Home / Compare / DeepSeek V4 Pro 0423 vs Llama 3.3 70B Instruct

DeepSeek V4 Pro 0423 vs Llama 3.3 70B Instruct

For a typical chat reply (2,000 tokens in, 400 out), DeepSeek V4 Pro 0423 costs 8.2× as much as Llama 3.3 70B Instruct: $2.67 against $0.328 per 1,000 requests at list price on 2026-09-28.

DeepSeek V4 Pro 0423Llama 3.3 70B Instruct
Input, per 1M tokens$0.955$0.10
Output, per 1M tokens$1.91$0.32
Context window1.05M131K
Classification or routing (600 tokens in, 10 out), per 1,000$0.592$0.0632
Chat reply (2,000 in, 400 out), per 1,000$2.67$0.328
Retrieval-augmented answer (8,000 in, 500 out), per 1,000$8.60$0.96
Confidence signalyesyes
Tool callingyesyes
BANKING77, correct of 400not measured305

Which one should carry your traffic?

If Llama 3.3 70B Instruct answers your requests as well as DeepSeek V4 Pro 0423, moving that traffic saves 88% on chat-shaped requests. Averages cannot tell you whether it does for your requests. Llama 3.3 70B Instruct exposes a confidence signal, so Gimbix can let it answer first and hand unsure cases to DeepSeek V4 Pro 0423.

DeepSeek V4 Pro 0423 profile · Llama 3.3 70B Instruct profile · Measure it on your traffic