Free to start

Google: Gemini 3.1 Pro Preview vs Meta: Llama 3.3 70B Instruct

Try both on us. Starter credit covers your first requests, then one key routes Gemini 3.1 Pro Preview 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 3.1 Pro Preview has the larger context window. Meta: Llama 3.3 70B Instruct has the lower published input-plus-output rate and more Credits provider routes. There is not enough recent probe data to compare speed.

$14.77/1MGoogle: Gemini 3.1 Pro Preview cheapest route

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

not enough dataGoogle: Gemini 3.1 Pro Preview fastest measured p50 TTFT

not enough dataMeta: Llama 3.3 70B Instruct fastest measured p50 TTFT

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 3.1 Pro PreviewMeta: Llama 3.3 70B Instruct

Model idgoogle/gemini-3.1-pro-previewmeta-llama/llama-3.3-70b-instruct

Publisher Google AI Studio Meta

AI IQ IQ 122#34 —

Context1,048,576 tokens131,072 tokens

Credits provider routes310

Cheapest route$14.77/1M$0.564425/1M

Cached input$0.211/1M to $0.422/1M$0.1055/1M to $0.633/1M

Privacy posturehas ZDR routehas Confidential route (E2EE + ZDR)

Fastest measured p50 TTFTnot enough datanot enough data

Highest measured throughputnot enough datanot enough data

Recent route uptime rangenot enough datanot enough data

Modes chat chat decide

Google: Gemini 3.1 Pro Preview routes

Overview3 Credits routes
PricingInput, cached input, and output rates
BenchmarksTrustedRouter and external sources
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

Related comparisons

Browse every comparison

Meta: Llama 3.3 70B Instruct vs Z.ai: GLM 5.343 combined provider routes
Meta: Llama 3.3 70B Instruct vs Z.ai: GLM 5.242 combined provider routes
Meta: Llama 3.3 70B Instruct vs Z.ai: GLM 5.3 Flash42 combined provider routes
Meta: Llama 3.3 70B Instruct vs MoonshotAI: Kimi K338 combined provider routes
DeepSeek: DeepSeek V4 Flash 0731 vs Meta: Llama 3.3 70B Instruct36 combined provider routes
Google: Gemini 3.1 Pro Preview vs Z.ai: GLM 5.336 combined provider routes
Google: Gemini 3.1 Pro Preview vs Z.ai: GLM 5.235 combined provider routes
Google: Gemini 3.1 Pro Preview vs Z.ai: GLM 5.3 Flash35 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-azure.trustedrouter.com/v1",
    api_key="sk-tr-v1-..."
)

response = client.chat.completions.create(
    model="google/gemini-3.1-pro-preview",
    messages=messages,
)

Questions

Which should I use, Google: Gemini 3.1 Pro Preview or Meta: Llama 3.3 70B Instruct?

Is Google: Gemini 3.1 Pro Preview or Meta: Llama 3.3 70B Instruct cheaper?

The current cheapest TrustedRouter route is $14.77/1M for Google: Gemini 3.1 Pro Preview 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 3.1 Pro Preview or Meta: Llama 3.3 70B Instruct faster?

Current measured p50 time to first token is not enough data for Google: Gemini 3.1 Pro Preview and not enough data 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 3.1 Pro Preview 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-3.1-pro-preview and meta-llama/llama-3.3-70b-instruct. This makes side-by-side evals possible without maintaining two provider integrations.