Mixtral 8x7B
Mistral's open-source mixture-of-experts model offering GPT-3.5 performance with efficient inference through sparse activation.
Language ModelsFree
4.7 (4321 reviews)
Key Features
- Mixture of experts
- 32K context
- Open weights
- Multiple languages
- Function calling
- Fast inference
Pros
- Open source and free
- Efficient MoE architecture
- Strong performance
- 32K context window
- Can run on consumer hardware
- Commercial use allowed
Cons
- Still requires good GPU
- Not as capable as GPT-4
- Limited ecosystem
- Setup complexity
- No official support
- Can be inconsistent
Use Cases
Best For:
Self-hosted applicationsResearch projectsCost-sensitive deploymentsPrivacy-focused appsEdge computing
Not Recommended For:
Cutting-edge performanceNon-technical usersQuick prototypesLimited hardware
Recent Reviews
John Developer
2 weeks ago
Excellent tool that has transformed our workflow. The API is well-documented and easy to integrate.
Sarah Tech
1 month ago
Great features but took some time to learn. Once you get the hang of it, it's incredibly powerful.
Mike Business
2 months ago
Best investment for our team. Increased productivity by 40% in just the first month.
Quick Info
CategoryLanguage Models
PricingFree
Rating4.7/5
Reviews4321
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