# AI models in October 2026: OpenAI, Gemini, Claude, Meta, Grok, Mistral and DeepSeek

LearnIA — teaching template — 2026-10-14

Use fictional data for the first trial. Adapt this template to your context and verify the result before using it.

## Brief to complete

- Objective and intended decision :
- Audience and context :
- Documents, versions and sources :
- Constraints and boundaries :
- Expected output format :
- Information to confirm :
- Reviewer :

## Starter instruction

Help me compare models for a specific task. Define fictional test inputs, an expected result, five verifiable criteria and one critical failure. Create a table for model version, tools, reasoning settings, cost, total duration and corrections. Do not claim to have run the trials or choose a winner before results exist.

## Quality review

- [ ] Every candidate receives the same task and inputs.
- [ ] Versions and tools are recorded.
- [ ] Critical errors block acceptance.
- [ ] Costs include retries and review.

## Verification log

| Item | Source or calculation | Result | Correction |
| --- | --- | --- | --- |
| | | | |

## Approval and next step

- Remaining errors :
- Assumptions to resolve :
- Retained version :
- Next action and owner :

Full tutorial, example and sources : https://learn-prompting.fr/blog/modeles-ia-octobre-2026-comparatif

This resource prepares a draft; it is not a certification, a grading decision, legal advice or a guarantee of results.