AI model comparison
GLM 5.1 vs Qwen3.6 Plus
Pricing, context window, benchmarks, and features compared side by side. Or skip the guesswork and send one prompt to both.
Z.ai
GLM 5.1
GLM-5.1 delivers a major leap in coding capability, with particularly significant gains in handling long-horizon tasks.
- Input / 1M
- $0.97
- Output / 1M
- $3.04
- Context
- 205K
Qwen
Qwen3.6 Plus
Qwen 3.6 Plus builds on a hybrid architecture that combines efficient linear attention with sparse mixture-of-experts routing, enabling strong scalability and high-performance inference.
- Input / 1M
- $0.33
- Output / 1M
- $1.95
- Context
- 1M
At a glance
Quick verdict
How the two models stack up on the things people ask about most.
Lower price
Qwen3.6 Plus
2.1x cheaper for a typical chat
Higher intelligence score
Qwen3.6 Plus
27 vs 26.1 on Artificial Analysis
Larger context window
Qwen3.6 Plus
1M vs 205K tokens
Newer release
GLM 5.1
Released April 7, 2026
Benchmarks
Benchmark scores
Independent scores from Artificial Analysis. Higher is better.
Intelligence index
Coding index
Agentic index
Pricing
GLM 5.1 vs Qwen3.6 Plus API pricing
Per-token API rates. Cheaper option highlighted.
| Metric | ||
|---|---|---|
| Input tokensPer 1M tokens | $0.97 | $0.33 |
| Output tokensPer 1M tokens | $3.04 | $1.95 |
| Cached input (read)Per 1M tokens | $0.18 | Not available |
| Cache writePer 1M tokens | Not available | $0.41 |
| Long-context pricingPer 1M tokens, for very long prompts | Same rate at any length | $1.30 in / $3.90 out above 256K |
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
Coding task
30K in, 4K out
Long document summary
150K in, 2K out
Specs
Context window and capabilities
How much each model can read, how much it can write, and what it accepts as input.
| Metric | ||
|---|---|---|
| Context window | 205K tokens | 1M tokens |
| Max output | 128K tokens | 66K tokens |
| Input types | Text | Image, Text, Video |
| Output types | Text | Text |
| Reasoning effort levels | Not available | Not available |
| Default reasoning effort | Not available | Not available |
| Release date | April 7, 2026 | April 2, 2026 |
Features
Supported features
API features available for each model.
| Metric | ||
|---|---|---|
| Tool calling | Supported | Supported |
| Structured outputs | Supported | Supported |
| JSON mode | Supported | Supported |
| Reasoning | Supported | Supported |
| Temperature | Supported | Supported |
| Stop sequences | Supported | Supported |
| Deterministic seed | Supported | Supported |
| Verbosity control | Not supported | Not supported |
Our take
Qwen3.6 Plus is 2.1x cheaper for a typical chat. Qwen3.6 Plus scores higher on the Artificial Analysis Intelligence Index (27 vs 26.1). Qwen3.6 Plus has the larger context window (1M 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 5.1 or Qwen3.6 Plus cheaper?
Qwen3.6 Plus is cheaper for a typical chat (2K input tokens and 500 output tokens). Qwen3.6 Plus costs $0.33 per 1M input tokens and $1.95 per 1M output tokens, while GLM 5.1 costs $0.97 per 1M input tokens and $3.04 per 1M output tokens.
Which has a bigger context window, GLM 5.1 or Qwen3.6 Plus?
Qwen3.6 Plus supports up to 1M tokens of context, compared with 205K for GLM 5.1.
Is GLM 5.1 smarter than Qwen3.6 Plus?
On the Artificial Analysis Intelligence Index, GLM 5.1 scores 26.1 and Qwen3.6 Plus scores 27, putting Qwen3.6 Plus ahead. Benchmarks don't capture everything, so the best test is running your own prompts through both.
Can I use GLM 5.1 and Qwen3.6 Plus at the same time?
Yes. Shortcut Chat sends one prompt to multiple models at once, so you can see GLM 5.1 and Qwen3.6 Plus answer side by side and keep the better response.
Why choose? Ask both.
Send one prompt to GLM 5.1 and Qwen3.6 Plus at the same time. Compare the answers side by side and keep the best one.