+
+
+
+
+
+
+
+
VS
VS
VS
VS
VS
VS
Mistral NeMo Instruct vs Qwen3 30B A3B
Comprehensive side-by-side LLM comparison
Both models have similar pricing. Both models have their strengths depending on your specific coding needs.
+
+
+
+
Mistral AI
Mistral Nemo was developed as a mid-sized instruction-tuned model, designed to balance capability with efficiency for practical deployments. Built to serve as a versatile foundation for various applications, it provides reliable performance across general language understanding and generation tasks.
+
+
+
+
Alibaba Cloud / Qwen Team
Qwen3 30B was created with a mixture-of-experts architecture featuring 30 billion total parameters and 3 billion active parameters. Built to provide strong capabilities with efficient inference through sparse activation, it balances performance with practical computational requirements.
9 months newer
Mistral NeMo Instruct
Mistral AI
2024-07-18
Qwen3 30B A3B
Alibaba Cloud / Qwen Team
2025-04-29
+
+
+
+
+
+
+
+
+
+
+
+
Pricing Comparison
Cost per million tokens (USD)
+
+
+
+
Mistral NeMo Instruct
Input:$0.15
Output:$0.15($0.10 cheaper)
+
+
+
+
Qwen3 30B A3B
Input:$0.10
Output:$0.30
Performance Metrics
Context window and performance specifications
Provider Availability & Performance
Available providers and their performance metrics
+
+
+
+
Mistral NeMo Instruct
2 providers
Throughput: 42 tok/s
Latency: 0.4ms
Mistral AI
Throughput: 0.1 tok/s
Latency: 0.5ms
+
+
+
+
+
+
+
+
Mistral NeMo Instruct
Avg Score:0.0%
Providers:2
+
+
+
+
Qwen3 30B A3B
Avg Score:0.0%
Providers:3