OpenAI compatible API · Attested · Public status

Devstral-Small-2505 vs Qwen: Qwen3.8 27B

Devstral-Small-2505 has the larger context window. Qwen: Qwen3.8 27B has the lower published input-plus-output rate and more Credits provider routes. There is not enough recent probe data to compare speed. Compare price, speed, context, and privacy.

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

$0.422/1MDevstral-Small-2505 cheapest route

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

not enough dataDevstral-Small-2505 fastest measured p50 TTFT

581 msQwen: Qwen3.8 27B fastest measured p50 TTFT via cerebras

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.

Devstral-Small-2505Qwen: Qwen3.8 27B

Model idmistralai/devstral-small-2505qwen/qwen3.8-27b

Publisher Mistral Alibaba Cloud Model Studio

AI IQ — IQ 116#50

Context128,000 tokens65,536 tokens

Credits provider routes118

Cheapest route$0.422/1M$0.385075/1M

Cached inputNot published$0.01/1M to $0.241595/1M

Privacy postureprovider posture varieshas Confidential route (E2EE + ZDR)

Fastest measured p50 TTFTnot enough data581 ms via cerebras

Highest measured throughputnot enough datanot enough data

Recent route uptime range100.00%98.51% to 100.00%

Modes chat chat

Devstral-Small-2505 routes

Overview1 Credits routes

Qwen: Qwen3.8 27B routes

Overview18 Credits routes
PricingInput, cached input, and output rates
ProvidersAll serving providers

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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="mistralai/devstral-small-2505",
    messages=messages,
)

Questions

Which should I use, Devstral-Small-2505 or Qwen: Qwen3.8 27B?

Is Devstral-Small-2505 or Qwen: Qwen3.8 27B cheaper?

The current cheapest TrustedRouter route is $0.422/1M for Devstral-Small-2505 and $0.385075/1M for Qwen: Qwen3.8 27B. The comparison uses current catalog prices and updates as provider pricing changes.

Is Devstral-Small-2505 or Qwen: Qwen3.8 27B faster?

Current measured p50 time to first token is not enough data for Devstral-Small-2505 and 581 ms for Qwen: Qwen3.8 27B. These are routed probe measurements, not vendor-advertised speeds, and update as new samples arrive.

Can I test Devstral-Small-2505 and Qwen: Qwen3.8 27B with the same API?

Yes. Use the same OpenAI-compatible TrustedRouter base URL and API key, then change only the model id between mistralai/devstral-small-2505 and qwen/qwen3.8-27b. This makes side-by-side evals possible without maintaining two provider integrations.