2023
Founded
Paris-based AI lab
Report
The most powerful AI platform for enterprises. Customize, fine-tune, and deploy AI assistants, autonomous agents, and multimodal AI with open models.
Depends
DependsBuy if you are a developer or an EU-sovereignty-focused team building directly on model APIs and can manage token costs.
Cheap, capable EU AI platform — but a 2026 source-code breach and confusing pricing mean look hard before committing.
2023
Founded
Paris-based AI lab
$0.04–$6
API price range
per 1M tokens (2026)
$24B
Valuation
Sept 2026 round; €3B raised
1,233
Companies detected using it
per Bloomberry scan
From $0.04/1M tokens; undercuts rivals
Fine-tuning, agents, open or hosted deploy
Confirmed source-code breach; npm supply-chain incident
$0.04–$6 per 1M tokens
Consumer plan tiers (see pricing page)
Confirmed May 2026 source-code breach and npm supply-chain attack; one critical CVE in the mistral-vibe package.
Reddit sentiment is broadly positive on model quality and price, with recurring confusion about pricing and at least one reported customer loss.
“I think I'm falling in love with how good mistral is as an AI. Like it's 8b-7b variants are just so much more dependable and good compared to qwen or something like llama.”
“Is Mistral AI actually worth it, or is it just cheap?”
“Convince me on why I should use Mistral over ChatGPT or any other AI?”
Compare Mistral with each alternative.
Frontier quality and ecosystem; pricier.
Strong reasoning and coding; premium pricing.
Open models frequently topping benchmarks; very cheap.
Meta's open models; massive community and tooling.
Mistral vs LlamaBased on 20+ public sources. Review and Reddit snippets were heavily truncated, so no numeric star ratings could be verified; OpenStack Mistral CVEs were excluded as a different product.
Anonymous. You can change your vote.
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