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GPT-5.6 Terra vs Claude Sonnet 5

The mid-tier option from each provider, where most production work lands.

Side by side

AttributeGPT-5.6 TerraClaude Sonnet 5
Input, per 1M tokens$2.00$2.00
Output, per 1M tokens$12.00$10.00
Context window1,050,0001,000,000
ProviderOpenAIAnthropic
Tokenizero200k_baseAnthropic tokenizer
Long-context tierabove 272,000none
Retiresno date announcedno date announced

Which to choose

Reading more than you write
Both $2 per million input. Input rate cannot separate this pair.
Writing more than you read
GPT-5.6 Terra prices output at 6x its input rate, Claude Sonnet 5 at 5x — so Claude Sonnet 5's lead narrows as answers lengthen.
Whole documents in one request
Claude Sonnet 5 stops at 1,000,000; GPT-5.6 Terra takes 1,050,000. Past the lower ceiling only GPT-5.6 Terra accepts the request, at any price.
Past the long-context threshold
The ranking inverts (GPT-5.6 Terra above 272,000): GPT-5.6 Terra wins below the line, Claude Sonnet 5 above it at $2 against $4. Judging this pair on headline rates alone gives the wrong answer for large prompts.
10,000 in, 1,000 out
$0.0320 on GPT-5.6 Terra, $0.0300 on Claude Sonnet 5. Over 10,000 such calls that is $20.00 in Claude Sonnet 5's favour.
How these counts were arrived at
GPT-5.6 Terra is counted exactly in your browser; Claude Sonnet 5 is estimated from a characters-per-token ratio. Close, not exact.

What this page does not tell you. Which model produces better answers. That depends on your task, and this site has no benchmark data — everything above is drawn from published pricing and specifications. Compare quality by running your own prompts through both.