OpenAI compatible API · Attested · Public status

DeepSeek: DeepSeek V4 Pro vs Mistral: Mistral Nemo

Compare DeepSeek: DeepSeek V4 Pro 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 V4 Pro has more provider fallback routes, while DeepSeek: DeepSeek V4 Pro has the larger context window. Current TrustedRouter probes show Mistral: Mistral Nemo with the lower p50 TTFT.

$1.37025/1MDeepSeek: DeepSeek V4 Pro cheapest route

$0.128415/1MMistral: Mistral Nemo cheapest route

1318 msDeepSeek: DeepSeek V4 Pro measured p50 TTFT

928 msMistral: Mistral Nemo measured p50 TTFT

DeepSeek: DeepSeek V4 ProMistral: Mistral Nemo

Model iddeepseek/deepseek-v4-promistralai/mistral-nemo

Publisher

DeepSeek

Mistral

AI IQ IQ 115#30 —

Context1,048,576 tokens131,072 tokens

Provider routes246

Cheapest route$1.37025/1M$0.128415/1M

Privacy posturehas ZDR routehas confidential-compute route

Modes chat chat

DeepSeek: DeepSeek V4 Pro routes

Overview24 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-azure.trustedrouter.com/v1",
    api_key="sk-tr-v1-..."
)

response = client.chat.completions.create(
    model="deepseek/deepseek-v4-pro",
    messages=messages,
)