AI model comparison
Qwen3 VL 235B A22B Instruct vs GLM 4.5V
Pricing, context window, benchmarks, and features compared side by side. Or skip the guesswork and send one prompt to both.
Qwen3-VL-235B-A22B Instruct is an open-weight multimodal model that unifies strong text generation with visual understanding across images and video.
- Input / 1M
- $0.21
- Output / 1M
- $1.90
- Context
- 262K
Z.ai
GLM 4.5V
GLM-4.5V is a vision-language foundation model for multimodal agent applications.
- Input / 1M
- $0.60
- Output / 1M
- $1.80
- Context
- 66K
At a glance
Quick verdict
How the two models stack up on the things people ask about most.
Lower price
Qwen3 VL 235B A22B Instruct
1.5x cheaper for a typical chat
Higher intelligence score
Qwen3 VL 235B A22B Instruct
9.9 vs 7.6 on Artificial Analysis
Larger context window
Qwen3 VL 235B A22B Instruct
262K vs 66K tokens
Newer release
Qwen3 VL 235B A22B Instruct
Released September 23, 2025
Benchmarks
Benchmark scores
Independent scores from Artificial Analysis. Higher is better.
Intelligence index
Qwen3 VL 235B A22B Instruct9.9Coding index
Qwen3 VL 235B A22B InstructNot availableAgentic index
Qwen3 VL 235B A22B InstructNot availablePricing
Qwen3 VL 235B A22B Instruct vs GLM 4.5V API pricing
Per-token API rates. Cheaper option highlighted.
| Metric | Qwen3 VL 235B A22B Instruct | |
|---|---|---|
| Input tokensPer 1M tokens | $0.21 | $0.60 |
| Output tokensPer 1M tokens | $1.90 | $1.80 |
| Cached input (read)Per 1M tokens | $0.10 | $0.11 |
| 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 VL 235B A22B Instruct$1.37Coding task
30K in, 4K out
Qwen3 VL 235B A22B Instruct$13.90$10.60 cachedLong document summary
150K in, 2K out
Qwen3 VL 235B A22B Instruct$35.30$18.80 cachedSpecs
Context window and capabilities
How much each model can read, how much it can write, and what it accepts as input.
| Metric | Qwen3 VL 235B A22B Instruct | |
|---|---|---|
| Context window | 262K tokens | 66K tokens |
| Max output | 33K tokens | 16K tokens |
| Input types | Image, Text | Image, Text |
| Output types | Text | Text |
| Reasoning effort levels | Not available | Not available |
| Default reasoning effort | Not available | Not available |
| Release date | September 23, 2025 | August 11, 2025 |
Features
Supported features
API features available for each model.
| Metric | Qwen3 VL 235B A22B Instruct | |
|---|---|---|
| Tool calling | Supported | Supported |
| Structured outputs | Supported | Not supported |
| JSON mode | Supported | Supported |
| Reasoning | Not 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.
Qwen3 VL 235B A22B InstructView full model details- Qwen3 VL 235B A22B Instruct vs GPT-4.1 Mini
- Qwen3 VL 235B A22B Instruct vs Qwen3 Coder Next
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- Qwen3 VL 235B A22B Instruct vs DeepSeek V3 0324
- Qwen3 VL 235B A22B Instruct vs Qwen3 Coder 480B A35B
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- Qwen3 VL 235B A22B Instruct vs MiniMax M1
- Qwen3 VL 235B A22B Instruct vs R1
- Qwen3 VL 235B A22B Instruct vs Qwen3 Next 80B A3B Thinking
- Qwen3 VL 235B A22B Instruct vs o3 Mini High
- Qwen3 VL 235B A22B Instruct vs Qwen3 VL 30B A3B Thinking
- Qwen3 VL 235B A22B Instruct vs Mistral Large 3 2512
- Qwen3 VL 235B A22B Instruct vs Mistral Medium 3.1
- Qwen3 VL 235B A22B Instruct vs Mistral Medium 3
- Qwen3 VL 235B A22B Instruct vs Devstral 2 2512
- Qwen3 VL 235B A22B Instruct vs Hermes 4 405B
- Qwen3 VL 235B A22B Instruct vs Nova Pro 1.0
Our take
Qwen3 VL 235B A22B Instruct is 1.5x cheaper for a typical chat. Qwen3 VL 235B A22B Instruct scores higher on the Artificial Analysis Intelligence Index (9.9 vs 7.6). Qwen3 VL 235B A22B Instruct has the larger context window (262K vs 66K 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 VL 235B A22B Instruct or GLM 4.5V cheaper?
Qwen3 VL 235B A22B Instruct is cheaper for a typical chat (2K input tokens and 500 output tokens). Qwen3 VL 235B A22B Instruct costs $0.21 per 1M input tokens and $1.90 per 1M output tokens, while GLM 4.5V costs $0.60 per 1M input tokens and $1.80 per 1M output tokens.
Which has a bigger context window, Qwen3 VL 235B A22B Instruct or GLM 4.5V?
Qwen3 VL 235B A22B Instruct supports up to 262K tokens of context, compared with 66K for GLM 4.5V.
Is Qwen3 VL 235B A22B Instruct smarter than GLM 4.5V?
On the Artificial Analysis Intelligence Index, Qwen3 VL 235B A22B Instruct scores 9.9 and GLM 4.5V scores 7.6, putting Qwen3 VL 235B A22B Instruct ahead. Benchmarks don't capture everything, so the best test is running your own prompts through both.
Can I use Qwen3 VL 235B A22B Instruct and GLM 4.5V at the same time?
Yes. Shortcut Chat sends one prompt to multiple models at once, so you can see Qwen3 VL 235B A22B Instruct and GLM 4.5V answer side by side and keep the better response.
Why choose? Ask both.
Send one prompt to Qwen3 VL 235B A22B Instruct and GLM 4.5V at the same time. Compare the answers side by side and keep the best one.