AI model comparison
GLM 5.2 vs Qwen3.7 Max
Pricing, context window, benchmarks, and features compared side by side. Or skip the guesswork and send one prompt to both.
Z.ai
GLM 5.2
GLM 5.2 is a large-scale reasoning model from Z.ai.
- Input / 1M
- $0.06
- Output / 1M
- $8
- Context
- 1.05M
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
At a glance
Quick verdict
How the two models stack up on the things people ask about most.
Lower price
GLM 5.2
1.3x cheaper for a typical chat
Higher intelligence score
GLM 5.2
33.7 vs 29.5 on Artificial Analysis
Larger context window
GLM 5.2
1.05M vs 1M tokens
Newer release
GLM 5.2
Released June 16, 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
GLM 5.2 vs Qwen3.7 Max API pricing
Per-token API rates. Cheaper option highlighted.
| Metric | Qwen3.7 Max | |
|---|---|---|
| Input tokensPer 1M tokens | $0.06 | $1.48 |
| Output tokensPer 1M tokens | $8 | $4.43 |
| Cached input (read)Per 1M tokens | $0.06 | $0.30 |
| Cache writePer 1M tokens | Not available | $1.84 |
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 | 1.05M tokens | 1M tokens |
| Max output | 944K tokens | 131K tokens |
| Input types | Text | Text |
| Output types | Text | Text |
| Reasoning effort levels | Extra high, High | Not available |
| Default reasoning effort | High | Not available |
| Release date | June 16, 2026 | May 21, 2026 |
Features
Supported features
API features available for each model.
| Metric | Qwen3.7 Max | |
|---|---|---|
| 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 |
Keep exploring
More on these models
Other head-to-heads, the full model page, and the alternatives list for each model.
- GLM 5.2 vs DeepSeek V4.1 Flash
- GLM 5.2 vs DeepSeek V4 Flash 0731
- GLM 5.2 vs GLM 5.3
- GLM 5.2 vs DeepSeek V4 Pro 0813
- GLM 5.2 vs Claude Sonnet 5
- GLM 5.2 vs Qwen3.8 27B
- GLM 5.2 vs Grok 4.5
- GLM 5.2 vs Claude Sonnet 4.6
- GLM 5.2 vs Gemini 3.6 Flash
- GLM 5.2 vs Muse Spark 1.1
- GLM 5.2 vs Gemini 3.5 Flash
- GLM 5.2 vs GPT-5.3-Codex
- GLM 5.2 vs Gemini 3.1 Pro Preview
- GLM 5.2 vs Claude Opus 4.6
- GLM 5.2 vs GPT-5.2
- GLM 5.2 vs Claude Opus 4.5
- GLM 5.2 vs GPT-5.2-Codex
Our take
GLM 5.2 is 1.3x cheaper for a typical chat. GLM 5.2 scores higher on the Artificial Analysis Intelligence Index (33.7 vs 29.5). GLM 5.2 has the larger context window (1.05M vs 1M 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 5.2 or Qwen3.7 Max cheaper?
GLM 5.2 is cheaper for a typical chat (2K input tokens and 500 output tokens). GLM 5.2 costs $0.06 per 1M input tokens and $8 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, GLM 5.2 or Qwen3.7 Max?
GLM 5.2 supports up to 1.05M tokens of context, compared with 1M for Qwen3.7 Max.
Is GLM 5.2 smarter than Qwen3.7 Max?
On the Artificial Analysis Intelligence Index, GLM 5.2 scores 33.7 and Qwen3.7 Max scores 29.5, putting GLM 5.2 ahead. Benchmarks don't capture everything, so the best test is running your own prompts through both.
Can I use GLM 5.2 and Qwen3.7 Max at the same time?
Yes. Shortcut Chat sends one prompt to multiple models at once, so you can see GLM 5.2 and Qwen3.7 Max answer side by side and keep the better response.
Why choose? Ask both.
Send one prompt to GLM 5.2 and Qwen3.7 Max at the same time. Compare the answers side by side and keep the best one.