Mistral Nemo vs DeepSeek V4 Pro: 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 V4 Pro
Pricing (per 1M tokens)
Input$1.74
Output$3.48
Cached Input$0.1450
Context & Output
Context Window1M tokens
Max Output384K tokens
Capabilities
Categoryflagship
Multimodaltext
Fine-tuningNo
StreamingYes
Quick Verdict
Cheaper Input Price
Mistral Nemo
98.9% cheaper
Cheaper Output Price
Mistral Nemo
98.9% cheaper
Larger Context Window
DeepSeek V4 Pro
+868.9K 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 V4 Pro
$5.22
$1.74/1M input + $3.48/1M output
Mistral Nemo is 98.9% cheaper for this workload.
Frequently Asked Questions
Which is cheaper, Mistral Nemo or DeepSeek V4 Pro?
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 V4 Pro?
Mistral Nemo has a context window of 131.1K tokens, while DeepSeek V4 Pro has 1M tokens. DeepSeek V4 Pro supports a larger context window of 1M tokens, which is beneficial for processing longer documents.
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