AI model comparison
Ling 3.0 Flash VL vs Qwen3.7 Plus
Pricing, context window, benchmarks, and features compared side by side. Or skip the guesswork and send one prompt to both.
inclusionAI
Ling 3.0 Flash VL
Ling 3.0 Flash VL builds on Ling 3.0 Flash (124B total / 5.5B active MoE from InclusionAI), further strengthening its language capabilities while adding native visual perception and advanced visual
- Input / 1M
- $0.02
- Output / 1M
- $0.06
- Context
- 262K
Qwen
Qwen3.7 Plus
Qwen3.7-Plus is a cost-effective model in Alibaba's Qwen3.7 series.
- Input / 1M
- $0.32
- Output / 1M
- $1.28
- Context
- 1M
At a glance
Quick verdict
How the two models stack up on the things people ask about most.
Lower price
Ling 3.0 Flash VL
17.6x cheaper for a typical chat
Higher intelligence score
Qwen3.7 Plus
25.2 vs 24.6 on Artificial Analysis
Larger context window
Qwen3.7 Plus
1M vs 262K tokens
Newer release
Ling 3.0 Flash VL
Released September 10, 2026
Benchmarks
Benchmark scores
Independent scores from Artificial Analysis. Higher is better.
Intelligence index
Qwen3.7 Plus25.2Coding index
Qwen3.7 Plus55.9Agentic index
Qwen3.7 Plus17.5Pricing
Ling 3.0 Flash VL vs Qwen3.7 Plus API pricing
Per-token API rates. Cheaper option highlighted.
| Metric | Qwen3.7 Plus | |
|---|---|---|
| Input tokensPer 1M tokens | $0.02 | $0.32 |
| Output tokensPer 1M tokens | $0.06 | $1.28 |
| Cached input (read)Per 1M tokens | $0.00 | $0.06 |
| Cache writePer 1M tokens | Not available | $0.40 |
| Long-context pricingPer 1M tokens, for very long prompts | Same rate at any length | $0.96 in / $3.84 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
Qwen3.7 Plus$1.28Coding task
30K in, 4K out
Qwen3.7 Plus$14.72$7.04 cachedLong document summary
150K in, 2K out
Qwen3.7 Plus$50.56$12.16 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 Plus | |
|---|---|---|
| Context window | 262K tokens | 1M tokens |
| Max output | 33K tokens | 131K tokens |
| Input types | Image, Text, Video | Image, Text |
| Output types | Text | Text |
| Reasoning effort levels | Not available | Not available |
| Default reasoning effort | Not available | Not available |
| Release date | September 10, 2026 | June 3, 2026 |
Features
Supported features
API features available for each model.
| Metric | Qwen3.7 Plus | |
|---|---|---|
| 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.
- Ling 3.0 Flash VL vs DeepSeek V4 Flash 0423
- Ling 3.0 Flash VL vs Hy3
- Ling 3.0 Flash VL vs Solar Mini 4
- Ling 3.0 Flash VL vs Solar Pro 4
- Ling 3.0 Flash VL vs MiMo-V2.5-Pro
- Ling 3.0 Flash VL vs MiMo-V2.5
- Ling 3.0 Flash VL vs DeepSeek V3.2
- Ling 3.0 Flash VL vs Mistral Nemo
- Ling 3.0 Flash VL vs Ling 3.0 Flash Fin
- Ling 3.0 Flash VL vs Ling 3.0 Flash
Qwen3.7 PlusView full model details- Qwen3.7 Plus vs Hy3
- Qwen3.7 Plus vs MiniMax M3
- Qwen3.7 Plus vs Gemini 3 Flash Preview
- Qwen3.7 Plus vs Solar Mini 4
- Qwen3.7 Plus vs Grok Build 0.1
- Qwen3.7 Plus vs Qwen3.6 Plus
- Qwen3.7 Plus vs MiMo-V2.5-Pro
- Qwen3.7 Plus vs MiMo-V2.5
- Qwen3.7 Plus vs Grok 4.20
- Qwen3.7 Plus vs Inkling Small
- Qwen3.7 Plus vs Grok 4.3
- Qwen3.7 Plus vs Qwen3.5-27B
- Qwen3.7 Plus vs MiniMax M2.7
- Qwen3.7 Plus vs MiniMax M2.5
- Qwen3.7 Plus vs Qwen3.5-35B-A3B
Our take
Ling 3.0 Flash VL is 17.6x cheaper for a typical chat. Qwen3.7 Plus scores higher on the Artificial Analysis Intelligence Index (25.2 vs 24.6). Qwen3.7 Plus has the larger context window (1M vs 262K 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 Ling 3.0 Flash VL or Qwen3.7 Plus cheaper?
Ling 3.0 Flash VL is cheaper for a typical chat (2K input tokens and 500 output tokens). Ling 3.0 Flash VL costs $0.02 per 1M input tokens and $0.06 per 1M output tokens, while Qwen3.7 Plus costs $0.32 per 1M input tokens and $1.28 per 1M output tokens.
Which has a bigger context window, Ling 3.0 Flash VL or Qwen3.7 Plus?
Qwen3.7 Plus supports up to 1M tokens of context, compared with 262K for Ling 3.0 Flash VL.
Is Ling 3.0 Flash VL smarter than Qwen3.7 Plus?
On the Artificial Analysis Intelligence Index, Ling 3.0 Flash VL scores 24.6 and Qwen3.7 Plus scores 25.2, putting Qwen3.7 Plus ahead. Benchmarks don't capture everything, so the best test is running your own prompts through both.
Can I use Ling 3.0 Flash VL and Qwen3.7 Plus at the same time?
Yes. Shortcut Chat sends one prompt to multiple models at once, so you can see Ling 3.0 Flash VL and Qwen3.7 Plus answer side by side and keep the better response.
Why choose? Ask both.
Send one prompt to Ling 3.0 Flash VL and Qwen3.7 Plus at the same time. Compare the answers side by side and keep the best one.