OpenAI compatible API. Attested gateway. Public status.

Google: Gemma 3 27B vs Mistral: Mistral Small 3.2 24B

Compare Google: Gemma 3 27B and Mistral: Mistral Small 3.2 24B by providers, context, price, and TrustedRouter route support.

Verify gateway

1 URLbase_url migration

100smodels and routes

0prompt 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

Google: Gemma 3 27B has the lower cheapest prompt+completion route on TrustedRouter. Google: Gemma 3 27B has more provider fallback routes, while Google: Gemma 3 27B has the larger context window. Current TrustedRouter probes show Mistral: Mistral Small 3.2 24B with the lower p50 TTFT.

$0.264/1MGoogle: Gemma 3 27B cheapest route

$0.429/1MMistral: Mistral Small 3.2 24B cheapest route

4761 msGoogle: Gemma 3 27B measured p50 TTFT

2712 msMistral: Mistral Small 3.2 24B measured p50 TTFT

Google: Gemma 3 27BMistral: Mistral Small 3.2 24B

Model idgoogle/gemma-3-27b-itmistralai/mistral-small-3.2-24b-instruct

PublisherGeminiMistral

AI IQ — —

Context262,144 tokens131,072 tokens

Provider routes114

Cheapest route$0.264/1M$0.429/1M

Privacy posturehas provider E2EE routehas ZDR route

Modes chat chat

Google: Gemma 3 27B routes

Overview11 endpoints
PricingPrompt and completion rates
BenchmarksTrustedRouter and external sources
ProvidersAll serving providers

Mistral: Mistral Small 3.2 24B routes

Overview4 endpoints
PricingPrompt and completion rates
BenchmarksTrustedRouter and external sources
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="google/gemma-3-27b-it",
    messages=messages,
)