feat: add Pareto Inference (Pass) - #6138
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Summary
Add Pareto Inference (Pass) with three models:
z-ai/glm-5.3z-ai/glm-5.3-flashdeepseek/deepseek-v4-flashI work on Pareto Inference. The provider uses the OpenAI-compatible Chat Completions endpoint at
https://api.paretoinference.com/v1, withPARETO_API_KEYfor authentication. The model files inherit existing base models. This change adds only one provider file, one logo, and three model files.Subscription pricing
This is paid Pass access, not free access. Pareto Pass costs $3/week and includes up to $20 of model usage per day. There are no additional per-token charges within that allowance. The zero cost fields follow the existing
zai-coding-planconvention. The provider name, documentation link, and source comments identify the paid plan.This entry does not represent legacy keys or a separate pay-as-you-go product. If a different catalog convention is preferred for subscription providers, I can adjust it.
Sources
Pareto accepts
reasoning_effort. This entry does not advertise OpenRouter's separatereasoning.enabledtoggle. GLM exposes low/high/max; DeepSeek exposes high/xhigh. Pareto maps max to OpenRouter's xhigh.Verification
bun validatepassed.OPENCODE_MODELS_PATH, with no manual provider URL or adapter override. Each of the three models completed one permitted local tool call and its response continuation, using its high-effort variant.The OpenCode tests used a 4,096-output-token cap. The effort probes used a 128-output-token cap. Maximum context/output lengths and image/video inputs were not live-tested; those metadata values follow the cited upstream catalog and existing base models.