OpenAI Cuts GPT-5.6 Sol API Prices

OpenAI cut developer pricing for GPT-5.6 Sol by more than 20% for the next three months, Reuters reported on August 21. Standard short-context API pricing fell to $4 per million input tokens and $20 per million output tokens, from $5 and $30, respectively. The lower rates also apply to eligible credits for ChatGPT Work and Codex, while Pro, Plus, and Business subscription pricing is unchanged.
OpenAI has reduced developer prices for its frontier GPT-5.6 Sol model by more than 20% for the next three months, Reuters reported on August 21. The revised standard short-context API rates are $4 per million input tokens and $20 per million output tokens, down from $5 and $30, respectively, according to OpenAI's pricing table cited by Reuters.
The reductions apply to OpenAI's API and are rolling out to eligible credits for its agentic product ChatGPT Work and coding tool Codex, Reuters reported. Prices for Pro, Plus, and Business subscriptions remain unchanged.
Pricing changes extend earlier reductions
Reuters reported that OpenAI also lowered prices for smaller models late last month: the mid-tier GPT-5.6 Terra received a 20% reduction and the lower-cost Luna model an 80% reduction. The Sol adjustment is therefore part of a sequence of reported price reductions across the GPT-5.6 lineup.
For comparison, Reuters reported that Anthropic lists Claude Fable 5 at $10 per million input tokens and $50 per million output tokens, while Claude Opus 5 is listed at $5 and $25. Those figures are list-price comparisons rather than a performance benchmark, and they do not account for differences in model capabilities, context limits, caching, batching, or enterprise discounts.
Implications for API users
For teams whose workloads are dominated by short-context inference, the new Sol pricing lowers direct token costs by 20% for inputs and about 33% for outputs. Output-heavy applications, including coding agents, document-generation workflows, and multi-step agent systems, can be particularly sensitive to output-token pricing because generated reasoning and tool-use traces may substantially increase total inference consumption.
Across the model market, comparable price changes tend to make workload-level measurement more important than list-price comparisons alone. Practitioners evaluating providers generally need to compare task success rates, latency, context behavior, token consumption, and the cost of retries alongside per-token rates.
Key Points
- 1OpenAI lowered GPT-5.6 Sol API rates to $4 input and $20 output per million tokens for three months.
- 2The price change covers API users and eligible ChatGPT Work and Codex credits, but excludes standard subscription tiers.
- 3For output-heavy AI workloads, lower output-token rates can materially alter total inference costs beyond headline input pricing.
Scoring Rationale
The reduction affects API economics for developers using a frontier OpenAI model and may be especially relevant to output-intensive agent and coding workloads. It is a notable commercial update rather than a new model capability or technical release.
Sources
Public references used for this report.
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