Abliterated Large Flash vs Gemma 4 31B

Practical read: Abliterated Large Flash reads four times more context. Gemma 4 31B costs about a seventh as much. One API key runs both.

No card required. Start with 1 million free tokens.

Side by side:

Abliterated Large Flash compared with Google: Gemma 4 31B
Attribute	Abliterated Large Flash `abliteration/abliterated-model-large-flash`	Gemma 4 31B `google/gemma-4-31b-it`
Price, 1M in + out	$3.16 Abliteration, cheapest route	$0.46 Weights & Biases, cheapest route
Best for	Long documents	Low cost
Input / output, 1M	$1.06 / $2.11	$0.11 / $0.36
Cached input	$0.1055/1M	$0.060927/1M to $0.26375/1M
Context window	1.05M 1,048,576 tokens	262K 262,144 tokens
AI IQ	Unrated	IQ 101 #120 on AI IQ
Provider routes	1	15 with failover
Privacy	Zero retention route	Confidential E2EE and zero retention route
Publisher	abliteration	Google AI Studio
Modes	chat	chat
More detail	Overview	Overview Pricing Providers

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 Abliterated Large Flash and Gemma 4 31B 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 abliteration/abliterated-model-large-flash, then on google/gemma-4-31b-it.
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 ("abliteration/abliterated-model-large-flash", "google/gemma-4-31b-it"):
    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 abliteration/abliterated-model-large-flash google/gemma-4-31b-it; 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, Abliterated Large Flash or Google: Gemma 4 31B?

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

Is Abliterated Large Flash or Google: Gemma 4 31B cheaper?

The current cheapest TrustedRouter route is $3.165/1M for Abliterated Large Flash and $0.4642/1M for Google: Gemma 4 31B. The comparison uses current catalog prices and updates as provider pricing changes.

Can I test Abliterated Large Flash and Google: Gemma 4 31B with the same API?

Yes. Use the same OpenAI-compatible TrustedRouter base URL and API key, then change only the model id between abliteration/abliterated-model-large-flash and google/gemma-4-31b-it. This makes side-by-side evals possible without maintaining two provider integrations.

More comparisons

All comparisons

Try Abliterated Large Flash and Gemma 4 31B 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.