Model comparison - Same provider, successor
GLM-5.2 vs GLM-5.3
GLM-5.2 and GLM-5.3 are both Z.ai models. Both list the same first-party API price: $1.40 per 1M input tokens and $4.40 per 1M output tokens. GLM-5.2 and GLM-5.3 both have a 1,000,000-token context window, and both return up to 128,000 output tokens per response. GLM-5.2 was released on June 16, 2026 and GLM-5.3 on August 18, 2026. Both publish open weights.
Last verified from each provider's pricing page. All sources
Side-by-side specs
| Spec | GLM-5.2 | GLM-5.3 |
|---|---|---|
| Provider | Z.ai | Z.ai |
| Input / 1M tokens | $1.40 | $1.40 |
| Output / 1M tokens | $4.40 | $4.40 |
| Cache read / 1M | $0.26 | $0.26 |
| Context window | 1,000,000 | 1,000,000 |
| Max output | 128,000 | 128,000 |
| Release date | ||
| Weights | Open | Open |
| License | MIT | GLM-5.3 license (Hugging Face license tag: other) |
| API model id | glm-5.2 | glm-5.3 |
| AI Gateway id | zai/glm-5.2 | zai/glm-5.3 |
| Last verified |
Prices in USD per 1M tokens at each provider's standard first-party rate. A dash means the provider does not bill that item separately or no primary page states it.
What each costs in practice
The same three workloads every model page uses, worked from each model's standard list rates. Swap in your own token counts with the math on each model's page.
| Workload | GLM-5.2 | GLM-5.3 |
|---|---|---|
| One agent session1M input tokens and 100K output tokens, no caching. | $1.84 | $1.84 |
| A chat app10,000 requests a day at 2K input and 500 output tokens each. | $50.00$1,500.00 per 30-day month | $50.00$1,500.00 per 30-day month |
| The same session at a 90% cache hit90% of the input is read from the prompt cache. The one-time cache write premium is not included. | $0.814 | $0.814 |
Show the math
GLM-5.2
- One agent sessionInput: 1M x $1.40 = $1.40Output: 0.1M x $4.40 = $0.44
- A chat appInput: 20M x $1.40 = $28.00Output: 5M x $4.40 = $22.00
- The same session at a 90% cache hitCached input: 0.9M x $0.26 = $0.234Uncached input: 0.1M x $1.40 = $0.14Output: 0.1M x $4.40 = $0.44
GLM-5.3
- One agent sessionInput: 1M x $1.40 = $1.40Output: 0.1M x $4.40 = $0.44
- A chat appInput: 20M x $1.40 = $28.00Output: 5M x $4.40 = $22.00
- The same session at a 90% cache hitCached input: 0.9M x $0.26 = $0.234Uncached input: 0.1M x $1.40 = $0.14Output: 0.1M x $4.40 = $0.44
Benchmarks under the same setting
Only boards that list both models under the same run setting appear here, one row per board and setting, with each score exactly as the board shows it. Scores on different boards use different scales and are never combined.
| Board and setting | GLM-5.2 | GLM-5.3 |
|---|---|---|
| DeepSWE v1.1mini-swe-agent, max effort, Pass@1, v1.1 (113 tasks), best effort level shownOfficial leaderboard - deepswe.datacurve.ai | 44%±2% | 69%±3% |
Set them up in your tools
Step-by-step guides whose official docs list GLM-5.2 or GLM-5.3 by model id.
- Use GLM in AiderLists GLM-5.3
- Use GLM in Claude CodeLists GLM-5.3
- Use GLM in ClineLists GLM-5.3
- Use GLM in Codex CLILists GLM-5.3
- Use GLM in ContinueLists GLM-5.3
- Use GLM in CursorLists GLM-5.2 and GLM-5.3
- Use GLM in GooseLists GLM-5.3
- Use GLM in Kilo CodeLists GLM-5.3
- Use GLM in OpenCodeLists GLM-5.3
- Use GLM in Roo CodeLists GLM-5.3
- Use GLM in ZedLists GLM-5.3
Model pages
FAQ
How do GLM-5.2 and GLM-5.3 compare on price?
Both list the same first-party API price: $1.40 per 1M input tokens and $4.40 per 1M output tokens. For one agent session of 1M input and 100K output tokens with no caching, that is $1.84 on GLM-5.2 and $1.84 on GLM-5.3. Prices are each provider's first-party list rates, verified October 17, 2026 and October 17, 2026.
What are the context windows of GLM-5.2 and GLM-5.3?
GLM-5.2 and GLM-5.3 both have a 1,000,000-token context window, and both return up to 128,000 output tokens per response.
Are GLM-5.2 and GLM-5.3 open weights?
GLM-5.2's weights are published at huggingface.co under the MIT. GLM-5.3's weights are published at huggingface.co under the GLM-5.3 license (Hugging Face license tag: other).
More comparisons
- Gemini 4 Argon vs GLM-5.3Open weights vs closed
- GLM-5.1 vs GLM-5.2Same provider, successor
- GLM-5.3 vs Mistral Large 4Similar price, same tier
- GLM-5.3 vs GPT-6.1 SolOpen weights vs closed
- Claude Sonnet 5.5 vs GLM-5.3Open weights vs closed
- Claude Opus 5.5 vs GLM-5.3Open weights vs closed
- Gemini 3.8 Flash vs GLM-5.3Similar price, same tier
- GLM-5.3 vs Grok Build 0.1Similar price, same tier
Sources
GLM-5.2 verified from docs.z.ai; GLM-5.3 verified from docs.z.ai. This page is as current as the older of the two: .
- https://docs.z.ai/guides/overview/pricing
- https://docs.z.ai/guides/llm/glm-5.2
- https://docs.z.ai/release-notes/new-released
- https://docs.z.ai/openapi.json
- https://huggingface.co/zai-org/GLM-5.2
- https://ai-gateway.vercel.sh/v1/models
- https://docs.z.ai/guides/llm/glm-5.3
- https://huggingface.co/zai-org/GLM-5.3
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