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DeepSeek R1 V3.2 vs Mistral Medium 3

Compare DeepSeek and Mistral AI AI models

DeepSeek
DeepSeek R1 V3.2
vs
Mistral AI
Mistral Medium 3

Cost Comparison (1000 input + 500 output tokens, 100 requests/day)

DeepSeek R1 V3.2

Per Request:$0.000490
Daily:$0.049
Monthly:$1.47
Yearly:$17.885

Mistral Medium 3

Per Request:$0.001400
Daily:$0.14
Monthly:$4.20
Yearly:$51.10

Cost Differences

+$0.000910
Per Request
+$0.091
Daily
+$2.73
Monthly
+$33.215
Yearly

Mistral Medium 3 costs more than DeepSeek R1 V3.2

Feature Comparison

FeatureDeepSeek R1 V3.2Mistral Medium 3
ProviderDeepSeekMistral AI
Input Price$0.28/1M tokens$0.40/1M tokens
Output Price$0.42/1M tokens$2.00/1M tokens
Context Window128,000 tokens128,000 tokens
Max Output65,536 tokens16,384 tokens
Categoryreasoningbalanced
Capabilities
textreasoningcode
textcode
Release Date1/20/20255/7/2025

DeepSeek R1 V3.2 vs Mistral Medium 3: Which Should You Choose?

Choosing between DeepSeek R1 V3.2 and Mistral Medium 3 depends on your priorities: cost efficiency, context length, or raw capability. DeepSeek R1 V3.2 is the more affordable option at $0.28/1M input tokens30% cheaper than Mistral Medium 3.

These models come from different providers — DeepSeek and Mistral AI — which means different API ecosystems, SDKs, rate limits, and terms of service. If you're already integrated with DeepSeek, switching to Mistral AIinvolves migration effort beyond just pricing. Factor in your existing infrastructure when deciding.

These models target different tiers: DeepSeek R1 V3.2 is a reasoning model while Mistral Medium 3 is balanced. This means they're optimized for different workloads. DeepSeek R1 V3.2 is built for complex tasks that require deeper reasoning, while Mistral Medium 3 offers better value for routine operations.

Output costs matter too. DeepSeek R1 V3.2 charges $0.42/1M output tokens vs $2.00 for Mistral Medium 3. For generation-heavy workloads (content creation, code generation, summarization), output pricing often dominates your bill. DeepSeek R1 V3.2 has the edge here at $0.42/1M output tokens.

Best Use Cases

Choose DeepSeek R1 V3.2 when:

  • • Budget is a primary concern
  • • You need more capabilities (reasoning)
  • • You need longer outputs (up to 65,536 tokens)
  • • You're already using DeepSeek's API ecosystem

Choose Mistral Medium 3 when:

  • • You're already using Mistral AI's API ecosystem

Try Different Scenarios

Use the calculator below to see how costs change with different usage patterns

DeepSeek R1 V3.2 (DeepSeek)

Mistral Medium 3 (Mistral AI)

Start using DeepSeek R1 V3.2 today

Sign Up for DeepSeek

Start using Mistral Medium 3 today

Sign Up for Mistral AI

Frequently Asked Questions

Which is cheaper, DeepSeek R1 V3.2 or Mistral Medium 3?
DeepSeek R1 V3.2 is cheaper for input tokens at $0.28 per million tokens vs $0.40 for Mistral Medium 3 — that's 30% savings on input costs.
What is the context window difference between DeepSeek R1 V3.2 and Mistral Medium 3?
DeepSeek R1 V3.2 supports 128,000 tokens while Mistral Medium 3 supports 128,000 tokens — a difference of 0 tokens in favor of DeepSeek R1 V3.2.
Which model is better for AI Chatbot?
Both models support text. For ai chatbot, DeepSeek R1 V3.2 is the lower-cost option, while DeepSeek R1 V3.2 offers a larger context window (128,000 vs 128,000 tokens). Choose DeepSeek R1 V3.2 for budget sensitivity or DeepSeek R1 V3.2 for longer context tasks.
Which model has better overall pricing for heavy usage?
At 100 requests/day with 1,000 input and 500 output tokens each, DeepSeek R1 V3.2 costs about $1.47/month and Mistral Medium 3 costs about $4.20/month. Overall, DeepSeek R1 V3.2 has lower combined input + output rates ($0.28 in, $0.42 out) vs Mistral Medium 3.

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