Model comparison

GPT-6 Astra vs Cohere Command A

Compare GPT-6 Astra vs Cohere Command A API pricing: input/output token costs, cache pricing, context windows, workload estimates, and routing fit.

GPT-6 Astra

openai · gpt-6-astra

Input
$10
Output
$50
Context
1.1M

Cohere Command A

cohere_chat · command-a-03-2025

Input
$2.5
Output
$10
Context
256K

Quick take

Cohere Command A has the lower input price at $2.5 per 1M input tokens. Cohere Command A is cheaper for the example blended workload below. GPT-6 Astra has the larger context window at 1.1M tokens.

Choose GPT-6 Astra if...

  • GPT-6 Astra is safer for long documents, repository analysis, and RAG prompts because it has the larger context window.
  • GPT-6 Astra gives more room for long generated answers, reports, or code output.
  • GPT-6 Astra 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 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 GPT-6 Astra Cohere Command A Cheaper
1M input + 200K output $20.00 $4.50 Cohere Command A
10M input + 2M output $200.00 $45.00 Cohere Command A
100M input + 20M output $2,000.00 $450.00 Cohere Command A

Context, output, and capability fit

GPT-6 Astra provides the larger context window. Check max output separately when the task needs long reports, code generation, or full-document rewrites.

GPT-6 Astra max output
128K
Cohere Command A max output
8K
GPT-6 Astra features
prompt caching, function calling, vision
Cohere Command A features
function calling

Risk notes for GPT-6 Astra

  • High output price: cap max tokens for verbose generation workloads.

Risk notes for Cohere Command A

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

Routing tags

frontierpremiumreasoningcodingagentslong-contextmultimodalcache-friendlyragenterprise-rag

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