← All models

GPT-6 Sol

Language Available Full comparison ↗

openai/gpt-6-sol · by OpenAI · decoder-only-transformer

Pricing — 1 offering(s)

OpenAI

View on OpenAI ↗

Input tokens

  • $2.00 / 1M tokens (input) Current 2026-09-22 → present
    SCO-639: Standard processing, short-context rate. Also on OpenAI's pricing page but NOT tracked as tiers…

    SCO-639: Standard processing, short-context rate. Also on OpenAI's pricing page but NOT tracked as tiers here: cached input $0.20/1M and cache writes $2.50/1M (the schema has no cached-input unit, and a separate per_1m_tokens_input tier would be read as the headline input price by routing and the site; see the cached-input support card), long- context (>272K input tokens) $4.00/1M input and $15.00/1M output, and Batch/Flex at 50% of Standard. No promotional-pricing caveat shown.

Output tokens

  • $10.00 / 1M tokens (output) Current 2026-09-22 → present
    SCO-639: Standard processing, short-context rate. See the input tier's note for the cached-input…

    SCO-639: Standard processing, short-context rate. See the input tier's note for the cached-input, long-context and Batch/Flex rates that aren't tracked here.

Showing the active price and any recorded history. Full pricing history is available via the paid API — see API docs.

See how GPT-6 Sol fits into a cost-aware routing setup

See how →

Capability profile

How GPT-6 Sol rates across core capability dimensions, with the task-level evidence behind each rating.

context window Strong

1,050,000-token context window, 128,000 max output tokens (developers.openai.com/api/docs/models/gpt-6-sol).

tool use Strong

OpenAI API docs: supports Functions, Web search, File search, Computer use.

cost efficiency Moderate

Middle tier of the GPT-6 family ($2/$10 per 1M tokens, Standard, short context): one fifth of Astra, 20x Luna.

Ratings are estimated — limited independent data is available for this model.

Operator guidance

Middle tier of GPT-6, launched 2026-09-22. OpenAI positions it for balancing intelligence and cost. Step up to GPT-6 Astra for the hardest end-to-end work, or down to GPT-6 Luna for cost-sensitive, high-volume workloads.

Use cases

Limitations

Citations