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Kimi K3.1 Pro vs GLM 5.3 FlashX Legal

Practical read: Kimi K3.1 Pro starts answering sooner. GLM 5.3 FlashX Legal costs about a fifth 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 Z.ai: GLM 5.3 FlashX Legal
Attribute Kimi K3.1 Pro moonshotai/kimi-k3.1-pro GLM 5.3 FlashX Legal z-ai/glm-5.3-flashx-legal
Price, 1M in + out $8.86 Engy, cheapest route $1.71 Z.AI, cheapest route
Best for Speed Low cost
Input / output, 1M $1.48 / $7.38 $0.39 / $1.32
Cached input $0.1477/1M to $0.422/1M $0.079125/1M
Context window 1.05M 1,048,576 tokens 1.05M 1,048,576 tokens
First token, p50 0.94 s via Telnyx 1.4 s via Z.AI
AI IQ IQ 132 #14 on AI IQ Unrated
Provider routes 15 with failover 1
Privacy Confidential E2EE and zero retention route Varies by provider
Recent route uptime range 100.00% 100.00%
Publisher Kimi Z.AI
Modes chat chat
More detail

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 GLM 5.3 FlashX Legal in this project through TrustedRouter.

1. Read https://trustedrouter.com/docs/llms.txt
2. Point the OpenAI-compatible client at
   https://api.trustedrouter.com/v1 and read the key from
   TRUSTEDROUTER_API_KEY.
3. Run our eval prompts on moonshotai/kimi-k3.1-pro, then on z-ai/glm-5.3-flashx-legal.
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.trustedrouter.com/v1",
    api_key=os.environ["TRUSTEDROUTER_API_KEY"],
)
for model in ("moonshotai/kimi-k3.1-pro", "z-ai/glm-5.3-flashx-legal"):
    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 z-ai/glm-5.3-flashx-legal; do
  curl https://api.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 Z.ai: GLM 5.3 FlashX Legal?

MoonshotAI: Kimi K3.1 Pro has more Credits provider routes and the lower measured p50 time to first token. Z.ai: GLM 5.3 FlashX Legal has the lower published input-plus-output rate. Their context windows are the same size.

Is MoonshotAI: Kimi K3.1 Pro or Z.ai: GLM 5.3 FlashX Legal cheaper?

The current cheapest TrustedRouter route is $8.862/1M for MoonshotAI: Kimi K3.1 Pro and $1.7091/1M for Z.ai: GLM 5.3 FlashX Legal. The comparison uses current catalog prices and updates as provider pricing changes.

Is MoonshotAI: Kimi K3.1 Pro or Z.ai: GLM 5.3 FlashX Legal faster?

Current measured p50 time to first token is 936 ms for MoonshotAI: Kimi K3.1 Pro and 1355 ms for Z.ai: GLM 5.3 FlashX Legal. These are routed probe measurements, not vendor-advertised speeds, and update as new samples arrive.

Can I test MoonshotAI: Kimi K3.1 Pro and Z.ai: GLM 5.3 FlashX Legal 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 z-ai/glm-5.3-flashx-legal. This makes side-by-side evals possible without maintaining two provider integrations.

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All comparisons

Try Kimi K3.1 Pro and GLM 5.3 FlashX Legal 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.

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