OpenAI compatible API · Attested · Public status

DeepSeek: DeepSeek V3.2 vs Qwen: Qwen3.5-122B-A10B

Compare DeepSeek: DeepSeek V3.2 and Qwen: Qwen3.5-122B-A10B by providers, context, price, and TrustedRouter route support.

Verify gateway

Onebase URL to migrate

100sof models and routes

Noneprompt logs by default

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

DeepSeek: DeepSeek V3.2 has the lower cheapest prompt+completion route on TrustedRouter. DeepSeek: DeepSeek V3.2 has more provider fallback routes, while Qwen: Qwen3.5-122B-A10B has the larger context window. Current TrustedRouter probes show Qwen: Qwen3.5-122B-A10B with the lower p50 TTFT.

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

$2.457/1MQwen: Qwen3.5-122B-A10B cheapest route

2419 msDeepSeek: DeepSeek V3.2 measured p50 TTFT

2274 msQwen: Qwen3.5-122B-A10B measured p50 TTFT

DeepSeek: DeepSeek V3.2Qwen: Qwen3.5-122B-A10B

Model iddeepseek/deepseek-v3.2qwen/qwen3.5-122b-a10b

PublisherDeepSeekDeepInfra

AI IQ IQ 104#54 —

Context163,840 tokens262,144 tokens

Provider routes158

Cheapest route$0.672/1M$2.457/1M

Privacy posturehas confidential-compute routeprovider posture varies

Modes chat chat

DeepSeek: DeepSeek V3.2 routes

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

Qwen: Qwen3.5-122B-A10B routes

Overview8 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,
)