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Google: Gemma 4 31B vs inclusionAI: Ling 3.0 Flash VL

Try both on us. Starter credit covers your first requests, then one key routes Gemma 4 31B and Ling 3.0 Flash VL. 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. inclusionAI: Ling 3.0 Flash VL has the lower published input-plus-output rate. There is not enough recent probe data to compare speed.

$0.45365/1MGoogle: Gemma 4 31B cheapest route
$0.2532/1MinclusionAI: Ling 3.0 Flash VL cheapest route
665 msGoogle: Gemma 4 31B fastest measured p50 TTFT via crusoe
not enough datainclusionAI: Ling 3.0 Flash VL 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 31BinclusionAI: Ling 3.0 Flash VL
Model idgoogle/gemma-4-31b-itinclusionai/ling-3.0-flash-vl
Publisher Google AI Studio inclusionAI
AI IQ IQ 101#116 —
Context262,144 tokens131,072 tokens
Credits provider routes161
Cheapest route$0.45365/1M$0.2532/1M
Cached input$0.03798/1M to $0.26375/1M$0.01266/1M
Privacy posturehas Confidential route (E2EE + ZDR)provider posture varies
Fastest measured p50 TTFT665 ms via crusoenot enough data
Highest measured throughput146 tok/s via crusoenot enough data
Recent route uptime range0.00% to 100.00%100.00%
Modes chat chat

Google: Gemma 4 31B routes

inclusionAI: Ling 3.0 Flash VL routes

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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/gemma-4-31b-it",
    messages=messages,
)

Questions

Which should I use, Google: Gemma 4 31B or inclusionAI: Ling 3.0 Flash VL?

Google: Gemma 4 31B has more Credits provider routes and the larger context window. inclusionAI: Ling 3.0 Flash VL has the lower published input-plus-output rate. There is not enough recent probe data to compare speed.

Is Google: Gemma 4 31B or inclusionAI: Ling 3.0 Flash VL cheaper?

The current cheapest TrustedRouter route is $0.45365/1M for Google: Gemma 4 31B and $0.2532/1M for inclusionAI: Ling 3.0 Flash VL. The comparison uses current catalog prices and updates as provider pricing changes.

Is Google: Gemma 4 31B or inclusionAI: Ling 3.0 Flash VL faster?

Current measured p50 time to first token is 665 ms for Google: Gemma 4 31B and not enough data for inclusionAI: Ling 3.0 Flash VL. These are routed probe measurements, not vendor-advertised speeds, and update as new samples arrive.

Can I test Google: Gemma 4 31B and inclusionAI: Ling 3.0 Flash VL 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 inclusionai/ling-3.0-flash-vl. This makes side-by-side evals possible without maintaining two provider integrations.

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