AI model comparison
GPT-5.1-Codex-Mini vs GLM 4.6
Pricing, context window, benchmarks, and features compared side by side. Or skip the guesswork and send one prompt to both.
OpenAI
GPT-5.1-Codex-Mini
GPT-5.1-Codex-Mini is a smaller and faster version of GPT-5.1-Codex
- Input / 1M
- $0.25
- Output / 1M
- $2
- Context
- 400K
Z.ai
GLM 4.6
Compared with GLM-4.5, this generation brings several key improvements: Longer context window: The context window has been expanded from 128K to 200K tokens, enabling the model to handle more complex
- Input / 1M
- $0.43
- Output / 1M
- $1.75
- Context
- 205K
At a glance
Quick verdict
How the two models stack up on the things people ask about most.
Lower price
GPT-5.1-Codex-Mini
1.2x cheaper for a typical chat
Higher intelligence score
GPT-5.1-Codex-Mini
20.4 vs 18.5 on Artificial Analysis
Larger context window
GPT-5.1-Codex-Mini
400K vs 205K tokens
Newer release
GPT-5.1-Codex-Mini
Released November 13, 2025
Benchmarks
Benchmark scores
Independent scores from Artificial Analysis. Higher is better.
Intelligence index
GPT-5.1-Codex-Mini20.4Coding index
GPT-5.1-Codex-MiniNot availableAgentic index
GPT-5.1-Codex-MiniNot availablePricing
GPT-5.1-Codex-Mini vs GLM 4.6 API pricing
Per-token API rates. Cheaper option highlighted.
| Metric | GPT-5.1-Codex-Mini | |
|---|---|---|
| Input tokensPer 1M tokens | $0.25 | $0.43 |
| Output tokensPer 1M tokens | $2 | $1.75 |
| Cached input (read)Per 1M tokens | $0.03 | $0.08 |
| Cache writePer 1M tokens | Not available | Not available |
| Web searchPer request | $0.01 | Not available |
What it costs in practice
Estimated cost per 1,000 requests at standard rates. Coding and long-document figures also show the cost when the input is already cached.
Chat message
2K in, 500 out
GPT-5.1-Codex-Mini$1.50Coding task
30K in, 4K out
GPT-5.1-Codex-Mini$15.50$8.90 cachedLong document summary
150K in, 2K out
GPT-5.1-Codex-Mini$41.50$8.50 cachedSpecs
Context window and capabilities
How much each model can read, how much it can write, and what it accepts as input.
| Metric | GPT-5.1-Codex-Mini | |
|---|---|---|
| Context window | 400K tokens | 205K tokens |
| Max output | 128K tokens | 16K tokens |
| Input types | Image, Text | Text |
| Output types | Text | Text |
| Reasoning effort levels | High, Medium, Low | Not available |
| Default reasoning effort | Medium | Not available |
| Release date | November 13, 2025 | September 30, 2025 |
Features
Supported features
API features available for each model.
| Metric | GPT-5.1-Codex-Mini | |
|---|---|---|
| Tool calling | Supported | Supported |
| Structured outputs | Supported | Supported |
| JSON mode | Supported | Supported |
| Reasoning | Supported | Supported |
| Temperature | Not supported | Supported |
| Stop sequences | Not supported | Supported |
| Deterministic seed | Supported | Supported |
| Verbosity control | Supported | Not supported |
Keep exploring
More on these models
Other head-to-heads, the full model page, and the alternatives list for each model.
GPT-5.1-Codex-MiniView full model details- GPT-5.1-Codex-Mini vs DeepSeek V4 Flash 0423
- GPT-5.1-Codex-Mini vs GPT-5.4 Mini
- GPT-5.1-Codex-Mini vs Nemotron 3 Ultra
- GPT-5.1-Codex-Mini vs Gemini 3.5 Flash Lite
- GPT-5.1-Codex-Mini vs GLM 4.7
- GPT-5.1-Codex-Mini vs Qwen3.5 397B A17B
- GPT-5.1-Codex-Mini vs GPT-5.4 Nano
- GPT-5.1-Codex-Mini vs GPT-5 Mini
- GPT-5.1-Codex-Mini vs o3
- GPT-5.1-Codex-Mini vs Step 3.7 Flash
- GLM 4.6 vs DeepSeek V4 Flash 0423
- GLM 4.6 vs Gemini 3.1 Flash Lite
- GLM 4.6 vs Gemini 2.5 Flash
- GLM 4.6 vs GLM 4.7
- GLM 4.6 vs Claude Haiku 4.5
- GLM 4.6 vs GPT-5 Mini
- GLM 4.6 vs GLM 5.3 FlashX
- GLM 4.6 vs Step 3.7 Flash
- GLM 4.6 vs LongCat 2.0
- GLM 4.6 vs MiniMax M2
- GLM 4.6 vs Qwen3.6 35B A3B
- GLM 4.6 vs Qwen3.5-122B-A10B
- GLM 4.6 vs Muse Glimmer 30B
Our take
GPT-5.1-Codex-Mini is 1.2x cheaper for a typical chat. GPT-5.1-Codex-Mini scores higher on the Artificial Analysis Intelligence Index (20.4 vs 18.5). GPT-5.1-Codex-Mini has the larger context window (400K vs 205K tokens). The right pick depends on your workload, so the quickest way to settle it is to send the same prompt to both and compare.
FAQ
Frequently asked questions
Is GPT-5.1-Codex-Mini or GLM 4.6 cheaper?
GPT-5.1-Codex-Mini is cheaper for a typical chat (2K input tokens and 500 output tokens). GPT-5.1-Codex-Mini costs $0.25 per 1M input tokens and $2 per 1M output tokens, while GLM 4.6 costs $0.43 per 1M input tokens and $1.75 per 1M output tokens.
Which has a bigger context window, GPT-5.1-Codex-Mini or GLM 4.6?
GPT-5.1-Codex-Mini supports up to 400K tokens of context, compared with 205K for GLM 4.6.
Is GPT-5.1-Codex-Mini smarter than GLM 4.6?
On the Artificial Analysis Intelligence Index, GPT-5.1-Codex-Mini scores 20.4 and GLM 4.6 scores 18.5, putting GPT-5.1-Codex-Mini ahead. Benchmarks don't capture everything, so the best test is running your own prompts through both.
Can I use GPT-5.1-Codex-Mini and GLM 4.6 at the same time?
Yes. Shortcut Chat sends one prompt to multiple models at once, so you can see GPT-5.1-Codex-Mini and GLM 4.6 answer side by side and keep the better response.
Why choose? Ask both.
Send one prompt to GPT-5.1-Codex-Mini and GLM 4.6 at the same time. Compare the answers side by side and keep the best one.