OpenAI compatible API · Attested · Public status

Google: Gemma 3 27B vs Meta: Llama 3.3 70B Instruct

Google: Gemma 3 27B 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 27B has the lower cheapest prompt+completion route on TrustedRouter. Meta: Llama 3.3 70B Instruct has more provider fallback routes, while Google: Gemma 3 27B has the larger context window. Current TrustedRouter probes show Google: Gemma 3 27B with the lower p50 TTFT.

$0.2532/1MGoogle: Gemma 3 27B cheapest route
$0.564425/1MMeta: Llama 3.3 70B Instruct cheapest route
938 msGoogle: Gemma 3 27B fastest measured p50 TTFT via nebius
1292 msMeta: Llama 3.3 70B Instruct fastest measured p50 TTFT via sambanova

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 3.3 70B Instruct
Model idgoogle/gemma-3-27b-itmeta-llama/llama-3.3-70b-instruct
AI IQ
Context131,072 tokens131,072 tokens
Credits provider routes412
Cheapest route$0.2532/1M$0.564425/1M
Cached input$0.0422/1M$0.1055/1M to $0.633/1M
Privacy posturehas ZDR routehas provider E2EE route
Fastest measured p50 TTFT938 ms via nebius1292 ms via sambanova
Highest measured throughputnot enough datanot enough data
Recent route uptime range100.00%100.00%
Modes chat chat

Google: Gemma 3 27B 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-3-27b-it",
    messages=messages,
)

Questions

Which should I use, Google: Gemma 3 27B or Meta: Llama 3.3 70B Instruct?

Google: Gemma 3 27B has the lower cheapest prompt+completion route on TrustedRouter. Meta: Llama 3.3 70B Instruct has more provider fallback routes, while Google: Gemma 3 27B has the larger context window. Current TrustedRouter probes show Google: Gemma 3 27B with the lower p50 TTFT.

Is Google: Gemma 3 27B or Meta: Llama 3.3 70B Instruct cheaper?

The current cheapest TrustedRouter route is $0.2532/1M for Google: Gemma 3 27B 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 27B or Meta: Llama 3.3 70B Instruct faster?

Current measured p50 time to first token is 938 ms for Google: Gemma 3 27B and 1292 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 27B 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-3-27b-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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