xujfcn/Crazyrouter-Model-Comparison

🏆 Top AI Models Comparison — May 2026

A practical, up-to-date comparison of the best large language models available via API as of May 4, 2026. Focused on real-world performance, pricing, and use-case fit — not just benchmark scores.

Last updated: 2026-05-04 | Contributions welcome via PR

📊 Model Overview

💡 Prices are official API rates. Third-party providers often offer 20-50% discounts.

🎯 Best Model by Use Case

Coding & Development

Writing & Content

Data & Analysis

Multimodal

⚡ Speed vs Quality Tiers

Tier 1 — Maximum Quality (slower, higher cost)
├── Claude 4 Sonnet (extended thinking)
├── Gemini 2.5 Pro (thinking mode)
└── DeepSeek R1

Tier 2 — Balanced (good quality, reasonable speed)
├── Claude 3.7 Sonnet
├── GPT-4.1
└── GPT-4o

Tier 3 — Fast & Cheap (high throughput)
├── Claude 3.5 Haiku
├── Gemini 2.5 Flash
├── GPT-4.1 mini
└── DeepSeek V3

💰 Cost Efficiency Ranking

For typical workloads (mixed input/output), approximate cost per 1M total tokens:

🔧 Quick Start: Access All Models with One API

Instead of managing separate API keys for each provider, you can use an API gateway to access all models through a single OpenAI-compatible endpoint.

Example with Python (OpenAI SDK):

from openai import OpenAI

# Works with any OpenAI-compatible gateway
client = OpenAI(
    api_key="your-api-key",
    base_url="https://your-gateway.com/v1"  
)

# Switch models by just changing the model name
models = [
    "claude-sonnet-4-20250514",
    "gpt-4.1",
    "gemini-2.5-pro-preview-05-06",
    "deepseek-chat",
]

for model in models:
    response = client.chat.completions.create(
        model=model,
        messages=[{"role": "user", "content": "Explain quicksort in 3 sentences"}],
    )
    print(f"{model}: {response.choices[0].message.content[:100]}...")

Popular API gateways: Crazyrouter, OpenRouter, AIHubMix

📈 Key Trends — May 2026

1. 1.Extended thinking is mainstream — Claude 4 Sonnet, Gemini 2.5 Pro, and DeepSeek R1 all support chain-of-thought reasoning modes
2. 2.1M+ context is the new normal — GPT-4.1, Gemini 2.5, and Llama 4 all support 1M tokens
3. 3.Open-source closing the gap — Qwen3, Llama 4, and DeepSeek V3 rival proprietary models
4. 4.Prices keep dropping — Flash/mini tiers make AI accessible for high-volume production use
5. 5.Multimodal expanding — Vision, audio, and video understanding becoming standard features

📚 Methodology

This comparison is based on:

• —Official API documentation and pricing pages
• —Public benchmarks (LMSYS Chatbot Arena, LiveBench, SWE-bench)
• —Community feedback and real-world usage reports
• —Our own testing across coding, writing, and analysis tasks

We update this guide monthly. Prices and capabilities change frequently — always check the provider's official docs for the latest info.

🤝 Contributing

Found outdated info or want to add a model? PRs are welcome! Please include:

• —Source link for any pricing or capability claims
• —Date of verification

📖 Related Resources

• —LMSYS Chatbot Arena — Live model rankings by human preference
• —LiveBench — Contamination-free LLM benchmark
• —Artificial Analysis — Speed and pricing tracker

⭐ Star this repo if you find it useful — it helps others discover it!