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 3 24B Instruct

Mistral AI

Mistral Small 3 24B Instruct is a language model developed by Mistral AI. It achieves strong performance with an average score of 71.7% across 8 benchmarks. It excels particularly in Arena Hard (87.6%), HumanEval (84.8%), MT-Bench (83.5%). The model shows particular specialization in code tasks with an average performance of 83.9%. The model is available through 2 API providers. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents Mistral AI's latest advancement in AI technology.

DeepSeek-R1

DeepSeek

2025-01-20

Mistral Small 3 24B Instruct

Mistral AI

2025-01-30

10 days newer

Pricing Comparison

Cost per million tokens (USD)

DeepSeek-R1

Input:$0.55

Output:$2.19

Mistral Small 3 24B Instruct

$2.53 cheaper

Input:$0.07

Output:$0.14

Performance Metrics

Context window and performance specifications

DeepSeek-R1

Larger context

Max Context:262.1K

Parameters:671.0B

Mistral Small 3 24B Instruct

Max Context:64.0K

Parameters:24.0B

Average performance across 4 common benchmarks

DeepSeek-R1

+12.3%

Average Score:82.8%

Mistral Small 3 24B Instruct

Average Score:70.5%

Performance comparison across key benchmark categories

DeepSeek-R1

math

+26.7%

97.3%

code

82.1%

general

+12.4%

75.3%

Mistral Small 3 24B Instruct

math

70.6%

code

+1.7%

83.9%

general

62.9%

Benchmark Scores - Detailed View

Side-by-side comparison of all benchmark scores

Knowledge Cutoff

Training data recency comparison

Mistral Small 3 24B Instruct

2023-10-01

More recent knowledge cutoff means awareness of newer technologies and frameworks

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 3 24B Instruct

2 providers

DeepInfra

Throughput: 49 tok/s

Latency: 0.2ms

Mistral AI

Throughput: 134 tok/s

Latency: 0.2ms

DeepSeek-R1

+12.3%

Avg Score:82.8%

Providers:4

Mistral Small 3 24B Instruct

Avg Score:70.5%

Providers:2