OpenAI compatible API · Attested · Public status

Google: Gemma 3 12B vs Meta: Llama 3.3 70B Instruct

Google: Gemma 3 12B vs Meta: Llama 3.3 70B Instruct: 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: Gemma 3 12B has the lower cheapest prompt+completion route on TrustedRouter. Meta: Llama 3.3 70B Instruct has more provider fallback routes, while Google: Gemma 3 12B has the larger context window. Current TrustedRouter probes show Google: Gemma 3 12B with the lower p50 TTFT.

$0.15825/1MGoogle: Gemma 3 12B cheapest route
$0.564425/1MMeta: Llama 3.3 70B Instruct cheapest route
1474 msGoogle: Gemma 3 12B fastest measured p50 TTFT via databricks
1522 msMeta: Llama 3.3 70B Instruct fastest measured p50 TTFT via databricks

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 12BMeta: Llama 3.3 70B Instruct
Model idgoogle/gemma-3-12b-itmeta-llama/llama-3.3-70b-instruct
AI IQ
Context131,072 tokens131,072 tokens
Credits provider routes312
Cheapest route$0.15825/1M$0.564425/1M
Cached inputNot published$0.1055/1M to $0.633/1M
Privacy postureprovider posture varieshas provider E2EE route
Fastest measured p50 TTFT1474 ms via databricks1522 ms via databricks
Highest measured throughputnot enough datanot enough data
Recent route uptime range100.00%100.00%
Modes chat chat

Google: Gemma 3 12B routes

Meta: Llama 3.3 70B Instruct routes

Related comparisons

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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/gemma-3-12b-it",
    messages=messages,
)

Questions

Which should I use, Google: Gemma 3 12B or Meta: Llama 3.3 70B Instruct?

Google: Gemma 3 12B has the lower cheapest prompt+completion route on TrustedRouter. Meta: Llama 3.3 70B Instruct has more provider fallback routes, while Google: Gemma 3 12B has the larger context window. Current TrustedRouter probes show Google: Gemma 3 12B with the lower p50 TTFT.

Is Google: Gemma 3 12B or Meta: Llama 3.3 70B Instruct cheaper?

The current cheapest TrustedRouter route is $0.15825/1M for Google: Gemma 3 12B and $0.564425/1M for Meta: Llama 3.3 70B Instruct. The comparison uses current catalog prices and updates as provider pricing changes.

Is Google: Gemma 3 12B or Meta: Llama 3.3 70B Instruct faster?

Current measured p50 time to first token is 1474 ms for Google: Gemma 3 12B and 1522 ms for Meta: Llama 3.3 70B Instruct. These are routed probe measurements, not vendor-advertised speeds, and update as new samples arrive.

Can I test Google: Gemma 3 12B and Meta: Llama 3.3 70B Instruct 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 meta-llama/llama-3.3-70b-instruct. This makes side-by-side evals possible without maintaining two provider integrations.

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