OpenAI compatible API · Attested · Public status

DeepSeek: DeepSeek V3.2 vs Google: Gemma 4 31B

Compare DeepSeek: DeepSeek V3.2 and Google: Gemma 4 31B 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 4 31B has the lower cheapest prompt+completion route on TrustedRouter. Google: Gemma 4 31B has more provider fallback routes, while Google: Gemma 4 31B has the larger context window. Probe-backed speed data is shown when enough recent samples exist.

$0.672/1MDeepSeek: DeepSeek V3.2 cheapest route

$0.5355/1MGoogle: Gemma 4 31B cheapest route

not enough dataDeepSeek: DeepSeek V3.2 measured p50 TTFT

not enough dataGoogle: Gemma 4 31B measured p50 TTFT

DeepSeek: DeepSeek V3.2Google: Gemma 4 31B

Model iddeepseek/deepseek-v3.2google/gemma-4-31b-it

PublisherDeepSeekGoogle AI Studio

AI IQ IQ 103#56 IQ 101#65

Context163,840 tokens262,144 tokens

Provider routes1523

Cheapest route$0.672/1M$0.5355/1M

Privacy posturehas confidential-compute routehas provider E2EE route

Modes chat chat

DeepSeek: DeepSeek V3.2 routes

Overview15 endpoints
PricingPrompt and completion rates
BenchmarksTrustedRouter and external sources
ProvidersAll serving providers

Google: Gemma 4 31B routes

Overview23 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="deepseek/deepseek-v3.2",
    messages=messages,
)