OpenAI compatible API · Attested · Public status

Google: Gemini 3.6 Flash vs Meta: Llama 4 Maverick

Google: Gemini 3.6 Flash vs Meta: Llama 4 Maverick: compare current API pricing, context, provider routes, privacy, p50 latency, and OpenAI-compatible access.

Verify gateway

Onebase URL to migrate

100sof models and routes

0prompt or output logs. Always.

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: Gemini 3.6 Flash has the larger context window. Meta: Llama 4 Maverick has the lower published input-plus-output rate, more Credits provider routes and the lower measured p50 time to first token.

$4.7475/1MGoogle: Gemini 3.6 Flash cheapest route

$0.94528/1MMeta: Llama 4 Maverick cheapest route

1784 msGoogle: Gemini 3.6 Flash fastest measured p50 TTFT via google-vertex

1424 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: Gemini 3.6 FlashMeta: Llama 4 Maverick

Model idgoogle/gemini-3.6-flashmeta-llama/llama-4-maverick

Publisher Google AI Studio Cerebras

AI IQ IQ 122#20 IQ 85#127

Context1,048,576 tokens128,000 tokens

Credits provider routes23

Cheapest route$4.7475/1M$0.94528/1M

Cached input$0.079125/1M$0.17935/1M

Privacy posturehas ZDR routehas ZDR route

Fastest measured p50 TTFT1784 ms via google-vertex1424 ms via digitalocean

Highest measured throughputnot enough datanot enough data

Recent route uptime range100.00%100.00%

Modes chat chat

Google: Gemini 3.6 Flash routes

Overview2 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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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/gemini-3.6-flash",
    messages=messages,
)

Questions

Which should I use, Google: Gemini 3.6 Flash or Meta: Llama 4 Maverick?

Is Google: Gemini 3.6 Flash or Meta: Llama 4 Maverick cheaper?

The current cheapest TrustedRouter route is $4.7475/1M for Google: Gemini 3.6 Flash and $0.94528/1M for Meta: Llama 4 Maverick. The comparison uses current catalog prices and updates as provider pricing changes.

Is Google: Gemini 3.6 Flash or Meta: Llama 4 Maverick faster?

Current measured p50 time to first token is 1784 ms for Google: Gemini 3.6 Flash and 1424 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: Gemini 3.6 Flash 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/gemini-3.6-flash and meta-llama/llama-4-maverick. This makes side-by-side evals possible without maintaining two provider integrations.