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DeepSeek R1 V3.2 vs Mistral Small 3.2

Compare DeepSeek and Mistral AI AI models

DeepSeek
DeepSeek R1 V3.2
vs
Mistral AI
Mistral Small 3.2

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 Small 3.2

Per Request:$0.000175
Daily:$0.0175
Monthly:$0.525
Yearly:$6.3875

Cost Differences

$0.000315
Per Request
$0.0315
Daily
$0.945
Monthly
$11.4975
Yearly

Mistral Small 3.2 costs less than DeepSeek R1 V3.2

Feature Comparison

FeatureDeepSeek R1 V3.2Mistral Small 3.2
ProviderDeepSeekMistral AI
Input Price$0.28/1M tokens$0.075/1M tokens
Output Price$0.42/1M tokens$0.20/1M tokens
Context Window128,000 tokens128,000 tokens
Max Output65,536 tokens8,192 tokens
Categoryreasoningefficient
Capabilities
textreasoningcode
textcode
Release Date1/20/202512/2/2025

DeepSeek R1 V3.2 vs Mistral Small 3.2: Which Should You Choose?

Choosing between DeepSeek R1 V3.2 and Mistral Small 3.2 depends on your priorities: cost efficiency, context length, or raw capability. Mistral Small 3.2 is the more affordable option at $0.075/1M input tokens73% cheaper than DeepSeek R1 V3.2.

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 Small 3.2 is efficient. This means they're optimized for different workloads. DeepSeek R1 V3.2 is built for complex tasks that require deeper reasoning, while Mistral Small 3.2 offers better value for routine operations.

Output costs matter too. DeepSeek R1 V3.2 charges $0.42/1M output tokens vs $0.20 for Mistral Small 3.2. For generation-heavy workloads (content creation, code generation, summarization), output pricing often dominates your bill. Mistral Small 3.2 has the edge here at $0.20/1M output tokens.

Best Use Cases

Choose DeepSeek R1 V3.2 when:

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

Choose Mistral Small 3.2 when:

  • • Budget is a primary concern
  • • You're already using Mistral AI's API ecosystem
  • • You're running high-volume, latency-sensitive workloads

Try Different Scenarios

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

DeepSeek R1 V3.2 (DeepSeek)

Mistral Small 3.2 (Mistral AI)

Start using DeepSeek R1 V3.2 today

Sign Up for DeepSeek

Start using Mistral Small 3.2 today

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Frequently Asked Questions

Which is cheaper, DeepSeek R1 V3.2 or Mistral Small 3.2?
Mistral Small 3.2 is cheaper for input tokens at $0.075 per million tokens vs $0.28 for DeepSeek R1 V3.2 — that's 73% savings on input costs.
What is the context window difference between DeepSeek R1 V3.2 and Mistral Small 3.2?
DeepSeek R1 V3.2 supports 128,000 tokens while Mistral Small 3.2 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, Mistral Small 3.2 is the lower-cost option, while DeepSeek R1 V3.2 offers a larger context window (128,000 vs 128,000 tokens). Choose Mistral Small 3.2 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 Small 3.2 costs about $0.525/month. Overall, Mistral Small 3.2 has lower combined input + output rates ($0.075 in, $0.20 out) vs DeepSeek R1 V3.2.

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