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DeepSeek R1 V3.2 vs DeepSeek V3.2

Pricing verdict: DeepSeek R1 V3.2 vs DeepSeek V3.2: pricing is a tie at $0.28/M input and $0.42/M output. There is no direct price edge, so choose based on capabilities and workflow fit.

Direct answer: pricing is a tie. Choose the model that best fits your capabilities, latency, and provider preferences.

Compare API pricing, input and output token costs, context windows, and monthly estimates on one page so you can pick the right model fast.

DeepSeek
DeepSeek R1 V3.2
vs
DeepSeek
DeepSeek V3.2

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

DeepSeek V3.2

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

Cost Differences

$0.00
Per Request
$0.00
Daily
$0.00
Monthly
$0.00
Yearly

Both models cost the same at the default workload.

Quick Recommendation

Direct API pricing is a tie at the default workload: both land around $1.47/month. Choose the model that better fits your workflow.

Feature Comparison

FeatureDeepSeek R1 V3.2DeepSeek V3.2
ProviderDeepSeekDeepSeek
Input Price$0.28/1M tokens$0.28/1M tokens
Output Price$0.42/1M tokens$0.42/1M tokens
Context Window128,000 tokens128,000 tokens
Max Output65,536 tokens32,768 tokens
Categoryreasoningefficient
Capabilities
textreasoningcode
textcodereasoning
Release Date1/20/202512/1/2025

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

Choosing between DeepSeek R1 V3.2 and DeepSeek V3.2 depends on your priorities: cost efficiency, context length, or raw capability. Both models cost the same on input and output tokens, so raw price is a tie.

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

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

Best Use Cases

Choose DeepSeek R1 V3.2 when:

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

Choose DeepSeek V3.2 when:

  • • You're already using DeepSeek's API ecosystem
  • • You're running high-volume, latency-sensitive workloads

Pros and Caveats at a Glance

DeepSeek R1 V3.2

  • Input pricing: $0.28/M tokens
  • Output pricing: $0.42/M tokens
  • Context window: 128,000 tokens
  • Max output: 65,536 tokens

Watch out for

  • Trade-offs are minor in this matchup.

DeepSeek V3.2

  • Input pricing: $0.28/M tokens
  • Output pricing: $0.42/M tokens
  • Context window: 128,000 tokens
  • Max output: 32,768 tokens

Watch out for

  • Trade-offs are minor in this matchup.

Try Different Scenarios

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

DeepSeek R1 V3.2 (DeepSeek)

DeepSeek V3.2 (DeepSeek)

Start using DeepSeek R1 V3.2 today

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Start using DeepSeek V3.2 today

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Frequently Asked Questions

Which is cheaper, DeepSeek R1 V3.2 or DeepSeek V3.2?
They are priced the same at $0.28 per million input tokens and $0.42 per million output tokens. There is no direct price or context edge, so choose based on capabilities, latency, or provider fit.
What is the context window difference between DeepSeek R1 V3.2 and DeepSeek V3.2?
DeepSeek R1 V3.2 supports 128,000 tokens while DeepSeek V3.2 supports 128,000 tokens — a difference of 0 tokens in favor of DeepSeek R1 V3.2.
Which model is better for AI Agent / Agentic Workflows?
Both models support text, code, reasoning, and direct token pricing is tied. For ai agent / agentic workflows, choose the model whose provider, tools, or latency profile fits better.
Which model has better overall pricing for heavy usage?
At 100 requests/day with 1,000 input and 500 output tokens each, both models land at about $1.47/month. There is no direct price winner at this workload, so decide based on context window, capabilities, and provider fit.

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