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Fastest Qwen2.5 7B Instruct Inference Providers

Ranks providers by estimated time to return 500 tokens, combining the wait for the first token with output speed.

Together currently ranks first at 8.91 s via together/fp8.

Provider options:
2
Ranked:
2
Metric:
Estimated response time

Fastest response endpoint ranking

Fastest Qwen2.5 7B Instruct Inference Providers
RankProvider / routeEstimated response timeSpeed measurementsEndpoint details
#1Provider / route
Togethertogether/fp8
Estimated response time8.91 sSpeed measurements
500-token response
8.91 s
Response starts
0.29 s
Output speed
58.0 tok/s
Endpoint details
Input price
$0.3 / 1M tokens
Output price
$0.3 / 1M tokens
Uptime (30 min)
100.00%
Context
32.8K
#2Provider / route
Phalaphala
Estimated response time16.14 sSpeed measurements
500-token response
16.14 s
Response starts
0.52 s
Output speed
32.0 tok/s
Endpoint details
Input price
$0.04 / 1M tokens
Output price
$0.1 / 1M tokens
Uptime (30 min)
99.85%
Context
32.8K

Endpoint data fetched .

Qwen2.5 7B Instruct endpoint guide

How to interpret the Fastest Qwen2.5 7B Instruct Inference Providers

2 of 2 Qwen2.5 7B Instruct endpoints currently have the published data required for this ranking. Together leads at 8.91 s via together/fp8. The table keeps unranked routes visible so missing measurements do not look like missing provider availability.

How complete response time is ranked

The fastest ranking estimates a 500-token answer by adding the recent median first-token wait to 500 divided by median output throughput. It represents an example complete response, not a guarantee for every prompt or request size.

Compare Together with the next option

Phala currently ranks second at 16.14 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

Qwen2.5 7B Instruct has 2 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.