Models/Qwen/Qwen3.8-27B

Qwen3.8 27B

ActiveUnknown
Qwen/Qwen3.8-27B·Qwen · Apache 2.0 · updated 2026-08-14
General purposeMultilingualLow cost
Sign in to try in the Playground
Overview

27B dense under Apache 2.0. The easy one to self-host later.

Use cases: General purpose · Multilingual · Low cost
Context262,144
Max output16,384
QuantizationBF16
Capabilities
ToolsParallel toolsStructured outputStreamReasoningCacheBatchVision
GridPort billing priceUSD / 1M tokens
UnitStandardBatch
Input tokens$0.50$0.250
Output tokens$3.00$1.500
Live metricslast hour

Last hour of customer requests; each metric needs at least 20 valid samples.Samples this hour: 0 for TTFT, 0 for throughput · as of 2026-10-07 00:35 EDT

TTFT p50—
Throughput p50—
Success rate—
Routes1 · single route
import os
from openai import OpenAI

client = OpenAI(
    base_url="https://gridport.ai/v1",
    api_key=os.environ["GRIDPORT_API_KEY"],
)
stream = client.chat.completions.create(
    model="Qwen/Qwen3.8-27B",  # pin a version: "Qwen/Qwen3.8-27B@2026-08-14"
    messages=[{"role": "user", "content": "Hello"}],
    stream=True,
)
for chunk in stream:
    if chunk.choices and chunk.choices[0].delta.content:
        print(chunk.choices[0].delta.content, end="", flush=True)
print()
Known limits
01Prompt cache belongs to a route: a failover to the backup route starts with a cold cache.02Rate limits apply per organization, project and key, and per model where one is set; the strictest applies.03Streaming responses carry usage in the final chunk only when stream_options.include_usage is set.
Versions
VersionStatusReleasedRetires
2026-08-14defaultActive2026-08-14—