DeepSeek V3.2 Reasoner vs Mistral Large 3: Pricing Comparison
Compare pricing, capabilities, and costs for your LLM workloads.
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
Mistral
Mistral Large 3
Pricing (per 1M tokens)
Input$0.5000
Output$1.50
Context & Output
Context Window262.1K tokens
Max Output32.8K tokens
Capabilities
Categoryflagship
Multimodaltext
Fine-tuningNo
StreamingYes
Quick Verdict
Cheaper Input Price
DeepSeek V3.2 Reasoner
44.0% cheaper
Cheaper Output Price
DeepSeek V3.2 Reasoner
72.0% cheaper
Larger Context Window
Mistral Large 3
+134.1K tokens
Cost Comparison
Sample workload: 1,000,000 input tokens + 1,000,000 output tokens
DeepSeek V3.2 Reasoner
$0.7000
$0.2800/1M input + $0.4200/1M output
Mistral Large 3
$2.00
$0.5000/1M input + $1.50/1M output
DeepSeek V3.2 Reasoner is 65.0% cheaper for this workload.
Frequently Asked Questions
Which is cheaper, DeepSeek V3.2 Reasoner or Mistral Large 3?
For input tokens, DeepSeek V3.2 Reasoner is cheaper at $0.2800 per 1M tokens. For output tokens, DeepSeek V3.2 Reasoner is cheaper at $0.4200 per 1M tokens. The overall cost depends on your workload's input/output ratio.
What is the context window size of DeepSeek V3.2 Reasoner vs Mistral Large 3?
DeepSeek V3.2 Reasoner has a context window of 128K tokens, while Mistral Large 3 has 262.1K tokens. Mistral Large 3 supports a larger context window of 262.1K tokens, which is beneficial for processing longer documents.
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