Find a model

Browse the full catalog →

Bring your own key

Google: Gemma 4 31B vs Meta Llama 3.1 8B Instruct

One key routes both. Starter credit covers your first Gemma 4 31B requests, while Meta Llama 3.1 8B Instruct runs on your own provider key. 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: Gemma 4 31B has more Credits provider routes and the larger context window. A published Credits price comparison is not available for both models. There is not enough recent probe data to compare speed.

$0.45365/1MGoogle: Gemma 4 31B cheapest route
$0.0844/1MMeta Llama 3.1 8B Instruct cheapest route
524 msGoogle: Gemma 4 31B fastest measured p50 TTFT via friendli
not enough dataMeta Llama 3.1 8B 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: Gemma 4 31BMeta Llama 3.1 8B Instruct
Model idgoogle/gemma-4-31b-itmeta-llama/Meta-Llama-3.1-8B-Instruct
AI IQ IQ 101#117 —
Context262,144 tokens128,000 tokens
Credits provider routes160
Cheapest route$0.45365/1M$0.0844/1M
Cached input$0.03798/1M to $0.26375/1MNot published
Privacy posturehas Confidential route (E2EE + ZDR)provider posture varies
Fastest measured p50 TTFT524 ms via friendlinot enough data
Highest measured throughput191 tok/s via tinfoilnot enough data
Recent route uptime range0.00% to 100.00%not enough data
Modes chat chat

Google: Gemma 4 31B routes

Meta Llama 3.1 8B Instruct routes

Related comparisons

Browse every comparison
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-4-31b-it",
    messages=messages,
)

Questions

Which should I use, Google: Gemma 4 31B or Meta Llama 3.1 8B Instruct?

Google: Gemma 4 31B has more Credits provider routes and the larger context window. A published Credits price comparison is not available for both models. There is not enough recent probe data to compare speed.

Is Google: Gemma 4 31B or Meta Llama 3.1 8B Instruct cheaper?

The current cheapest TrustedRouter route is $0.45365/1M for Google: Gemma 4 31B and $0.0844/1M for Meta Llama 3.1 8B Instruct. The comparison uses current catalog prices and updates as provider pricing changes.

Is Google: Gemma 4 31B or Meta Llama 3.1 8B Instruct faster?

Current measured p50 time to first token is 524 ms for Google: Gemma 4 31B and not enough data for Meta Llama 3.1 8B Instruct. These are routed probe measurements, not vendor-advertised speeds, and update as new samples arrive.

Can I test Google: Gemma 4 31B and Meta Llama 3.1 8B 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-4-31b-it and meta-llama/Meta-Llama-3.1-8B-Instruct. This makes side-by-side evals possible without maintaining two provider integrations.

Workspace access

Sign in

Choose a sign in method to access your TrustedRouter workspace.

New to TrustedRouter?

By continuing you agree to the terms of service and privacy policy.