Model Comparison

Comprehensive side-by-side analysis of model capabilities and performance

Mistral AI

Mistral NeMo Instruct

Mistral AI

Mistral NeMo Instruct is a language model developed by Mistral AI. It achieves strong performance with an average score of 64.3% across 8 benchmarks. It excels particularly in HellaSwag (83.5%), Winogrande (76.8%), TriviaQA (73.8%). The model shows particular specialization in reasoning tasks with an average performance of 80.2%. It supports a 256K token context window for handling large documents. The model is available through 2 API providers. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2024, it represents Mistral AI's latest advancement in AI technology.

Microsoft

Phi-3.5-mini-instruct

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.

Mistral AI

Mistral NeMo Instruct

Mistral AI

2024-07-18

Microsoft

Phi-3.5-mini-instruct

Microsoft

2024-08-23

1 month newer

Pricing Comparison

Cost per million tokens (USD)

Mistral AI

Mistral NeMo Instruct

Input:$0.15
Output:$0.15
Microsoft

Phi-3.5-mini-instruct

$0.10 cheaper
Input:$0.10
Output:$0.10

Performance Metrics

Context window and performance specifications

Mistral AI

Mistral NeMo Instruct

Max Context:256.0K
Parameters:12.0B
Microsoft

Phi-3.5-mini-instruct

Max Context:256.0K
Parameters:3.8B

Average performance across 5 common benchmarks

Mistral AI

Mistral NeMo Instruct

Average Score:67.8%
Microsoft

Phi-3.5-mini-instruct

+2.2%
Average Score:70.0%

Performance comparison across key benchmark categories

Mistral AI

Mistral NeMo Instruct

reasoning
+6.0%
80.2%
factuality
50.3%
general
+5.4%
60.8%
Microsoft

Phi-3.5-mini-instruct

reasoning
74.2%
factuality
+13.7%
64.0%
general
55.4%
Benchmark Scores - Detailed View
Side-by-side comparison of all benchmark scores

Provider Availability & Performance

Available providers and their performance metrics

Mistral AI

Mistral NeMo Instruct

2 providers

Google

Throughput: 42 tok/s
Latency: 0.4ms

Mistral AI

Throughput: 0.1 tok/s
Latency: 0.5ms
Microsoft

Phi-3.5-mini-instruct

1 providers

Azure

Throughput: 23 tok/s
Latency: 0.52ms
Mistral AI

Mistral NeMo Instruct

Avg Score:67.8%
Providers:2
Microsoft

Phi-3.5-mini-instruct

+2.2%
Avg Score:70.0%
Providers:1