Model Comparison

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

DeepSeek-R1

DeepSeek

DeepSeek-R1 is a language model developed by DeepSeek. It achieves strong performance with an average score of 74.1% across 20 benchmarks. It excels particularly in MATH-500 (97.3%), MMLU-Redux (92.9%), CLUEWSC (92.8%). It supports a 262K token context window for handling large documents. The model is available through 4 API providers. Released in 2025, it represents DeepSeek's latest advancement in AI technology.

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.

Mistral Small

Mistral AI

2024-09-17

DeepSeek-R1

DeepSeek

2025-01-20

4 months newer

Pricing Comparison

Cost per million tokens (USD)

DeepSeek-R1

Input:$0.55

Output:$2.19

Mistral Small

$1.94 cheaper

Input:$0.20

Output:$0.60

Performance Metrics

Context window and performance specifications

DeepSeek-R1

Larger context

Max Context:262.1K

Parameters:671.0B

Mistral Small

Max Context:65.5K

Parameters:22.0B

Provider Availability & Performance

Available providers and their performance metrics

DeepSeek-R1

4 providers

Together

Throughput: 4 tok/s

Latency: 0.6ms

DeepInfra

Throughput: 0.9 tok/s

Latency: 0.3ms

Fireworks

Throughput: 2.1 tok/s

Latency: 0.3ms

DeepSeek

Throughput: 9 tok/s

Latency: 0.3ms

Mistral Small

1 providers

Mistral AI

Throughput: 0.1 tok/s

Latency: 0.5ms

DeepSeek-R1

Avg Score:0.0%

Providers:4

Mistral Small

Avg Score:0.0%

Providers:1