Language Model News

2026/10/13

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

2026/09/29

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

2026/09/28

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

2026/09/15

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

2026/09/08

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

2026/09/02

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

GPT-6 Sol and GPT-6 Luna: Luna costs a twentieth of Sol

ModelOpenAI

OpenAI released GPT-6 Sol and GPT-6 Luna on 22 September 2026⁠[1]. The model ids are gpt-6-sol and gpt-6-luna, and both are available through the Responses and Chat Completions APIs⁠[1].

Both are reasoning models, with text and image input and text output⁠[2,3]. OpenAI describes Sol as built to power complex coding and agentic workflows, and Luna as its most efficient model for focused, high-volume tasks⁠[2,3].

The context window is 1,050,000 tokens on both⁠[2,3]. Of that, input can take up to 922,000 tokens, and one response can run to 128,000⁠[2,3].

The knowledge cutoff is 20 April 2026 for Sol and 18 May 2026 for Luna, so the cheaper model is about a month more recent⁠[2,3].

Per million tokens, Sol is $2 input, $0.20 cached input and $10 output⁠[2]. Luna is $0.10, $0.01 and $0.50, exactly a twentieth of Sol on every rate⁠[2,3].

A cache write is 1.25 times the input rate, which comes to $2.50 on Sol and $0.125 on Luna⁠[2,3].

Prompts with more than 272K input tokens are billed at twice the input and cache rates⁠[2,3]. Batch and Flex are half the standard rates, and Fast mode is twice the applicable rates⁠[2,3].

Both also work with the Batch API, and support streaming, structured outputs, function calling, web search and prompt caching⁠[2,3].

A bug in image encoding had degraded image understanding in Sol and Luna⁠[1]. The changelog records it as fixed on 25 September⁠[1].

Sources

  1. OpenAI - Changelog
  2. OpenAI - GPT-6 Sol model
  3. OpenAI - GPT-6 Luna model