Grok 4.20 Multi-Agent vs GLM 5.2

Practical read: Grok 4.20 Multi-Agent reads more context. One API key runs both.

One key routes both. Starter credit covers your first GLM 5.2 requests, while Grok 4.20 Multi-Agent runs on your own provider key. Switch by changing the model name.

Side by side:

SpaceXAI: Grok 4.20 Multi-Agent compared with Z.ai: GLM 5.2
Attribute	Grok 4.20 Multi-Agent `x-ai/grok-4.20-multi-agent`	GLM 5.2 `z-ai/glm-5.2`
Price, 1M in + out	$3.96 Your provider key	$2.30 Engy, cheapest route
Best for	Long documents
Cached input	Not published	$0.131875/1M to $0.773315/1M
Context window	2M 2,000,000 tokens	1.05M 1,048,576 tokens
First token, p50	Measuring	0.66 s via FriendliAI
Throughput	Measuring	265 tok/s via Telnyx
AI IQ	Unrated	IQ 118 #53 on AI IQ
Provider routes	0	31 with failover
Privacy	Varies by provider	Confidential E2EE and zero retention route
Recent route uptime range	not enough data	0.00% to 100.00%
Publisher	xAI Grok	Z.AI
Modes	chat	chat
More detail	Overview	Overview Pricing Providers Benchmarks

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 Grok 4.20 Multi-Agent and GLM 5.2 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 x-ai/grok-4.20-multi-agent, then on z-ai/glm-5.2.
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.trustedrouter.com/v1",
    api_key=os.environ["TRUSTEDROUTER_API_KEY"],
)
for model in ("x-ai/grok-4.20-multi-agent", "z-ai/glm-5.2"):
    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 x-ai/grok-4.20-multi-agent z-ai/glm-5.2; 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, SpaceXAI: Grok 4.20 Multi-Agent or Z.ai: GLM 5.2?

SpaceXAI: Grok 4.20 Multi-Agent has the larger context window. Z.ai: GLM 5.2 has more Credits provider routes. A published Credits price comparison is not available for both models. There is not enough recent probe data to compare speed.

Is SpaceXAI: Grok 4.20 Multi-Agent or Z.ai: GLM 5.2 cheaper?

The current cheapest TrustedRouter route is $3.95625/1M for SpaceXAI: Grok 4.20 Multi-Agent and $2.2999/1M for Z.ai: GLM 5.2. The comparison uses current catalog prices and updates as provider pricing changes.

Is SpaceXAI: Grok 4.20 Multi-Agent or Z.ai: GLM 5.2 faster?

Current measured p50 time to first token is not enough data for SpaceXAI: Grok 4.20 Multi-Agent and 659 ms for Z.ai: GLM 5.2. These are routed probe measurements, not vendor-advertised speeds, and update as new samples arrive.

Can I test SpaceXAI: Grok 4.20 Multi-Agent and Z.ai: GLM 5.2 with the same API?

Yes. Use the same OpenAI-compatible TrustedRouter base URL and API key, then change only the model id between x-ai/grok-4.20-multi-agent and z-ai/glm-5.2. This makes side-by-side evals possible without maintaining two provider integrations.

More comparisons

All comparisons

Try Grok 4.20 Multi-Agent and GLM 5.2 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.

One key routes both. Starter credit covers your first GLM 5.2 requests, while Grok 4.20 Multi-Agent runs on your own provider key. Switch by changing the model name.