GLM 4.6

by Zhipu

GLM 4.6 from Zhipu — text model on the Opper gateway.

Key info

Capabilities
Tools
Context window
203K
Max output
203K
Input price
/1M
Output price
/1M
  • US residency available
  • No training by default
  • GDPR DPA available

Benchmarks

Independent benchmark scores — composite indices for reasoning, coding, and math, plus individual eval scores where available.

Global rank#147 of 505 LLMs
TierStrong
Output speed29 tok/s
First token1.25s
Intelligence Index30.2
Coding Index30.2
Math Index44.3
MMLU-Pro
78%
GPQA Diamond
63%
Humanity's Last Exam
5%
LiveCodeBench
56%
SciCode
33%
AIME 2025
44%
IFBench
37%
Long-context reasoning
26%
Terminal-Bench Hard
29%
τ²-Bench Telecom
77%

Available routes

GLM 4.6 runs on 2 different routes through the Opper gateway. Compare residency, ZDR, and training posture at a glance — full data-handling detail per route below.

ProviderRegionZero data retentionTrainingInputOutput
DeepInfraUSNoNo
NovitaUSNoNo$0.55$2.20

Training posture across routes: No training on prompts by default.

Data handling per route

Each route hosting GLM 4.6 has its own privacy posture, residency, and GDPR terms. Postures are maintained by Opper with a last-verification timestamp.

DeepInfra United States🇺🇸

Zero data retention is not self-serve on Pay-as-you-go — available on request via Opper Enterprise. No training on customer data. US; unknown.

Zero data retention
Not self-serve. Available on request via Opper Enterprise.
Training
No training on customer data.
Logging
Limited debug logs
Third-party access
None disclosed
GDPR DPA
No DPA
Transfer mechanism
unknown

Novita United States🇺🇸

Zero data retention is not self-serve on Pay-as-you-go — available on request via Opper Enterprise. No training on customer data. US; SCCs; DPA available.

Zero data retention
Not self-serve. Available on request via Opper Enterprise.
Training
No training on customer data.
Logging
Abuse monitoring
Third-party access
None disclosed
GDPR DPA
DPA available
Transfer mechanism
SCCs

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GLM 4.6 by Zhipu — pricing, benchmarks | Opper AI