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 authentic requests directly to our sub-35ms gateway and test agent web extraction.
Click "Run Inference" to send an authentic request to https://api.pixeloffice.eu/v1/chat/completions...
curl -X POST https://api.pixeloffice.eu/v1/reader \
-H "Content-Type: application/json" \
-d '{"url":"https://example.com"}'
Enter a target URL and click "Extract Clean Markdown" to inspect the sanitized output and Fact Anchors...
Eliminate the 4 biggest friction points preventing autonomous agents from running in production.
When an upstream model provider returns HTTP 429 rate limit or 5xx outage at handshake, PixelRouter transparently re-routes to Gemini 2.5 Flash within 15ms. Your 50-step agent loop never aborts.
Eliminates the silent killer of agent workflows: malformed JSON arguments during failover. Sub-0.5ms V8 validator parses tool arguments, strips markdown fences, and auto-retries corrupted outputs so Pydantic and Zod never crash.
Protects your budget from runaway agent loops. Canonicalizes JSON tool arguments across key permutations and halts execution if 3 consecutive identical tool calls are detected, preventing wasted spend.
Feed real-time clean web data to your agents in token-saving Markdown. Strips scripts, styles, and cookie banners, prepending Top 1KB Fact Anchors so your model grasps the page in 200 tokens instead of 50,000.
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.
openai/gpt-6-astra:flex ($5.00 / $25.00) to cut costs by 50% while monitoring surcharge thresholds transparently via X-PixelRouter-Context-Surcharge.
| Model ID | Context Window | Input / 1M Tokens | Output / 1M Tokens | Edge Latency | Best For |
|---|---|---|---|---|---|
| openai/gpt-6-astra Computer-Use | 1,050,000 tokens (2x >272k on retail) | $10.00 ($1.00 cache read) | $50.00 | < 45 ms | OpenAI #1 Autonomous computer-use, browser navigation, UI clicks & tool calling (Paid Tier) |
| openai/gpt-6-astra:flex -50% Discount | 1,050,000 tokens | $5.00 ($0.50 cache read) | $25.00 | < 45 ms | Astra Flex: Exact same 1.05M context & computer-use at 50% wholesale discount (Paid Tier) |
| claude-fable-5.1 Ultra-Frontier | 1,000,000 tokens | $10.00 | $50.00 | < 40 ms | Anthropic #1 SOTA multi-day autonomous agent foundation model (Paid Tier) |
| deepseek-v4-pro Paid Tier | 1,000,000 tokens | $0.66 | $1.98 | < 35 ms | 1.6T parameter sparse MoE deep reasoning & system architecture |
| deepseek-v4-flash Free Trial | 1,000,000 tokens | $0.22 | $0.66 | < 25 ms | 284B MoE sub-25ms ultra-fast coding ($0.007 cache hit) & agent swarm |
| 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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