OpenAI compatible API · Attested · Public status

DeepSeek: DeepSeek V4 Flash vs Mistral: Mistral Nemo

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

$0.2835/1MDeepSeek: DeepSeek V4 Flash cheapest route

$0.128415/1MMistral: Mistral Nemo cheapest route

3496 msDeepSeek: DeepSeek V4 Flash measured p50 TTFT

3169 msMistral: Mistral Nemo measured p50 TTFT

DeepSeek: DeepSeek V4 FlashMistral: Mistral Nemo

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

PublisherDeepSeekMistral

AI IQ IQ 108#46 —

Context1,048,576 tokens131,072 tokens

Provider routes196

Cheapest route$0.2835/1M$0.128415/1M

Privacy posturehas ZDR routehas confidential-compute route

Modes chat chat

DeepSeek: DeepSeek V4 Flash routes

Overview19 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-v4-flash",
    messages=messages,
)