AI model comparison
GLM 4.7 vs GPT-5.1-Codex-Mini
Pricing, context window, benchmarks, and features compared side by side. Or skip the guesswork and send one prompt to both.
Z.ai
GLM 4.7
GLM-4.7 is Z.ai’s latest flagship model, featuring upgrades in two key areas: enhanced programming capabilities and more stable multi-step reasoning/execution.
GLM 4.7 is scheduled to be retired on December 31, 2026. Consider GLM 5.3 instead.
- Input / 1M
- $0.60
- Output / 1M
- $2.20
- Context
- 205K
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
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
1.5x cheaper for a typical chat
Higher intelligence score
GLM 4.7
22.2 vs 20.4 on Artificial Analysis
Larger context window
GPT-5.1-Codex-Mini
400K vs 205K tokens
Newer release
GLM 4.7
Released December 22, 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
GLM 4.7 vs GPT-5.1-Codex-Mini API pricing
Per-token API rates. Cheaper option highlighted.
| Metric | GPT-5.1-Codex-Mini | |
|---|---|---|
| Input tokensPer 1M tokens | $0.60 | $0.25 |
| Output tokensPer 1M tokens | $2.20 | $2 |
| Cached input (read)Per 1M tokens | $0.11 | $0.03 |
| Cache writePer 1M tokens | Not available | Not available |
| Web searchPer request | Not available | $0.01 |
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 | 205K tokens | 400K tokens |
| Max output | 131K tokens | 128K tokens |
| Input types | Text | Image, Text |
| Output types | Text | Text |
| Reasoning effort levels | Not available | High, Medium, Low |
| Default reasoning effort | Not available | Medium |
| Release date | December 22, 2025 | November 13, 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 | Supported | Not supported |
| Stop sequences | Supported | Not supported |
| Deterministic seed | Supported | Supported |
| Verbosity control | Not supported | Supported |
Keep exploring
More on these models
Other head-to-heads, the full model page, and the alternatives list for each model.
- GLM 4.7 vs DeepSeek V4 Flash 0423
- GLM 4.7 vs GLM 5
- GLM 4.7 vs GLM 5.1
- GLM 4.7 vs Gemini 3.5 Flash Lite
- GLM 4.7 vs Kimi K2.5
- GLM 4.7 vs GLM 5V Turbo
- GLM 4.7 vs Nemotron 3 Ultra
- GLM 4.7 vs Qwen3.5-27B
- GLM 4.7 vs Kimi K2 Thinking
- GLM 4.7 vs Qwen3.5 397B A17B
- GLM 4.7 vs GPT-5 Mini
- GLM 4.7 vs Qwen3.6 27B
- GLM 4.7 vs GLM 4.6
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 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
- GPT-5.1-Codex-Mini vs GLM 4.6
Our take
GPT-5.1-Codex-Mini is 1.5x cheaper for a typical chat. GLM 4.7 scores higher on the Artificial Analysis Intelligence Index (22.2 vs 20.4). 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 GLM 4.7 or GPT-5.1-Codex-Mini 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 4.7 costs $0.60 per 1M input tokens and $2.20 per 1M output tokens.
Which has a bigger context window, GLM 4.7 or GPT-5.1-Codex-Mini?
GPT-5.1-Codex-Mini supports up to 400K tokens of context, compared with 205K for GLM 4.7.
Is GLM 4.7 smarter than GPT-5.1-Codex-Mini?
On the Artificial Analysis Intelligence Index, GLM 4.7 scores 22.2 and GPT-5.1-Codex-Mini scores 20.4, putting GLM 4.7 ahead. Benchmarks don't capture everything, so the best test is running your own prompts through both.
Can I use GLM 4.7 and GPT-5.1-Codex-Mini at the same time?
Yes. Shortcut Chat sends one prompt to multiple models at once, so you can see GLM 4.7 and GPT-5.1-Codex-Mini answer side by side and keep the better response.
Why choose? Ask both.
Send one prompt to GLM 4.7 and GPT-5.1-Codex-Mini at the same time. Compare the answers side by side and keep the best one.