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DeepSeek-R1 vs Granite 3.3 8B Instruct
Comprehensive side-by-side LLM comparison
Granite 3.3 8B Instruct supports multimodal inputs. DeepSeek-R1 is available on 5 providers. Both models have their strengths depending on your specific coding needs.
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DeepSeek
DeepSeek-R1 was developed as a reasoning-focused language model, designed to combine chain-of-thought reasoning with reinforcement learning techniques. Built to excel at complex problem-solving through trial-and-error learning and deliberate analytical processes, it demonstrates the power of efficient training methods in open-source model development.
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IBM
Granite 3.3 8B Instruct was created as the instruction-tuned version of the Granite base model, designed to follow instructions reliably in enterprise settings. Built to serve business applications requiring dependable language understanding, it provides IBM's accessible interface for enterprise AI.
2 months newer
DeepSeek-R1
DeepSeek
2025-01-20
Granite 3.3 8B Instruct
IBM
2025-04-16
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Performance Metrics
Context window and performance specifications
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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-R1
5 providers
DeepInfra
Throughput: 0.9 tok/s
Latency: 0.3ms
DeepSeek
Throughput: 9 tok/s
Latency: 0.3ms
Fireworks
Throughput: 2.1 tok/s
Latency: 0.3ms
Together
Throughput: 4 tok/s
Latency: 0.6ms
ZeroEval
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DeepSeek-R1
Avg Score:0.0%
Providers:5
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Granite 3.3 8B Instruct
Avg Score:0.0%
Providers:0