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

Claude Opus 5.5 is $4 in and $20 out, and the model Anthropic now recommends first

Anthropic's comparison table now lists four current models: Claude Fable 5.1, Claude Opus 5.5, Claude Sonnet 5 and Claude Haiku 4.5⁠[1]. Claude Opus 5 has moved to the list of legacy models, which are still available⁠[1]. A migration guide covers moving from Opus 5 or earlier⁠[1].

The model id for Opus 5.5 is claude-opus-5-5⁠[1]. Anthropic describes it as built for long-running agentic coding and knowledge work⁠[1].

For anyone unsure which model to use, Anthropic says to start with Opus 5.5 for most workloads⁠[1]. Fable 5.1 is for demanding reasoning and long-horizon agentic work, or for when evals on Opus 5.5 at higher effort still fall short⁠[1].

Per million tokens it is $4 input and $20 output, exactly twice Sonnet 5 and two fifths of Fable 5.1⁠[1]. Batch API requests are half price on every model⁠[1].

Prompt cache reads cost 10 percent of the input price on most Claude models, but 5 percent on Opus 5.5, which is $0.20 per million tokens⁠[1]. Fable 5.1 and Mythos 5.1 are lower still, at 2.5 percent⁠[1].

Thinking is adaptive and always on, and the default effort is medium⁠[1]. Fable 5.1 and Sonnet 5 default to high⁠[1].

The context window is 1 million tokens, and one response can run to 128K tokens⁠[1]. On the Message Batches API, a beta header raises that to 300K⁠[1].

The reliable knowledge cutoff and the training data cutoff are both June 2026, the same as Fable 5.1⁠[1]. The retirement commitment is not sooner than 22 September 2027⁠[1].

On Amazon Bedrock the model id is anthropic.claude-opus-5-5, and on Google Cloud it is claude-opus-5-5⁠[1]. Microsoft Foundry and Claude Platform on AWS use the same id as the Claude API⁠[1].

Sources

  1. Anthropic - Models overview