Model Comparison

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

DeepSeek

DeepSeek R1 Distill Qwen 32B

DeepSeek

DeepSeek R1 Distill Qwen 32B is a language model developed by DeepSeek. It achieves strong performance with an average score of 74.2% across 4 benchmarks. It excels particularly in MATH-500 (94.3%), AIME 2024 (83.3%), GPQA (62.1%). It supports a 256K token context window for handling large documents. The model is available through 1 API provider. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents DeepSeek's latest advancement in AI technology.

IBM

IBM Granite 4.0 Tiny Preview

IBM

IBM Granite 4.0 Tiny Preview is a language model developed by IBM. The model shows competitive results across 12 benchmarks. It excels particularly in AttaQ (86.1%), HumanEval (82.4%), HumanEval+ (78.3%). It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents IBM's latest advancement in AI technology.

DeepSeek

DeepSeek R1 Distill Qwen 32B

DeepSeek

2025-01-20

IBM

IBM Granite 4.0 Tiny Preview

IBM

2025-05-02

3 months newer

Performance Metrics

Context window and performance specifications

DeepSeek

DeepSeek R1 Distill Qwen 32B

Larger context
Max Context:256.0K
Parameters:32.8B
IBM

IBM Granite 4.0 Tiny Preview

Max Context:-
Parameters:7.0B

Performance comparison across key benchmark categories

DeepSeek

DeepSeek R1 Distill Qwen 32B

math
+24.2%
94.3%
general
+23.0%
72.7%
code
57.2%
IBM

IBM Granite 4.0 Tiny Preview

math
70.1%
general
49.7%
code
+7.5%
64.7%

Provider Availability & Performance

Available providers and their performance metrics

DeepSeek

DeepSeek R1 Distill Qwen 32B

1 providers

DeepInfra

Throughput: 37 tok/s
Latency: 0.65ms
IBM

IBM Granite 4.0 Tiny Preview

0 providers
DeepSeek

DeepSeek R1 Distill Qwen 32B

Avg Score:0.0%
Providers:1
IBM

IBM Granite 4.0 Tiny Preview

Avg Score:0.0%
Providers:0