Model Comparison

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

DeepSeek

DeepSeek-R1-0528

DeepSeek

DeepSeek-R1-0528 is a language model developed by DeepSeek. It achieves strong performance with an average score of 68.1% across 16 benchmarks. It excels particularly in MMLU-Redux (93.4%), AIME 2024 (91.4%), AIME 2025 (87.5%). It supports a 262K token context window for handling large documents. The model is available through 3 API providers. 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.

IBM

IBM Granite 4.0 Tiny Preview

IBM

2025-05-02

DeepSeek

DeepSeek-R1-0528

DeepSeek

2025-05-28

26 days newer

Performance Metrics

Context window and performance specifications

DeepSeek

DeepSeek-R1-0528

Larger context
Max Context:262.1K
Parameters:671.0B
IBM

IBM Granite 4.0 Tiny Preview

Max Context:-
Parameters:7.0B

Performance comparison across key benchmark categories

DeepSeek

DeepSeek-R1-0528

code
+8.6%
73.3%
general
+19.5%
69.2%
IBM

IBM Granite 4.0 Tiny Preview

code
64.7%
general
49.7%

Provider Availability & Performance

Available providers and their performance metrics

DeepSeek

DeepSeek-R1-0528

3 providers

DeepInfra

Throughput: 45.04 tok/s
Latency: 0.61ms

Novita

Throughput: 37.96 tok/s
Latency: 1.18ms

DeepSeek

Throughput: 9 tok/s
Latency: 0.3ms
IBM

IBM Granite 4.0 Tiny Preview

0 providers
DeepSeek

DeepSeek-R1-0528

Avg Score:0.0%
Providers:3
IBM

IBM Granite 4.0 Tiny Preview

Avg Score:0.0%
Providers:0