Free to start

Google: Gemma 3 27B vs Meta: Llama 4 Maverick

Try both on us. Starter credit covers your first requests, then one key routes Gemma 3 27B and Llama 4 Maverick. 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, more Credits provider routes and the larger context window. There is not enough recent probe data to compare speed.

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

$1.1816/1MMeta: Llama 4 Maverick cheapest route

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

not enough dataMeta: Llama 4 Maverick 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 27BMeta: Llama 4 Maverick

Model idgoogle/gemma-3-27b-itmeta-llama/llama-4-maverick

Publisher Google AI Studio Meta

AI IQ — IQ 87#160

Context131,072 tokens128,000 tokens

Credits provider routes53

Cheapest route$0.2532/1M$1.1816/1M

Cached input$0.0422/1M$0.05275/1M to $0.17935/1M

Privacy posturehas ZDR routehas 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

Google: Gemma 3 27B routes

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

Meta: Llama 4 Maverick routes

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

Related comparisons

Browse every comparison

Google: Gemma 3 27B vs Z.ai: GLM 5.338 combined provider routes
Google: Gemma 3 27B vs Z.ai: GLM 5.237 combined provider routes
Google: Gemma 3 27B vs Z.ai: GLM 5.3 Flash37 combined provider routes
Meta: Llama 4 Maverick vs Z.ai: GLM 5.336 combined provider routes
Meta: Llama 4 Maverick vs Z.ai: GLM 5.235 combined provider routes
Meta: Llama 4 Maverick vs Z.ai: GLM 5.3 Flash35 combined provider routes
Google: Gemma 3 27B vs MoonshotAI: Kimi K333 combined provider routes
DeepSeek: DeepSeek V4 Flash 0731 vs Google: Gemma 3 27B31 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="google/gemma-3-27b-it",
    messages=messages,
)

Questions

Which should I use, Google: Gemma 3 27B or Meta: Llama 4 Maverick?

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

Is Google: Gemma 3 27B or Meta: Llama 4 Maverick cheaper?

The current cheapest TrustedRouter route is $0.2532/1M for Google: Gemma 3 27B and $1.1816/1M for Meta: Llama 4 Maverick. The comparison uses current catalog prices and updates as provider pricing changes.

Is Google: Gemma 3 27B or Meta: Llama 4 Maverick faster?

Current measured p50 time to first token is not enough data for Google: Gemma 3 27B and not enough data for Meta: Llama 4 Maverick. These are routed probe measurements, not vendor-advertised speeds, and update as new samples arrive.

Can I test Google: Gemma 3 27B and Meta: Llama 4 Maverick 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 meta-llama/llama-4-maverick. This makes side-by-side evals possible without maintaining two provider integrations.