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Mistral Small 3 24B Instruct vs o4-mini
Comprehensive side-by-side LLM comparison
o4-mini leads with 36.1% higher average benchmark score. o4-mini offers 236.0K more tokens in context window than Mistral Small 3 24B Instruct. Mistral Small 3 24B Instruct is $5.29 cheaper per million tokens. o4-mini supports multimodal inputs. Overall, o4-mini is the stronger choice for coding tasks.
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Mistral AI
Mistral Small 24B Instruct was created as the instruction-tuned version of the 24B base model, designed to follow user instructions reliably. Built to serve general-purpose applications requiring moderate capability, it balances performance with deployment practicality.
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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.
2 months newer
Mistral Small 3 24B Instruct
Mistral AI
2025-01-30
o4-mini
OpenAI
2025-04-16
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Pricing Comparison
Cost per million tokens (USD)
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Mistral Small 3 24B Instruct
Input:$0.07
Output:$0.14($5.29 cheaper)
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o4-mini
Input:$1.10
Output:$4.40
Performance Metrics
Context window and performance specifications
Average performance across 1 common benchmarks
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Mistral Small 3 24B Instruct
Average Score:45.3%
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o4-mini
Average Score:81.4%(+36.1%)
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Knowledge Cutoff
Training data recency comparison
Mistral Small 3 24B Instruct
2023-10-01
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 Small 3 24B Instruct
2 providers
DeepInfra
Throughput: 49 tok/s
Latency: 0.2ms
Mistral AI
Throughput: 134 tok/s
Latency: 0.2ms
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Mistral Small 3 24B Instruct
Avg Score:45.3%
Providers:2
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o4-mini
Avg Score:81.4%(+36.1%)
Providers:1