OpenAI compatible API · Attested · Public status

OpenAI: GPT-5 Nano vs Qwen: Qwen3 32B

GPT-5 Nano vs Qwen: Qwen3 32B: 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

GPT-5 Nano has the larger context window. Qwen: Qwen3 32B has the lower published input-plus-output rate and more Credits provider routes. There is not enough recent probe data to compare speed.

$0.47475/1MOpenAI: GPT-5 Nano cheapest route

$0.34815/1MQwen: Qwen3 32B cheapest route

not enough dataOpenAI: GPT-5 Nano fastest measured p50 TTFT

3509 msQwen: Qwen3 32B fastest measured p50 TTFT via nscale

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.

OpenAI: GPT-5 NanoQwen: Qwen3 32B

Model idopenai/gpt-5-nanoqwen/qwen3-32b

Publisher OpenAI DeepInfra

AI IQ IQ 93#112 —

Context400,000 tokens40,960 tokens

Credits provider routes23

Cheapest route$0.47475/1M$0.34815/1M

Cached input$0.01/1M$0.010972/1M to $0.01688/1M

Privacy posturehas ZDR routehas provider E2EE route

Fastest measured p50 TTFTnot enough data3509 ms via nscale

Highest measured throughputnot enough datanot enough data

Recent route uptime rangenot enough data100.00%

Modes chat chat

OpenAI: GPT-5 Nano routes

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

Qwen: Qwen3 32B routes

Overview3 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="openai/gpt-5-nano",
    messages=messages,
)

Questions

Which should I use, OpenAI: GPT-5 Nano or Qwen: Qwen3 32B?

GPT-5 Nano has the larger context window. Qwen: Qwen3 32B has the lower published input-plus-output rate and more Credits provider routes. There is not enough recent probe data to compare speed.

Is OpenAI: GPT-5 Nano or Qwen: Qwen3 32B cheaper?

The current cheapest TrustedRouter route is $0.47475/1M for OpenAI: GPT-5 Nano and $0.34815/1M for Qwen: Qwen3 32B. The comparison uses current catalog prices and updates as provider pricing changes.

Is OpenAI: GPT-5 Nano or Qwen: Qwen3 32B faster?

Current measured p50 time to first token is not enough data for OpenAI: GPT-5 Nano and 3509 ms for Qwen: Qwen3 32B. These are routed probe measurements, not vendor-advertised speeds, and update as new samples arrive.

Can I test OpenAI: GPT-5 Nano and Qwen: Qwen3 32B with the same API?

Yes. Use the same OpenAI-compatible TrustedRouter base URL and API key, then change only the model id between openai/gpt-5-nano and qwen/qwen3-32b. This makes side-by-side evals possible without maintaining two provider integrations.