OpenAI compatible API · Attested · Public status

Qwen: Qwen3.8 27B vs StepFun: Step 3.7 Flash

Qwen: Qwen3.8 27B vs StepFun: Step 3.7 Flash: compare current API pricing, context, provider routes, privacy, p50 latency, and OpenAI-compatible access.

Verify gateway

Onebase URL to migrate

100sof models and routes

0prompt or output logs. Always.

Compare routesProviders, price, context, and policy posture in one view.

Use auto when uptime mattersKeep a primary model and let fallback handle provider failures.

Same API shapeUse the OpenAI client and set the model you want.

Practical read

Monthly evidence

Qwen: Qwen3.8 27B has the lower published input-plus-output rate, more Credits provider routes and the lower measured p50 time to first token. Their context windows are the same size.

$0.385075/1MQwen: Qwen3.8 27B cheapest route

$1.42425/1MStepFun: Step 3.7 Flash cheapest route

799 msQwen: Qwen3.8 27B fastest measured p50 TTFT via wafer

2454 msStepFun: Step 3.7 Flash fastest measured p50 TTFT via stepfun

The price comparison adds each route's rate for one million input tokens and one million output tokens; your cost depends on your input/output mix. Prices and live route measurements can change. Use the monthly reports when you need a stable evidence window, then run a small task-specific eval before choosing a production default.

Qwen: Qwen3.8 27BStepFun: Step 3.7 Flash

Model idqwen/qwen3.8-27bstepfun/step-3.7-flash

Publisher DeepInfra Novita AI

AI IQ IQ 110#59 IQ 101#86

Context262,144 tokens262,144 tokens

Credits provider routes142

Cheapest route$0.385075/1M$1.42425/1M

Cached input$0.015825/1M to $0.16669/1M$0.0422/1M

Privacy posturehas ZDR routeprovider posture varies

Fastest measured p50 TTFT799 ms via wafer2454 ms via stepfun

Highest measured throughputnot enough datanot enough data

Recent route uptime range100.00%100.00%

Modes chat chat

Qwen: Qwen3.8 27B routes

Overview14 Credits routes
PricingInput, cached input, and output rates
ProvidersAll serving providers

StepFun: Step 3.7 Flash routes

Overview2 Credits routes
PricingInput, cached input, and output rates
ProvidersAll serving providers

Related comparisons

Browse every comparison

Qwen: Qwen3.8 27B vs Z.ai: GLM 5.242 combined provider routes
Qwen: Qwen3.8 27B vs Z.ai: GLM 5.340 combined provider routes
Qwen: Qwen3.8 27B vs Z.ai: GLM 5.3 Flash39 combined provider routes
DeepSeek: DeepSeek V4 Flash 0731 vs Qwen: Qwen3.8 27B38 combined provider routes
MoonshotAI: Kimi K3 vs Qwen: Qwen3.8 27B38 combined provider routes
OpenAI: gpt-oss-120b vs Qwen: Qwen3.8 27B36 combined provider routes
MoonshotAI: Kimi K2.6 vs Qwen: Qwen3.8 27B33 combined provider routes
DeepSeek: DeepSeek V4 Pro 0423 vs Qwen: Qwen3.8 27B31 combined provider routes

Production choice

Pick a default model. Keep fallback enabled.

TrustedRouter is useful when you know the model you want, but still need provider rollover, budget limits, usage records, and a prompt path you can verify.

OpenAI clientPython

client = OpenAI(
    base_url="https://api.trustedrouter.com/v1",
    api_key="sk-tr-v1-..."
)

response = client.chat.completions.create(
    model="qwen/qwen3.8-27b",
    messages=messages,
)

Questions

Which should I use, Qwen: Qwen3.8 27B or StepFun: Step 3.7 Flash?

Qwen: Qwen3.8 27B has the lower published input-plus-output rate, more Credits provider routes and the lower measured p50 time to first token. Their context windows are the same size.

Is Qwen: Qwen3.8 27B or StepFun: Step 3.7 Flash cheaper?

The current cheapest TrustedRouter route is $0.385075/1M for Qwen: Qwen3.8 27B and $1.42425/1M for StepFun: Step 3.7 Flash. The comparison uses current catalog prices and updates as provider pricing changes.

Is Qwen: Qwen3.8 27B or StepFun: Step 3.7 Flash faster?

Current measured p50 time to first token is 799 ms for Qwen: Qwen3.8 27B and 2454 ms for StepFun: Step 3.7 Flash. These are routed probe measurements, not vendor-advertised speeds, and update as new samples arrive.

Can I test Qwen: Qwen3.8 27B and StepFun: Step 3.7 Flash with the same API?

Yes. Use the same OpenAI-compatible TrustedRouter base URL and API key, then change only the model id between qwen/qwen3.8-27b and stepfun/step-3.7-flash. This makes side-by-side evals possible without maintaining two provider integrations.