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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. Meta: Llama 4 Maverick has the lower measured p50 time to first token.

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

$1.1816/1MMeta: Llama 4 Maverick cheapest route

2774 msGoogle: Gemma 3 27B fastest measured p50 TTFT via nextbit-eu

1469 msMeta: Llama 4 Maverick fastest measured p50 TTFT via digitalocean

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 routes63

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 TTFT2774 ms via nextbit-eu1469 ms via digitalocean

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

Meta: Llama 4 Maverick routes

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

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Google: Gemma 3 27B vs MoonshotAI: Kimi K334 combined provider routes
DeepSeek: DeepSeek V4 Flash 0731 vs Google: Gemma 3 27B32 combined provider routes
Meta: Llama 4 Maverick vs MoonshotAI: Kimi K331 combined provider routes
DeepSeek: DeepSeek V4.1 Flash vs Google: Gemma 3 27B30 combined provider routes
Google: Gemma 3 27B vs OpenAI: gpt-oss-120b30 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 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. Meta: Llama 4 Maverick has the lower measured p50 time to first token.

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 2774 ms for Google: Gemma 3 27B and 1469 ms 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.