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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

Granite 3.3 8B Instruct

IBM

Granite 3.3 8B Instruct is a multimodal language model developed by IBM. It achieves strong performance with an average score of 69.8% across 14 benchmarks. It excels particularly in HumanEval (89.7%), AttaQ (88.5%), HumanEval+ (86.1%). The model shows particular specialization in code tasks with an average performance of 78.3%. As a multimodal model, it can process and understand text, images, and other input formats seamlessly. 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

Granite 3.3 8B Instruct

IBM

2025-04-16

3 months newer

Performance Metrics

Context window and performance specifications

DeepSeek

DeepSeek-V3.1

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

Granite 3.3 8B Instruct

Max Context:-
Parameters:8.0B

Average performance across 1 common benchmarks

DeepSeek

DeepSeek-V3.1

Average Score:66.3%
IBM

Granite 3.3 8B Instruct

+14.9%
Average Score:81.2%

Performance comparison across key benchmark categories

DeepSeek

DeepSeek-V3.1

factuality
+25.7%
92.6%
code
56.5%
math
41.6%
general
57.3%
IBM

Granite 3.3 8B Instruct

factuality
66.9%
code
+21.9%
78.3%
math
+33.3%
75.0%
general
+6.6%
63.9%
Benchmark Scores - Detailed View
Side-by-side comparison of all benchmark scores
Knowledge Cutoff
Training data recency comparison

Granite 3.3 8B Instruct

2024-04-01

More recent knowledge cutoff means awareness of newer technologies and frameworks

Provider Availability & Performance

Available providers and their performance metrics

DeepSeek

DeepSeek-V3.1

2 providers

DeepInfra

Novita

IBM

Granite 3.3 8B Instruct

0 providers
DeepSeek

DeepSeek-V3.1

Avg Score:66.3%
Providers:2
IBM

Granite 3.3 8B Instruct

+14.9%
Avg Score:81.2%
Providers:0