The logos illustrate the wider model selection. The calculation uses the four open-weight models listed above and Sonnet 4.6 as the premium baseline.
Example token allocation: 10% Kimi, 30% Qwen, 30% DeepSeek, and 30% GPT-OSS. Kimi, DeepSeek, and GPT-OSS use Fireworks standard rates; Qwen uses Together rates.
Assumes four input tokens per output token, unchanged total token volume, and the same token mix for every model. A $10,000 all-Sonnet baseline becomes $696.67 in model API costs. All work must be suitable for this mix; capabilities differ.
Published prices checked 7 September 2026. No caching or batch discounts. Excludes Openbridge markup, other fees, implementation, retries, and taxes. Savings are illustrative, not guaranteed.
For ambitious teams.