DeepSeek V4.1 Flash 1017 Uncensored vs GLM 5.2
Practical read: DeepSeek V4.1 Flash 1017 Uncensored costs less. GLM 5.2 starts answering sooner. One API key runs both.
No card required. Start with 1 million free tokens.
Side by side:
| Attribute | DeepSeek V4.1 Flash 1017 Uncensored | GLM 5.2 |
|---|---|---|
| Price, 1M in + out | $1.74 Venice, cheapest route | $2.30 Engy, cheapest route |
| Best for | Low cost | Speed |
| Input / output, 1M | $0.35 / $1.39 | $0.72 / $1.58 |
| Cached input | $0.01/1M | $0.131875/1M to $0.773315/1M |
| Context window | 1M 1,000,000 tokens | 1.05M 1,048,576 tokens |
| First token, p50 | 2.0 s via Venice | 0.66 s via FriendliAI |
| Throughput | Measuring | 265 tok/s via Telnyx |
| AI IQ | Unrated | IQ 118 #53 on AI IQ |
| Provider routes | 1 | 31 with failover |
| Privacy | Varies by provider | Confidential E2EE and zero retention route |
| Recent route uptime range | 100.00% | 0.00% to 100.00% |
| Publisher | DeepSeek | 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 DeepSeek V4.1 Flash 1017 Uncensored 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 deepseek/deepseek-v4-1-flash-1017-uncensored, 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 ("deepseek/deepseek-v4-1-flash-1017-uncensored", "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 deepseek/deepseek-v4-1-flash-1017-uncensored 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
Questions
Which should I use, DeepSeek V4.1 Flash 1017 Uncensored or Z.ai: GLM 5.2?
DeepSeek V4.1 Flash 1017 Uncensored 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 DeepSeek V4.1 Flash 1017 Uncensored or Z.ai: GLM 5.2 cheaper?
The current cheapest TrustedRouter route is $1.74075/1M for DeepSeek V4.1 Flash 1017 Uncensored and $2.2999/1M for Z.ai: GLM 5.2. The comparison uses current catalog prices and updates as provider pricing changes.
Is DeepSeek V4.1 Flash 1017 Uncensored or Z.ai: GLM 5.2 faster?
Current measured p50 time to first token is 2003 ms for DeepSeek V4.1 Flash 1017 Uncensored 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 DeepSeek V4.1 Flash 1017 Uncensored 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 deepseek/deepseek-v4-1-flash-1017-uncensored and z-ai/glm-5.2. This makes side-by-side evals possible without maintaining two provider integrations.
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Try DeepSeek V4.1 Flash 1017 Uncensored 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.