Side-by-side benchmark comparison across agentic, coding, multimodal, knowledge, reasoning, and math workflows.
BenchLM does not have sourced benchmark coverage for Mistral Small 4 (Reasoning) and o1-pro yet. This comparison is currently limited to metadata such as context window, reasoning mode, and pricing where available.
o1-pro is priced at $150.00 input / $600.00 output per 1M tokens, versus $0.00 input / $0.00 output per 1M tokens for Mistral Small 4 (Reasoning). Mistral Small 4 (Reasoning) has the larger context window at 256K, compared with 200K for o1-pro.
Benchmark data for Mistral Small 4 (Reasoning) and o1-pro is coming soon on BenchLM.
Benchmark data for this category is coming soon.
Benchmark data for this category is coming soon.
Benchmark data for this category is coming soon.
Benchmark data for this category is coming soon.
Mistral Small 4 (Reasoning)
71.2
o1-pro
79
Benchmark data for this category is coming soon.
Benchmark data for this category is coming soon.
Mistral Small 4 (Reasoning)
83.8
o1-pro
86
Not fully yet. BenchLM is tracking both models, but the sourced benchmark breakdown for this comparison is still coming soon.
BenchLM only shows category winners and benchmark-level calls when we have sourced results that can be compared fairly. For these models, the public benchmark coverage is not complete enough yet.
Mistral Small 4 (Reasoning): $0.00 input / $0.00 output per 1M tokens o1-pro: $150.00 input / $600.00 output per 1M tokens Both model pages still include creator, context window, reasoning mode, and other metadata while benchmark coverage fills in.
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