OpenAI compatible API · Attested · Public status

DeepSeek: DeepSeek V4 Flash 0731 vs Google: Gemma 3 12B

Compare DeepSeek V4 Flash 0731 and Google: Gemma 3 12B across token pricing, context windows, provider availability, privacy options, route diversity, and measured performance.

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 12B has the lower cheapest prompt+completion route on TrustedRouter. DeepSeek: DeepSeek V4 Flash 0731 has more provider fallback routes, while DeepSeek: DeepSeek V4 Flash 0731 has the larger context window. Probe-backed speed data is shown when enough recent samples exist.

$0.2835/1MDeepSeek: DeepSeek V4 Flash 0731 cheapest route

$0.1575/1MGoogle: Gemma 3 12B cheapest route

1521 msDeepSeek: DeepSeek V4 Flash 0731 measured p50 TTFT

not enough dataGoogle: Gemma 3 12B measured p50 TTFT

DeepSeek: DeepSeek V4 Flash 0731Google: Gemma 3 12B

Model iddeepseek/deepseek-v4-flash-0731google/gemma-3-12b-it

Publisher DeepSeek Google AI Studio

AI IQ — —

Context1,048,576 tokens131,072 tokens

Provider routes164

Cheapest route$0.2835/1M$0.1575/1M

Privacy posturehas ZDR routeprovider posture varies

Modes chat chat

DeepSeek: DeepSeek V4 Flash 0731 routes

Overview16 endpoints
PricingPrompt and completion rates
ProvidersAll serving providers

Google: Gemma 3 12B routes

Overview4 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-0731",
    messages=messages,
)