Z.ai · Open weights
GLM 5V Turbo Thinking
Thinking-enabled GLM 5V Turbo for image, video, and text inputs. Uses the same multimodal foundation model with more deliberate vision-grounded analysis, planning, and tool use.
- Reasoning
- Tools
- Vision
- Structured output
- Video input
- Input
- Text, Images, Video
- Output
- Text
- Discovery tier
- Open weights
Pricing
USD per 1M tokens- Input
- $1.20
- Output
- $4.00
- Cache read
- $0.24
Reference prices as published by the model provider. API example
Specifications
- Context window
- 202.8K
- Max output
- 131.1K
- Average output (7 days)
- 942 tokens
- Longer than 69% of 468 models
Side by side
GLM 5V Turbo Thinking compared
Specifications, prices, speed and benchmark scores next to each other. Benchmarks below show every compared model too.
| GLM 5V Turbo ThinkingZ.aiThis model | Apex Flash 1Z.aiRemove | |
|---|---|---|
| Provider | Z.ai | Z.ai |
| Discovery tier | Open weights | Open weights |
| Added | Apr 2, 2026 | Oct 5, 2026 |
| Limits | ||
| Context window | 202.8K | 1.05MBest |
| Max output | 131.07KBest | 32.77K |
| Average output | 942 tokens | 672 tokens |
| Pricing, USD per 1M tokens | ||
| Input | $1.20 | $0.15Best |
| Output | $4.00 | $0.50Best |
| Cache read | $0.24 | $0.075Best |
| Performance | ||
| Throughput | 41.0 tok/sBest | 14.5 tok/s |
| Time to first token | 6.5 s | 4.1 sBest |
| Request success (24h) | 97.6%Best | 94.6% |
| Benchmark indexes | ||
| Intelligence Index | 23.5 | — |
| Capabilities | ||
| Reasoning | Yes | Yes |
| Tools | Yes | Yes |
| Vision | Yes | Yes |
| Structured output | Yes | No |
| Video input | Yes | No |
| Reasoning effort | — | low, high, max |
Public evaluations
Benchmarks
Independent evaluation results, with how each score ranks among the models in the Noumen catalog.
- GLM 5V Turbo Thinking
- Apex Flash 1
Intelligence Index
- GLM 5V Turbo Thinking23.5
- Apex Flash 1—
GLM 5V Turbo Thinking: Better than 57% of 326 scored models
Document reasoning
AA-LCRv1.1
Reasoning across long documents
- GLM 5V Turbo Thinking: 70.3%
- Apex Flash 1: —
Reasoning and knowledge
Humanity’s Last Exam
Expert-level questions across academic fields
- GLM 5V Turbo Thinking: 17.1%
- Apex Flash 1: —
GPQA Diamond
Graduate-level science questions
- GLM 5V Turbo Thinking: 80.9%
- Apex Flash 1: —
IFBench
Following precise output instructions
- GLM 5V Turbo Thinking: 61.1%
- Apex Flash 1: —
Legacy evaluations
Terminal-Bench Hard
Earlier terminal task suite
- GLM 5V Turbo Thinking: 32.6%
- Apex Flash 1: —
τ²-Bench Telecom
Tool use in a customer-support simulation
- GLM 5V Turbo Thinking: 98.5%
- Apex Flash 1: —
AA-LCR (unversioned)
Long-context reasoning, earlier grading
- GLM 5V Turbo Thinking: 70.3%
- Apex Flash 1: —
Scores from Artificial Analysis, updated Oct 26, 2026. Artificial Analysis
Live routing data
Performance and reliability
Recent averages across requests routed for this model. Your own speed depends on prompt length, reasoning effort and load.
- Throughput
- 41.0 tok/s
- Faster than 30% of 254 models
- Time to first token
- 6.5 s
- Quicker than 26% of 254 models
- Prompt cache hits
- 60.3%
- About $0.62 per 1M input tokens with caching
- Request success (24h)
- 97.6%
- Reliable
Cache hits are the share of input tokens recently served from a prompt cache across all requests. They are not a forecast of your own hit rate.
- Healthy (98% or more)
- Degraded (90–98%)
- Down (under 90%)
- No requests
Developers
Use it through the API
Noumen’s API is OpenAI-compatible: any Chat Completions client works with a base URL and a key.
curl https://www.noumen.xyz/api/v1/chat/completions \
-H "Authorization: Bearer $NOUMEN_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "z-ai/glm-5v-turbo:thinking",
"messages": [{ "role": "user", "content": "Explain this stack trace." }]
}'import os
from openai import OpenAI
client = OpenAI(base_url="https://www.noumen.xyz/api/v1", api_key=os.environ["NOUMEN_API_KEY"])
reply = client.chat.completions.create(
model="z-ai/glm-5v-turbo:thinking",
messages=[{"role": "user", "content": "Explain this stack trace."}],
)
print(reply.choices[0].message.content)Z.ai
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