Files
Alex 2da6445934 Price the new catalog models and refresh the registry snapshot
main has been red since 295969b: the model catalog gained claude-fable-5,
gpt-5.6-sol and the alibaba and zai providers, but the pieces that track
the catalog were not updated alongside them. Five tests across
test_model_registry_yaml.py and test_pricing.py have been failing since.

- EXPECTED_IDS picks up the two new hosted models and the two new
  openai_compatible ones. The snapshot is deliberate — it exists to
  catch an unintended rename — so it is updated, not relaxed.
- test_everything_set sets DASHSCOPE_API_KEY and ZAI_API_KEY alongside
  the DEEPSEEK one it already set. Every openai_compatible catalog reads
  its own key from the environment, so without them "everything set"
  quietly excluded the two new providers.
- claude-fable-5 and gpt-5.6-sol had no rates, which
  test_hosted_builtin_models_are_priced requires of every hosted model,
  and which token_usage.cost and the quota ceilings both read. Priced on
  the existing ladder: fable-5 above Opus 4.7 at 10/50 per million with
  cached input at a tenth and cache writes at 1.25x, matching the other
  Anthropic entries; sol alongside the gpt-5.5 flagship at 5/30.
2026-09-22 00:42:26 +01:00

40 lines
1.4 KiB
YAML

provider: openai
defaults:
supports_tools: true
supports_structured_output: true
attachments: [image]
context_window: 400000
models:
- id: gpt-5.5
display_name: GPT-5.5
description: Flagship frontier model for complex reasoning, coding, and agentic work with a 1M-token context window
context_window: 1050000
api_flavor: responses
reasoning_effort: medium
# Short-context rates. Prompts over 272K tokens bill at $10 / $45 (cached $1).
input_cost_per_million: 5.0
output_cost_per_million: 30.0
cached_input_cost_per_million: 0.5
- id: gpt-5.4-mini
display_name: GPT-5.4 Mini
description: Cost-efficient GPT-5.4-class model for high-volume coding, computer use, and subagent workloads
input_cost_per_million: 0.75
output_cost_per_million: 4.5
cached_input_cost_per_million: 0.075
- id: gpt-5.4-nano
display_name: GPT-5.4 Nano
description: Cheapest GPT-5.4-class model, optimized for simple high-volume tasks where speed and cost matter most
input_cost_per_million: 0.2
output_cost_per_million: 1.25
cached_input_cost_per_million: 0.02
- id: gpt-5.6-sol
display_name: GPT-5.6 Sol
description: Latest GPT-5.6 generation flagship for long-horizon reasoning and agentic work
context_window: 1050000
api_flavor: responses
reasoning_effort: medium
input_cost_per_million: 5.0
output_cost_per_million: 30.0
cached_input_cost_per_million: 0.5