+
+
+
+
+
+
+
+
VS
VS
VS
VS
VS
VS
DeepSeek-V3.2-Exp vs Mistral NeMo Instruct
Comprehensive side-by-side LLM comparison
Mistral NeMo Instruct offers 26.6K more tokens in context window than DeepSeek-V3.2-Exp. Both models have similar pricing. Both models have their strengths depending on your specific coding needs.
+
+
+
+
DeepSeek
DeepSeek-V3.2-Exp was introduced as an experimental release, designed to test new architectural innovations and training methodologies. Built to explore the boundaries of mixture-of-experts design, it serves as a research preview for techniques that may be incorporated into future stable releases.
+
+
+
+
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.
1 year newer
Mistral NeMo Instruct
Mistral AI
2024-07-18
DeepSeek-V3.2-Exp
DeepSeek
2025-09-29
+
+
+
+
+
+
+
+
+
+
+
+
Pricing Comparison
Cost per million tokens (USD)
+
+
+
+
DeepSeek-V3.2-Exp
Input:$0.27
Output:$0.41
+
+
+
+
Mistral NeMo Instruct
Input:$0.15
Output:$0.15($0.38 cheaper)
Performance Metrics
Context window and performance specifications
Provider Availability & Performance
Available providers and their performance metrics
+
+
+
+
DeepSeek-V3.2-Exp
2 providers
Novita
ZeroEval
Throughput: 100 tok/s
Latency: 0.7ms
+
+
+
+
Mistral NeMo Instruct
+
+
+
+
DeepSeek-V3.2-Exp
Avg Score:0.0%
Providers:2
+
+
+
+
Mistral NeMo Instruct
Avg Score:0.0%
Providers:2