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Google: Gemini 3.8 Flash vs Meta: Llama 3.3 70B Instruct

Try both on us. Starter credit covers your first requests, then one key routes Gemini 3.8 Flash and Llama 3.3 70B Instruct. 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: Gemini 3.8 Flash has the larger context window. Meta: Llama 3.3 70B Instruct 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 3.8 Flash cheapest route

$0.564425/1MMeta: Llama 3.3 70B Instruct cheapest route

3084 msGoogle: Gemini 3.8 Flash fastest measured p50 TTFT via google-vertex

1186 msMeta: Llama 3.3 70B Instruct fastest measured p50 TTFT via scaleway

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 3.8 FlashMeta: Llama 3.3 70B Instruct

Model idgoogle/gemini-3.8-flashmeta-llama/llama-3.3-70b-instruct

Publisher Google AI Studio Meta

AI IQ IQ 130#12 —

Context1,048,576 tokens131,072 tokens

Credits provider routes310

Cheapest route$4.7475/1M$0.564425/1M

Cached input$0.079125/1M$0.1055/1M to $0.633/1M

Privacy posturehas ZDR routehas Confidential route (E2EE + ZDR)

Fastest measured p50 TTFT3084 ms via google-vertex1186 ms via scaleway

Highest measured throughputnot enough datanot enough data

Recent route uptime range99.36% to 100.00%100.00%

Modes chat chat decide

Google: Gemini 3.8 Flash routes

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

Meta: Llama 3.3 70B Instruct routes

Overview10 Credits routes
PricingInput, cached input, and output rates
BenchmarksTrustedRouter and external sources
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-3.8-flash",
    messages=messages,
)

Questions

Which should I use, Google: Gemini 3.8 Flash or Meta: Llama 3.3 70B Instruct?

Is Google: Gemini 3.8 Flash or Meta: Llama 3.3 70B Instruct cheaper?

The current cheapest TrustedRouter route is $4.7475/1M for Google: Gemini 3.8 Flash 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: Gemini 3.8 Flash or Meta: Llama 3.3 70B Instruct faster?

Current measured p50 time to first token is 3084 ms for Google: Gemini 3.8 Flash and 1186 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: Gemini 3.8 Flash 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/gemini-3.8-flash and meta-llama/llama-3.3-70b-instruct. This makes side-by-side evals possible without maintaining two provider integrations.