WED, OCTOBER 07, 2026
Independent · In‑Depth · Practitioner‑Tested
Mistral Coding

Mistral Large 4 Prompts: 6 That Use the 1M Context Properly

Mistral Large 4 shipped on 6 October 2026 with a 1-million-token context window, a 1.6B-parameter vision encoder, training across 160+ languages, and output tokens at $4.18 per million -- under half what Gemini 4 Argon and GPT-6.1 Sol charge. These six prompts are built around those four facts specifically. They are not generic prompts with the model name swapped in: each one does something that is either cheaper or only possible on Large 4. Paste them as-is, replace the bracketed parts, and read the note under each on where the model is weak.

⌨️ 6 prompts 🕐 Updated Oct 6, 2026
💡 How to use these prompts: Replace everything in [BRACKETS] with your specific details before sending. Click Copy to copy any prompt to your clipboard instantly.
1
Whole-repository review in one pass
Architecture review on a codebase too large for an 8K or 200K window
You are reviewing an entire codebase in a single context window. I am pasting [NUMBER] files below, totalling roughly [NUMBER] tokens.\n\nDo not summarise file by file. Instead:\n\n1. Map the real dependency graph, including the imports that cross module boundaries in ways the folder structure hides.\n2. Name every place where the same logic is implemented twice, and say which copy is authoritative.\n3. List the five changes that would most reduce coupling, ordered by how much breakage each would cause.\n4. Flag anything that reads like it was written by a different person or a different era of the project.\n\nQuote exact file paths and line ranges. If two files contradict each other, show both and say which one the runtime actually uses.\n\n[PASTE FILES]
2
Screenshot to working specification
Turning a visual reference into something buildable
Attached is a screenshot of [WHAT IT IS -- an app screen, a dashboard, a competitor page].\n\nProduce a build specification from it, not a description of it. Cover:\n\n- Every interactive element, what it does, and what state it has\n- The layout rules that would survive a resize to phone width\n- Spacing, type scale and colour values as tokens, not one-off numbers\n- The data each region needs, and where an empty or error state is missing\n- Anything on screen that you cannot explain the purpose of\n\nWrite it so a developer who has never seen the screenshot could build it. Mark every assumption you had to make with ASSUMPTION so I can correct you.
3
Localisation that survives contact with native speakers
Shipping an interface or doc set in languages you cannot check yourself
Translate the following into [LANGUAGES]. Large 4 was trained across 160+ languages, so treat the less common ones with the same care as the common ones.\n\nRules:\n\n- Keep the register consistent with the source. If the source is blunt, do not soften it.\n- Do not translate product names, feature names or code identifiers.\n- Where a phrase has no natural equivalent, give the closest version and add a bracketed note explaining what was lost.\n- Flag anything that would read as rude, childish or machine-made to a native speaker.\n- Return a table: language, translation, confidence, notes.\n\n[PASTE SOURCE TEXT]
4
Decide whether this job needs a frontier model at all
Cutting an API bill before switching providers
I am currently sending this workload to [MODEL] at [PRICE] per million output tokens. Here is a representative sample of the inputs and the outputs I need.\n\nTell me honestly which of these three buckets each task falls into:\n\n1. Needs a frontier model. Say which capability specifically.\n2. Would work on a cheaper model with a better prompt. Write that prompt.\n3. Does not need a model at all. Say what would replace it.\n\nThen estimate the monthly cost of each bucket at [VOLUME] requests per month, and tell me what the split would save. Do not round in favour of using more model.\n\n[PASTE SAMPLES]
5
Adversarial security review
Pre-deployment review, playing to Large 4 Cybench score of 93 percent
Review the following for security problems. Assume an attacker who has read the code and has a budget.\n\nFor each finding give me:\n\n- The exact input or sequence that triggers it\n- What the attacker gets, concretely, not in categories\n- Whether it is exploitable today or requires another weakness first\n- The smallest change that closes it\n\nRank by what an attacker would actually try first, not by severity label. If a finding only matters in a configuration I have not shown you, say which configuration.\n\nDo not list things that are merely untidy. If you find nothing serious, say so.\n\n[PASTE CODE OR CONFIG]
6
Migration plan with the breakage listed first
Planning a migration without discovering the breakage mid-way
I need to migrate [SYSTEM] from [CURRENT] to [TARGET]. Full current state is pasted below.\n\nStart with what will break. Specifically:\n\n- Every behaviour that changes, including ones the documentation calls equivalent\n- Every piece of data that cannot be represented in the target\n- Every integration that assumes current behaviour\n\nThen give me the migration in stages where each stage leaves the system working. For each stage: what changes, how to verify it, and how to roll back.\n\nIf the honest answer is that this migration is not worth doing, say that and explain what it would cost to stay.\n\n[PASTE CURRENT STATE]