- Generalize Gemini 3 thinking config model prefix match to gemini-3*
- Add pricing snapshot entries for gemini-3.7-flash and gemini-3.8-flash
- Add model identifiers to Google, OpenRouter, and Vertex CLI lists
- Add test coverage for gemini-3.8-flash thinkingLevel configuration
The bare deepseek/deepseek-v4-flash slug is the pre-snapshot release; both
aggregators now carry deepseek-v4-flash-0731 (and Nous exposes the rolling
~deepseek/deepseek-v4-flash-latest alias). Keeping both rows in the curated
picker just duplicates the flash tier.
- OPENROUTER_MODELS (derives the nous list): drop deepseek/deepseek-v4-flash
- model-catalog.json regenerated
Deliberately KEPT: alibaba-token-plan / opencode-go / commandcode / deepseek
direct plugin fallback_models + default_aux_model (bare id is the wire slug
those providers serve), DEFAULT_CONTEXT_LENGTHS / reasoning floor / pricing
snapshot entries (manually-typed id still behaves), and the
deepseek-chat/deepseek-reasoner -> deepseek-v4-flash alias normalization.
Alibaba shipped qwen3.8-max-0902 (alias qwen3.8-max-2026-09-02), the upgraded
snapshot of Qwen3.8-Max: 1M context / 131K output, $2 in / $6 out. Both
aggregators now serve it and dropped the bare slug from their catalogs
(verified 2026-09-02: OpenRouter /v1/models + a 200 completion echoing the
slug; Nous Portal /v1/models).
- OPENROUTER_MODELS (feeds the nous list too): qwen/qwen3.8-max -> qwen/qwen3.8-max-0902
- _ALIBABA_TOKEN_PLAN_MODELS: qwen3.8-max-preview -> qwen3.8-max-0902
- test_empty_model_fallback fixture follows the nous catalog slug
- model-catalog.json regenerated
No new metadata: DEFAULT_CONTEXT_LENGTHS substring-matches qwen3.8-max (1M),
reasoning floor prefix fires (180s), both aggregator routes bill via
official_models_api. alibaba/alibaba-cn/opencode-go/setup.py left unchanged
(out of scope).
Six slugs land in the nous and openrouter curated lists, above the gpt-5.6 line:
openai/gpt-6-astra{,-fast,-flex} and openai/gpt-6-astra-pro{,-fast,-flex}.
Nous Portal serves the tiers as distinct slugs (verified live: each echoes its id, service_tier
default/priority/flex, cost 1x/2x/0.5x). OpenRouter serves them as ENDPOINTS of the base model
(tags openai/fast, openai/flex) and silently routes an unknown suffix to the standard tier at
standard price, so the OpenRouter profile rewrites a tier slug to its base wire model and pins
provider.only to that tier's endpoints (OPENROUTER_ENDPOINT_PINS). The base slug is pinned to
openai/azure/azure-us so default routing never lands on a flex or fast endpoint.
Provider-agnostic metadata: one DEFAULT_CONTEXT_LENGTHS entry (gpt-6-astra: 1,050,000, live on
OpenRouter for both models; substring-matches -pro and the tier suffixes). Pricing is skipped:
both routes bill via official_models_api. Reasoning floor not added (no evidence of long thinks).
tylman