Side-by-side benchmark comparison across agentic, coding, multimodal, knowledge, reasoning, and math workflows.
Mistral Medium 3 is clearly ahead on the aggregate, 56 to 49. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
K-Exaone is the reasoning model in the pair, while Mistral Medium 3 is not. That usually helps on harder chain-of-thought-heavy tests, but it can also mean more latency and more token spend in real use. K-Exaone gives you the larger context window at 256K, compared with 128K for Mistral Medium 3.
Pick Mistral Medium 3 if you want the stronger benchmark profile. K-Exaone only becomes the better choice if coding is the priority or you need the larger 256K context window.
Benchmark data for this category is coming soon.
K-Exaone
49.4
Mistral Medium 3
30.3
Benchmark data for this category is coming soon.
Benchmark data for this category is coming soon.
Comparable scores for this category are coming soon. One or both models do not have sourced results here yet.
Comparable scores for this category are coming soon. One or both models do not have sourced results here yet.
Benchmark data for this category is coming soon.
Comparable scores for this category are coming soon. One or both models do not have sourced results here yet.
Mistral Medium 3 is ahead overall, 56 to 49.
K-Exaone has the edge for coding in this comparison, averaging 49.4 versus 30.3. Mistral Medium 3 stays close enough that the answer can still flip depending on your workload.
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