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Mistral: Mistral Small 3 vs Qwen: Qwen3.8 27B

Try both on us. Starter credit covers your first requests, then one key routes Mistral Small 3 and Qwen3.8 27B. Switch by changing the model name.

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

Mistral Small 3 has the lower published input-plus-output rate. Qwen: Qwen3.8 27B has more Credits provider routes and the larger context window. There is not enough recent probe data to compare speed.

$0.13715/1MMistral: Mistral Small 3 cheapest route

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

not enough dataMistral: Mistral Small 3 fastest measured p50 TTFT

956 msQwen: Qwen3.8 27B fastest measured p50 TTFT via engy

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.

Mistral: Mistral Small 3Qwen: Qwen3.8 27B

Model idmistralai/mistral-small-24b-instruct-2501qwen/qwen3.8-27b

Publisher Mistral Alibaba Cloud Model Studio

AI IQ — IQ 115#57

Context32,768 tokens65,536 tokens

Credits provider routes122

Cheapest route$0.13715/1M$0.385075/1M

Cached inputNot published$0.01/1M to $0.231045/1M

Privacy postureprovider posture varieshas Confidential route (E2EE + ZDR)

Fastest measured p50 TTFTnot enough data956 ms via engy

Highest measured throughputnot enough datanot enough data

Recent route uptime rangenot enough data100.00%

Modes chat chat

Mistral: Mistral Small 3 routes

Overview1 Credits routes

Qwen: Qwen3.8 27B routes

Overview22 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/mistral-small-24b-instruct-2501",
    messages=messages,
)

Questions

Which should I use, Mistral: Mistral Small 3 or Qwen: Qwen3.8 27B?

Is Mistral: Mistral Small 3 or Qwen: Qwen3.8 27B cheaper?

The current cheapest TrustedRouter route is $0.13715/1M for Mistral: Mistral Small 3 and $0.385075/1M for Qwen: Qwen3.8 27B. The comparison uses current catalog prices and updates as provider pricing changes.

Is Mistral: Mistral Small 3 or Qwen: Qwen3.8 27B faster?

Current measured p50 time to first token is not enough data for Mistral: Mistral Small 3 and 956 ms for Qwen: Qwen3.8 27B. These are routed probe measurements, not vendor-advertised speeds, and update as new samples arrive.

Can I test Mistral: Mistral Small 3 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/mistral-small-24b-instruct-2501 and qwen/qwen3.8-27b. This makes side-by-side evals possible without maintaining two provider integrations.