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Google: Gemma 3 27B vs OpenAI: GPT-5.6 Luna

Try both on us. Starter credit covers your first requests, then one key routes Gemma 3 27B and GPT-5.6 Luna. 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

Google: Gemma 3 27B has the lower published input-plus-output rate and more Credits provider routes. GPT-5.6 Luna has the larger context window. There is not enough recent probe data to compare speed.

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

$1.477/1MOpenAI: GPT-5.6 Luna cheapest route

3000 msGoogle: Gemma 3 27B fastest measured p50 TTFT via parasail

not enough dataOpenAI: GPT-5.6 Luna 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.

Google: Gemma 3 27BOpenAI: GPT-5.6 Luna

Model idgoogle/gemma-3-27b-itopenai/gpt-5.6-luna

Publisher Google AI Studio OpenAI

AI IQ — IQ 124#29

Context131,072 tokens1,050,000 tokens

Credits provider routes63

Cheapest route$0.2532/1M$1.477/1M

Cached input$0.0422/1M$0.0211/1M

Privacy posturehas ZDR routehas ZDR route

Fastest measured p50 TTFT3000 ms via parasailnot enough data

Highest measured throughputnot enough datanot enough data

Recent route uptime range100.00%100.00%

Modes chat chat

Google: Gemma 3 27B routes

Overview6 Credits routes
PricingInput, cached input, and output rates
ProvidersAll serving providers

OpenAI: GPT-5.6 Luna routes

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

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OpenAI: GPT-5.6 Luna vs Z.ai: GLM 5.336 combined provider routes
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DeepSeek: DeepSeek V4 Flash 0731 vs Google: Gemma 3 27B32 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.trustedrouter.com/v1",
    api_key="sk-tr-v1-..."
)

response = client.chat.completions.create(
    model="google/gemma-3-27b-it",
    messages=messages,
)

Questions

Which should I use, Google: Gemma 3 27B or OpenAI: GPT-5.6 Luna?

Is Google: Gemma 3 27B or OpenAI: GPT-5.6 Luna cheaper?

The current cheapest TrustedRouter route is $0.2532/1M for Google: Gemma 3 27B and $1.477/1M for OpenAI: GPT-5.6 Luna. The comparison uses current catalog prices and updates as provider pricing changes.

Is Google: Gemma 3 27B or OpenAI: GPT-5.6 Luna faster?

Current measured p50 time to first token is 3000 ms for Google: Gemma 3 27B and not enough data for OpenAI: GPT-5.6 Luna. These are routed probe measurements, not vendor-advertised speeds, and update as new samples arrive.

Can I test Google: Gemma 3 27B and OpenAI: GPT-5.6 Luna with the same API?

Yes. Use the same OpenAI-compatible TrustedRouter base URL and API key, then change only the model id between google/gemma-3-27b-it and openai/gpt-5.6-luna. This makes side-by-side evals possible without maintaining two provider integrations.