Mistral Nemo vs DeepSeek V3.2: Pricing Comparison
Compare pricing, capabilities, and costs for your LLM workloads.
Mistral
Mistral Nemo
Pricing (per 1M tokens)
Input$0.0200
Output$0.0400
Context & Output
Context Window131.1K tokens
Max Output32.8K tokens
Capabilities
Categorybudget
Multimodaltext
Fine-tuningNo
StreamingYes
DeepSeek
DeepSeek V3.2
Pricing (per 1M tokens)
Input$0.2800
Output$0.4200
Cached Input$0.0280
Context & Output
Context Window128K tokens
Max Output8.2K tokens
Capabilities
Categorybudget
Multimodaltext
Fine-tuningNo
StreamingYes
Quick Verdict
Cheaper Input Price
Mistral Nemo
92.9% cheaper
Cheaper Output Price
Mistral Nemo
90.5% cheaper
Larger Context Window
Mistral Nemo
+3.1K tokens
Cost Comparison
Sample workload: 1,000,000 input tokens + 1,000,000 output tokens
Mistral Nemo
$0.0600
$0.0200/1M input + $0.0400/1M output
DeepSeek V3.2
$0.7000
$0.2800/1M input + $0.4200/1M output
Mistral Nemo is 91.4% cheaper for this workload.
Frequently Asked Questions
Which is cheaper, Mistral Nemo or DeepSeek V3.2?
For input tokens, Mistral Nemo is cheaper at $0.0200 per 1M tokens. For output tokens, Mistral Nemo is cheaper at $0.0400 per 1M tokens. The overall cost depends on your workload's input/output ratio.
What is the context window size of Mistral Nemo vs DeepSeek V3.2?
Mistral Nemo has a context window of 131.1K tokens, while DeepSeek V3.2 has 128K tokens. Mistral Nemo supports a larger context window of 131.1K tokens, which is beneficial for processing longer documents.
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