AI Launch Profile
Mistral Small 3.1
Mistral AI released Mistral Small 3.1, an Apache 2.0 multimodal and multilingual model with improved text performance and 128K context.
At a glance
Launch Snapshot
- Company
- Mistral AI
- Launch date
- March 17, 2025
- Launch type
- Open-Source Release
- Category
- AI Open-Weight Models
- Audience
- Developers, Enterprises, Researchers
- Pricing
- Apache 2.0 model availability for download, with API and cloud platform access through Mistral and partners.
- Free plan
- Yes
- API
- Yes
- Open weights/source
- Yes
Launch Context
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Verification & Sources
- Status
- Verified
- Source links
- 3
- Freshness
- Needs recheck: verified June 8, 2026
- Last verified
- June 8, 2026
- Last updated
- June 11, 2026
Key source checks
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Kingy Launch Score
7.0 / 10 · Solid
One earned credibility score, computed from cited evidence — not a placeholder. How the Kingy Launch Score works
Why this score
- Source & verification 7.0/10 — The Mistral announcement plus the model card documentation — two first-party sources. mistral.ai
- Product evidence 8.0/10 — An Apache 2.0 multimodal, multilingual model with 128K context, available for download and via API and cloud platforms. docs.mistral.ai
- Significance & novelty 6.0/10 — The record frames it as a strong fit for teams that care about deployability, latency, and open licensing — capable small models mattering in production. mistral.ai
- Traction signals not scored — insufficient sourced evidence
- Offer clarity 6.5/10 — Apache 2.0 availability for download, with API and cloud-platform access through Mistral and partners. mistral.ai
Evidence checked 2026-07-11
Creator Coverage Next Steps
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Kingy AI Take
Mistral released Mistral Small 3.1, an Apache 2.0 multimodal and multilingual model with improved text performance and 128K context (mistral.ai). It is a capable small open model for teams that care about deployability, latency, and open licensing. Performance should be compared against newer small models before adoption, so benchmark on your target latency and hardware.
Who it is for
Developers and enterprises seeking a capable small open model for assistants, function calling, image understanding, and lower-latency workflows.
Traction notes
Strong fit for teams that care about deployability, latency, and open licensing.
Source-backed record