GPT-6 Sol
Language Available Full comparison ↗ openai/gpt-6-sol · by OpenAI
· decoder-only-transformer
Pricing — 1 offering(s)
About this offering: OpenAI's GPT-6 Sol, the middle tier of the GPT-6 family (Astra, Sol, Luna), launched 2026-09-22 at $2 input and $10 output per 1M tokens. GPT-6.1 Sol replaced it in OpenAI's recommended line-up on 2026-09-29 at the same price; GPT-6 Sol is still sold and isn't deprecated (OpenAI pricing page, checked 2026-10-11).
Input tokens
- $2.00 / 1M tokens (input) Current 2026-09-22 → present
Output tokens
- $10.00 / 1M tokens (output) Current 2026-09-22 → present
Cached input tokens
- $0.20 / 1M tokens (cached input) Current 2026-09-22 → present
Cache writes
- $2.50 / 1M tokens (cache write) Current 2026-09-22 → present
Batch
Batch input tokens
- $1.00 / 1M tokens (input) Current 2026-11-03 → present
Batch output tokens
- $5.00 / 1M tokens (output) Current 2026-11-03 → present
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.
1,050,000-token context window, 128,000 max output tokens (developers.openai.com/api/docs/models/gpt-6-sol).
OpenAI API docs: supports Functions, Web search, File search, Computer use.
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
- Complex coding and agentic workflows, per OpenAI's model docs
- Balanced intelligence/cost default within the GPT-6 family
Limitations
- Capability ratings are qualitative, not a single cited benchmark run