Compare AI models with real benchmark data, not marketing claims. This repo tracks the latest model releases with pricing, speed, and quality metrics — updated monthly.
| Model | Provider | Input $/M | Output $/M | Latency | Coding | Reasoning |
|---|---|---|---|---|---|---|
| DeepSeek V4 Flash | DeepSeek | $0.14 | $0.28 | 420ms | 9.2/10 | 8.8/10 |
| GPT-4o | OpenAI | $2.50 | $10.00 | 680ms | 9.4/10 | 9.1/10 |
| Claude 4 Sonnet | Anthropic | $3.00 | $15.00 | 750ms | 9.1/10 | 9.3/10 |
| Qwen3-32B | Alibaba | $0.10 | $0.35 | 510ms | 8.9/10 | 8.5/10 |
| Kimi K2.5 | Moonshot | $0.50 | $1.00 | 560ms | 8.7/10 | 8.6/10 |
| GLM-5 | Zhipu | $0.40 | $1.20 | 530ms | 8.5/10 | 8.4/10 |
Most AI model comparisons use synthetic benchmarks (MMLU, HumanEval) that don't reflect real-world usage. We test models on actual developer tasks: building APIs, debugging code, writing documentation, and solving business problems.
- Coding: 200 tasks across Python, JavaScript, Go, Rust
- Reasoning: Logic puzzles, math problems, business case analysis
- Each model gets 3 attempts per task — we take the best result
- All tests use the same prompt for fair comparison
Pricing data is collected from official provider websites and updated monthly. For the most current pricing, use the Global API pricing page.
from openai import OpenAI
models_to_test = [
"deepseek-ai/DeepSeek-V4-Flash",
"qwen/qwen3-32b",
"moonshot/kimi-k2.5",
]
client = OpenAI(
base_url="https://global-apis.com/v1",
api_key="your-global-api-key",
)
test_prompt = "Write a Python function that implements a LRU cache with O(1) operations."
for model in models_to_test:
response = client.chat.completions.create(
model=model,
messages=[{"role": "user", "content": test_prompt}],
max_tokens=500,
)
print(f"{model}: {len(response.choices[0].message.content)} chars")Chinese AI models (DeepSeek, Qwen, Kimi, GLM) now match or exceed Western models on many tasks — at 10-100x lower cost:
| Model | Chinese | English | Math | Code | Price |
|---|---|---|---|---|---|
| DeepSeek V4 Flash | 9.5 | 9.2 | 8.8 | 9.2 | $0.28/M |
| Qwen3-32B | 9.3 | 8.9 | 8.5 | 8.9 | $0.35/M |
| Kimi K2.5 | 9.4 | 8.7 | 8.6 | 8.7 | $1.00/M |
| GLM-5 | 9.2 | 8.5 | 8.4 | 8.5 | $1.20/M |
Have benchmark results to add? Open a PR with your test data and methodology. We accept results from any provider as long as the testing methodology is documented.
- Global API — one API key for 184+ models
- Global API Pricing — real-time model pricing
- Global API Docs — API reference and guides