Free to start

Google: Gemma 3 12B vs OpenAI: GPT-5.6 Luna

Try both on us. Starter credit covers your first requests, then one key routes Gemma 3 12B 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 12B has the lower published input-plus-output rate, more Credits provider routes and the lower measured p50 time to first token. GPT-5.6 Luna has the larger context window.

$0.15825/1MGoogle: Gemma 3 12B cheapest route

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

1152 msGoogle: Gemma 3 12B fastest measured p50 TTFT via amazon-bedrock

1774 msOpenAI: GPT-5.6 Luna fastest measured p50 TTFT via boundless

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 12BOpenAI: GPT-5.6 Luna

Model idgoogle/gemma-3-12b-itopenai/gpt-5.6-luna

Publisher Google AI Studio OpenAI

AI IQ — IQ 124#31

Context131,072 tokens1,050,000 tokens

Credits provider routes63

Cheapest route$0.15825/1M$1.477/1M

Cached input$0.05275/1M$0.0211/1M

Privacy posturehas ZDR routeprovider posture varies

Fastest measured p50 TTFT1152 ms via amazon-bedrock1774 ms via boundless

Highest measured throughput107 tok/s via nextbit-eunot enough data

Recent route uptime range100.00%100.00%

Modes chat chat

Google: Gemma 3 12B 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

Related comparisons

Browse every comparison

Google: Gemma 3 12B vs Z.ai: GLM 5.339 combined provider routes
Google: Gemma 3 12B vs Z.ai: GLM 5.238 combined provider routes
Google: Gemma 3 12B vs Z.ai: GLM 5.3 Flash38 combined provider routes
OpenAI: GPT-5.6 Luna vs Z.ai: GLM 5.336 combined provider routes
OpenAI: GPT-5.6 Luna vs Z.ai: GLM 5.235 combined provider routes
OpenAI: GPT-5.6 Luna vs Z.ai: GLM 5.3 Flash35 combined provider routes
Google: Gemma 3 12B vs MoonshotAI: Kimi K334 combined provider routes
DeepSeek: DeepSeek V4 Flash 0731 vs Google: Gemma 3 12B32 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-3-12b-it",
    messages=messages,
)

Questions

Which should I use, Google: Gemma 3 12B or OpenAI: GPT-5.6 Luna?

Google: Gemma 3 12B has the lower published input-plus-output rate, more Credits provider routes and the lower measured p50 time to first token. GPT-5.6 Luna has the larger context window.

Is Google: Gemma 3 12B or OpenAI: GPT-5.6 Luna cheaper?

The current cheapest TrustedRouter route is $0.15825/1M for Google: Gemma 3 12B 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 12B or OpenAI: GPT-5.6 Luna faster?

Current measured p50 time to first token is 1152 ms for Google: Gemma 3 12B and 1774 ms 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 12B 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-3-12b-it and openai/gpt-5.6-luna. This makes side-by-side evals possible without maintaining two provider integrations.