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-MoE-instruct

Microsoft

Phi-3.5-MoE-instruct is a language model developed by Microsoft. It achieves strong performance with an average score of 65.6% across 31 benchmarks. It excels particularly in ARC-C (91.0%), OpenBookQA (89.6%), GSM8k (88.7%). The model shows particular specialization in reasoning tasks with an average performance of 85.4%. 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-MoE-instruct

Microsoft

2024-08-23

1 month newer

Performance Metrics

Context window and performance specifications

Mistral AI

Mistral NeMo Instruct

Larger context
Max Context:256.0K
Parameters:12.0B
Microsoft

Phi-3.5-MoE-instruct

Max Context:-
Parameters:60.0B

Average performance across 5 common benchmarks

Mistral AI

Mistral NeMo Instruct

Average Score:67.8%
Microsoft

Phi-3.5-MoE-instruct

+14.4%
Average Score:82.2%

Performance comparison across key benchmark categories

Mistral AI

Mistral NeMo Instruct

reasoning
80.2%
factuality
50.3%
general
60.8%
Microsoft

Phi-3.5-MoE-instruct

reasoning
+5.2%
85.4%
factuality
+27.2%
77.5%
general
+0.1%
60.9%
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-MoE-instruct

0 providers
Mistral AI

Mistral NeMo Instruct

Avg Score:67.8%
Providers:2
Microsoft

Phi-3.5-MoE-instruct

+14.4%
Avg Score:82.2%
Providers:0