google/gemma-4-31B-turbo vs GLM 5.2

Practical read: google/gemma-4-31B-turbo costs about a quarter as much. GLM 5.2 reads eight times more context and starts answering sooner. One API key runs both.

No card required. Start with 1 million free tokens.

Side by side:

google/gemma-4-31B-turbo compared with Z.ai: GLM 5.2
Attribute	google/gemma-4-31B-turbo `google/gemma-4-31b-turbo`	GLM 5.2 `z-ai/glm-5.2`
Price, 1M in + out	$0.52 Chutes, cheapest route	$2.30 Engy, cheapest route
Best for	Low cost	Long documents and speed
Input / output, 1M	$0.13 / $0.39	$0.72 / $1.58
Cached input	$0.01266/1M	$0.131875/1M to $0.80391/1M
Context window	131K 131,072 tokens	1.05M 1,048,576 tokens
First token, p50	12.2 s via Chutes	0.66 s via FriendliAI
AI IQ	Unrated	IQ 118 #53 on AI IQ
Provider routes	1	32 with failover
Privacy	Confidential E2EE and zero retention route	Confidential E2EE and zero retention route
Recent route uptime range	100.00%	0.00% to 100.00%
Publisher	Google AI Studio	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 google/gemma-4-31B-turbo 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 google/gemma-4-31b-turbo, 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 ("google/gemma-4-31b-turbo", "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 google/gemma-4-31b-turbo 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, google/gemma-4-31B-turbo or Z.ai: GLM 5.2?

google/gemma-4-31B-turbo has the lower published input-plus-output rate. Z.ai: GLM 5.2 has more Credits provider routes, the larger context window and the lower measured p50 time to first token.

Is google/gemma-4-31B-turbo or Z.ai: GLM 5.2 cheaper?

The current cheapest TrustedRouter route is $0.51695/1M for google/gemma-4-31B-turbo and $2.2999/1M for Z.ai: GLM 5.2. The comparison uses current catalog prices and updates as provider pricing changes.

Is google/gemma-4-31B-turbo or Z.ai: GLM 5.2 faster?

Current measured p50 time to first token is 12210 ms for google/gemma-4-31B-turbo and 662 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 google/gemma-4-31B-turbo 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 google/gemma-4-31b-turbo and z-ai/glm-5.2. This makes side-by-side evals possible without maintaining two provider integrations.

More comparisons

All comparisons

Try google/gemma-4-31B-turbo 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.

No card required. Start with 1 million free tokens.