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.

Qwen2.5-Coder 32B Instruct

Alibaba

Qwen2.5-Coder 32B Instruct is a language model developed by Alibaba. It achieves strong performance with an average score of 64.9% across 15 benchmarks. It excels particularly in HumanEval (92.7%), GSM8k (91.1%), MBPP (90.2%). The model shows particular specialization in reasoning tasks with an average performance of 78.1%. It supports a 256K token context window for handling large documents. The model is available through 4 API providers. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2024, it represents Alibaba's latest advancement in AI technology.

Mistral Small

Mistral AI

2024-09-17

Qwen2.5-Coder 32B Instruct

Alibaba

2024-09-19

2 days newer

Pricing Comparison

Cost per million tokens (USD)

Mistral Small

Input:$0.20

Output:$0.60

Qwen2.5-Coder 32B Instruct

$0.62 cheaper

Input:$0.09

Output:$0.09

Performance Metrics

Context window and performance specifications

Mistral Small

Max Context:65.5K

Parameters:22.0B

Qwen2.5-Coder 32B Instruct

Larger context

Max Context:256.0K

Parameters:32.0B

Provider Availability & Performance

Available providers and their performance metrics

Mistral Small

1 providers

Mistral AI

Throughput: 0.1 tok/s

Latency: 0.5ms

Qwen2.5-Coder 32B Instruct

4 providers

Hyperbolic

Throughput: 100 tok/s

Latency: 0.5ms

DeepInfra

Throughput: 44 tok/s

Latency: 0.5ms

Fireworks

Throughput: 110 tok/s

Latency: 0.26ms

Lambda

Throughput: 42 tok/s

Latency: 0.5ms

Mistral Small

Avg Score:0.0%

Providers:1

Qwen2.5-Coder 32B Instruct

Avg Score:0.0%

Providers:4