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DeepSeek: DeepSeek V3.2 vs google/gemma-4-12B-it

Try both on us. Starter credit covers your first requests, then one key routes DeepSeek V3.2 and google/gemma-4-12B-it. 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

DeepSeek V3.2 has more Credits provider routes. google/gemma-4-12B-it has the lower published input-plus-output rate and the lower measured p50 time to first token.

$0.6752/1MDeepSeek: DeepSeek V3.2 cheapest route
$0.13715/1Mgoogle/gemma-4-12B-it cheapest route
3474 msDeepSeek: DeepSeek V3.2 fastest measured p50 TTFT via friendli
739 msgoogle/gemma-4-12B-it fastest measured p50 TTFT via neurometric

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.

DeepSeek: DeepSeek V3.2google/gemma-4-12B-it
Model iddeepseek/deepseek-v3.2google/gemma-4-12b-it
Context131,072 tokens0 tokens
Credits provider routes93
Cheapest route$0.6752/1M$0.13715/1M
Cached input$0.1055/1M to $0.714109/1M$0.15825/1M
Privacy posturehas Confidential route (E2EE + ZDR)provider posture varies
Fastest measured p50 TTFT3474 ms via friendli739 ms via neurometric
Highest measured throughputnot enough datanot enough data
Recent route uptime range100.00%100.00%
Modes chat chat

DeepSeek: DeepSeek V3.2 routes

google/gemma-4-12B-it 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="deepseek/deepseek-v3.2",
    messages=messages,
)

Questions

Which should I use, DeepSeek: DeepSeek V3.2 or google/gemma-4-12B-it?

DeepSeek V3.2 has more Credits provider routes. google/gemma-4-12B-it has the lower published input-plus-output rate and the lower measured p50 time to first token.

Is DeepSeek: DeepSeek V3.2 or google/gemma-4-12B-it cheaper?

The current cheapest TrustedRouter route is $0.6752/1M for DeepSeek: DeepSeek V3.2 and $0.13715/1M for google/gemma-4-12B-it. The comparison uses current catalog prices and updates as provider pricing changes.

Is DeepSeek: DeepSeek V3.2 or google/gemma-4-12B-it faster?

Current measured p50 time to first token is 3474 ms for DeepSeek: DeepSeek V3.2 and 739 ms for google/gemma-4-12B-it. These are routed probe measurements, not vendor-advertised speeds, and update as new samples arrive.

Can I test DeepSeek: DeepSeek V3.2 and google/gemma-4-12B-it with the same API?

Yes. Use the same OpenAI-compatible TrustedRouter base URL and API key, then change only the model id between deepseek/deepseek-v3.2 and google/gemma-4-12b-it. This makes side-by-side evals possible without maintaining two provider integrations.

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