Pricing: Freemium — from $0
Best for: General Assistant
About
Mixtral is Mistral AI's open-weight sparse mixture-of-experts (MoE) model that delivers performance comparable to much larger models by activating only a subset of its parameters per token.
In-Depth Review
Mixtral 8x7B was released by Mistral AI in December 2023 and quickly became one of the most significant open-source model releases, demonstrating that mixture-of-experts architecture could produce frontier-competitive performance at a fraction of the inference cost.
**The mixture-of-experts architecture:** Mixtral has 8 expert networks of 7B parameters each, but only 2 are activated for any given token. This means the model has 47B total parameters but runs with the compute of a 13B model — high quality at lower cost.
**Performance:** Mixtral 8x7B outperforms Llama 2 70B on most benchmarks and matches GPT-3.5 on many tasks, despite being faster and cheaper to run. Mistral's subsequent Mixtral 8x22B pushed performance further, competitive with GPT-4 on coding and reasoning.
**How to access:** - **API:** Available via Mistral's La Plateforme API (pay-per-token), with a free tier for testing - **Le Chat:** Mistral's consumer interface at chat.mistral.ai uses Mixtral under the hood - **Self-hosted:** Models available on Hugging Face; run locally via Ollama, LM Studio, or vLLM - **Third-party:** Available through Perplexity, Poe, and many AI API aggregators
**Strengths:** Strong coding performance. Multilingual by design (French, German, Spanish, Italian in addition to English). Fast inference. Open weights with a permissive Apache 2.0 license for the 8x7B model.
**Mixtral 8x22B:** The larger variant (released April 2024) is significantly more capable, with 141B total parameters (39B active), competitive on complex reasoning tasks and coding with models far above its weight class.
**Alternatives:** Meta's Llama 3 70B is the primary open-source competitor. Google's Gemma 2 27B is smaller but competitive. For API access with similar pricing, Groq offers extremely fast Mixtral inference.
Pricing
Freemium — from $0
Capabilities
Technical
- API Available
- Yes
- Languages
- English, French, German, Spanish, Italian
- Model
- Mixtral 8x7B (47B params / 13B active), Mixtral 8x22B (141B params / 39B active)
Categories
Pros & Cons
Pros
- Frontier-competitive performance at fraction of inference cost
- Apache 2.0 license — full commercial use
- Strong multilingual performance (5 languages)
- Available via API, self-hosted, or consumer apps
Cons
- More complex to self-host than smaller models
- 8x22B requires significant hardware
- Less brand recognition than GPT-4/Claude with non-technical users
- Base model — no built-in chat interface without Le Chat
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Frequently Asked Questions
- Is Mixtral free to use?
- Mixtral offers a free tier. Paid plans start from $0.
- What can Mixtral do?
- Mixtral supports text, code. Mixtral is Mistral AI's open-weight sparse mixture-of-experts (MoE) model that delivers performance comparable to much larger models by activating only a subset of its parameters per token.
- Is Mixtral good for general assistant?
- Yes, Mixtral is well-suited for general assistant. Mixtral is Mistral AI's open-weight sparse mixture-of-experts (MoE) model that delivers performance comparable to much larger models by activating onl
- Does Mixtral have an API?
- Yes, Mixtral has a public API available for developers.
- What languages does Mixtral support?
- Mixtral supports multiple languages including English, French, German, Spanish, Italian.
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