usage-tab@1.3.0

Minor Changes

• a721a5f: Refresh every provider's pricing data (observed 2026-10-03) and add the models released since the last pass. 152 models to 172.

  Azure now charges OpenAI's first-party price for gpt-5.6-sol, gpt-5.6-terra and gpt-5.6-luna. Azure cut sol from $5.00/$30.00 to $4.00/$20.00, terra from $2.50/$15.00 to $2.00/$12.00 and luna from $1.00/$6.00 to $0.20/$1.20 per million tokens. The new rates apply from 2026-10-03. Lookups dated earlier still return the prices observed then, so luna on 2026-08-05 is still 5x apart. The README's headline example now uses gemma-4-31b, which costs 2.5x more on Together than on AWS Bedrock today.

  Retired models are removed, so a lookup for them now throws UNKNOWN_MODEL at any date; price historical usage for them with an override. They are Mistral's devstral-2, devstral-small-2, magistral-medium, magistral-small, mistral-nemo, mixtral-8x7b and mixtral-8x22b; Groq's llama-3.1-8b-instant, llama-3.3-70b-versatile and qwen3.6-27b; and Cohere's aya-expanse-8b.

  gemini-omni-1.1-flash and gemini-omni-flash-preview record the $9.00 text output rate and carry a PARTIAL_TIER_PRICING warning, because video output costs $17.50 per million tokens. openai:gpt-3.5-turbo loses its batch rate, since OpenAI's Batch table no longer lists it: a batch request for it is priced at standard rates with a BATCH_PRICING_UNAVAILABLE warning.

  Other price changes: together:qwen3.7-max rose from $1.25/$3.75 to $1.50/$4.50, and together:qwen3.8-flash fell from $0.15/$0.47 to $0.09/$0.28.

  New models: claude-opus-5-5, claude-sonnet-5-5; gpt-6.1-sol, gpt-6-sol, gpt-6-luna, chat-latest, gpt-5.3-codex, gpt-5-search-api, gpt-rosalind-research, gpt-5.6-cyber, gpt-5.5-cyber; gemini-3-flash-preview, gemini-omni-1.1-flash, gemini-omni-flash-preview, gemini-robotics-er-2-preview, gemini-robotics-er-2-streaming-preview; gpt-6-astra on Azure; gemma-4-26b-a4b, gemma-4-e2b, gemma-3-4b and nemotron-3-nano-30b on Bedrock; command-r7b-12-2024 and command-r-08-2024 on Cohere; zai-glm-5-3 on Mistral; seven more on Together.

  Newly published rates fill in fields that were missing:

  • cacheWrite on four OpenAI models and OpenRouter's Gemini entry, so their cache writes are priced at the published rate instead of the input rate with a warning.
  • cachedInput on gemini-3.5-flash-lite, five Together models and four Mistral models.
  • batchMultiplier on five Mistral models and on Azure's gpt-4-turbo and gpt-4.

• c5113e6: createPriceCalculator accepts a default provider.

  An id registered under several providers, such as gpt-5.6-luna under openai and azure-openai, used to throw AmbiguousAliasError unless every call repeated the qualifier. A per-call options.provider or request.provider still takes precedence, and the default is a hard constraint like either of them: an id the provider does not list throws UnknownModelError.

Patch Changes

• b94effd: normalizeAnthropicUsage now warns with CACHE_WRITE_TTL_NOT_MODELED when a response reports 1-hour cache writes.

  The registry records one cache-write rate per model, the 5-minute TTL rate. A 1-hour write costs more (2x input against 1.25x), so those tokens were under-priced with no warning. The cost is unchanged; the warning now says it is low. cache_creation.ephemeral_5m_input_tokens and ephemeral_1h_input_tokens are also validated when cache_creation_input_tokens is present, so a malformed value throws InvalidUsageError instead of being ignored.

• ac175df: normalizeOpenAICompatibleUsage now warns about unrecognized fields inside prompt_tokens_details and completion_tokens_details, matching normalizeOpenAIUsage.

  It used to check top-level keys only, so a token class a gateway added inside a details object, such as image_tokens, went unpriced with no warning.