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Mistral NeMo Instruct vs Phi 4
Comprehensive side-by-side LLM comparison
Phi 4 leads with 16.8% higher average benchmark score. Mistral NeMo Instruct offers 224.0K more tokens in context window than Phi 4. Both models have similar pricing. Overall, Phi 4 is the stronger choice for coding tasks.
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Mistral AI
Mistral Nemo was developed as a mid-sized instruction-tuned model, designed to balance capability with efficiency for practical deployments. Built to serve as a versatile foundation for various applications, it provides reliable performance across general language understanding and generation tasks.
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Microsoft
Phi-4 was introduced as the fourth generation of Microsoft's small language model series, designed to push the boundaries of what compact models can achieve. Built with advanced training techniques and architectural improvements, it demonstrates continued progress in efficient, high-quality language models.
4 months newer
Mistral NeMo Instruct
Mistral AI
2024-07-18
Phi 4
Microsoft
2024-12-12
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Pricing Comparison
Cost per million tokens (USD)
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Mistral NeMo Instruct
Input:$0.15
Output:$0.15
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Phi 4
Input:$0.07
Output:$0.14($0.09 cheaper)
Performance Metrics
Context window and performance specifications
Average performance across 1 common benchmarks
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Mistral NeMo Instruct
Average Score:68.0%
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Phi 4
Average Score:84.8%(+16.8%)
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Knowledge Cutoff
Training data recency comparison
Phi 4
2024-06-01
More recent knowledge cutoff means awareness of newer technologies and frameworks
Provider Availability & Performance
Available providers and their performance metrics
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Mistral NeMo Instruct
2 providers
Throughput: 42 tok/s
Latency: 0.4ms
Mistral AI
Throughput: 0.1 tok/s
Latency: 0.5ms
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Mistral NeMo Instruct
Avg Score:68.0%
Providers:2
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Phi 4
Avg Score:84.8%(+16.8%)
Providers:1