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DeepSeek R1 Distill Llama 70B vs Gemini 2.0 Flash
Comprehensive side-by-side LLM comparison
DeepSeek R1 Distill Llama 70B leads with 12.7% higher average benchmark score. Gemini 2.0 Flash offers 800.8K more tokens in context window than DeepSeek R1 Distill Llama 70B. Both models have similar pricing. Gemini 2.0 Flash supports multimodal inputs. Overall, DeepSeek R1 Distill Llama 70B is the stronger choice for coding tasks.
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DeepSeek
DeepSeek-R1-Distill-Llama-70B was created through knowledge distillation from DeepSeek-R1 into a Llama-based architecture, designed to transfer reasoning capabilities to a widely-used open-source foundation. Built to combine DeepSeek's reasoning innovations with Llama's ecosystem compatibility, it enables broader access to advanced reasoning techniques.
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Gemini 2.0 Flash was developed as the next generation of Google's fast multimodal model, designed to provide improved performance while maintaining the speed and efficiency that defines the Flash family. Built with enhanced reasoning and generation capabilities, it serves applications requiring both quality and responsiveness.
1 month newer
Gemini 2.0 Flash
2024-12-01
DeepSeek R1 Distill Llama 70B
DeepSeek
2025-01-20
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Pricing Comparison
Cost per million tokens (USD)
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DeepSeek R1 Distill Llama 70B
Input:$0.10
Output:$0.40
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Gemini 2.0 Flash
Input:$0.10
Output:$0.40
Performance Metrics
Context window and performance specifications
Average performance across 2 common benchmarks
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DeepSeek R1 Distill Llama 70B
Average Score:61.3%(+12.7%)
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Gemini 2.0 Flash
Average Score:48.6%
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Knowledge Cutoff
Training data recency comparison
Gemini 2.0 Flash
2024-08-01
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 Distill Llama 70B
1 providers
DeepInfra
Throughput: 37 tok/s
Latency: 0.65ms
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Gemini 2.0 Flash
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DeepSeek R1 Distill Llama 70B
Avg Score:61.3%(+12.7%)
Providers:1
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Gemini 2.0 Flash
Avg Score:48.6%
Providers:1