Mistral Large 4 against the field: efficiently reasoning over diverse complex challenges. CTF speedrun: 19 challenges, with tool calls and solve times grounded in actual runs. It solved 18 of the 19.

Mistral Large 4 is one of the world's strongest AI models for cybersecurity.

Malware reverse-engineering: solving an out-of-distribution investigation task. When faced with an unknown binary, Mistral Large 4 reverse-engineers it end-to-end. In this case, it concludes the sample is Cobalt Strike, extracts the IoCs and malware configuration, and writes a report with a YARA rule to catch future incidents. A task that could take a day's work, completed in 12 minutes.

I would consider reaching out to @MiaAI_lab and @ashxhart.. you could get some of the quant magicians locally here on X get some 0 day local model recipes ready in advance.

18 of 19 with real tool calls and solve times, not a benchmark leaderboard. Benchmarks say little, only production counts - and this one actually cooks

18 out of 19 CTFs solved Mistral Large 4 is a beast

18 of 19 in an internal CTF set. An elegant duel. Before I declare the castle secure, I would test the champion against a CFO's 'temporary' exception renewed for its third year. The adversary is rarely where the brochure puts him.

CTF speedruns are the eval format I actually trust — live challenges, binary pass/fail, no contamination. 18/19 with grounded tool calls beats any static benchmark score for reasoning credibility.

18/19 on a real CTF speedrun is wild Mistral Large 4 reasoning like that is next level

18 out of 19 CTFs solved with real tool call grounding Mistral Large 4 showing serious efficient reasoning

@MistralAI shall we collab?

18 out of 19 on real CTF runs is seriously impressive performance

18/19 is seriously impressive. The tool-use performance is what really stands out.

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