AI model comparison
GLM 4.6V vs GPT-4.1 Mini
Pricing, context window, benchmarks, and features compared side by side. Or skip the guesswork and send one prompt to both.
Z.ai
GLM 4.6V
GLM-4.6V is a large multimodal model designed for high-fidelity visual understanding and long-context reasoning across images, documents, and mixed media.
- Input / 1M
- $0.30
- Output / 1M
- $0.90
- Context
- 131K
OpenAI
GPT-4.1 Mini
GPT-4.1 Mini is a mid-sized model delivering performance competitive with GPT-4o at substantially lower latency and cost.
- Input / 1M
- $0.40
- Output / 1M
- $1.60
- Context
- 1.05M
At a glance
Quick verdict
How the two models stack up on the things people ask about most.
Lower price
GLM 4.6V
1.5x cheaper for a typical chat
Higher intelligence score
GLM 4.6V
11.2 vs 10.2 on Artificial Analysis
Larger context window
GPT-4.1 Mini
1.05M vs 131K tokens
Newer release
GLM 4.6V
Released December 8, 2025
Benchmarks
Benchmark scores
Independent scores from Artificial Analysis. Higher is better.
Intelligence index
GPT-4.1 Mini10.2Coding index
GPT-4.1 Mini20.2Agentic index
GPT-4.1 MiniNot availablePricing
GLM 4.6V vs GPT-4.1 Mini API pricing
Per-token API rates. Cheaper option highlighted.
| Metric | GPT-4.1 Mini | |
|---|---|---|
| Input tokensPer 1M tokens | $0.30 | $0.40 |
| Output tokensPer 1M tokens | $0.90 | $1.60 |
| Cached input (read)Per 1M tokens | $0.06 | $0.10 |
| 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-4.1 Mini$1.60Coding task
30K in, 4K out
GPT-4.1 Mini$18.40$9.40 cachedLong document summary
150K in, 2K out
GPT-4.1 Mini$63.20$18.20 cachedSpecs
Context window and capabilities
How much each model can read, how much it can write, and what it accepts as input.
| Metric | GPT-4.1 Mini | |
|---|---|---|
| Context window | 131K tokens | 1.05M tokens |
| Max output | 33K tokens | 33K tokens |
| Input types | Image, Text, Video | File, Image, Text |
| Output types | Text | Text |
| Reasoning effort levels | Not available | Not available |
| Default reasoning effort | Not available | Not available |
| Release date | December 8, 2025 | April 14, 2025 |
Features
Supported features
API features available for each model.
| Metric | GPT-4.1 Mini | |
|---|---|---|
| Tool calling | Supported | Supported |
| Structured outputs | Not supported | Supported |
| JSON mode | Supported | Supported |
| Reasoning | Supported | Not supported |
| Temperature | Supported | Supported |
| Stop sequences | Supported | Not supported |
| Deterministic seed | Supported | Supported |
| Verbosity control | Not supported | Not supported |
Keep exploring
More on these models
Other head-to-heads, the full model page, and the alternatives list for each model.
- GLM 4.6V vs DeepSeek V3.1
- GLM 4.6V vs GLM 4.5
- GLM 4.6V vs Qwen3 235B A22B Instruct 2507
- GLM 4.6V vs Qwen3 Coder 480B A35B
- GLM 4.6V vs Mistral Small 4
- GLM 4.6V vs Qwen3 Next 80B A3B Thinking
- GLM 4.6V vs GLM 4.5 Air
- GLM 4.6V vs Trinity Large Thinking
- GLM 4.6V vs Gemini 2.5 Flash Lite
- GLM 4.6V vs DeepSeek V3 0324
- GLM 4.6V vs Qwen3 Next 80B A3B Instruct
GPT-4.1 MiniView full model details- GPT-4.1 Mini vs Gemini 2.5 Flash Lite
- GPT-4.1 Mini vs GPT-4o-mini
- GPT-4.1 Mini vs GPT-5.6 Luna Pro
- GPT-4.1 Mini vs Qwen3 Next 80B A3B Instruct
- GPT-4.1 Mini vs DeepSeek V3 0324
- GPT-4.1 Mini vs Qwen3 VL 235B A22B Instruct
- GPT-4.1 Mini vs GLM 4.5 Air
- GPT-4.1 Mini vs Mistral Medium 3.1
- GPT-4.1 Mini vs Devstral 2 2512
- GPT-4.1 Mini vs Kimi K2 0711
- GPT-4.1 Mini vs o3 Mini
- GPT-4.1 Mini vs MiniMax M1
- GPT-4.1 Mini vs R1
- GPT-4.1 Mini vs Sonar
- GPT-4.1 Mini vs Qwen3 Next 80B A3B Thinking
- GPT-4.1 Mini vs o3 Mini High
- GPT-4.1 Mini vs Trinity Large Thinking
- GPT-4.1 Mini vs GPT-4o (2024-08-06)
- GPT-4.1 Mini vs Mistral Large 3 2512
- GPT-4.1 Mini vs Mistral Medium 3
- GPT-4.1 Mini vs GPT-4o (2024-11-20)
- GPT-4.1 Mini vs GLM 4.5V
- GPT-4.1 Mini vs Hermes 4 405B
- GPT-4.1 Mini vs Nova Pro 1.0
- GPT-4.1 Mini vs GPT-3.5 Turbo
Our take
GLM 4.6V is 1.5x cheaper for a typical chat. GLM 4.6V scores higher on the Artificial Analysis Intelligence Index (11.2 vs 10.2). GPT-4.1 Mini has the larger context window (1.05M vs 131K 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 4.6V or GPT-4.1 Mini cheaper?
GLM 4.6V is cheaper for a typical chat (2K input tokens and 500 output tokens). GLM 4.6V costs $0.30 per 1M input tokens and $0.90 per 1M output tokens, while GPT-4.1 Mini costs $0.40 per 1M input tokens and $1.60 per 1M output tokens.
Which has a bigger context window, GLM 4.6V or GPT-4.1 Mini?
GPT-4.1 Mini supports up to 1.05M tokens of context, compared with 131K for GLM 4.6V.
Is GLM 4.6V smarter than GPT-4.1 Mini?
On the Artificial Analysis Intelligence Index, GLM 4.6V scores 11.2 and GPT-4.1 Mini scores 10.2, putting GLM 4.6V ahead. Benchmarks don't capture everything, so the best test is running your own prompts through both.
Can I use GLM 4.6V and GPT-4.1 Mini at the same time?
Yes. Shortcut Chat sends one prompt to multiple models at once, so you can see GLM 4.6V and GPT-4.1 Mini answer side by side and keep the better response.
Why choose? Ask both.
Send one prompt to GLM 4.6V and GPT-4.1 Mini at the same time. Compare the answers side by side and keep the best one.