OpenAI lists API pricing for GPT-5.6 Sol, Terra, and Luna across short- and long-context requests, with separate rates for input, cached input, cache writes, and output. GPT-5.6 Sol is listed at $4 input and $20 output for short context, rising to $8 input and $30 output for long context; Luna is listed at $0.20 input and $1.20 output for short context. Sol promotional pricing is available at least through November 21, 2026. OpenAI renamed Priority processing to Fast mode on July 30, 2026, while continuing to accept both the "priority" and "fast" service-tier values. The pricing page also covers realtime, image, video, transcription, search, container, file-search, and specialized coding services. Sora 2 video generation is listed at $0.10 per second for 720p, while Sora 2 Pro ranges from $0.30 per second at 720p to $0.70 at 1080p. GPT-Transcribe has an estimated cost of $0.0045 per minute, and web search costs $10 per 1,000 calls plus search-content tokens at model rates. OpenAI is winding down its fine-tuning platform: new users cannot access it, while existing users can create training jobs for the coming months. Fine-tuned models remain available for inference until their base models are deprecated.

We’re launching DeepSeek-V4-Pro today! 🚀 🔷 Major Agent upgrades with strong production gains! 🔷 Flexible reasoning effort for V4-Pro & V4-Flash: low for simple tasks, high for daily Agent workflows, max for complex tasks. 🔷 Native OpenAI Responses API support, optimized for XユーザーのDeepSeekさん: 「API pricing update 💰 With the V4 lineup release, we’re updating our API pricing and introducing peak and o...

DeepSeek V4 Pro 0813 is hosted by a single provider with OpenRouter forwarding requests directly. Average customer prices are often lower than listed due to caching and discounts, while performance metrics include throughput (tokens per second), latency (total round-trip time), and TTFT (time-to-first-token).

Comparing AI models by price per 1M tokens can be misleading due to differences in tokenization methods among various labs. Each tokenizer affects how text is divided into tokens, which can significantly influence overall costs.

Outsourcing combined with LocalAI is projected to become more cost-effective compared to Frontier labs. Recent API pricing for GPT 5.5 has increased over three times compared to GPT-5, while Gemini 3.5 Flash has tripled the API pricing compared to Gemini-3.