OpenAI compatible API · Attested · Public status

DeepSeek V3.1 vs Google: Gemma 3 27B

DeepSeek V3.1 vs Google: Gemma 3 27B: 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

DeepSeek V3.1 has more Credits provider routes. Google: Gemma 3 27B has the lower published input-plus-output rate. Their context windows are the same size. There is not enough recent probe data to compare speed.

$1.266/1MDeepSeek V3.1 cheapest route
$0.2532/1MGoogle: Gemma 3 27B cheapest route
1343 msDeepSeek V3.1 fastest measured p50 TTFT via wandb
not enough dataGoogle: Gemma 3 27B 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.

DeepSeek V3.1Google: Gemma 3 27B
Model iddeepseek/deepseek-v3.1google/gemma-3-27b-it
AI IQ IQ 99#111 —
Context131,072 tokens131,072 tokens
Credits provider routes54
Cheapest route$1.266/1M$0.2532/1M
Cached input$0.13715/1M to $0.142425/1M$0.0422/1M
Privacy postureprovider posture varieshas ZDR route
Fastest measured p50 TTFT1343 ms via wandbnot enough data
Highest measured throughputnot enough datanot enough data
Recent route uptime range100.00%100.00%
Modes chat chat

DeepSeek V3.1 routes

Google: Gemma 3 27B 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-v3.1",
    messages=messages,
)

Questions

Which should I use, DeepSeek V3.1 or Google: Gemma 3 27B?

DeepSeek V3.1 has more Credits provider routes. Google: Gemma 3 27B has the lower published input-plus-output rate. Their context windows are the same size. There is not enough recent probe data to compare speed.

Is DeepSeek V3.1 or Google: Gemma 3 27B cheaper?

The current cheapest TrustedRouter route is $1.266/1M for DeepSeek V3.1 and $0.2532/1M for Google: Gemma 3 27B. The comparison uses current catalog prices and updates as provider pricing changes.

Is DeepSeek V3.1 or Google: Gemma 3 27B faster?

Current measured p50 time to first token is 1343 ms for DeepSeek V3.1 and not enough data for Google: Gemma 3 27B. These are routed probe measurements, not vendor-advertised speeds, and update as new samples arrive.

Can I test DeepSeek V3.1 and Google: Gemma 3 27B 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-v3.1 and google/gemma-3-27b-it. This makes side-by-side evals possible without maintaining two provider integrations.

Workspace access

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