Gemma 4 31B vs Sao10K/L3.1-70B-Euryale-v2.2

Practical read: Gemma 4 31B costs about a quarter as much and reads two times more context. One API key runs both.

No card required. Start with 1 million free tokens.

Side by side:

Google: Gemma 4 31B compared with Sao10K/L3.1-70B-Euryale-v2.2
Attribute	Gemma 4 31B `google/gemma-4-31b-it`	Sao10K/L3.1-70B-Euryale-v2.2 `sao10k/l3.1-70b-euryale-v2.2`
Price, 1M in + out	$0.46 Weights & Biases, cheapest route	$1.79 DeepInfra, cheapest route
Best for	Low cost and long documents
Input / output, 1M	$0.11 / $0.36	$0.90 / $0.90
Cached input	$0.060927/1M to $0.26375/1M	Not published
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	Sao10K
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 Sao10K/L3.1-70B-Euryale-v2.2 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 sao10k/l3.1-70b-euryale-v2.2.
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", "sao10k/l3.1-70b-euryale-v2.2"):
    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 sao10k/l3.1-70b-euryale-v2.2; 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 Sao10K/L3.1-70B-Euryale-v2.2?

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

Is Google: Gemma 4 31B or Sao10K/L3.1-70B-Euryale-v2.2 cheaper?

The current cheapest TrustedRouter route is $0.4642/1M for Google: Gemma 4 31B and $1.7935/1M for Sao10K/L3.1-70B-Euryale-v2.2. The comparison uses current catalog prices and updates as provider pricing changes.

Can I test Google: Gemma 4 31B and Sao10K/L3.1-70B-Euryale-v2.2 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 sao10k/l3.1-70b-euryale-v2.2. This makes side-by-side evals possible without maintaining two provider integrations.

More comparisons

All comparisons

Try Gemma 4 31B and Sao10K/L3.1-70B-Euryale-v2.2 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.