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DeepSeek-R1 vs Qwen3-Next-80B-A3B-Base
Comprehensive side-by-side LLM comparison
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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Alibaba Cloud / Qwen Team
Qwen3-Next 80B Base was introduced as an experimental base model with 80 billion total parameters and 3 billion active parameters. Built to explore advanced mixture-of-experts architectures, it provides a foundation for fine-tuning and research into efficient large-scale model design.
7 months newer
DeepSeek-R1
DeepSeek
2025-01-20
Qwen3-Next-80B-A3B-Base
Alibaba Cloud / Qwen Team
2025-09-10
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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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Qwen3-Next-80B-A3B-Base
Avg Score:0.0%
Providers:0