API pricing

AssemblyAI has released AssemblyAI-TTS-1, its first text-to-speech model for voice agents. It costs $15 per 1M characters, offers unlimited concurrency without a contract, and supports 6 languages at launch.

Preferred Networks (PFN) began offering PLaMo 3.1 Prime on October 27, a flagship model it develops from scratch in Japan. It adds web search and Deep Research that can run on-premises, and PFN also opened a free tier of the PLaMo API.

Google DeepMind has released Gemini 4 Argon, its latest frontier model, globally via the API at an introductory $2 per 1M input tokens and $10 per 1M output tokens. Google claims it ranks #1 on the Vals Index. Context window, parameter count and training cutoff were not disclosed in the announcement.

OpenAI has launched the Decisions API in public beta. It returns yes/no probabilities, category picks, or scale ratings for text and image inputs. Only gpt-6-luna is supported, at $0.10 per 1M input tokens with free output tokens. OpenAI also cut its paid API tiers from five to three.

US companies are spending less on AI even as usage hit a record high at the end of September, according to the latest Ramp AI Index. Ramp economist Ara Kharazian attributes the drop almost entirely to price competition between OpenAI and Anthropic. In the last week of September, Anthropic took 51% of token spending and OpenAI 44.5%.

OpenAI is reopening its $200-per-month Pro subscription to new sign-ups while cutting the API credits bundled with it in half. The company also removed the 5-hour usage cap, letting subscribers spend their weekly allotment however they choose.

Alibaba's Qwen team has released Qwen-Audio-3.1, a five-model lineup covering speech recognition, text-to-speech, and real-time voice interaction. Alongside the release, Alibaba cut API pricing by up to 95 percent for ASR, 85 percent for real-time models, and 70 percent for TTS.

OpenAI has released GPT-6 Sol Pro, which runs the existing GPT-6 Sol model with its reasoning mode set to 'pro' for higher-quality responses on complex tasks. It carries a 1.1 million token context window and is priced at $2 per 1M input tokens and $10 per 1M output tokens.

OpenAI has released GPT-6 Sol and Luna, updated versions of its mid-tier and lightweight models, priced at half the cost of their GPT-5.6 predecessors. The company claims GPT-6 Sol makes roughly half as many factual errors as its predecessor, reaching what it calls 'Astra-level reliability' at lower cost.

DeepSeek will raise API output token pricing roughly fourfold starting August 16, introducing peak and off-peak rates for its V4 Pro and V4 Flash models. Despite the increase, DeepSeek remains cheaper than competitors like OpenAI's GPT-5.6 Sol and Moonshot's Kimi K3.

Mistral has made regional inference generally available, letting customers route requests through EU or US servers for a 10 percent surcharge, while also launching a paid Priority Tier that charges 1.75x standard pricing for faster processing during peak traffic. Both offerings carry significant limitations on what data and features they actually cover.

OpenAI released GPT-5.5 on April 23, its first retrained base model since GPT-4.5, scoring 82.7% on Terminal-Bench 2.0 versus GPT-5.4's 75.1% and Claude Opus 4.7's 69.4%. API pricing is set at $5 per million input tokens and $30 per million output tokens, exactly double GPT-5.4 rates.