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Alex b77561288d feat(pricing): per-million model rates and a cost module
Rename the unused *_cost_per_token capability fields to USD per 1M tokens,
add prompt-cache read/write rates, and ship list prices for the hosted
catalogs. The old per-token keys still load, scaled, with a warning.

docsgpt/pricing.py turns a call's token bins into a USD cost. Models with
no declared rate cost $0 unless QUOTA_UNPRICED_RATE_PER_MILLION is set.
2026-09-21 11:38:22 +01:00

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932 B
YAML

provider: novita
defaults:
supports_tools: true
supports_structured_output: true
models:
- id: deepseek/deepseek-v4-pro
display_name: DeepSeek V4 Pro
description: 1.6T MoE (49B active) with 1M context, hybrid CSA/HCA attention, top-tier reasoning and agentic coding
context_window: 1048576
input_cost_per_million: 1.6
output_cost_per_million: 3.2
- id: moonshotai/kimi-k2.6
display_name: Kimi K2.6
description: 1T-parameter open-weight MoE with native vision/video, multi-step tool calling, and agentic long-horizon execution
attachments: [image]
context_window: 262144
input_cost_per_million: 0.8
output_cost_per_million: 3.4
- id: zai-org/glm-5
display_name: GLM-5
description: Z.AI 754B-parameter MoE with strong general reasoning, function calling, and structured output
context_window: 202800
input_cost_per_million: 1.0
output_cost_per_million: 3.2