Comparison · AI Models & LLMs
Claude Opus 4.5 vs GLM-5
The same method as our rankings: scores from the engine, sourced data, verified prices.
Details: Claude Opus 4.5 →Details: GLM-5 →

Claude Opus 4.5
Anthropic
Full sheet →- SWE-bench accuracy
- 79.2%
- Input cost per 1M tokens
- $5.00
- Output cost per 1M tokens
- $25.00
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
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.
- SWE-bench accuracyhigher 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 codingClaude Opus 4.5SWE-bench accuracy
- Cheaper to readGLM-5Input cost per 1M tokens
- Cheaper to writeGLM-5Output cost per 1M tokens
GLM-5: open weights (downloadable)
Data sheet side by side
Performance
Memory and answer length
API prices
Size and openness
What a month costs
Change the volumes: the cost is worked out from the verified list prices above.
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 coding: Claude Opus 4.5 or GLM-5?
Claude Opus 4.5: 79.2% against 72.8% (SWE-bench accuracy).
Cheaper to read: Claude Opus 4.5 or GLM-5?
GLM-5: $1.00 against $5.00 (Input cost per 1M tokens).
Cheaper to write: Claude Opus 4.5 or GLM-5?
GLM-5: $3.20 against $25.00 (Output cost per 1M tokens).
