Model comparison

DeepSeek V4 Pro vs Cohere Command R7B

Compare DeepSeek V4 Pro vs Cohere Command R7B API pricing: input/output token costs, cache pricing, context windows, workload estimates, and routing fit.

DeepSeek V4 Pro

deepseek · deepseek-v4-pro

Input
$1.32
Output
$3.96
Context
1M

Cohere Command R7B

cohere_chat · command-r7b-12-2024

Input
$0.037
Output
$0.15
Context
128K

Quick take

Cohere Command R7B has the lower input price at $0.037 per 1M input tokens. Cohere Command R7B is cheaper for the example blended workload below. DeepSeek V4 Pro has the larger context window at 1M tokens.

Choose DeepSeek V4 Pro if...

  • DeepSeek V4 Pro is safer for long documents, repository analysis, and RAG prompts because it has the larger context window.
  • DeepSeek V4 Pro gives more room for long generated answers, reports, or code output.
  • DeepSeek V4 Pro is stronger when the same large prompt or document is reused because it supports prompt caching.

Choose Cohere Command R7B if...

  • Cohere Command R7B is the better default for cost-sensitive traffic and repeated high-volume calls.

Example workload cost

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

Workload DeepSeek V4 Pro Cohere Command R7B Cheaper
1M input + 200K output $2.11 $0.07 Cohere Command R7B
10M input + 2M output $21.12 $0.68 Cohere Command R7B
100M input + 20M output $211.20 $6.75 Cohere Command R7B

Context, output, and capability fit

DeepSeek V4 Pro provides the larger context window. Check max output separately when the task needs long reports, code generation, or full-document rewrites.

DeepSeek V4 Pro max output
384K
Cohere Command R7B max output
4K
DeepSeek V4 Pro features
prompt caching, function calling
Cohere Command R7B features
function calling

Risk notes for DeepSeek V4 Pro

  • No major capability risk is flagged in this snapshot, but provider pages should still be verified before production routing.

Risk notes for Cohere Command R7B

  • Smaller context window: long PDFs, codebases, or RAG prompts may need chunking.
  • No prompt caching in this snapshot: repeated long-context calls may be more expensive.

Routing tags

frontierpremiumcodingreasoningagentsopen-weightlong-contextcache-friendlyraglocal-openbudgethigh-volumeenterprise-rag

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