+
+
+
+
+
+
+
+
VS
VS
VS
VS
VS
VS
Llama 3.1 8B Instruct vs QwQ-32B
Comprehensive side-by-side LLM comparison
QwQ-32B leads with 9.5% higher average benchmark score. Llama 3.1 8B Instruct is available on 9 providers. Overall, QwQ-32B is the stronger choice for coding tasks.
+
+
+
+
Meta
Llama 3.1 8B was developed as an efficient open-source model, designed to bring capable instruction-following to applications with limited computational resources. Built with 8 billion parameters, it provides a lightweight option for developers seeking reliable performance without the overhead of larger models.
+
+
+
+
Alibaba Cloud / Qwen Team
QwQ 32B was developed as a reasoning-focused model, designed to emphasize analytical thinking and problem-solving capabilities. Built with 32 billion parameters optimized for step-by-step reasoning, it demonstrates Qwen's exploration into models that prioritize deliberate analytical processing.
7 months newer
Llama 3.1 8B Instruct
Meta
2024-07-23
QwQ-32B
Alibaba Cloud / Qwen Team
2025-03-05
+
+
+
+
+
+
+
+
+
+
+
+
Performance Metrics
Context window and performance specifications
Average performance across 3 common benchmarks
+
+
+
+
Llama 3.1 8B Instruct
Average Score:62.3%
+
+
+
+
QwQ-32B
Average Score:71.8%(+9.5%)
+
+
+
+
Knowledge Cutoff
Training data recency comparison
Llama 3.1 8B Instruct
2023-12-31
QwQ-32B
2024-11-28
More recent knowledge cutoff means awareness of newer technologies and frameworks
Provider Availability & Performance
Available providers and their performance metrics
+
+
+
+
Llama 3.1 8B Instruct
9 providers
Bedrock
Throughput: 100 tok/s
Latency: 0.5ms
Cerebras
Throughput: 2047 tok/s
Latency: 0.2ms
DeepInfra
Throughput: 118 tok/s
Latency: 0.5ms
Fireworks
Throughput: 292 tok/s
Latency: 0.5ms
Groq
+
+
+
+
Llama 3.1 8B Instruct
Avg Score:62.3%
Providers:9
+
+
+
+
QwQ-32B
Avg Score:71.8%(+9.5%)
Providers:0