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      docs/en/Community-Articles/2026-04-17-Top-AI-Coding-Models-2026-Rankings/Post.md

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@ -17,9 +17,9 @@ We'll check the AI models against these topics:
---
## 🏆 1. GPT-5 (OpenAI) — The All-Round Beast
## 🏆 1. GPT-5.4 (OpenAI) — The All-Round Beast
Let’s not dance around it—**GPT-5 is still the most versatile coding model right now.**
Let’s not dance around it—**GPT-5.4 is still the most versatile coding model right now.**
### Why it’s #1
@ -48,9 +48,9 @@ If you want a **default “just works” coding AI**, this is it.
---
## 🥈 2. Claude 4 (Anthropic) — The Clean Code Specialist
## 🥈 2. Claude 4.7 (Anthropic) — The Clean Code Specialist
Claude 4 has built a reputation for writing code that feels like it came from a senior engineer who drinks too much coffee but cares deeply about readability.
Claude 4.7 has built a reputation for writing code that feels like it came from a senior engineer who drinks too much coffee but cares deeply about readability.
### Strengths
@ -80,9 +80,9 @@ Perfect if you care about **maintainability over raw speed**.
---
## 🥉 3. Gemini 2.5 (Google) — The Multimodal Powerhouse
## 🥉 3. Gemini 3.1 (Google) — The Multimodal Powerhouse
Gemini 2.5 is where things get interesting.
Gemini 3.1 is where things get interesting.
This isn’t just a coding model—it’s a **multi-input problem solver**.
@ -114,7 +114,7 @@ If your workflow includes **visual debugging or cloud-heavy systems**, this is i
## ⚡ 4. Mistral Code (Open Models) — The Speed King
Mistral AI’s coding models are gaining serious attraction.
Mistral AI’s coding models are gaining serious attention.
### Why devs love it
@ -141,9 +141,9 @@ Best choice for:
---
## 🧠 5. Code Llama 3 — The Open-Source Veteran
## 🧠 5. Code Llama 4 — The Open-Source Veteran
Code Llama 3 is still very relevant, especially in enterprise setups.
Code Llama 4 is still very relevant, especially in enterprise setups.
### Strengths
@ -166,11 +166,11 @@ If your company says “no cloud AI,” this is your friend.
| Model | Best For | Weakness |
| ------------ | ------------------------ | --------------------- |
| GPT-5 | Everything | Slightly slower |
| Claude 4 | Clean, maintainable code | Less aggressive fixes |
| Gemini 2.5 | Multimodal workflows | Inconsistent style |
| GPT-5.4 | Everything | Slightly slower |
| Claude 4.7 | Clean, maintainable code | Less aggressive fixes |
| Gemini 3.1 | Multimodal workflows | Inconsistent style |
| Mistral Code | Speed & local usage | Shallow reasoning |
| Code Llama 3 | Open-source flexibility | Needs tuning |
| Code Llama 4 | Open-source flexibility | Needs tuning |
Image Prompt:
A sleek table-style infographic comparing AI models with icons, performance bars, and labels like “Best for speed”, “Best for reasoning”.
@ -179,7 +179,7 @@ A sleek table-style infographic comparing AI models with icons, performance bars
## 🤔 When to Use What (Real Scenarios)
### Use GPT-5 if:
### Use GPT-5.4 if:
* You’re building a full product
* You need architecture + implementation
@ -187,7 +187,7 @@ A sleek table-style infographic comparing AI models with icons, performance bars
---
### Use Claude 4 if:
### Use Claude 4.7 if:
* You’re reviewing code
* You care about readability
@ -195,7 +195,7 @@ A sleek table-style infographic comparing AI models with icons, performance bars
---
### Use Gemini 2.5 if:
### Use Gemini 3.1 if:
* You debug using screenshots/logs
* You work with cloud infrastructure
@ -215,7 +215,7 @@ A sleek table-style infographic comparing AI models with icons, performance bars
If you're working with **ASP.NET Core and the ABP Framework**, these models can seriously boost productivity:
* GPT-5 → Generate **application services, DTOs, and modules**
* GPT-5.4 → Generate **application services, DTOs, and modules**
* Claude → Clean up **domain layer logic**
* Gemini → Help debug **UI + backend integration issues**

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