Gemma 4 31B vs Ling 3.0 Flash VL

Practical read: Gemma 4 31B reads two times more context. Ling 3.0 Flash VL costs about half as much. One API key runs both.

No card required. Start with 1 million free tokens.

Side by side:

Google: Gemma 4 31B compared with inclusionAI: Ling 3.0 Flash VL
Attribute	Gemma 4 31B `google/gemma-4-31b-it`	Ling 3.0 Flash VL `inclusionai/ling-3.0-flash-vl`
Price, 1M in + out	$0.46 Weights & Biases, cheapest route	$0.25 DeepInfra, cheapest route
Best for	Long documents	Low cost
Input / output, 1M	$0.11 / $0.36	$0.063 / $0.19
Cached input	$0.060927/1M to $0.26375/1M	$0.01266/1M
Context window	262K 262,144 tokens	131K 131,072 tokens
AI IQ	IQ 101 #120 on AI IQ	Unrated
Provider routes	15 with failover	1
Privacy	Confidential E2EE and zero retention route	Varies by provider
Publisher	Google AI Studio	inclusionAI
Modes	chat	chat
More detail	Overview Pricing Providers	Overview

Price adds one million input and one million output tokens on the cheapest route. Prices and speed change: see the monthly reports and run a small eval before you choose a default.

Test both with your agent

Paste this into Claude Code, Cursor or any coding agent.

Compare Gemma 4 31B and Ling 3.0 Flash VL in this project through TrustedRouter.

1. Read https://trustedrouter.com/docs/llms.txt
2. Point the OpenAI-compatible client at
   https://api-azure.trustedrouter.com/v1 and read the key from
   TRUSTEDROUTER_API_KEY.
3. Run our eval prompts on google/gemma-4-31b-it, then on inclusionai/ling-3.0-flash-vl.
4. Show me cost, latency and quality side by side before changing the default.

import os
from openai import OpenAI

client = OpenAI(
    base_url="https://api-azure.trustedrouter.com/v1",
    api_key=os.environ["TRUSTEDROUTER_API_KEY"],
)
for model in ("google/gemma-4-31b-it", "inclusionai/ling-3.0-flash-vl"):
    response = client.chat.completions.create(
        model=model,
        messages=[{"role": "user", "content": "What is the capital of France?"}],
    )
    print(model, response.choices[0].message.content)

for model in google/gemma-4-31b-it inclusionai/ling-3.0-flash-vl; do
  curl https://api-azure.trustedrouter.com/v1/chat/completions \
    -H "Authorization: Bearer $TRUSTEDROUTER_API_KEY" \
    -H "Content-Type: application/json" \
    -d "{\"model\": \"$model\", \"messages\": [{\"role\": \"user\", \"content\": \"What is the capital of France?\"}]}"
done

Your agent will need an API key.

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 $0.4642/1M 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.

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.

More comparisons

All comparisons

Try Gemma 4 31B and Ling 3.0 Flash VL with one key.

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.

No card required. Start with 1 million free tokens.