Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add 0xatd/cheaptokens-skills --skill venice-modelsgit clone --depth 1 https://github.com/0xatd/cheaptokens-skillsWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/0xatd/cheaptokens-skills/venice-models)<a href="https://agentmods.dev/skills/0xatd/cheaptokens-skills/venice-models"><img src="https://agentmods.dev/badge/skills/0xatd/cheaptokens-skills/venice-models/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/0xatd/cheaptokens-skills/venice-models"><img src="https://agentmods.dev/badge/skills/0xatd/cheaptokens-skills/venice-models.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00066 | $0.02786 |
| Opus 5 | $0.00033 | $0.01393 |
| Sonnet 5 | $0.00013 | $0.00557 |
| Haiku 4.5 | $0.00007 | $0.00279 |
Grade A, and why
venice-models scanned grade A with 1 finding against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 11d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
curl "https://api.venice.ai/api/v1/models?type=text" This is a copy
100% identical to venice-models — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 184 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Venice Models
Three read-only endpoints for model discovery — all GET:
| Endpoint | Returns |
|---|---|
/models |
Full model catalog with model_spec (capabilities, constraints, pricing). |
/models/traits |
Trait → model ID mapping (e.g. "default", "fastest", "default_reasoning", "highest_quality"). |
/models/compatibility_mapping |
Legacy / OpenAI / third-party model ID → Venice model ID aliases. |
All three take an optional ?type= filter: text, image, video, music, tts, asr, embedding, upscale, inpaint, all, code.
All three are authenticated (Bearer API key or x402 SIWE) like every other /api/v1 route.
Use when
- You need to pick a model at runtime based on capabilities (vision, reasoning, function calling, E2EE, X search, multi-image, …).
- You need to validate a request against a model's
constraints(prompt length, aspect ratio, resolution, steps). - You need the current price per million tokens / per image / per second / per 1k chars to build a cost estimate.
- You want to resolve a user-friendly trait name (e.g.
default,default_reasoning,highest_quality) or a frontier-style ID (openai-gpt-54-pro,claude-opus-4-7) to a concrete Venice model ID.
GET /models
curl "https://api.venice.ai/api/v1/models?type=text"
{
"object": "list",
"type": "text",
"data": [
{
"id": "zai-org-glm-5-1",
"created": 1699000000,
"model_spec": {
"name": "GLM 5.1",
"description": "Balanced blend of speed and capability...",
"availableContextTokens": 200000,
"maxCompletionTokens": 24000,
"privacy": "private",
"beta": false,
"betaModel": false,
"modelSource": "https://huggingface.co/zai-org/GLM-5.1",
"offline": false,
"capabilities": { ... },
"constraints": { ... },
"pricing": { ... },
"regionRestrictions": ["US"],
"deprecation": {"date": "2025-03-01T00:00:00.000Z"}
}
}
]
}
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 11d ago First seen · 184 lines · 66 tokens per session scan A 43eb32f2c57b
venice-models is a skill published in the GitHub repository 0xatd/cheaptokens-skills (2 stars, last pushed 1mo ago), licensed MIT. It adds 66 tokens to every session and 2,786 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). It is 100% identical to venice-models, differing in 0 lines, and is treated as a copy.
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