Model comparison - Similar price, same tier
GLM-5.3 vs Mistral Large 4
GLM-5.3 is from Z.ai and Mistral Large 4 is from Mistral AI. On list price, Mistral Large 4 charges 3% less than GLM-5.3 for input ($1.36 vs $1.40 per 1M tokens), and Mistral Large 4 charges 5% less than GLM-5.3 for output ($4.18 vs $4.40 per 1M tokens). GLM-5.3 and Mistral Large 4 both have a 1,000,000-token context window; GLM-5.3 returns up to 128,000 output tokens per response, and no primary source states a max output for Mistral Large 4. GLM-5.3 was released on August 18, 2026 and Mistral Large 4 on October 5, 2026. GLM-5.3 publishes open weights (GLM-5.3 license (Hugging Face license tag: other)); Mistral Large 4 is closed-weights.
Last verified from each provider's pricing page. All sources
Side-by-side specs
| Spec | GLM-5.3 | Mistral Large 4 |
|---|---|---|
| Provider | Z.ai | Mistral AI |
| Input / 1M tokens | $1.40 | $1.36 |
| Output / 1M tokens | $4.40 | $4.18 |
| Cache read / 1M | $0.26 | $0.14 |
| Batch input / 1M | - | $0.68 |
| Batch output / 1M | - | $2.09 |
| Context window | 1,000,000 | 1,000,000 |
| Max output | 128,000 | - |
| Release date | ||
| Weights | Open | Closed |
| License | GLM-5.3 license (Hugging Face license tag: other) | - |
| API model id | glm-5.3 | mistral-large-4 |
| AI Gateway id | zai/glm-5.3 | mistral/mistral-large-4 |
| 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 | Mistral Large 4 |
|---|---|---|
| One agent session1M input tokens and 100K output tokens, no caching. | $1.84 | $1.78 |
| A chat app10,000 requests a day at 2K input and 500 output tokens each. | $50.00$1,500.00 per 30-day month | $48.10$1,443.00 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 | $0.68 |
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
Mistral Large 4
- One agent sessionInput: 1M x $1.36 = $1.36Output: 0.1M x $4.18 = $0.418
- A chat appInput: 20M x $1.36 = $27.20Output: 5M x $4.18 = $20.90
- The same session at a 90% cache hitCached input: 0.9M x $0.14 = $0.126Uncached input: 0.1M x $1.36 = $0.136Output: 0.1M x $4.18 = $0.418
Benchmarks under the same setting
No board in the benchmark directory lists both GLM-5.3 and Mistral Large 4 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 Mistral Large 4 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
Model pages
FAQ
How do GLM-5.3 and Mistral Large 4 compare on price?
On list price, Mistral Large 4 charges 3% less than GLM-5.3 for input ($1.36 vs $1.40 per 1M tokens), and Mistral Large 4 charges 5% less than GLM-5.3 for output ($4.18 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 $1.78 on Mistral Large 4. 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 Mistral Large 4?
GLM-5.3 and Mistral Large 4 both have a 1,000,000-token context window; GLM-5.3 returns up to 128,000 output tokens per response, and no primary source states a max output for Mistral Large 4.
Are GLM-5.3 and Mistral Large 4 open weights?
GLM-5.3's weights are published at huggingface.co under the GLM-5.3 license (Hugging Face license tag: other). Mistral Large 4 is closed-weights and is called through Mistral AI's API as mistral-large-4.
More comparisons
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- Claude Sonnet 5.5 vs GLM-5.3Open weights vs closed
- DeepSeek V4 Pro vs Mistral Large 4Similar price, same tier
- Claude Opus 5.5 vs GLM-5.3Open weights vs closed
- GPT-5.4 Mini vs Mistral Large 4Similar price, same tier
Sources
GLM-5.3 verified from docs.z.ai; Mistral Large 4 verified from docs.mistral.ai. This page is as current as the older of the two: .
- https://docs.z.ai/guides/overview/pricing
- https://docs.mistral.ai/inference/pricing
- 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://docs.mistral.ai/models/mistral-large-4-0
- https://docs.mistral.ai/resources/changelogs
- https://docs.mistral.ai/models
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