Comparison · AI Models & LLMs
GLM-5.3 vs GLM-5
The same method as our rankings: scores from the engine, sourced data, verified prices.
Details: GLM-5 →Details: GLM-5.3 →

GLM-5
Z.ai
Full sheet →71.3/100
- SWE-bench accuracy
- 72.8%
- Context window
- 200k tokens
- Maximum output
- 128k tokens
- Input cost per 1M tokens
- $1.00
GLM-5.3
Z.ai
Full sheet →- Context window
- 1M tokens
- Maximum output
- 128k tokens
- Input cost per 1M tokens
- $1.40
- Output cost per 1M tokens
- $4.40
The numbers side by side
Each bar is the product's verified figure; on every row the longer bar is the higher of the two values.
- Context windowhigher is better
- Maximum outputhigher is better
- Input cost per 1M tokenslower is better
- Cached input cost per 1M tokenslower is better
- Output cost per 1M tokenslower is better
Who wins where
- For long documentsGLM-5.3Context window
- Cheaper to readGLM-5Input cost per 1M tokens
- Cheaper to writeGLM-5Output cost per 1M tokens
Data sheet side by side
Performance
SWE-bench accuracy72.8%Not stated
Memory and answer length
Context window200k tokens✓1M tokens400% more
Maximum output128k tokens128k tokens
API prices
Input cost per 1M tokens✓$1.0029% less$1.40
Cached input cost per 1M tokens✓$0.2023% less$0.26
Output cost per 1M tokens✓$3.2027% less$4.40
Size and openness
Parameters744 billion753 billion
Active parameters per token40 billionNot stated
Open weights (downloadable)YesYes
What a month costs
Change the volumes: the cost is worked out from the verified list prices above.
GLM-5$3.60per month · $43.20 per yearThe cheaper one — you save $1.40 per month
GLM-5.3$5.00per month · $60.00 per year
The scenarios are only starting points to edit, not data about your use. List prices without discounts, time-of-day rates or taxes.
Questions and answers
For long documents: GLM-5 or GLM-5.3?
GLM-5.3: 1M tokens against 200k tokens (Context window).
Cheaper to read: GLM-5 or GLM-5.3?
GLM-5: $1.00 against $1.40 (Input cost per 1M tokens).
Cheaper to write: GLM-5 or GLM-5.3?
GLM-5: $3.20 against $4.40 (Output cost per 1M tokens).
