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docs: update references to GPT-5 in documentation

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README.md
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@ -208,7 +208,7 @@ ___
## Try It Now
Try the Claude Sonnet powered PR-Agent instantly on _your public GitHub repository_. Just mention `@CodiumAI-Agent` and add the desired command in any PR comment. The agent will generate a response based on your command.
Try the GPT-5 powered PR-Agent instantly on _your public GitHub repository_. Just mention `@CodiumAI-Agent` and add the desired command in any PR comment. The agent will generate a response based on your command.
For example, add a comment to any pull request with the following text:
```

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docs/docs/chrome-extension/index.md
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@ -2,7 +2,7 @@
With a single-click installation you will gain access to a context-aware chat on your pull requests code, a toolbar extension with multiple AI feedbacks, Qodo Merge filters, and additional abilities.
The extension is powered by top code models like Claude 3.7 Sonnet and o4-mini. All the extension's features are free to use on public repositories.
The extension is powered by top code models like GPT-5. All the extension's features are free to use on public repositories.
For private repositories, you will need to install [Qodo Merge](https://github.com/apps/qodo-merge-pro){:target="_blank"} in addition to the extension.
For a demonstration of how to install Qodo Merge and use it with the Chrome extension, please refer to the tutorial video at the provided [link](https://codium.ai/images/pr_agent/private_repos.mp4){:target="_blank"}.

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docs/docs/faq/index.md
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@ -26,7 +26,7 @@ ___
#### Answer:<span style="display:none;">2</span>
- Modern AI models, like Claude Sonnet and GPT-4, are improving rapidly but remain imperfect. Users should critically evaluate all suggestions rather than accepting them automatically.
- Modern AI models, like Claude Sonnet and GPT-5, are improving rapidly but remain imperfect. Users should critically evaluate all suggestions rather than accepting them automatically.
- AI errors are rare, but possible. A main value from reviewing the code suggestions lies in their high probability of catching **mistakes or bugs made by the PR author**. We believe it's worth spending 30-60 seconds reviewing suggestions, even if some aren't relevant, as this practice can enhance code quality and prevent bugs in production.

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docs/docs/overview/pr_agent_pro.md
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@ -24,7 +24,7 @@ Here are some of the additional features and capabilities that Qodo Merge offers
| Feature | Description |
| -------------------------------------------------------------------------------------------------------------------- |--------------------------------------------------------------------------------------------------------------------------------------------------------|
| [**Model selection**](https://qodo-merge-docs.qodo.ai/usage-guide/PR_agent_pro_models/) | Choose the model that best fits your needs, among top models like `Claude Sonnet`, `o4-mini` |
| [**Model selection**](https://qodo-merge-docs.qodo.ai/usage-guide/PR_agent_pro_models/) | Choose the model that best fits your needs |
| [**Global and wiki configuration**](https://qodo-merge-docs.qodo.ai/usage-guide/configuration_options/) | Control configurations for many repositories from a single location; <br>Edit configuration of a single repo without committing code |
| [**Apply suggestions**](https://qodo-merge-docs.qodo.ai/tools/improve/#overview) | Generate committable code from the relevant suggestions interactively by clicking on a checkbox |
| [**Suggestions impact**](https://qodo-merge-docs.qodo.ai/tools/improve/#assessing-impact) | Automatically mark suggestions that were implemented by the user (either directly in GitHub, or indirectly in the IDE) to enable tracking of the impact of the suggestions |

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docs/docs/usage-guide/changing_a_model.md
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@ -107,7 +107,7 @@ Please note that the `custom_model_max_tokens` setting should be configured in a
!!! note "Local models vs commercial models"
Qodo Merge is compatible with almost any AI model, but analyzing complex code repositories and pull requests requires a model specifically optimized for code analysis.
Commercial models such as GPT-4, Claude Sonnet, and Gemini have demonstrated robust capabilities in generating structured output for code analysis tasks with large input. In contrast, most open-source models currently available (as of January 2025) face challenges with these complex tasks.
Commercial models such as GPT-5, Claude Sonnet, and Gemini have demonstrated robust capabilities in generating structured output for code analysis tasks with large input. In contrast, most open-source models currently available (as of January 2025) face challenges with these complex tasks.
Based on our testing, local open-source models are suitable for experimentation and learning purposes (mainly for the `ask` command), but they are not suitable for production-level code analysis tasks.

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docs/docs/usage-guide/qodo_merge_models.md
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@ -1,5 +1,5 @@
The default models used by Qodo Merge (June 2025) are a combination of Claude Sonnet 4 and Gemini 2.5 Pro.
The default models used by Qodo Merge (June 2025) are a combination of GPT-5 and Gemini 2.5 Pro.
### Selecting a Specific Model
@ -19,11 +19,11 @@ To restrict Qodo Merge to using only `o4-mini`, add this setting:
model="o4-mini"
```
To restrict Qodo Merge to using only `GPT-4.1`, add this setting:
To restrict Qodo Merge to using only `GPT-5`, add this setting:
```toml
[config]
model="gpt-4.1"
model="gpt-5"
```
To restrict Qodo Merge to using only `gemini-2.5-pro`, add this setting:
@ -33,10 +33,9 @@ To restrict Qodo Merge to using only `gemini-2.5-pro`, add this setting:
model="gemini-2.5-pro"
```
To restrict Qodo Merge to using only `deepseek-r1` us-hosted, add this setting:
To restrict Qodo Merge to using only `claude-4-sonnet`, add this setting:
```toml
[config]
model="deepseek/r1"
model="claude-4-sonnet"
```