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 Sonnet 5.5 keeps Sonnet 5's price, and its cache reads were halved on 7 October

Claude Sonnet 5.5 was released on 28 September 2026⁠[1,2]. The model id is claude-sonnet-5-5⁠[1,2].

In Anthropic's description, Opus 5.5 is for complex work that needs careful judgment, while Sonnet 5.5 is strongest at well-scoped everyday tasks, fixing bugs, and creating documents, slides and spreadsheets⁠[1].

Per million tokens it costs $2 input and $10 output, unchanged from Sonnet 5⁠[1]. Cache writes cost $2.50, and cache reads were $0.20 at launch, the same as Sonnet 5⁠[1].

On 7 October cache reads dropped to $0.10, going from 10 percent of the input price to 5 percent, the same ratio as Opus 5.5⁠[1,2]. Because cache reads make up a large share of token consumption, Anthropic estimates that the cut makes Sonnet 5.5 about 20 percent cheaper on most agentic tasks⁠[3].

Sonnet 5.5 often finishes the same work with far fewer tokens than Sonnet 5⁠[1]. In Anthropic's testing, the cost per task fell by up to 30 percent⁠[1]. Output is also generated more than 30 percent faster than on Sonnet 5⁠[1].

Terminal-Bench 4.0 measures whether a model can complete multi-step professional tasks in a command-line interface⁠[1]. Sonnet 5.5 scores 70.6 percent, up from 10.3 percent for Sonnet 5 and above the 66.4 percent of Opus 5.5 at xhigh effort⁠[1].

Anthropic adds that benchmark scores capture only one side of a model, and that Opus 5.5 remains clearly stronger at complex work requiring sustained judgment⁠[1].

The context window is 1 million tokens and one response can be up to 128K tokens, both the same as Opus 5.5⁠[4]. The training data and knowledge cutoffs are both June 2026, and retirement will not come before 28 September 2027⁠[4].

The default effort is high on the Claude Platform and medium in Claude Code and the Claude apps⁠[1].

Some code written for Sonnet 5 will not work unchanged on Sonnet 5.5⁠[2]. To turn off up-front thinking at high effort or below, set the thinking type to between_tools instead of disabled⁠[1,2].

Forcing tool use with the tool_choice types any and tool returns a 400 error⁠[2]. On the Claude API and Google Cloud, the earlier computer use tool computer_20251124 is not accepted⁠[2].

Thinking blocks from Sonnet 5.5 work only in the account that produced them or in an account linked to it⁠[1,2]. If another account sends one, the API drops the block and the request still succeeds⁠[2].

On 30 September Anthropic announced the deprecation of Claude Sonnet 4.5 (claude-sonnet-4-5-20250929) and recommended moving to Sonnet 5.5⁠[2]. Sonnet 4.5 is scheduled to retire from the Claude API on 30 November 2026⁠[2].

Sources

  1. Anthropic - Introducing Claude Sonnet 5.5
  2. Anthropic - Claude Platform release notes
  3. Anthropic - Introducing Claude Haiku 5.5
  4. Anthropic - Models overview