Mixtral 7B
Lightweight open-weight Mistral model for experimentation, fine-tuning, and self-hosted AI agents.
Performance Benchmarks
MMLU (General Knowledge)
Measures broad knowledge across 57 subjects
Coding Performance
Code generation, debugging, and understanding
Reasoning & Logic
Complex problem-solving and analytical thinking
Overall Score: 78.5% - Good performance, solid choice for many applications
About Mixtral 7B
Lightweight open-weight Mistral model for experimentation, fine-tuning, and self-hosted AI agents.
Mixtral 7B is designed for open research, fine-tuning, experimental agents, making it an ideal choice for developers and businesses looking for cost-effective AI capabilities. With a context window of 32k, it can handle moderate-sized documents and conversations.
Priced at $0.00 per million tokens, Mixtral 7B offers exceptional value for high-volume applications. It's particularly well-suited for research experiments, custom chatbots, prototype ai agents.
Key Strengths
- Open weights
- Efficient inference
- Fine-tuning friendly
- Multimodal support
- Community adoption
Limitations to Consider
- Small context
- Moderate reasoning
- Not enterprise-optimized
- Limited benchmarks
- Needs fine-tuning for production
Ideal Use Cases
Mixtral 7B excels in the following applications and scenarios:
Pricing & Cost Analysis
Extremely affordable for high-volume applications
💡 Cost Tip: For applications processing over 1 billion tokens monthly, consider this model offers excellent value at scale.
Quick Stats
Top Competitors
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DeepMindFrequently Asked Questions
What is Mixtral 7B best used for?
Mixtral 7B is specifically optimized for open research, fine-tuning, experimental agents. It excels in research experiments, custom chatbots, prototype ai agents, making it ideal for both individuals and enterprises looking for reliable AI capabilities in these areas.
How much does Mixtral 7B cost?
Mixtral 7B is priced at $0.00 per million tokens. For typical usage of 10 million tokens per month (approximately 300,000 words), this translates to $0.00 monthly. This makes it one of the more affordable options in its category.
How does Mixtral 7B compare to GPT-4?
Mixtral 7B provides solid performance with a coding score of 78% and reasoning score of 78.5%. At $0.00 per million tokens, it's more cost-effective than GPT-4 Turbo's $10.00 pricing. See detailed comparison →
What is the context window size?
Mixtral 7B has a 32k context window, which supports moderate-sized documents - approximately 24,000 words or 80 pages.
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