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DeepSeek-R1 vs Grok-2 mini
Comprehensive side-by-side LLM comparison
Grok-2 mini 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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xAI
Grok 2 Mini was created as a more efficient variant of Grok 2, designed to provide strong capabilities with reduced computational requirements. Built to make Grok 2's advancements accessible to applications with tighter resource constraints, it balances performance with practical deployment needs.
5 months newer
Grok-2 mini
xAI
2024-08-13
DeepSeek-R1
DeepSeek
2025-01-20
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Performance Metrics
Context window and performance specifications
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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Grok-2 mini
Avg Score:0.0%
Providers:0