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-mistral)<a href="https://agentmods.dev/commands/enricoros/big-agi/update-models-mistral"><img src="https://agentmods.dev/badge/commands/enricoros/big-agi/update-models-mistral/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-mistral"><img src="https://agentmods.dev/badge/commands/enricoros/big-agi/update-models-mistral.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 | $0.00011 | $0.00623 |
| Opus 5 | $0.00005 | $0.00311 |
| Sonnet 5 | $0.00002 | $0.00125 |
| Haiku 4.5 | $0.00001 | $0.00062 |
Grade A, and why
update-models-mistral 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 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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
- Pricing: per-model cards at https://docs.mistral.ai/models/model-cards/<slug> (price, context, release date, deprecation) - the https://mistral.ai/pricing#api-pricing table is client-rendered and not in the HTML. Slugs What it actually says
Update src/modules/llms/server/openai/models/mistral.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: https://docs.mistral.ai/models/overview - also has the deprecated/retired table (deprecation + retirement dates + replacement)
- Pricing: per-model cards at https://docs.mistral.ai/models/model-cards/ (price, context, release date, deprecation) - the https://mistral.ai/pricing#api-pricing table is client-rendered and not in the HTML. Slugs are doc names, not API ids (
mistral-medium-3-5-26-04,mistral-small-4-0-26-03,codestral-25-08); guessing them 404s, so harvest withcurl -sL https://docs.mistral.ai/models/overview | grep -o 'model-cards/[a-z0-9._-]*' | sort -u - Changelog: https://docs.mistral.ai/resources/changelogs
Fallbacks if blocked:
- Search "mistral [model-name] latest pricing", "mistral api latest pricing", "mistral latest models", or search GitHub for latest model prices and context windows
- Cross-reference: pricepertoken.com, artificialanalysis.ai
- Check Mistral API list models response
- As last resort: Use Chrome DevTools MCP to render pricing table
Live endpoint (extra signal): If .env.api-keys has MISTRAL_API_KEY, scan the served model list as ground-truth for what's new/available and cross-check the docs above: curl https://api.mistral.ai/v1/models -H "Authorization: Bearer $MISTRAL_API_KEY". Never commit or echo the key. Each entry carries aliases, max_context_length, capabilities (incl. reasoning), and deprecation / deprecation_replacement_model; retired models disappear from this list, which is the signal to drop their _knownMistralModelDetails entries. deprecation holds the retirement date (the earlier docs deprecation date is not in the API). Where the card and the API disagree on context, the API's max_context_length wins (cards lag). labs-* models are listed but 403 unless an org admin enables Labs.
Important:
- Review the full model list for additions, removals, and price changes
- 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 · 27 lines · 11 tokens per session scan A d8f3ad99cb39
update-models-mistral is a command published in the GitHub repository enricoros/big-AGI (7,118 stars, last pushed today), licensed MIT. It adds 11 tokens to every session and 623 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). 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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