OpenAI compatible API · Attested · Public status

DeepSeek: DeepSeek V3.2 vs Qwen: Qwen3 VL 8B Instruct

Compare DeepSeek: DeepSeek V3.2 and Qwen: Qwen3 VL 8B Instruct by providers, context, price, and TrustedRouter route support.

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

Qwen: Qwen3 VL 8B Instruct has the lower cheapest prompt+completion route on TrustedRouter. DeepSeek: DeepSeek V3.2 has more provider fallback routes, while Qwen: Qwen3 VL 8B Instruct has the larger context window. Current TrustedRouter probes show Qwen: Qwen3 VL 8B Instruct with the lower p50 TTFT.

$0.672/1MDeepSeek: DeepSeek V3.2 cheapest route

$0.4725/1MQwen: Qwen3 VL 8B Instruct cheapest route

1596 msDeepSeek: DeepSeek V3.2 measured p50 TTFT

1412 msQwen: Qwen3 VL 8B Instruct measured p50 TTFT

DeepSeek: DeepSeek V3.2Qwen: Qwen3 VL 8B Instruct

Model iddeepseek/deepseek-v3.2qwen/qwen3-vl-8b-instruct

PublisherDeepSeekParasail

AI IQ IQ 103#56 —

Context163,840 tokens262,144 tokens

Provider routes154

Cheapest route$0.672/1M$0.4725/1M

Privacy posturehas confidential-compute routehas ZDR route

Modes chat chat

DeepSeek: DeepSeek V3.2 routes

Overview15 endpoints
PricingPrompt and completion rates
BenchmarksTrustedRouter and external sources
ProvidersAll serving providers

Qwen: Qwen3 VL 8B Instruct routes

Overview4 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="deepseek/deepseek-v3.2",
    messages=messages,
)