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Model Services/DeepSeek V4 Pro vs Llama 3.3 70B Instruct
DeepSeek
Meta

DeepSeek V4 Pro vs Llama 3.3 70B Instruct

2026 Stored listed rates & illustrative token-cost comparison

Llama 3.3 70B Instruct

Legacy / Superseded

Legacy / superseded version. Newer models are available; official or partner channels may still serve this version.

Replacement reference: meta-llama-llama-4-maverick
Illustrative Listed-Rate Difference
Llama 3.3 70B Instruct about 70% lower
1M input + 200K output tokens; not a monthly bill
📌 Executive Summary (TL;DR):Under a standard baseline of 1M input + 200K output tokens, Llama 3.3 70B Instruct lists approximately 70% lower than DeepSeek V4 Pro. For high-throughput production workloads, Llama 3.3 70B Instruct delivers superior unit economics; model your specific monthly workload below before migrating.(Price records last updated 2026-10-11 (UTC))
💡 10M Monthly Token Workload Simulation

Simulating a production workload (10M input + 2M output tokens): DeepSeek V4 Pro listed rate totals ~$10.56, while Llama 3.3 70B Instruct totals ~$3.20. Switching to Llama 3.3 70B Instruct yields ~$7.36/mo in raw token savings.

Model Your Workload →
Metric
DeepSeek V4 Pro (DeepSeek)
Llama 3.3 70B Instruct (Meta)
Input listed rate
$0.66 / 1M Tokens
$0.22 / 1M Tokens
Output listed rate
$1.98 / 1M Tokens
$0.50 / 1M Tokens
Cached Input rate
$0.02 / 1M Tokens
$0.11 / 1M Tokens
Context Window
1000K Tokens
131K Tokens
Modality
llm
llm

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