Model comparison - Similar price, same tier
GLM-5.3 vs Kimi K2.7 Code
GLM-5.3 is from Z.ai and Kimi K2.7 Code is from Moonshot AI. On list price, Kimi K2.7 Code charges 32% less than GLM-5.3 for input ($0.95 vs $1.40 per 1M tokens), and Kimi K2.7 Code charges 9% less than GLM-5.3 for output ($4 vs $4.40 per 1M tokens). GLM-5.3 has a 1,000,000-token context window and Kimi K2.7 Code 262,144 tokens; GLM-5.3 returns up to 128,000 output tokens per response, and no primary source states a max output for Kimi K2.7 Code. GLM-5.3 was released on August 18, 2026; no primary source states a release date for Kimi K2.7 Code. Both publish open weights.
Last verified from each provider's pricing page. All sources
Side-by-side specs
| Spec | GLM-5.3 | Kimi K2.7 Code |
|---|---|---|
| Provider | Z.ai | Moonshot AI |
| Input / 1M tokens | $1.40 | $0.95 |
| Output / 1M tokens | $4.40 | $4 |
| Cache read / 1M | $0.26 | $0.19 |
| Batch input / 1M | - | $0.57 |
| Batch output / 1M | - | $2.40 |
| Context window | 1,000,000 | 262,144 |
| Max output | 128,000 | - |
| Release date | - | |
| Weights | Open | Open |
| License | GLM-5.3 license (Hugging Face license tag: other) | Modified MIT License (Hugging Face license tag: other) |
| API model id | glm-5.3 | kimi-k2.7-code |
| AI Gateway id | zai/glm-5.3 | moonshotai/kimi-k2.7-code |
| 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-5.3 | Kimi K2.7 Code |
|---|---|---|
| One agent session1M input tokens and 100K output tokens, no caching. | $1.84 | $1.35 |
| A chat app10,000 requests a day at 2K input and 500 output tokens each. | $50.00$1,500.00 per 30-day month | $39.00$1,170.00 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 | $0.666 |
Show the math
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
Kimi K2.7 Code
- One agent sessionInput: 1M x $0.95 = $0.95Output: 0.1M x $4 = $0.40
- A chat appInput: 20M x $0.95 = $19.00Output: 5M x $4 = $20.00
- The same session at a 90% cache hitCached input: 0.9M x $0.19 = $0.171Uncached input: 0.1M x $0.95 = $0.095Output: 0.1M x $4 = $0.40
Benchmarks under the same setting
No board in the benchmark directory lists both GLM-5.3 and Kimi K2.7 Code under the same setting, so there is no like-for-like score to show here.
Set them up in your tools
Step-by-step guides whose official docs list GLM-5.3 or Kimi K2.7 Code 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-5.3
- 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
- Use Kimi in Claude CodeLists Kimi K2.7 Code
- Use Kimi in ClineLists Kimi K2.7 Code
- Use Kimi in ContinueLists Kimi K2.7 Code
- Use Kimi in GooseLists Kimi K2.7 Code
- Use Kimi in OpenCodeLists Kimi K2.7 Code
- Use Kimi in ZedLists Kimi K2.7 Code
Model pages
FAQ
How do GLM-5.3 and Kimi K2.7 Code compare on price?
On list price, Kimi K2.7 Code charges 32% less than GLM-5.3 for input ($0.95 vs $1.40 per 1M tokens), and Kimi K2.7 Code charges 9% less than GLM-5.3 for output ($4 vs $4.40 per 1M tokens). For one agent session of 1M input and 100K output tokens with no caching, that is $1.84 on GLM-5.3 and $1.35 on Kimi K2.7 Code. Prices are each provider's first-party list rates, verified October 17, 2026 and October 17, 2026.
What are the context windows of GLM-5.3 and Kimi K2.7 Code?
GLM-5.3 has a 1,000,000-token context window and Kimi K2.7 Code 262,144 tokens; GLM-5.3 returns up to 128,000 output tokens per response, and no primary source states a max output for Kimi K2.7 Code.
Are GLM-5.3 and Kimi K2.7 Code open weights?
GLM-5.3's weights are published at huggingface.co under the GLM-5.3 license (Hugging Face license tag: other). Kimi K2.7 Code's weights are published at huggingface.co under the Modified MIT License (Hugging Face license tag: other).
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Sources
GLM-5.3 verified from docs.z.ai; Kimi K2.7 Code verified from platform.kimi.ai. This page is as current as the older of the two: .
- https://docs.z.ai/guides/overview/pricing
- https://platform.kimi.ai/docs/pricing/chat
- https://docs.z.ai/guides/llm/glm-5.3
- https://docs.z.ai/release-notes/new-released
- https://docs.z.ai/openapi.json
- https://huggingface.co/zai-org/GLM-5.3
- https://ai-gateway.vercel.sh/v1/models
- https://platform.kimi.ai/docs/guide/kimi-k2-7-code-quickstart
- https://platform.kimi.ai/docs/models.md
- https://platform.kimi.ai/docs/pricing/batch.md
- https://platform.kimi.ai/docs/platform-changelog.md
- https://huggingface.co/moonshotai/Kimi-K2.7-Code
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