21 line(s) added, 8 removed.

Summary by fallback. It may be wrong; the diff below is what actually changed. Raw: 24a7e9c6cb-openai-api-pricing.diff · commit 24a7e9c6cb
diff --git a/snapshots/openai/api-pricing.md b/snapshots/openai/api-pricing.mdindex b647959..4574c1e 100644--- a/snapshots/openai/api-pricing.md+++ b/snapshots/openai/api-pricing.md@@ -17,5 +17,5 @@ Standard | gpt-6-luna | $0.10 | $0.50 | $0.01 | $0.125 | $0.25 | -Regional processing (data residency) endpoints are charged a 10% uplift for models released on or after March 5, 2026. FedRAMP endpoints are also charged a 10% uplift. Priority processing was renamed Fast mode on July 30, 2026. GPT-5.6 Sol's promotional pricing is available at least through November 21, 2026.+Regional processing (data residency) endpoints are charged a 10% uplift for models released on or after March 5, 2026. FedRAMP endpoints are also charged a 10% uplift. Priority processing was renamed Fast mode on July 30, 2026. GPT-5.6 Sol's promotional pricing is available until November 30, 2026.  Our latest Daybreak models.@@ -28,17 +28,31 @@ Prices per 1M tokens. |---|---|---|---|---|---| | Model | Input | Output | Cached input | 30m write | 12h write |+| gpt-6-cyber | $20.00 | $100.00 | $2.00 | $25.00 | $50.00 | | gpt-5.6-sol | $4.00 | $20.00 | $0.40 | $5.00 | $10.00 |-| gpt-5.6-cyber | $12.50 | $75.00 | $1.25 | $15.625 | $31.25 |  Our latest Rosalind models. +Context length++Prices per 1M tokens.++|  | Prompt caching |  |  |  |  |+|---|---|---|---|---|---|+| Model | Input | Output | Cached input | 30m write | 12h write |+| gpt-6-rosalind | $15.00 | $75.00 | $1.50 | $18.75 | $37.50 |+| gpt-rosalind-research | $5.00 | $25.00 | $0.50 | - | - |+| gpt-rosalind-discovery | $5.00 | $25.00 | $0.50 | - | - |++Access is limited to approved internal research through the trusted-access program. All eligible organizations will continue to get access to the latest GPT-Rosalind models as they're released.  Regional processing (data residency) endpoints are charged a 10% uplift for models released on or after March 5, 2026, that are eligible for data residency. See our Your data guide for supported regions and processing details.++Our latest legal model configurations.+ Prices per 1M tokens. -| Model | Input | Output | Cached input |+| Model configuration | Input | Output | Cached input | |---|---|---|---|-| gpt-rosalind-research | $5.00 | $25.00 | $0.50 |-| gpt-rosalind-discovery | $5.00 | $25.00 | $0.50 |+| gpt-6-astra-law | $10.00 | $50.00 | $1.00 | -Billing for `gpt-rosalind-research` begins on October 5, 2026. Cache-write pricing does not apply to this model. Access is limited to approved internal research through the trusted-access program. All eligible organizations will continue to get access to the latest GPT-Rosalind models as they're released.  Regional processing (data residency) endpoints are charged a 10% uplift for models released on or after March 5, 2026, that are eligible for data residency. See our Your data guide for supported regions and processing details.+GPT-6 Astra for Law promotional pricing is available at least through December 31, 2026.  GPT-Live 1 voice sessions are billed per second, without rounding up to a whole minute. Backend model and tool usage is charged separately.@@ -67,4 +81,8 @@ For image generation cost estimates, use the calculator in the image generation | Model | Modality | Input | Output | Cached input | |---|---|---|---|---|+| gpt-image-2.6-sunburst | Image | $8.00 | $30.00 | $2.00 |+| Text | $5.00 | - | $1.25 |  |+| gpt-image-2.6-flare | Image | $8.00 | $30.00 | $2.00 |+| Text | $5.00 | - | $1.25 |  | | gpt-image-2.5-sunburst | Image | $8.00 | $30.00 | $2.00 | | Text | $5.00 | - | $1.25 |  |@@ -117,6 +135,6 @@ Standard | Model | Training | Input | Output | Cached input | |---|---|---|---|---|-| o4-mini-2025-04-16 | $100.00 / hour | $4.00 | $16.00 | $1.00 |-| o4-mini-2025-04-16 with data sharing | $100.00 / hour | $2.00 | $8.00 | $0.50 |+| gpt-4.1-2025-04-14 | $25.00 | $3.00 | $12.00 | $0.75 |+| gpt-4.1-mini-2025-04-14 | $5.00 | $0.80 | $3.20 | $0.20 |  Tokens used for model grading in reinforcement fine-tuning are billed at that model's per-token rate. Inference discounts are available if you enable data sharing when creating the fine-tune job. Learn more.
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