AI model comparison
GLM 5V Turbo vs Qwen3.5 397B A17B
Pricing, context window, benchmarks, and features compared side by side. Or skip the guesswork and send one prompt to both.
Z.ai
GLM 5V Turbo
GLM-5V-Turbo is Z.ai’s first native multimodal agent foundation model, built for vision-based coding and agent-driven tasks.
- Input / 1M
- $1.20
- Output / 1M
- $4
- Context
- 203K
The Qwen3.5 series 397B-A17B native vision-language model is built on a hybrid architecture that integrates a linear attention mechanism with a sparse mixture-of-experts model, achieving higher inference efficiency.
- Input / 1M
- $0.55
- Output / 1M
- $3.50
- Context
- 262K
At a glance
Quick verdict
How the two models stack up on the things people ask about most.
Lower price
Qwen3.5 397B A17B
1.5x cheaper for a typical chat
Higher intelligence score
GLM 5V Turbo
23.5 vs 21.4 on Artificial Analysis
Larger context window
Qwen3.5 397B A17B
262K vs 203K tokens
Newer release
GLM 5V Turbo
Released April 1, 2026
Benchmarks
Benchmark scores
Independent scores from Artificial Analysis. Higher is better.
Intelligence index
Qwen3.5 397B A17B21.4Coding index
Qwen3.5 397B A17BNot availableAgentic index
Qwen3.5 397B A17BNot availablePricing
GLM 5V Turbo vs Qwen3.5 397B A17B API pricing
Per-token API rates. Cheaper option highlighted.
| Metric | Qwen3.5 397B A17B | |
|---|---|---|
| Input tokensPer 1M tokens | $1.20 | $0.55 |
| Output tokensPer 1M tokens | $4 | $3.50 |
| Cached input (read)Per 1M tokens | $0.24 | $0.22 |
| Cache writePer 1M tokens | Not available | 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
Qwen3.5 397B A17B$2.85Coding task
30K in, 4K out
Qwen3.5 397B A17B$30.50$20.75 cachedLong document summary
150K in, 2K out
Qwen3.5 397B A17B$89.50$40.75 cachedSpecs
Context window and capabilities
How much each model can read, how much it can write, and what it accepts as input.
| Metric | Qwen3.5 397B A17B | |
|---|---|---|
| Context window | 203K tokens | 262K tokens |
| Max output | 131K tokens | 236K tokens |
| Input types | Image, Text, Video | Image, Text, Video |
| Output types | Text | Text |
| Reasoning effort levels | Not available | Not available |
| Default reasoning effort | Not available | Not available |
| Release date | April 1, 2026 | February 16, 2026 |
Features
Supported features
API features available for each model.
| Metric | Qwen3.5 397B A17B | |
|---|---|---|
| Tool calling | Supported | Supported |
| Structured outputs | Not supported | Supported |
| JSON mode | Supported | Supported |
| Reasoning | Supported | Supported |
| Temperature | Supported | Supported |
| Stop sequences | Not supported | Supported |
| Deterministic seed | Not 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.
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- Qwen3.5 397B A17B vs Gemini 3.5 Flash Lite
- Qwen3.5 397B A17B vs Qwen3.5-27B
- Qwen3.5 397B A17B vs GLM 4.7
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- Qwen3.5 397B A17B vs Claude Sonnet 4.5
- Qwen3.5 397B A17B vs GPT-5 Mini
- Qwen3.5 397B A17B vs GPT-5.1-Codex-Mini
- Qwen3.5 397B A17B vs Claude Sonnet 4
- Qwen3.5 397B A17B vs Qwen3.5-122B-A10B
Our take
Qwen3.5 397B A17B is 1.5x cheaper for a typical chat. GLM 5V Turbo scores higher on the Artificial Analysis Intelligence Index (23.5 vs 21.4). Qwen3.5 397B A17B has the larger context window (262K 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 GLM 5V Turbo or Qwen3.5 397B A17B cheaper?
Qwen3.5 397B A17B is cheaper for a typical chat (2K input tokens and 500 output tokens). Qwen3.5 397B A17B costs $0.55 per 1M input tokens and $3.50 per 1M output tokens, while GLM 5V Turbo costs $1.20 per 1M input tokens and $4 per 1M output tokens.
Which has a bigger context window, GLM 5V Turbo or Qwen3.5 397B A17B?
Qwen3.5 397B A17B supports up to 262K tokens of context, compared with 203K for GLM 5V Turbo.
Is GLM 5V Turbo smarter than Qwen3.5 397B A17B?
On the Artificial Analysis Intelligence Index, GLM 5V Turbo scores 23.5 and Qwen3.5 397B A17B scores 21.4, putting GLM 5V Turbo ahead. Benchmarks don't capture everything, so the best test is running your own prompts through both.
Can I use GLM 5V Turbo and Qwen3.5 397B A17B at the same time?
Yes. Shortcut Chat sends one prompt to multiple models at once, so you can see GLM 5V Turbo and Qwen3.5 397B A17B answer side by side and keep the better response.
Why choose? Ask both.
Send one prompt to GLM 5V Turbo and Qwen3.5 397B A17B at the same time. Compare the answers side by side and keep the best one.