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Fastest First-Token Qwen3.6 27B Inference Providers

Ranks providers by how quickly the first generated token appears. Providers without enough recent data remain visible after ranked rows.

Weights & Biases currently ranks first at 0.24 s via wandb/fp8.

Provider options:
9
Ranked:
9
Metric:
Time to first token

Fastest first token endpoint ranking

Fastest First-Token Qwen3.6 27B Inference Providers
RankProvider / routeTime to first tokenSpeed measurementsEndpoint details
#1Provider / route
Time to first token0.24 sSpeed measurements
500-token response
62.74 s
Response starts
0.24 s
Output speed
8.0 tok/s
Endpoint details
Input price
$0.6 / 1M tokens
Output price
$3.6 / 1M tokens
Uptime (30 min)
100.00%
Context
262.1K
#2Provider / route
DeepInfradeepinfra/fp8
Time to first token0.34 sSpeed measurements
500-token response
10.98 s
Response starts
0.34 s
Output speed
47.0 tok/s
Endpoint details
Input price
$0.32 / 1M tokens
Output price
$3.2 / 1M tokens
Uptime (30 min)
99.62%
Context
262.1K
#3Provider / route
Venicevenice/fp8
Time to first token0.46 sSpeed measurements
500-token response
7.13 s
Response starts
0.46 s
Output speed
75.0 tok/s
Endpoint details
Input price
$0.325 / 1M tokens
Output price
$3.25 / 1M tokens
Uptime (30 min)
99.76%
Context
256K
#4Provider / route
io.netio-net/fp8
Time to first token0.56 sSpeed measurements
500-token response
15.26 s
Response starts
0.56 s
Output speed
34.0 tok/s
Endpoint details
Input price
$0.2822 / 1M tokens
Output price
$2.38 / 1M tokens
Uptime (30 min)
99.94%
Context
262.1K
#5Provider / route
Phalaphala
Time to first token0.57 sSpeed measurements
500-token response
4.92 s
Response starts
0.57 s
Output speed
115.0 tok/s
Endpoint details
Input price
$0.32 / 1M tokens
Output price
$2.7 / 1M tokens
Uptime (30 min)
99.03%
Context
262.1K
#6Provider / routeTime to first token0.83 sSpeed measurements
500-token response
9.16 s
Response starts
0.83 s
Output speed
60.0 tok/s
Endpoint details
Input price
$0.45 / 1M tokens
Output price
$2.7 / 1M tokens
Uptime (30 min)
99.84%
Context
262.1K
#7Provider / route
SiliconFlowsiliconflow/fp8
Time to first token1.24 sSpeed measurements
500-token response
13.14 s
Response starts
1.24 s
Output speed
42.0 tok/s
Endpoint details
Input price
$0.3 / 1M tokens
Output price
$3.2 / 1M tokens
Uptime (30 min)
99.88%
Context
262.1K
#8Provider / route
Morphmorph
Time to first token1.30 sSpeed measurements
500-token response
15.19 s
Response starts
1.30 s
Output speed
36.0 tok/s
Endpoint details
Input price
$0.289 / 1M tokens
Output price
$2.4 / 1M tokens
Uptime (30 min)
97.32%
Context
131.1K
#9Provider / route
Chuteschutes/fp8
Time to first token1.53 sSpeed measurements
500-token response
13.73 s
Response starts
1.53 s
Output speed
41.0 tok/s
Endpoint details
Input price
$0.3 / 1M tokens
Output price
$2 / 1M tokens
Uptime (30 min)
98.40%
Context
262.1K

Endpoint data fetched .

Qwen3.6 27B endpoint guide

How to interpret the Fastest First-Token Qwen3.6 27B Inference Providers

9 of 9 Qwen3.6 27B endpoints currently have the published data required for this ranking. Weights & Biases leads at 0.24 s via wandb/fp8. The table keeps unranked routes visible so missing measurements do not look like missing provider availability.

How response-start time is ranked

The first-token ranking orders endpoints by the recent median time before output begins. This is useful for interactive applications, but it should be read alongside throughput because the first provider to start is not always the first to finish a long answer.

Compare Weights & Biases with the next option

DeepInfra currently ranks second at 0.34 s. Compare that gap with input and output price, response-start time, output speed, 30-minute uptime, context length, and the exact route before deciding whether first place is meaningful for your workload.

Use the route, not only the provider name

Qwen3.6 27B has 9 published provider options, and performance data is matched to each exact OpenRouter routing tag. Different quantization, context, regional deployment, or provider configuration can change price and behavior even when the underlying model name is identical.