OpenAI compatible API · Attested · Public status

DeepSeek: DeepSeek V4 Flash 0423 vs Google: Gemma 3 27B

Compare DeepSeek: DeepSeek V4 Flash 0423 and Google: Gemma 3 27B 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

Google: Gemma 3 27B has the lower cheapest prompt+completion route on TrustedRouter. DeepSeek: DeepSeek V4 Flash 0423 has more provider fallback routes, while DeepSeek: DeepSeek V4 Flash 0423 has the larger context window. Current TrustedRouter probes show Google: Gemma 3 27B with the lower p50 TTFT.

$0.2835/1MDeepSeek: DeepSeek V4 Flash 0423 cheapest route

$0.252/1MGoogle: Gemma 3 27B cheapest route

1169 msDeepSeek: DeepSeek V4 Flash 0423 measured p50 TTFT

1132 msGoogle: Gemma 3 27B measured p50 TTFT

DeepSeek: DeepSeek V4 Flash 0423Google: Gemma 3 27B

Model iddeepseek/deepseek-v4-flashgoogle/gemma-3-27b-it

Publisher

DeepSeek

Google AI Studio

AI IQ IQ 108#46 —

Context1,048,576 tokens262,144 tokens

Provider routes228

Cheapest route$0.2835/1M$0.252/1M

Privacy posturehas ZDR routehas ZDR route

Modes chat chat

DeepSeek: DeepSeek V4 Flash 0423 routes

Overview22 endpoints
PricingPrompt and completion rates
BenchmarksTrustedRouter and external sources
ProvidersAll serving providers

Google: Gemma 3 27B routes

Overview8 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-flash",
    messages=messages,
)