Qwen3.8 27B vs GLM 5.3 Fast on Fireworks

Practical read: Qwen3.8 27B costs under a tenth as much. GLM 5.3 Fast on Fireworks reads more context. One API key runs both.

No card required. Start with 1 million free tokens.

Side by side:

Qwen: Qwen3.8 27B compared with GLM 5.3 Fast on Fireworks
Attribute	Qwen3.8 27B `qwen/qwen3.8-27b`	GLM 5.3 Fast on Fireworks `z-ai/glm-5.3-fast`
Price, 1M in + out	$0.39 Engy, cheapest route	$9.18 Baseten, cheapest route
Best for	Low cost	Long documents
Input / output, 1M	$0.047 / $0.34	$2.22 / $6.96
Cached input	$0.01/1M to $0.180405/1M	$0.22155/1M to $0.41145/1M
Context window	66K 65,536 tokens	1.05M 1,048,576 tokens
First token, p50	0.64 s via Cerebras	Measuring
AI IQ	IQ 115 #61 on AI IQ	Unrated
Provider routes	21 with failover	2 with failover
Privacy	Confidential E2EE and zero retention route	Zero retention route
Recent route uptime range	100.00%	not enough data
Publisher	Alibaba Cloud Model Studio	Z.AI
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 Qwen3.8 27B and GLM 5.3 Fast on Fireworks 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/qwen3.8-27b, then on z-ai/glm-5.3-fast.
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/qwen3.8-27b", "z-ai/glm-5.3-fast"):
    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/qwen3.8-27b z-ai/glm-5.3-fast; 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: Qwen3.8 27B or GLM 5.3 Fast on Fireworks?

Qwen: Qwen3.8 27B has the lower published input-plus-output rate and more Credits provider routes. GLM 5.3 Fast on Fireworks has the larger context window. There is not enough recent probe data to compare speed.

Is Qwen: Qwen3.8 27B or GLM 5.3 Fast on Fireworks cheaper?

The current cheapest TrustedRouter route is $0.385075/1M for Qwen: Qwen3.8 27B and $9.1785/1M for GLM 5.3 Fast on Fireworks. The comparison uses current catalog prices and updates as provider pricing changes.

Is Qwen: Qwen3.8 27B or GLM 5.3 Fast on Fireworks faster?

Current measured p50 time to first token is 641 ms for Qwen: Qwen3.8 27B and not enough data for GLM 5.3 Fast on Fireworks. These are routed probe measurements, not vendor-advertised speeds, and update as new samples arrive.

Can I test Qwen: Qwen3.8 27B and GLM 5.3 Fast on Fireworks with the same API?

Yes. Use the same OpenAI-compatible TrustedRouter base URL and API key, then change only the model id between qwen/qwen3.8-27b and z-ai/glm-5.3-fast. This makes side-by-side evals possible without maintaining two provider integrations.

More comparisons

All comparisons

Try Qwen3.8 27B and GLM 5.3 Fast on Fireworks 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.