AI model comparison
Qwen3.7 Max vs GLM 5 Turbo
Pricing, context window, benchmarks, and features compared side by side. Or skip the guesswork and send one prompt to both.
Qwen
Qwen3.7 Max
Qwen3.7-Max is the flagship model in Alibaba's Qwen3.7 series.
- Input / 1M
- $1.48
- Output / 1M
- $4.43
- Context
- 1M
Z.ai
GLM 5 Turbo
GLM-5 Turbo is a new model from Z.ai designed for fast inference and strong performance in agent-driven environments such as OpenClaw scenarios.
- Input / 1M
- $1.20
- Output / 1M
- $4
- Context
- 203K
At a glance
Quick verdict
How the two models stack up on the things people ask about most.
Lower price
GLM 5 Turbo
1.2x cheaper for a typical chat
Higher intelligence score
Qwen3.7 Max
29.5 vs 26.6 on Artificial Analysis
Larger context window
Qwen3.7 Max
1M vs 203K tokens
Newer release
Qwen3.7 Max
Released May 21, 2026
Benchmarks
Benchmark scores
Independent scores from Artificial Analysis. Higher is better.
Intelligence index
Qwen3.7 Max29.5Coding index
Qwen3.7 Max66Agentic index
Qwen3.7 Max22.5Pricing
Qwen3.7 Max vs GLM 5 Turbo API pricing
Per-token API rates. Cheaper option highlighted.
| Metric | Qwen3.7 Max | |
|---|---|---|
| Input tokensPer 1M tokens | $1.48 | $1.20 |
| Output tokensPer 1M tokens | $4.43 | $4 |
| Cached input (read)Per 1M tokens | $0.30 | $0.24 |
| Cache writePer 1M tokens | $1.84 | 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
Qwen3.7 Max$5.16Coding task
30K in, 4K out
Qwen3.7 Max$61.95$26.55 cachedLong document summary
150K in, 2K out
Qwen3.7 Max$230.10$53.10 cachedSpecs
Context window and capabilities
How much each model can read, how much it can write, and what it accepts as input.
| Metric | Qwen3.7 Max | |
|---|---|---|
| Context window | 1M tokens | 203K tokens |
| Max output | 131K tokens | 131K tokens |
| Input types | Text | Text |
| Output types | Text | Text |
| Reasoning effort levels | Not available | Not available |
| Default reasoning effort | Not available | Not available |
| Release date | May 21, 2026 | March 15, 2026 |
Features
Supported features
API features available for each model.
| Metric | Qwen3.7 Max | |
|---|---|---|
| Tool calling | Supported | Supported |
| Structured outputs | Supported | Not supported |
| JSON mode | Supported | Supported |
| Reasoning | Supported | Supported |
| Temperature | Supported | Supported |
| Stop sequences | Supported | Not supported |
| Deterministic seed | Supported | Not 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.
Our take
GLM 5 Turbo is 1.2x cheaper for a typical chat. Qwen3.7 Max scores higher on the Artificial Analysis Intelligence Index (29.5 vs 26.6). Qwen3.7 Max has the larger context window (1M vs 203K 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 Qwen3.7 Max or GLM 5 Turbo cheaper?
GLM 5 Turbo is cheaper for a typical chat (2K input tokens and 500 output tokens). GLM 5 Turbo costs $1.20 per 1M input tokens and $4 per 1M output tokens, while Qwen3.7 Max costs $1.48 per 1M input tokens and $4.43 per 1M output tokens.
Which has a bigger context window, Qwen3.7 Max or GLM 5 Turbo?
Qwen3.7 Max supports up to 1M tokens of context, compared with 203K for GLM 5 Turbo.
Is Qwen3.7 Max smarter than GLM 5 Turbo?
On the Artificial Analysis Intelligence Index, Qwen3.7 Max scores 29.5 and GLM 5 Turbo scores 26.6, putting Qwen3.7 Max ahead. Benchmarks don't capture everything, so the best test is running your own prompts through both.
Can I use Qwen3.7 Max and GLM 5 Turbo at the same time?
Yes. Shortcut Chat sends one prompt to multiple models at once, so you can see Qwen3.7 Max and GLM 5 Turbo answer side by side and keep the better response.
Why choose? Ask both.
Send one prompt to Qwen3.7 Max and GLM 5 Turbo at the same time. Compare the answers side by side and keep the best one.