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DeepSeek-V2.5 vs Granite 3.3 8B Instruct
Comprehensive side-by-side LLM comparison
DeepSeek-V2.5 leads with 3.7% higher average benchmark score. Granite 3.3 8B Instruct supports multimodal inputs. DeepSeek-V2.5 is available on 3 providers. Both models have their strengths depending on your specific coding needs.
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DeepSeek
DeepSeek-V2.5 is a language model developed by DeepSeek. It achieves strong performance with an average score of 71.1% across 15 benchmarks. It excels particularly in GSM8k (95.1%), MT-Bench (90.2%), HumanEval (89.0%). The model is available through 3 API providers. Released in 2024, it represents DeepSeek's latest advancement in AI technology.
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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%). 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.
11 months newer
DeepSeek-V2.5
DeepSeek
2024-05-08
Granite 3.3 8B Instruct
IBM
2025-04-16
Performance Metrics
Context window and performance specifications
Average performance across 24 common benchmarks
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DeepSeek-V2.5
Average Score:44.4%(+3.7%)
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Granite 3.3 8B Instruct
Average Score:40.7%
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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
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DeepSeek-V2.5
3 providers
DeepInfra
Throughput: 63 tok/s
Latency: 0.5ms
DeepSeek
Throughput: 100 tok/s
Latency: 0.5ms
Hyperbolic
Throughput: 100 tok/s
Latency: 0.5ms
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DeepSeek-V2.5
Avg Score:44.4%(+3.7%)
Providers:3
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Granite 3.3 8B Instruct
Avg Score:40.7%
Providers:0