Model Comparison

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

Mistral Small

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.

Phi 4

Microsoft

Phi 4 is a language model developed by Microsoft. It achieves strong performance with an average score of 66.0% across 13 benchmarks. It excels particularly in MMLU (84.8%), HumanEval+ (82.8%), HumanEval (82.6%). The model shows particular specialization in math tasks with an average performance of 80.5%. 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 Small

Mistral AI

2024-09-17

Phi 4

Microsoft

2024-12-12

2 months newer

Pricing Comparison

Cost per million tokens (USD)

Mistral Small

Input:$0.20

Output:$0.60

Phi 4

$0.59 cheaper

Input:$0.07

Output:$0.14

Performance Metrics

Context window and performance specifications

Mistral Small

Larger context

Max Context:65.5K

Parameters:22.0B

Phi 4

Max Context:32.0K

Parameters:14.7B

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

Mistral Small

1 providers

Mistral AI

Throughput: 0.1 tok/s

Latency: 0.5ms

Phi 4

1 providers

DeepInfra

Throughput: 33 tok/s

Latency: 0.2ms

Mistral Small

Avg Score:0.0%

Providers:1

Phi 4

Avg Score:0.0%

Providers:1