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Model Services/Llama 3.1 8B Instruct vs DeepSeek V4 Pro
AWS Bedrock
DeepSeek

Llama 3.1 8B Instruct vs DeepSeek V4 Pro

2026 Stored listed rates & illustrative token-cost comparison

Illustrative Listed-Rate Difference
Llama 3.1 8B Instruct about 75% 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 3.1 8B Instruct lists approximately 75% lower than DeepSeek V4 Pro. For high-throughput production workloads, Llama 3.1 8B Instruct delivers superior unit economics; model your specific monthly workload below before migrating.
💡 10M Monthly Token Workload Simulation

Simulating a production workload (10M input + 2M output tokens): Llama 3.1 8B Instruct listed rate totals ~$2.64, while DeepSeek V4 Pro totals ~$10.56. Switching to Llama 3.1 8B Instruct yields ~$7.92/mo in raw token savings.

Model Your Workload →
Metric
Llama 3.1 8B Instruct (AWS Bedrock)
DeepSeek V4 Pro (DeepSeek)
Input listed rate
$0.22 / 1M Tokens
$0.66 / 1M Tokens
Output listed rate
$0.22 / 1M Tokens
$1.98 / 1M Tokens
Cached Input rate
—
$0.02 / 1M Tokens
Context Window
128K Tokens
1000K Tokens
Modality
llm
llm

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