Kimi K3.1 Pro vs Qwen3.8 27B

Practical read: Kimi K3.1 Pro reads more context. Qwen3.8 27B costs under a tenth as much. One API key runs both.

No card required. Start with 1 million free tokens.

Side by side:

MoonshotAI: Kimi K3.1 Pro compared with Qwen: Qwen3.8 27B
Attribute	Kimi K3.1 Pro `moonshotai/kimi-k3.1-pro`	Qwen3.8 27B `qwen/qwen3.8-27b`
Price, 1M in + out	$8.86 Engy, cheapest route	$0.39 Engy, cheapest route
Best for	Long documents	Low cost
Input / output, 1M	$1.48 / $7.38	$0.047 / $0.34
Cached input	$0.1477/1M to $0.422/1M	$0.01/1M to $0.178295/1M
Context window	1.05M 1,048,576 tokens	66K 65,536 tokens
AI IQ	IQ 132 #14 on AI IQ	IQ 115 #57 on AI IQ
Provider routes	15 with failover	21 with failover
Privacy	Confidential E2EE and zero retention route	Confidential E2EE and zero retention route
Publisher	Kimi	Alibaba Cloud Model Studio
Modes	chat	chat
More detail	Overview Pricing Providers	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 Kimi K3.1 Pro and Qwen3.8 27B 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 moonshotai/kimi-k3.1-pro, then on qwen/qwen3.8-27b.
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 ("moonshotai/kimi-k3.1-pro", "qwen/qwen3.8-27b"):
    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 moonshotai/kimi-k3.1-pro qwen/qwen3.8-27b; 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, MoonshotAI: Kimi K3.1 Pro or Qwen: Qwen3.8 27B?

MoonshotAI: Kimi K3.1 Pro has the larger context window. Qwen: Qwen3.8 27B has the lower published input-plus-output rate and more Credits provider routes. There is not enough recent probe data to compare speed.

Is MoonshotAI: Kimi K3.1 Pro or Qwen: Qwen3.8 27B cheaper?

The current cheapest TrustedRouter route is $8.862/1M for MoonshotAI: Kimi K3.1 Pro and $0.385075/1M for Qwen: Qwen3.8 27B. The comparison uses current catalog prices and updates as provider pricing changes.

Can I test MoonshotAI: Kimi K3.1 Pro and Qwen: Qwen3.8 27B with the same API?

Yes. Use the same OpenAI-compatible TrustedRouter base URL and API key, then change only the model id between moonshotai/kimi-k3.1-pro and qwen/qwen3.8-27b. This makes side-by-side evals possible without maintaining two provider integrations.

More comparisons

All comparisons

Try Kimi K3.1 Pro and Qwen3.8 27B 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.