GLM-5.2
zai-org/glm-5.2
powerful coding with 1M context and long-horizon tasks.
cmd --model zai-org/glm-5.2
Intelligence index
52.6
Output speed
124.7 tok/s
Input
$1.40 /M
Output
$4.40 /M
Cache read
$0.26 /M
Agent-loop cost
$0.60 /M in
Context window
1M tokens
Released
June 16, 2026
Modalities
→
vs. the lineup
GLM-5.2 beside its stablemates and nearest rivals. The ◆ marks the best value in each column across every row shown.
pin a rival:
| Model | Intelligence | Coding | Speed | Input $/M | Output $/M | Blended $/M | Context |
|---|---|---|---|---|---|---|---|
| Muse Spark 1.2 | 56.8◆ | 72.2◆ | —◆ | $1.25◆ | $4.25◆ | $2◆ | 1.05M◆ |
| GLM-5.2 ◆ | 52.6◆ | 68.8◆ | 124.7◆ | $1.40◆ | $4.40◆ | $2.15◆ | 1M◆ |
| GLM-5.1 | 41◆ | 55.8◆ | —◆ | $1.40◆ | $4.40◆ | $2.15◆ | 200K◆ |
| GLM-5 | 40.6◆ | —◆ | —◆ | $1◆ | $3.20◆ | $1.55◆ | 200K◆ |
| GLM-5.3 | —◆ | —◆ | —◆ | $1.40◆ | $4.40◆ | $2.15◆ | 1M◆ |
| GLM-5.2 Fast | —◆ | —◆ | —◆ | $3◆ | $10.25◆ | $4.81◆ | 1M◆ |
| DeepSeek V4 Pro (latest)pinned | 45.3◆ | 59.4◆ | 63.3◆ | $0.66◆ | $1.98◆ | $0.99◆ | 1M◆ |
| DeepSeek V4 Flash (latest)pinned | 52◆ | 69.1◆ | 115.9◆ | $0.22◆ | $0.66◆ | $0.33◆ | 1M◆ |
coding performance
The Intelligence Index and its sub-scores, ranked against every scored model in the catalog. A metric that has not been measured for GLM-5.2 has been left empty.
Coding Index
68.8
#19 of 40 scored
Terminal-Bench
77.9
#17 of 40 scored
Intelligence Index
52.6
#15 of 46 scored
Long-context reasoning
76.7
reasoning across a long context
SciCode
50.5
scientific coding
GPQA Diamond
89.5
graduate-level QA
usage calculator
How far a month of credits goes on GLM-5.2.
Input tokensfresh prompt
800Output tokensmodel reply
180Cache read tokensre-read context
50Kcost / request $0.015 · in $1.40 · out $4.40 · cache $0.26 per M
fresh input 8%output 5%cache reads 87%
Requests / 30 days
671
$10 credits ÷ $0.015 per request
~134 quick fixes~27 bug fixes~4 feature PRs
what real work costs
Real coding tasks priced end to end on GLM-5.2, from a quick lookup to a full-repo agent run.
One agent task
$0.15
180K in at 75% cache hit, 12K out
What you pay
$0.79 /M
all-in across every token that task touched
Sticker input
$1.40 /M
cache reads bill at $0.26 /M instead
| Task | Tokens in · out | GLM-5.2 | Muse Spark 1.2 | Claude Haiku 4.5 |
|---|---|---|---|---|
| Quick lookup / one-liner | 8K · 1K | $0.0074 | $0.0063 | $0.0065 |
| Review a 500-line PR | 60K · 4K | $0.05 | $0.05 | $0.04 |
| Fix a bug (agent loop) | 180K · 12K | $0.15 | $0.13 | $0.12 |
| Refactor a module | 320K · 20K | $0.27 | $0.23 | $0.21 |
| Full-repo agent run | 900K · 45K | $0.66 | $0.54 | $0.49 |
frequently asked
What is GLM-5.2 best for?
GLM 5.2 is a large-scale reasoning model from Z.ai. It supports text input and output with a 1M-token context window, and is suited for long-horizon agent workflows, project-level software engineering, and complex multi-step automation. Reasoning efforts high and xhigh are supported; xhigh maps to max reasoning. It is particularly strong at coding and tool use across long-running tasks, able to maintain engineering context and follow standards consistently through a full development workflow, from requirements to multi-platform deployment, in a single task.
How much does GLM-5.2 cost?
$1.40/M input and $4.40/M output, cache reads $0.26/M. In an agent loop most input is cache-read, so the effective input rate is about $0.60/M.Which plan do I need?
Available on Go and above.
How do I switch to it?
Run
cmd --model zai-org/glm-5.2, or type /model in a session and pick it. You can switch mid-session without losing context.Ship code that matches your taste
Command Code is the AI coding agent that continuously learns your taste. Start for $1.
Benchmarks from Artificial Analysis (v4.1)commandcode.ai/models/glm-5-2