+
+
+
+
+
+
+
+
VS
VS
VS
VS
VS
VS
Mistral Small vs Phi-3.5-mini-instruct
Comprehensive side-by-side LLM comparison
Phi-3.5-mini-instruct offers 190.5K more tokens in context window than Mistral Small. Phi-3.5-mini-instruct is $0.60 cheaper per million tokens. Both models have their strengths depending on your specific coding needs.
+
+
+
+
Mistral AI
Mistral Small is a language model developed by Mistral AI. The model is available through 1 API provider. Released in 2024, it represents Mistral AI's latest advancement in AI technology.
+
+
+
+
Microsoft
Phi-3.5-mini-instruct is a language model developed by Microsoft. The model shows competitive results across 31 benchmarks. It excels particularly in GSM8k (86.2%), ARC-C (84.6%), RULER (84.1%). It supports a 256K token context window for handling large documents. The model is available through 1 API provider. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2024, it represents Microsoft's latest advancement in AI technology.
25 days newer
Phi-3.5-mini-instruct
Microsoft
2024-08-23
Mistral Small
Mistral AI
2024-09-17
Pricing Comparison
Cost per million tokens (USD)
+
+
+
+
Mistral Small
Input:$0.20
Output:$0.60
+
+
+
+
Phi-3.5-mini-instruct
Input:$0.10
Output:$0.10($0.60 cheaper)
Performance Metrics
Context window and performance specifications
Average performance across 31 common benchmarks
+
+
+
+
Mistral Small
Average Score:0.0%
+
+
+
+
Phi-3.5-mini-instruct
Average Score:58.7%(+58.7%)
Provider Availability & Performance
Available providers and their performance metrics
+
+
+
+
Mistral Small
1 providers
Mistral AI
Throughput: 0.1 tok/s
Latency: 0.5ms
+
+
+
+
Phi-3.5-mini-instruct
+
+
+
+
Mistral Small
Avg Score:0.0%
Providers:1
+
+
+
+
Phi-3.5-mini-instruct
Avg Score:58.7%(+58.7%)
Providers:1