Route your autonomous AI agents, Cursor IDE, and backend pipelines through our intelligent sub-35ms proxy with viral models like Claude 3.5 Sonnet, Qwen 2.5 Coder 27B, and DeepSeek V3.
Send a prompt directly to our live edge proxy and watch the real-time SSE stream.
Click "Run Inference" to send an authentic request to https://api.pixeloffice.eu/v1/chat/completions...
Stop resending 50,000 duplicate context tokens on every prompt. PixelRouter injects verified institutional facts and decisions into any model in <0.04ms with 100% multi-tenant privacy.
Design your system in Claude 3.5 Sonnet, generate SQL migrations in DeepSeek V3, and build React code in Qwen 2.5 Coder. All models seamlessly share the same project memory graph without copy-pasting.
Active facts are automatically reinforced (+0.30) upon use, while unused decisions decay smoothly (−0.05/turn down to 0.10 floor). Keeps prompts ultra-compact, saving up to 85% of input tokens.
Memory storage is 100% free with your credit top-up. Includes complete GDPR compliance with hourly automated sweeps and 1-click complete erasure via REST API.
from openai import OpenAI
client = OpenAI(
base_url="https://api.pixeloffice.eu/v1",
api_key="YOUR_PIXELROUTER_KEY"
)
# Pass session_id to enable persistent cross-model memory
response = client.chat.completions.create(
model="blun-auto", # Or "claude-3.5-sonnet", "deepseek-chat", "qwen-coder-32b"
extra_body={"session_id": "my_ecommerce_app"},
messages=[
{"role": "user", "content": "Write database schema for orders table"}
]
)
# Inspect verified memory savings
print("Active Facts:", response.headers.get("x-pixelrouter-memory-facts"))
print("Tokens Saved:", response.headers.get("x-pixelrouter-memory-tokens-saved"))Slide your estimated token consumption to compare official OpenAI bills against PixelRouter.
Switching to PixelRouter takes exactly 1 line of configuration in your favorite language or framework.
No hidden fees, no markup surprises. Pay only for what you infer.
| Model ID | Context Window | Input / 1M Tokens | Output / 1M Tokens | Edge Latency | Best For |
|---|---|---|---|---|---|
| claude-3.5-sonnet | 200,000 tokens | $3.00 | $15.00 | < 35 ms | #1 SOTA coding, full-stack architecture, complex refactoring |
| kimi-k3 | 200,000 tokens | $0.40 | $1.20 | < 35 ms | Moonshot AI #1 Asian viral coding model with ultra-long context |
| grok-3 | 128,000 tokens | $0.30 | $1.00 | < 35 ms | xAI Grok-3 unfiltered analytical reasoning & high-throughput logic |
| glm-5.3-flash | 128,000 tokens | $0.18 | $0.50 | < 25 ms | Zhipu AI flagship high-speed reasoning & enterprise agent swarm |
| sonar-reasoning-pro | 128,000 tokens | $1.00 | $3.00 | < 45 ms | Perplexity live web-search grounded reasoning without hallucinations |
| poolside-laguna | 64,000 tokens | $0.45 | $1.30 | < 35 ms | Poolside European foundation software engineering model |
| nemotron-3.5 | 128,000 tokens | $0.20 | $0.60 | < 28 ms | Nvidia Nemotron 3.5 Lightning high-throughput agent synthesis |
| deepseek/deepseek-chat | 64,000 tokens | $0.14 | $0.28 | < 35 ms | DeepSeek-V3 671B MoE, ultra-fast coding & JSON schema formatting |
| qwen-coder-32b | 128,000 tokens | $0.20 | $0.80 | < 35 ms | Alibaba Qwen 2.5 Coder #1 open-weights developer IDE model |
| google/gemini-2.5-flash | 1,000,000 tokens | $0.075 | $0.30 | < 28 ms | Ultra-low-latency micro-tasks, scrapers & 1M context |
Start testing for free or load your prepaid wallet. Unused tokens never expire.
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