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GPT-6.1 Sol

OpenAI · Sorti sept. 2026

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Conditionnel

Conditional on evidence: GPT-6.1 Sol is OpenAI's model for complex coding, computer use and professional work, which OpenAI itself describes as near-Astra performance at a lower cost. We could not read the launch post, so no benchmark is stored and the quality claim is OpenAI's alone. Prompts past 272K input tokens bill at higher rates, and reasoning cannot be set to none or minimal. Suits teams building agents on the Responses API who will run their own evals first.

Est-ce fait pour vous ?

Recommandé pour

  • Complex coding, computer use and professional work, the use OpenAI names on its model page
  • Long inputs: a 1,050,000-token context window and up to 128,000 output tokens
  • Batch and Flex jobs at 50% below standard rates, $1 input and $5 output per 1M tokens at short context
  • Tool-heavy agents: web search, file search, code interpreter, hosted shell, apply patch, skills, computer use, MCP and tool search
  • Delegating to subagents inside one Responses API request, in beta
  • US and EU data residency

Déconseillé pour

  • Budgeting off the headline rate on long prompts: over 272K input tokens it bills $4 input and $15 output per 1M
  • Low-latency uses that need none or minimal reasoning effort: neither is supported
  • Fast mode with EU data residency: unavailable, and Fast mode is 2x the standard rate
  • Audio, video or image output: it takes text and images and returns text only

Performances par tâche

Long-context work

Very Good

1.05M context and 128K output, with a higher rate above 272K input tokens

Tarifs

Entrée

$2 / 1M tokens

Sortie

$10 / 1M tokens

Contexte

1.05M ctx; over 272K $4/$15; cache $0.10

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L’horloge tourne dès le premier jour : les changements apparaîtront ici à mesure que notre verdict évolue.

Sources

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Comment nous évaluons