Language Models

2026/11/02

  1. Fast mode on Claude Opus 4.8 ends on 30 November; on Opus 5.5 it costs $8 input and $40 output
    PriceAnthropic

2026/10/19

  1. Sending Claude API traces to Datadog and other platforms with OpenTelemetry
    How to UseAnthropic
  2. OpenAI's Decisions API does not charge for output, at $0.10 per million input tokens
    PriceOpenAI

2026/10/18

  1. Creating GPT-Live voices from text for free, plus new Japanese voices Harema and Shida
    How to UseOpenAI
  2. Fast mode for Claude Opus 5.5 no longer needs an access request (at twice the standard price)
    PriceAnthropic

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

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Claude Haiku 5.5 is priced like GPT-6 Luna up to 100K tokens, and five times higher beyond

PriceAnthropicOpenAI
2026/10/13

Anthropic released Claude Haiku 5.5 on 7 October 2026⁠[1,2]. The model id is claude-haiku-5-5, and it is built for high-volume, latency-sensitive tasks such as classification, extraction and routing⁠[3].

Per million tokens, prompts of up to 100K tokens cost $0.10 input, $0.01 for cache reads, $0.125 for cache writes and $0.50 output⁠[1]. For prompts over 100K tokens the same four rates are $0.50, $0.05, $0.625 and $2.50, five times as much each⁠[1].

Haiku 4.5 costs $1 input and $5 output, so Haiku 5.5 is a tenth of that price up to 100K tokens and half of it beyond⁠[1]. According to Anthropic, about 90 percent of requests to Haiku 4.5 were 100K tokens or shorter⁠[1].

Haiku 5.5 uses a new tokenizer close to those of Sonnet 5.5 and Opus 5.5, so the same text counts as slightly more tokens than on Haiku 4.5⁠[1,2]. With those extra tokens included, Anthropic estimates that Haiku 5.5 costs about 75 percent less to run than Haiku 4.5 on average⁠[1].

Up to 100K tokens, all four rates are the same as OpenAI's GPT-6 Luna⁠[1,4]. Luna's rates go up when input exceeds 272K tokens⁠[4]. The full request is then billed at twice the input and cache rates and 1.5 times the output rate⁠[4].

For prompts between 100K and 272K tokens, Haiku 5.5 costs five times as much as Luna on both input and output⁠[1,4]. Past 272K, Luna rises to $0.20 input and $0.75 output, so Haiku 5.5 comes to 2.5 times Luna on input and a little over three times on output⁠[1,4].

The context window is 1 million tokens, and one response can be up to 128K tokens⁠[2,3]. The reliable knowledge cutoff is June 2026, and the model will not be retired before 7 October 2027⁠[3].

The effort setting lets users choose whether to favor cost or intelligence⁠[1]. Haiku 5.5 is the first Haiku model with this setting, and its default is medium⁠[1,3].

On Terminal-Bench 4.0, which tests multi-step professional tasks in a command-line interface, Anthropic reports 39.2 percent for Haiku 5.5⁠[1]. Haiku 4.5 scored 0.0 percent, GPT-6 Luna 16.4 percent and Sonnet 5.5 70.6 percent⁠[1].

Anthropic recommends Sonnet 5.5 and Opus 5.5 for complex agentic coding, and names narrowly scoped work such as summarization and subagents as the fit for Haiku 5.5⁠[1].

Sources

  1. [1]Anthropic - Introducing Claude Haiku 5.5
  2. [2]Anthropic - Claude Platform release notes
  3. [3]Anthropic - Models overview
  4. [4]OpenAI - GPT-6 Luna model