Big-AGI is an open-source workspace for using multiple AI models through chat and other AI functions. It is intended for engineers, founders, researchers, and other users who want to work with AI personas, model comparisons, image generation, voice, documents, and code-related features. The catalogue entries provide commands, instructions, and a skill for working with Big-AGI.
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.
git clone --depth 1 https://github.com/enricoros/big-AGIWrote 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/commands/enricoros/big-agi/update-models-minimax)<a href="https://agentmods.dev/commands/enricoros/big-agi/update-models-minimax"><img src="https://agentmods.dev/badge/commands/enricoros/big-agi/update-models-minimax/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/commands/enricoros/big-agi/update-models-minimax"><img src="https://agentmods.dev/badge/commands/enricoros/big-agi/update-models-minimax.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 | $0.00010 | $0.00761 |
| Opus 5 | $0.00005 | $0.00380 |
| Sonnet 5 | $0.00002 | $0.00152 |
| Haiku 4.5 | $0.00001 | $0.00076 |
Grade A, and why
update-models-minimax scanned grade A with 0 findings 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 10d 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.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
What it actually says
Update src/modules/llms/server/openai/models/minimax.models.ts with latest model definitions.
Reference src/modules/llms/server/llm.server.types.ts and src/modules/llms/server/models.mappings.ts for context only. Focus on the model file, do not descend into other code.
Primary Sources:
- Models & Changelog: https://platform.minimax.io/docs/release-notes/models.md
- Pricing: https://platform.minimax.io/docs/guides/pricing-paygo.md
- Pricing Overview: https://platform.minimax.io/docs/pricing/overview.md
- Text Generation API (context-window table, model overview): https://platform.minimax.io/docs/guides/text-generation.md
- OpenAI-compatible reference (authoritative
modelenum, per-modelmax_completion_tokenscaps,thinking/reasoning_split/service_tier, image/video parts): https://platform.minimax.io/docs/api-reference/text-chat-openai.md - Doc index (raw
.mdfetch works for every page): https://platform.minimax.io/docs/llms.txt
Note: MiniMax stays hardcoded: GET https://api.minimax.io/v1/models exists but returns bare {id, created, owned_by} (no context/pricing/capabilities) and omits still-served legacy ids. Context windows, max output, and pricing must be maintained from the docs. Pay attention to new model releases (M-series), highspeed variants, and deprecated models.
Fallbacks if blocked: Search "minimax api models pricing", "minimax m2 m3 models", "minimax api changelog" or check https://openrouter.ai models list for MiniMax entries.
Live probes (ground truth, needs MINIMAX_API_KEY from .env.api-keys, never echo it):
GET /v1/modelsfor the served-and-supported set (itscreatedis the vendor release date, often +1 day vs the release notes - keep the file's doc-derived pubDate)- A 1-token
POST /v1/chat/completionsconfirms unlisted/legacy ids are still served (400unknown model= dead). Careful: not every served id carries theMiniMax-prefix (e.g.M2-her), andMiniMax-01is dead whileMiniMax-Text-01is live - An over-large
max_completion_tokens400s with the exact per-model ceiling in the message (M3 524288, M2.x/M1 196608, Text-01 40000, M2-her 2048) - cheapest way to check max output - Tool support: send
tools+tool_choice: 'required'; M2-her silently ignores both (no function calling) - Vision: an
image_urlpart never 400s, so absence of an error proves nothing - compareusage.prompt_tokenswith vs without the image (M3 grows, M2.x is identical = image silently dropped)
Important:
- Models are
ModelDescriptionSchema[]objects (not ManualMappings) - match existing pattern in the file - Review the full model list for additions, removals, and price changes
- Check for new
-highspeedvariants and new model families - Verify context window sizes and max completion tokens against docs
- Minimize whitespace/comment changes, focus on content
- Preserve comments to make diffs easy to review
- Flag broken links or unexpected content
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.
- 10d ago First seen · 35 lines · 10 tokens per session scan A 3aa74a835da4
update-models-minimax is a command published in the GitHub repository enricoros/big-AGI (7,118 stars, last pushed today), licensed MIT. It adds 10 tokens to every session and 761 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
Other commands, from other repositories
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