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DeepSeek: R1 0528 vs Google: Gemma 3 27B

Try both on us. Starter credit covers your first requests, then one key routes R1 0528 and Gemma 3 27B. Switch by changing the model name.

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

Monthly evidence

R1 0528 has the larger context window. Google: Gemma 3 27B has the lower published input-plus-output rate and more Credits provider routes. There is not enough recent probe data to compare speed.

$2.79575/1MDeepSeek: R1 0528 cheapest route

$0.2532/1MGoogle: Gemma 3 27B cheapest route

not enough dataDeepSeek: R1 0528 fastest measured p50 TTFT

not enough dataGoogle: Gemma 3 27B fastest measured p50 TTFT

The price comparison adds each route's rate for one million input tokens and one million output tokens; your cost depends on your input/output mix. Prices and live route measurements can change. Use the monthly reports when you need a stable evidence window, then run a small task-specific eval before choosing a production default.

DeepSeek: R1 0528Google: Gemma 3 27B

Model iddeepseek/deepseek-r1-0528google/gemma-3-27b-it

Publisher DeepSeek Google AI Studio

AI IQ — —

Context163,840 tokens131,072 tokens

Credits provider routes35

Cheapest route$2.79575/1M$0.2532/1M

Cached input$0.276235/1M to $0.36925/1M$0.0422/1M

Privacy postureprovider posture varieshas ZDR route

Fastest measured p50 TTFTnot enough datanot enough data

Highest measured throughputnot enough datanot enough data

Recent route uptime rangenot enough datanot enough data

Modes chat chat

DeepSeek: R1 0528 routes

Overview3 Credits routes
PricingInput, cached input, and output rates
ProvidersAll serving providers

Google: Gemma 3 27B routes

Overview5 Credits routes
PricingInput, cached input, and output rates
ProvidersAll serving providers

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DeepSeek: R1 0528 vs Z.ai: GLM 5.235 combined provider routes
DeepSeek: R1 0528 vs Z.ai: GLM 5.3 Flash35 combined provider routes
Google: Gemma 3 27B vs MoonshotAI: Kimi K333 combined provider routes
DeepSeek: R1 0528 vs MoonshotAI: Kimi K331 combined provider routes

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-r1-0528",
    messages=messages,
)

Questions

Which should I use, DeepSeek: R1 0528 or Google: Gemma 3 27B?

R1 0528 has the larger context window. Google: Gemma 3 27B has the lower published input-plus-output rate and more Credits provider routes. There is not enough recent probe data to compare speed.

Is DeepSeek: R1 0528 or Google: Gemma 3 27B cheaper?

The current cheapest TrustedRouter route is $2.79575/1M for DeepSeek: R1 0528 and $0.2532/1M for Google: Gemma 3 27B. The comparison uses current catalog prices and updates as provider pricing changes.

Is DeepSeek: R1 0528 or Google: Gemma 3 27B faster?

Current measured p50 time to first token is not enough data for DeepSeek: R1 0528 and not enough data for Google: Gemma 3 27B. These are routed probe measurements, not vendor-advertised speeds, and update as new samples arrive.

Can I test DeepSeek: R1 0528 and Google: Gemma 3 27B with the same API?

Yes. Use the same OpenAI-compatible TrustedRouter base URL and API key, then change only the model id between deepseek/deepseek-r1-0528 and google/gemma-3-27b-it. This makes side-by-side evals possible without maintaining two provider integrations.