Llama 4 Scout vs DeepSeek V3.2 Reasoner: Pricing Comparison
Compare pricing, capabilities, and costs for your LLM workloads.
Meta
Llama 4 Scout
Pricing (per 1M tokens)
Input$0.0800
Output$0.3000
Context & Output
Context Window327.7K tokens
Max Output32.8K tokens
Capabilities
Categorybudget
Multimodaltext + image
Fine-tuningNo
StreamingYes
DeepSeek
DeepSeek V3.2 Reasoner
Pricing (per 1M tokens)
Input$0.2800
Output$0.4200
Cached Input$0.0280
Context & Output
Context Window128K tokens
Max Output64K tokens
Capabilities
Categorymid
Multimodaltext
Fine-tuningNo
StreamingYes
Quick Verdict
Cheaper Input Price
Llama 4 Scout
71.4% cheaper
Cheaper Output Price
Llama 4 Scout
28.6% cheaper
Larger Context Window
Llama 4 Scout
+199.7K tokens
Cost Comparison
Sample workload: 1,000,000 input tokens + 1,000,000 output tokens
Llama 4 Scout
$0.3800
$0.0800/1M input + $0.3000/1M output
DeepSeek V3.2 Reasoner
$0.7000
$0.2800/1M input + $0.4200/1M output
Llama 4 Scout is 45.7% cheaper for this workload.
Frequently Asked Questions
Which is cheaper, Llama 4 Scout or DeepSeek V3.2 Reasoner?
For input tokens, Llama 4 Scout is cheaper at $0.0800 per 1M tokens. For output tokens, Llama 4 Scout is cheaper at $0.3000 per 1M tokens. The overall cost depends on your workload's input/output ratio.
What is the context window size of Llama 4 Scout vs DeepSeek V3.2 Reasoner?
Llama 4 Scout has a context window of 327.7K tokens, while DeepSeek V3.2 Reasoner has 128K tokens. Llama 4 Scout supports a larger context window of 327.7K tokens, which is beneficial for processing longer documents.
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