google/gemma-4-31B-turbo vs Kimi K3.1 Pro

Practical read: google/gemma-4-31B-turbo costs under a tenth as much. Kimi K3.1 Pro reads eight times more context. One API key runs both.

No card required. Start with 1 million free tokens.

Side by side:

google/gemma-4-31B-turbo compared with MoonshotAI: Kimi K3.1 Pro
Attribute	google/gemma-4-31B-turbo `google/gemma-4-31b-turbo`	Kimi K3.1 Pro `moonshotai/kimi-k3.1-pro`
Price, 1M in + out	$0.52 Chutes, cheapest route	$8.86 Engy, cheapest route
Best for	Low cost	Long documents
Input / output, 1M	$0.13 / $0.39	$1.48 / $7.38
Cached input	$0.01266/1M	$0.1477/1M to $0.422/1M
Context window	131K 131,072 tokens	1.05M 1,048,576 tokens
AI IQ	Unrated	IQ 132 #14 on AI IQ
Provider routes	1	15 with failover
Privacy	Confidential E2EE and zero retention route	Confidential E2EE and zero retention route
Publisher	Google AI Studio	Kimi
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 google/gemma-4-31B-turbo and Kimi K3.1 Pro 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-turbo, then on moonshotai/kimi-k3.1-pro.
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-turbo", "moonshotai/kimi-k3.1-pro"):
    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-turbo moonshotai/kimi-k3.1-pro; 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-turbo or MoonshotAI: Kimi K3.1 Pro?

google/gemma-4-31B-turbo has the lower published input-plus-output rate. MoonshotAI: Kimi K3.1 Pro has more Credits provider routes and the larger context window. There is not enough recent probe data to compare speed.

Is google/gemma-4-31B-turbo or MoonshotAI: Kimi K3.1 Pro cheaper?

The current cheapest TrustedRouter route is $0.51695/1M for google/gemma-4-31B-turbo and $8.862/1M for MoonshotAI: Kimi K3.1 Pro. The comparison uses current catalog prices and updates as provider pricing changes.

Can I test google/gemma-4-31B-turbo and MoonshotAI: Kimi K3.1 Pro 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-turbo and moonshotai/kimi-k3.1-pro. This makes side-by-side evals possible without maintaining two provider integrations.

More comparisons

All comparisons

Try google/gemma-4-31B-turbo and Kimi K3.1 Pro 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.