# Flonno

> An optimized, additionally quantized Qwen derivative served through Flonno's OpenAI-compatible API for text, image understanding, coding and tool workflows.

Facts reviewed: 2026-10-17. These are published contract details, not a live health or speed measurement.

## Available API model

- Name: Qwen3.8 Flash 27B
- Model ID: qwen3.8-27b
- Base URL: https://www.flonno.com/v1
- Input: USD 0.03 / 1,000,000 tokens
- Output: USD 0.25 / 1,000,000 tokens, including billed reasoning
- Billing: prepaid; token estimates exclude taxes, retries and other workflow costs
- Context: 131072 tokens shared by input and output
- Maximum requested output: 32768 tokens
- Default output budget: 4096 tokens
- Capabilities: text output, inline image understanding, streaming, tool calls, JSON mode
- Research-library inclusion does not mean API availability.

## Documentation

- [Service status and capacity](https://www.flonno.com/status)
- [Reproducible agent API evaluation](https://www.flonno.com/research/agent-api-evaluation)
- [Model, pricing and FAQ](https://www.flonno.com/models/qwen3-8-flash-27b)
- [API reference](https://www.flonno.com/docs)
- [Agent quickstart](https://www.flonno.com/developers/agents)
- [OpenAPI specification](https://www.flonno.com/integrations/openapi.json)
- [Provider model feed](https://www.flonno.com/integrations/openrouter/models)
- [Integrations and SDK examples](https://www.flonno.com/integrations)
- [OpenAI migration guide](https://www.flonno.com/migrate)
- [Cost calculator](https://www.flonno.com/tools/api-cost-calculator)
- [German Qwen API guide](https://www.flonno.com/de/qwen-api)
- [Privacy and processing](https://www.flonno.com/privacy)
- [Terms](https://www.flonno.com/terms)
- [Structured model facts](https://www.flonno.com/models/qwen3-8-flash-27b.json)
- [Full text reference](https://www.flonno.com/llms-full.txt)

## Deployment identity

- Base checkpoint: Qwen/Qwen3.8-27B @ 1d4bf0f2ff6012fd82039f2fa52739d0dd7c60c0
- Artifact: WarlaxZ/Qwen3.8-27B-NInfer-3090 @ d47f2732d369acaec76dc44228f67c72b081df2f
- SHA-256: 7f2a0086a071ee932c66106e1552d118a85cfec8ddef13c67a54cd64abb39706
- Weight encoding: NInfer container v3; mixed Q4/Q5/Q6 weight encoding
- Quantization: Importance-matrix calibrated grouped_search quantization; 4-bit embedding, 6-bit output head, and selected 4-bit attention/GDN output and MLP-down projections in layers 36–63. Other tensor formats vary. This is not uniform W4A16.
- Runtime: NInfer 0.15.1-rtx3090; DFlash2 with proposal head; rk4v4 KV cache; vision overlay
- License: Apache-2.0; [source model card](https://huggingface.co/WarlaxZ/Qwen3.8-27B-NInfer-3090/blob/d47f2732d369acaec76dc44228f67c72b081df2f/README.md)
- Mixed tensor formats are not a uniform W4A16 claim. Upstream benchmark results are not Flonno API results.

## Processing and limitations

Qwen3.8 Flash 27B runs on our own GPU system in Switzerland. API requests go from the Flonno gateway to Flonno's inference runtime; they are not sent to another AI API provider for model inference. The current deployment uses an RTX 3090 and has no automatic external-provider fallback. Hosting infrastructure remains part of the processing chain; authentication and payments use separate service providers described in the privacy notice.

Evaluate output quality on your own tasks. This optimized derivative is not unchanged original Qwen weights. No universal task coverage, quality score, throughput guarantee or automatic recommendation by any search assistant is claimed. See the privacy notice for retention and legal details.