OpenAI compatible API · Attested · Public status

Google: Gemini 3.1 Pro Preview vs Mistral: Mistral Nemo

Compare Google: Gemini 3.1 Pro Preview 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. Google: Gemini 3.1 Pro Preview has more provider fallback routes, while Google: Gemini 3.1 Pro Preview has the larger context window. Probe-backed speed data is shown when enough recent samples exist.

$14.7/1MGoogle: Gemini 3.1 Pro Preview cheapest route

$0.128415/1MMistral: Mistral Nemo cheapest route

not enough dataGoogle: Gemini 3.1 Pro Preview measured p50 TTFT

not enough dataMistral: Mistral Nemo measured p50 TTFT

Google: Gemini 3.1 Pro PreviewMistral: Mistral Nemo

Model idgoogle/gemini-3.1-pro-previewmistralai/mistral-nemo

PublisherGoogle AI StudioMistral

AI IQ IQ 127#9 —

Context1,048,576 tokens131,072 tokens

Provider routes76

Cheapest route$14.7/1M$0.128415/1M

Privacy posturehas ZDR routehas confidential-compute route

Modes chat chat

Google: Gemini 3.1 Pro Preview routes

Overview7 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://gchircrcif.eu-west-3.awsapprunner.com/v1",
    api_key="sk-tr-v1-..."
)

response = client.chat.completions.create(
    model="google/gemini-3.1-pro-preview",
    messages=messages,
)