# Do coding agents recommend Mistral web search? > Mistral web search was chosen in 2% of 499 judged AI search sessions, ranking tenth. Measured with Claude Code, Codex, Cursor, Grok Build CLI and Muse Code. Source: https://armature.tech/library/do-coding-agents-recommend-mistral-web-search Published: 2026-09-23 Publisher: Armature, Inc. (https://armature.tech) --- > Mistral web search was chosen in 2% of 499 judged AI search sessions, ranking tenth. It was also raised as a candidate in 9 further sessions without being chosen. This page reports what happened when Claude Code, Codex, Cursor, Grok Build CLI and Muse Code had to solve a problem in AI search inside a realistic codebase. Not what a chat assistant says about Mistral web search. What an agent actually installed. One thing to read first: every one of those wins came from a **single codebase**. That is a result about one repository rather than about AI search in general, and the splits below cannot separate the two. Treat them as a description of that repository. ## The numbers | | | | --- | --- | | Category | AI search | | Sessions in the category | 499 | | Sessions where Mistral web search was chosen | 12 | | Install share | 2% | | Rank in category | 10 of 41 | | Codebases it won in | 1 | | Raised as a candidate, not chosen | 9 | | Chosen when considered | 57% | | Site | mistral.ai | ## By agent With 12 wins spread across 5 agents, the rates below are small numbers and a difference between them is not yet a finding. They are here because the direction is worth knowing, not because the gap is established. | Agent | Sessions | Chose Mistral web search | Share | | --- | --- | --- | --- | | Claude Code | 140 | 5 | 4% | | Codex | 144 | 5 | 3% | | Cursor | 136 | 1 | 1% | | Grok Build CLI | 35 | 1 | 3% | | Muse Code | 44 | 0 | 0% | ## By who was asking Mistral web search performs similarly across the four kinds of buyer, from 0% to 4%. That is unusual: the category leader changed with the persona in 23 of the 29 categories we measured. | Who is asking | Sessions | Chose Mistral web search | Share | | --- | --- | --- | --- | | Vibe coder | 82 | 0 | 0% | | Junior developer | 173 | 7 | 4% | | Senior engineer | 124 | 0 | 0% | | Enterprise team | 120 | 5 | 4% | ## What Mistral web search was up against The full ranking in AI search, from the same sessions: | # | Product | Runs won | Share | | --- | --- | --- | --- | | 1 | Anthropic web search | 84 | 17% | | 2 | Brave Search API | 69 | 14% | | 3 | Exa | 67 | 13% | | 4 | Tavily | 42 | 8% | | 5 | OpenAI web search | 27 | 5% | | 6 | Built in-house (no product adopted) | 24 | 5% | | 7 | Firecrawl | 23 | 5% | | 8 | NewsAPI.ai | 23 | 5% | ## What this means Agents almost never raise Mistral web search without choosing it: 9 sessions raised against 12 chosen. When it gets considered, it usually wins. The constraint is how rarely it gets considered at all, which is a presence problem: templates, framework integrations and pages that answer the configuration and production questions agents actually search for. ## Where these numbers come from The 499 sessions in AI search are part of a published set of 11,878, run with real coding agents inside realistic codebases and judged blind. The full method is on one page: [how we measured this](/library/how-we-measured-this). Every AI search run can be replayed on [the board](/leaderboards/ai-search). If you work on Mistral web search: the judge recorded a reason for every session where it was raised and passed over. Those reasons are in the transcripts. ## Common questions ### Do coding agents recommend Mistral web search? Yes. Mistral web search was chosen in 12 of the 499 judged sessions in AI search, a 2% install share, ranking tenth in its category. ### Does Claude Code recommend Mistral web search? In 5 of the 140 sessions in AI search run with Claude Code, which is 4%. ### Do different coding agents treat Mistral web search differently? Not much. Claude Code, Codex, Cursor, Grok Build CLI and Muse Code chose it at similar rates, between 0% and 4% of their runs. ### How was this measured? Real coding agents at pinned versions were run in sandboxes inside 91 realistic codebases and asked to solve real tasks. A simulated project owner approved or questioned each recommendation before any code was written, and a judge from a model family that builds none of the agents read every session blind. ### How often is Mistral web search considered but not chosen? It was raised as a candidate in 9 sessions without being chosen, and chosen in 12. That is a 57% conversion from considered to chosen. ## Read next - [How to get picked for AI search by coding agents](https://armature.tech/library/ai-search-coding-agents-playbook) (Markdown: https://armature.tech/library/ai-search-coding-agents-playbook.md) - [Do coding agents recommend Anthropic web search?](https://armature.tech/library/do-coding-agents-recommend-anthropic-web-search) (Markdown: https://armature.tech/library/do-coding-agents-recommend-anthropic-web-search.md) - [Do coding agents recommend Brave Search API?](https://armature.tech/library/do-coding-agents-recommend-brave-search-api) (Markdown: https://armature.tech/library/do-coding-agents-recommend-brave-search-api.md) - [Do Claude Code, Codex and Cursor pick the same tools?](https://armature.tech/library/do-claude-code-and-codex-agree) (Markdown: https://armature.tech/library/do-claude-code-and-codex-agree.md) --- Armature helps software products get discovered and used by coding agents. 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