Model comparison - Open weights vs closed
GLM-5.3 vs GPT-6.1 Sol
GLM-5.3 is from Z.ai and GPT-6.1 Sol is from OpenAI. On list price, GLM-5.3 charges 30% less than GPT-6.1 Sol for input ($1.40 vs $2 per 1M tokens), and GPT-6.1 Sol charges 2.3x GLM-5.3's output price ($10 vs $4.40 per 1M tokens). GLM-5.3 has a 1,000,000-token context window and GPT-6.1 Sol 1,050,000 tokens, and both return up to 128,000 output tokens per response. GLM-5.3 was released on August 18, 2026 and GPT-6.1 Sol on September 29, 2026. GLM-5.3 publishes open weights (GLM-5.3 license (Hugging Face license tag: other)); GPT-6.1 Sol is closed-weights.
Last verified from each provider's pricing page. All sources
Side-by-side specs
| Spec | GLM-5.3 | GPT-6.1 Sol |
|---|---|---|
| Provider | Z.ai | OpenAI |
| Input / 1M tokens | $1.40 | $2 |
| Output / 1M tokens | $4.40 | $10 |
| Cache read / 1M | $0.26 | $0.10 |
| Cache write / 1M | - | $2.50 |
| Batch input / 1M | - | $1 |
| Batch output / 1M | - | $5 |
| Long-context rates above | - | 272,000 tokens |
| Context window | 1,000,000 | 1,050,000 |
| Max output | 128,000 | 128,000 |
| Release date | ||
| Weights | Open | Closed |
| License | GLM-5.3 license (Hugging Face license tag: other) | - |
| API model id | glm-5.3 | gpt-6.1-sol |
| AI Gateway id | zai/glm-5.3 | openai/gpt-6.1-sol |
| 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 | GPT-6.1 Sol |
|---|---|---|
| One agent session1M input tokens and 100K output tokens, no caching. | $1.84 | $3.00 |
| A chat app10,000 requests a day at 2K input and 500 output tokens each. | $50.00$1,500.00 per 30-day month | $90.00$2,700.00 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 | $1.29 |
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
GPT-6.1 Sol
- One agent sessionInput: 1M x $2 = $2.00Output: 0.1M x $10 = $1.00
- A chat appInput: 20M x $2 = $40.00Output: 5M x $10 = $50.00
- The same session at a 90% cache hitCached input: 0.9M x $0.10 = $0.09Uncached input: 0.1M x $2 = $0.20Output: 0.1M x $10 = $1.00
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-5.3 | GPT-6.1 Sol |
|---|---|---|
| LMArena WebDev (Code Arena WebDev Overall)Code Arena WebDev Overall, default leaderboard view (891,922 votes, 145 models)Official leaderboard - arena.ai | 1621+8/-8 | 1755+13/-13 |
Set them up in your tools
Step-by-step guides whose official docs list GLM-5.3 or GPT-6.1 Sol 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 OpenAI in AiderLists GPT-6.1 Sol
- Use OpenAI in ClineLists GPT-6.1 Sol
- Use OpenAI in Codex CLILists GPT-6.1 Sol
- Use OpenAI in ContinueLists GPT-6.1 Sol
- Use OpenAI in GooseLists GPT-6.1 Sol
- Use OpenAI in OpenCodeLists GPT-6.1 Sol
- Use OpenAI in Roo CodeLists GPT-6.1 Sol
- Use OpenAI in ZedLists GPT-6.1 Sol
Model pages
FAQ
How do GLM-5.3 and GPT-6.1 Sol compare on price?
On list price, GLM-5.3 charges 30% less than GPT-6.1 Sol for input ($1.40 vs $2 per 1M tokens), and GPT-6.1 Sol charges 2.3x GLM-5.3's output price ($10 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 $3.00 on GPT-6.1 Sol. 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 GPT-6.1 Sol?
GLM-5.3 has a 1,000,000-token context window and GPT-6.1 Sol 1,050,000 tokens, and both return up to 128,000 output tokens per response.
Are GLM-5.3 and GPT-6.1 Sol open weights?
GLM-5.3's weights are published at huggingface.co under the GLM-5.3 license (Hugging Face license tag: other). GPT-6.1 Sol is closed-weights and is called through OpenAI's API as gpt-6.1-sol.
More comparisons
- Gemini 4 Argon vs GLM-5.3Open weights vs closed
- Gemini 4 Argon vs GPT-6.1 SolSimilar price, same tier
- GLM-5.3 vs Mistral Large 4Similar price, same tier
- Claude Sonnet 5.5 vs GPT-6.1 SolSimilar price, same tier
- Claude Opus 5.5 vs GPT-6.1 SolSimilar price, same tier
- Claude Sonnet 5.5 vs GLM-5.3Open weights vs closed
- GPT-6.1 Sol vs GPT-6 SolSame provider, successor
- Claude Opus 5.5 vs GLM-5.3Open weights vs closed
Sources
GLM-5.3 verified from docs.z.ai; GPT-6.1 Sol verified from developers.openai.com. This page is as current as the older of the two: .
- https://docs.z.ai/guides/overview/pricing
- https://developers.openai.com/api/docs/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://developers.openai.com/api/docs/models/gpt-6.1-sol
- https://developers.openai.com/api/docs/changelog
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