OpenAI compatible API · Attested · Public status

DeepSeek: DeepSeek V3.2 vs Mistral: Mistral Nemo

Compare DeepSeek: DeepSeek V3.2 and Mistral: Mistral Nemo 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

Mistral: Mistral Nemo has the lower cheapest prompt+completion route on TrustedRouter. DeepSeek: DeepSeek V3.2 has more provider fallback routes, while DeepSeek: DeepSeek V3.2 has the larger context window. Current TrustedRouter probes show Mistral: Mistral Nemo with the lower p50 TTFT.

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

$0.128415/1MMistral: Mistral Nemo cheapest route

1596 msDeepSeek: DeepSeek V3.2 measured p50 TTFT

1427 msMistral: Mistral Nemo measured p50 TTFT

DeepSeek: DeepSeek V3.2Mistral: Mistral Nemo

Model iddeepseek/deepseek-v3.2mistralai/mistral-nemo

PublisherDeepSeekMistral

AI IQ IQ 103#56 —

Context163,840 tokens131,072 tokens

Provider routes156

Cheapest route$0.672/1M$0.128415/1M

Privacy posturehas confidential-compute routehas confidential-compute route

Modes chat chat

DeepSeek: DeepSeek V3.2 routes

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

Mistral: Mistral Nemo routes

Overview6 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,
)