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Model Comparison

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

DeepSeek

DeepSeek-V3.1

DeepSeek

DeepSeek-V3.1 is a language model developed by DeepSeek. The model shows competitive results across 16 benchmarks. It excels particularly in SimpleQA (93.4%), MMLU-Redux (91.8%), MMLU-Pro (83.7%). The model shows particular specialization in factuality tasks with an average performance of 92.6%. It supports a 328K token context window for handling large documents. 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 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-V3.1

DeepSeek

2025-01-10

IBM

IBM Granite 4.0 Tiny Preview

IBM

2025-05-02

3 months newer

Performance Metrics

Context window and performance specifications

DeepSeek

DeepSeek-V3.1

Larger context
Max Context:327.7K
Parameters:671.0B
IBM

IBM Granite 4.0 Tiny Preview

Max Context:-
Parameters:7.0B

Performance comparison across key benchmark categories

DeepSeek

DeepSeek-V3.1

factuality
+34.5%
92.6%
math
41.6%
code
56.5%
general
+7.6%
57.3%
IBM

IBM Granite 4.0 Tiny Preview

factuality
58.1%
math
+28.4%
70.1%
code
+8.3%
64.7%
general
49.7%

Provider Availability & Performance

Available providers and their performance metrics

DeepSeek

DeepSeek-V3.1

2 providers

DeepInfra

Novita

IBM

IBM Granite 4.0 Tiny Preview

0 providers
DeepSeek

DeepSeek-V3.1

Avg Score:0.0%
Providers:2
IBM

IBM Granite 4.0 Tiny Preview

Avg Score:0.0%
Providers:0