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DeepSeek R1 V3.2 vs Devstral 2

Compare DeepSeek and Mistral AI AI models

DeepSeek
DeepSeek R1 V3.2
vs
Mistral AI
Devstral 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

Devstral 2

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

Devstral 2 costs more than DeepSeek R1 V3.2

Feature Comparison

FeatureDeepSeek R1 V3.2Devstral 2
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 tokens262,144 tokens
Max Output65,536 tokens32,768 tokens
Categoryreasoningefficient
Capabilities
textreasoningcode
textcode
Release Date1/20/202512/9/2025

DeepSeek R1 V3.2 vs Devstral 2: Which Should You Choose?

Choosing between DeepSeek R1 V3.2 and Devstral 2 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 Devstral 2. Meanwhile, Devstral 2 offers a significantly larger context window at 262,144 tokens vs 128,000 for 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 Devstral 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 Devstral 2 offers better value for routine operations.

Output costs matter too. DeepSeek R1 V3.2 charges $0.42/1M output tokens vs $2.00 for Devstral 2. 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 Devstral 2 when:

  • • You need a larger context window (262,144 tokens)
  • • 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)

Devstral 2 (Mistral AI)

Start using DeepSeek R1 V3.2 today

Sign Up for DeepSeek

Start using Devstral 2 today

Sign Up for Mistral AI

Frequently Asked Questions

Which is cheaper, DeepSeek R1 V3.2 or Devstral 2?
DeepSeek R1 V3.2 is cheaper for input tokens at $0.28 per million tokens vs $0.40 for Devstral 2 — that's 30% savings on input costs.
What is the context window difference between DeepSeek R1 V3.2 and Devstral 2?
DeepSeek R1 V3.2 supports 128,000 tokens while Devstral 2 supports 262,144 tokens — a difference of 134,144 tokens in favor of Devstral 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 Devstral 2 offers a larger context window (262,144 vs 128,000 tokens). Choose DeepSeek R1 V3.2 for budget sensitivity or Devstral 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 Devstral 2 costs about $4.20/month. Overall, DeepSeek R1 V3.2 has lower combined input + output rates ($0.28 in, $0.42 out) vs Devstral 2.

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