Language Model News

2026/10/13

  1. How much does speech-to-text cost per hour? Comparing the xAI and Mistral APIs
  2. Mistral Large 4 costs $1.36 in and $4.18 out, at half price for two weeks after launch
  3. Claude Managed Agents' web_fetch now fetches only URLs that already appear in the session
  4. xAI's speech-to-text API costs $0.10 an hour in batch, and moved to 2.0 on 2 October
  5. Claude Max and Team plans now include monthly API credits ($100 on Max 5x)
  6. GPT-6.1 Sol charges less than GPT-6 Sol for cached input
  7. Claude Sonnet 5.5 keeps Sonnet 5's price, and its cache reads were halved on 7 October
  8. Claude Haiku 5.5 is priced like GPT-6 Luna up to 100K tokens, and five times higher beyond

2026/09/29

  1. Gemini 2.5 models are now limited to users who have used them before
  2. Grok 4.7 joins xAI's model list at the same price and context as Grok 4.6
  3. Gemini 3.8 Live pricing: audio in at $0.005 a minute and audio out at $0.018

2026/09/28

  1. Gemini 3.8 Flash TTS and Flash-Lite TTS prices double on 1 January 2027
  2. Claude Opus 5.5 is $4 in and $20 out, and the model Anthropic now recommends first
  3. GPT-6 Sol and GPT-6 Luna: Luna costs a twentieth of Sol

2026/09/15

  1. DeepSeek V4.1 Flash takes over from V4 Flash at a lower price
  2. Sakana AI's Fugu Ultra v2 and Fugu Max answer by routing work to other models
  3. Cognition's SWE-2 is a coding model built on Kimi K3
  4. Inception's Mercury 2.5, a diffusion model at $0.75 per million output tokens
  5. GPT-Live 1 bills by the minute, at $0.05, with the reasoning model on top

2026/09/08

  1. Meta sells the same model at two prices, and the cheap one is paid for with your prompts
  2. Grok 4.6 is the flagship, and it holds half the context of Grok 4.3
  3. Kimi K3 holds a million tokens at one flat rate
  4. The same Qwen model costs less from Beijing than from Singapore
  5. On Mistral, Large costs a third of Medium
  6. GPT-6 Astra and the three models that make up GPT-6
  7. GPT-6 Astra prices, and the 272K line that reprices the whole request
  8. Claude Fable 5.1 takes the top of the lineup, and Fable 5 moves to legacy
  9. Cache reads on Fable 5.1 are a quarter of what they cost on Fable 5

2026/09/02

  1. The current Claude lineup: 1M context, 128K output, retirement more than a year out
  2. SWE-bench Verified is at 97, and the top of the table is hard to read
  3. A benchmark number means nothing without the conditions it was taken under
  4. Claude API prices, and the Sonnet 5 increase that did not happen
  5. OpenAI API prices: the GPT-5.6 line has long-context rates too
  6. Gemini API prices, and the two dates that change them
  7. DeepSeek now charges double during peak hours
  8. Perplexity Sonar ends on 27 September 2026, replaced by the Agent API
  9. What prompt caching actually costs, and where the tenth does not hold
  10. Long context: who reprices the whole request, and who does not
  11. Adding an MCP server to Claude Code, and which scope to pick

GPT-6.1 Sol charges less than GPT-6 Sol for cached input

GPT-6.1 Sol (gpt-6.1-sol) is a model OpenAI released on 29 September 2026⁠[1]. It is aimed at complex coding, computer use and professional work, and OpenAI says it delivers near-Astra performance at a lower cost than GPT-6 Astra⁠[1,2].

Per million tokens it costs $2 input, $0.10 cached input, $2.50 for cache writes and $10 output⁠[1,2]. Compared with GPT-6 Sol, released on 22 September, input and output are unchanged and cached input is half of its $0.20⁠[1].

For requests with more than 272K input tokens, the full request is billed at twice the input and cache rates and 1.5 times the output rate⁠[2]. That comes to $4 input and $15 output per million tokens⁠[2].

Fast mode costs twice the standard rates, Batch and Flex half, and choosing regional processing adds 10 percent⁠[2].

Ultrafast mode, available on GPT-6 Astra since 29 September, came to GPT-6.1 Sol on 8 October⁠[1]. Setting service_tier to ultrafast in the Responses API shortens the time between generated output tokens⁠[1,2].

Ultrafast costs six times the standard rates, which is $12 input and $60 output per million tokens⁠[2].

One request can use a context of 1,050,000 tokens and up to 128,000 output tokens, and the knowledge cutoff is 30 April 2026⁠[2].

reasoning.effort takes one of five values, low, medium, high, xhigh and max, with medium as the default⁠[2]. none and minimal are not supported⁠[2]. Tool calling works only in the Responses API, and Chat Completions is supported without tools⁠[2].

Multi-agent is supported in beta, so the model can delegate work to subagents within one Responses API request⁠[1].

On 6 October OpenAI consolidated its API usage tiers from five into three: Build, Launch and Grow⁠[1].

Per minute, GPT-6.1 Sol is limited to 5,000 requests and 1 million tokens on Build, 10,000 requests and 4 million tokens on Launch, and 15,000 requests and 40 million tokens on Grow⁠[2]. It is not available on the free tier⁠[2].

Sources

  1. OpenAI - Changelog
  2. OpenAI - GPT-6.1 Sol model