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DeepSeek-V2.5 vs IBM Granite 4.0 Tiny Preview
Comprehensive side-by-side LLM comparison
DeepSeek-V2.5 leads with 17.4% higher average benchmark score. DeepSeek-V2.5 is available on 3 providers. Overall, DeepSeek-V2.5 is the stronger choice for coding tasks.
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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
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.
11 months newer
DeepSeek-V2.5
DeepSeek
2024-05-08
IBM Granite 4.0 Tiny Preview
IBM
2025-05-02
Performance Metrics
Context window and performance specifications
Average performance across 22 common benchmarks
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DeepSeek-V2.5
Average Score:48.5%(+17.4%)
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IBM Granite 4.0 Tiny Preview
Average Score:31.1%
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:48.5%(+17.4%)
Providers:3
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IBM Granite 4.0 Tiny Preview
Avg Score:31.1%
Providers:0