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Mistral NeMo Instruct vs Qwen3 235B A22B
Comprehensive side-by-side LLM comparison
Qwen3 235B A22B leads with 19.8% higher average benchmark score. Both models have similar pricing. Qwen3 235B A22B is available on 4 providers. Overall, Qwen3 235B A22B is the stronger choice for coding tasks.
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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.
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Alibaba Cloud / Qwen Team
Qwen3 235B was developed as a large-scale model with 235 billion total parameters using a mixture-of-experts architecture activating 22 billion parameters. Built to provide frontier capabilities with computational efficiency through sparse activation, it represents Qwen's advancement into very large-scale model development.
9 months newer
Mistral NeMo Instruct
Mistral AI
2024-07-18
Qwen3 235B A22B
Alibaba Cloud / Qwen Team
2025-04-29
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Pricing Comparison
Cost per million tokens (USD)
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Mistral NeMo Instruct
Input:$0.15
Output:$0.15
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Qwen3 235B A22B
Input:$0.10
Output:$0.10($0.10 cheaper)
Performance Metrics
Context window and performance specifications
Average performance across 1 common benchmarks
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Mistral NeMo Instruct
Average Score:68.0%
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Qwen3 235B A22B
Average Score:87.8%(+19.8%)
Provider Availability & Performance
Available providers and their performance metrics
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Mistral NeMo Instruct
2 providers
Throughput: 42 tok/s
Latency: 0.4ms
Mistral AI
Throughput: 0.1 tok/s
Latency: 0.5ms
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Mistral NeMo Instruct
Avg Score:68.0%
Providers:2
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Qwen3 235B A22B
Avg Score:87.8%(+19.8%)
Providers:4