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Mistral NeMo Instruct vs o4-mini
Comprehensive side-by-side LLM comparison
o4-mini offers 44.0K more tokens in context window than Mistral NeMo Instruct. Mistral NeMo Instruct is $5.20 cheaper per million tokens. o4-mini supports multimodal inputs. Both models have their strengths depending on your specific coding needs.
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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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OpenAI
o4-mini was created as part of the next generation of OpenAI's reasoning models, designed to continue advancing the balance between analytical capability and operational efficiency. Built to bring cutting-edge reasoning techniques to applications requiring quick turnaround, it represents the evolution of compact reasoning-focused models.
9 months newer
Mistral NeMo Instruct
Mistral AI
2024-07-18
o4-mini
OpenAI
2025-04-16
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Pricing Comparison
Cost per million tokens (USD)
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Mistral NeMo Instruct
Input:$0.15
Output:$0.15($5.20 cheaper)
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o4-mini
Input:$1.10
Output:$4.40
Performance Metrics
Context window and performance specifications
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Knowledge Cutoff
Training data recency comparison
o4-mini
2024-05-31
More recent knowledge cutoff means awareness of newer technologies and frameworks
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:0.0%
Providers:2
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o4-mini
Avg Score:0.0%
Providers:1