Unlimited AI Access. One Flat Price.

smart_toy OpenClaw Friendly
public Swiss-Hosted
Qwen3.6
Gemma Gemma-4
auto_awesome OpenAI Compatible

Stop counting tokens. Just build.

Access unlimited Qwen3.6 and Gemma-4 for a flat CHF 39/mo.
Full privacy — no prompt logging, no training on your data, just reliable low-latency AI access.

Perfect for vibe coding sessions and 24/7 agents — no token counting (fair-use).

🚀 NOW LIVE — Instant access available

Start using AI Router in seconds.

Instant API key • Cancel anytime

savings Flat rate — no token counting
schedule 24/7 agents — continuous workloads
speed Low latency — Swiss-hosted
shield Privacy — no prompt logging

Flat Rate Pricing

CHF 39/mo

No hidden fees. No token counting.

Context length

262K

Perfect for Agentic Workflows.

Compatibility

100%

Drop-in replacement for OpenAI.

Developer Friendly.
Built for production workloads.

Integration takes minutes, not days. We maintain full compatibility with the OpenAI SDK, so you can switch your base URL and API key to start saving immediately.

terminal

OpenAI Compatible

Drop-in replacement for your existing client. Just change the base URL.

bolt

High Throughput

Dedicated capacity ensures consistent latency and tokens per second.

library_books

262K Context

Massive context window for RAG and document processing.

Drop-in replacement. Same SDK. Same calls. No migration.

{
"models": {
"providers": {
"airouter": {
"baseUrl": "https://api.airouter.ch/v1",
"apiKey": "${AIROUTER_API_KEY}",
"api": "openai-completions",
"models": [
{
"id": "Qwen3.6",
"name": "Qwen3.6 (airouter.ch)",
"contextWindow": 262144,
"maxTokens": 65536,
"reasoning": true,
"input": ["text", "image"],
"cost": { "input": 0, "output": 0 },
"compat": {
"supportsUsageInStreaming": true
}
}
},
{
"id": "Gemma-4",
"name": "Gemma-4 (airouter.ch)",
"contextWindow": 262144,
"maxTokens": 65536,
"reasoning": true,
"input": ["text", "image"],
"cost": { "input": 0, "output": 0 },
"compat": {
"supportsUsageInStreaming": true
}
}
}
]
}
}
},
"agents": {
"defaults": {
"model": {
"primary": "airouter/Qwen3.6",
"fallbacks": ["airouter/Gemma-4"]
}
}
}
}

Why AI Router Switzerland

AI Router Switzerland is designed for developers and AI enthusiasts who want to focus on building, testing, and running AI workflows without worrying about token limits or overages. Our "unlimited" API means you can:

  • Run long coding sessions or 24/7 agents without interruptions.
  • Integrate AI into local tools, IDEs, or autonomous agents seamlessly.
  • Enjoy Swiss-hosted privacy — no prompt logging, no training on your data. Only light metadata analysis is performed to ensure consistent performance for everyone.

Combined with generous operational limits (3 parallel requests, 240 requests/min, 10M tokens/min), low-latency infrastructure, and OpenAI-compatible APIs, AI Router provides a reliable and worry-free environment for experimentation, development, and production-grade agent workflows.

Unlimited Access Full Privacy Developer-Friendly Low latency

Available Models

Powerful AI models ready for production workloads.

Qwen3.6
Context length 262K tokens
Parameters 27B (dense)
Quantization Weights FP8
Quantization KV Cache FP8
Architecture Hybrid (DeltaNet + Attention)
Reasoning
Tool calling
Image input
Created by Alibaba
Release April 21, 2026
Code RAG Agents Reasoning Tool calling Vision 119 Languages

Best for

Agentic coding, repository-level reasoning, RAG, document analysis

Strengths

Agentic orchestration, repo-level coding, long-context workflows, production-ready stability

AIME 2026

Mathematical problem solving

94.1%

GPQA

Graduate-level scientific reasoning

87.8%

Humanity’s Last Exam

Multi-disciplinary research evaluation

24.0%

LiveCodeBench v6

Real-world coding benchmark

83.9%

MMLU-Pro

General knowledge & reasoning

86.2%

MMMU-Pro

Multimodal understanding & reasoning

75.8%

Our flagship model. Qwen3.6-27B brings a unique hybrid architecture combining Gated DeltaNet memory with traditional attention, giving it superior agentic coding and repository-level reasoning. With thinking preservation across conversation turns and support for 119 languages, it's built for developers who need stability and real-world utility.

Gemma Gemma-4
Context length 262K tokens
Parameters 31B (dense)
Quantization Weights FP8
Quantization KV Cache FP8
Architecture Dense (Hybrid Sliding Window)
Reasoning
Tool calling
Image input
Created by Google
Release April 2, 2026
Code RAG Agents Reasoning Tool calling Vision 140+ Languages

Best for

Reasoning, mathematical problem-solving, multilingual tasks, document OCR

Strengths

Math & scientific reasoning, multilingual translation, code generation, structured output

AIME 2026

Mathematical problem solving

89.2%

GPQA

Graduate-level scientific reasoning

84.3%

Humanity’s Last Exam

Multi-disciplinary research evaluation

26.5%

LiveCodeBench v6

Real-world coding benchmark

80.0%

MMLU-Pro

General knowledge & reasoning

85.2%

MMMU-Pro

Multimodal understanding & reasoning

76.9%

Gemma-4-31B from Google delivers frontier-level reasoning and coding in a dense architecture with hybrid sliding window attention. With native support for 140+ languages, configurable thinking modes, and top-tier benchmark scores, it's an excellent choice for multilingual and reasoning-heavy workloads.

Embedding Model

Qwen3-Embedding
Context length 32K tokens
Parameters 4B (dense)
Quantization Weights Q6_K
Quantization KV Cache Q8_0
Architecture Decoder-Only Transformer
Embedding Dimension 2560
Supported Languages 100+
Created by Alibaba
Release 2025
RAG Semantic Search Embeddings Multilingual

Best for

Agent memory indexing, RAG pipelines

Strengths

Semantic search, code retrieval, knowledge base indexing

State-of-the-art text embedding model designed for retrieval, ranking, and similarity tasks. With 2560-dimensional vectors, 32K context length, and support for 100+ languages including programming languages, it excels at text retrieval, code retrieval, classification, and clustering.

What's Included

Unlimited API requests
Swiss-hosted infrastructure
Qwen3.6 + Gemma-4 models
OpenAI-compatible API
Low latency
OpenClaw friendly

Frequently Asked Questions

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