-Codex has a 400K token context window compared to Llama 3.1 70B (Instruct)'s 128K. On pricing, GPT-5.3-Codex costs $1.75/M input tokens vs $0.59/M for Llama 3.1 70B (Instruct).
No community votes yet. On paper, GPT-5.3-Codex has the edge — bigger model tier, newer, bigger context window.
Llama 3.1 70B (Instruct) is 18x cheaper per token — worth considering if cost matters.
Style Comparison
GPT-5.3-Codex uses 15.8x more emoji
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185x
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We read every word. 250 models. 2.14 million words. This is what we found.
