Qwen3 8B vs GLM 5.3

Practical read: Qwen3 8B costs about a sixth as much. GLM 5.3 reads more context and starts answering sooner. One API key runs both.

No card required. Start with 1 million free tokens.

Side by side:

Qwen: Qwen3 8B compared with Z.ai: GLM 5.3
Attribute	Qwen3 8B `qwen/qwen3-8b`	GLM 5.3 `z-ai/glm-5.3`
Price, 1M in + out	$0.35 Greenference, cheapest route	$2.11 Pearl Research Labs, cheapest route
Best for	Low cost	Long documents and speed
Input / output, 1M	$0.084 / $0.26	$0.53 / $1.58
Cached input	$0.0422/1M	$0.03165/1M to $0.96005/1M
Context window	41K 41,000 tokens	1.05M 1,048,576 tokens
First token, p50	0.85 s via Greenference	0.63 s via Telnyx
Throughput	Measuring	275 tok/s via Parasail
AI IQ	Unrated	IQ 124 #30 on AI IQ
Provider routes	1	33 with failover
Privacy	Zero retention route	Confidential E2EE and zero retention route
Recent route uptime range	100.00%	100.00%
Publisher	Alibaba Cloud Model Studio	Z.AI
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 Qwen3 8B and GLM 5.3 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 qwen/qwen3-8b, then on z-ai/glm-5.3.
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 ("qwen/qwen3-8b", "z-ai/glm-5.3"):
    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 qwen/qwen3-8b z-ai/glm-5.3; 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, Qwen: Qwen3 8B or Z.ai: GLM 5.3?

Qwen: Qwen3 8B has the lower published input-plus-output rate. Z.ai: GLM 5.3 has more Credits provider routes, the larger context window and the lower measured p50 time to first token.

Is Qwen: Qwen3 8B or Z.ai: GLM 5.3 cheaper?

The current cheapest TrustedRouter route is $0.34815/1M for Qwen: Qwen3 8B and $2.11/1M for Z.ai: GLM 5.3. The comparison uses current catalog prices and updates as provider pricing changes.

Is Qwen: Qwen3 8B or Z.ai: GLM 5.3 faster?

Current measured p50 time to first token is 852 ms for Qwen: Qwen3 8B and 634 ms for Z.ai: GLM 5.3. These are routed probe measurements, not vendor-advertised speeds, and update as new samples arrive.

Can I test Qwen: Qwen3 8B and Z.ai: GLM 5.3 with the same API?

Yes. Use the same OpenAI-compatible TrustedRouter base URL and API key, then change only the model id between qwen/qwen3-8b and z-ai/glm-5.3. This makes side-by-side evals possible without maintaining two provider integrations.

More comparisons

All comparisons

Try Qwen3 8B and GLM 5.3 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.