Model comparison

DeepSeek V3.2 vs Cohere Command A

Compare DeepSeek V3.2 vs Cohere Command A API pricing: input/output token costs, cache pricing, context windows, workload estimates, and routing fit.

DeepSeek V3.2

deepseek · deepseek/deepseek-v3.2

Input
$0.28
Output
$0.4
Context
163.8K

Cohere Command A

cohere_chat · command-a-03-2025

Input
$2.5
Output
$10
Context
256K

Quick take

DeepSeek V3.2 has the lower input price at $0.28 per 1M input tokens. DeepSeek V3.2 is cheaper for the example blended workload below. Cohere Command A has the larger context window at 256K tokens.

Choose DeepSeek V3.2 if...

  • DeepSeek V3.2 is the better default for cost-sensitive traffic and repeated high-volume calls.
  • DeepSeek V3.2 gives more room for long generated answers, reports, or code output.
  • DeepSeek V3.2 is stronger when the same large prompt or document is reused because it supports prompt caching.

Choose Cohere Command A if...

  • Cohere Command A is safer for long documents, repository analysis, and RAG prompts because it has the larger context window.

Example workload cost

Estimates use input tokens plus 20% output tokens. They exclude provider discounts, cache hits, and tool/search surcharges.

Workload DeepSeek V3.2 Cohere Command A Cheaper
1M input + 200K output $0.36 $4.50 DeepSeek V3.2
10M input + 2M output $3.60 $45.00 DeepSeek V3.2
100M input + 20M output $36.00 $450.00 DeepSeek V3.2

Context, output, and capability fit

Cohere Command A provides the larger context window. Check max output separately when the task needs long reports, code generation, or full-document rewrites.

DeepSeek V3.2 max output
163.8K
Cohere Command A max output
8K
DeepSeek V3.2 features
prompt caching, function calling
Cohere Command A features
function calling

Risk notes for DeepSeek V3.2

  • Smaller context window: long PDFs, codebases, or RAG prompts may need chunking.

Risk notes for Cohere Command A

  • No prompt caching in this snapshot: repeated long-context calls may be more expensive.

Routing tags

budgethigh-volumecodingreasoningopen-weightlocal-openenterprise-ragraglong-contextagents

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