OpenAI compatible API · Attested · Public status

OpenAI: GPT-5 Nano vs Qwen: Qwen3 VL 235B A22B Instruct

Compare GPT-5 Nano and Qwen: Qwen3 VL 235B A22B Instruct across token pricing, context windows, provider availability, privacy options, route diversity, and measured performance.

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

OpenAI: GPT-5 Nano has the lower cheapest prompt+completion route on TrustedRouter. Qwen: Qwen3 VL 235B A22B Instruct has more provider fallback routes, while OpenAI: GPT-5 Nano has the larger context window. Current TrustedRouter probes show Qwen: Qwen3 VL 235B A22B Instruct with the lower p50 TTFT.

$0.4725/1MOpenAI: GPT-5 Nano cheapest route

$1.134/1MQwen: Qwen3 VL 235B A22B Instruct cheapest route

3517 msOpenAI: GPT-5 Nano measured p50 TTFT

1572 msQwen: Qwen3 VL 235B A22B Instruct measured p50 TTFT

OpenAI: GPT-5 NanoQwen: Qwen3 VL 235B A22B Instruct

Model idopenai/gpt-5-nanoqwen/qwen3-vl-235b-a22b-instruct

Publisher OpenAI DeepInfra

AI IQ IQ 96#82 —

Context400,000 tokens262,144 tokens

Provider routes47

Cheapest route$0.4725/1M$1.134/1M

Privacy posturehas ZDR routehas ZDR route

Modes chat chat

OpenAI: GPT-5 Nano routes

Overview4 endpoints
PricingPrompt and completion rates
ProvidersAll serving providers

Qwen: Qwen3 VL 235B A22B Instruct routes

Overview7 endpoints
PricingPrompt and completion rates
ProvidersAll serving providers

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,
)