Qwen3.7-Flash
The low-cost tier of the Qwen3.7 native vision-language series and successor to Qwen3.6-Flash, built for multimodal agent work such as search and code interpreter tasks.
Key Specifications
- Context window
- 1M tokens
- Max output
- 131K tokens
- Inputs
- Text, image, video
- Capabilities Show details
- Reasoning Thinks before it answers, always on or as a switchable mode. Function calling Connect to external tools, APIs, and systems. Structured output Return responses in structured formats like JSON. Web search Search the web for up-to-date information.
Hosted API pricing
| Provider | Input / 1M tokens | Output / 1M tokens | Cost at 10M in + 2M out | |
|---|---|---|---|---|
|
Alibaba Cloud
Creator
|
$0.03 | $0.13 | $0.56 | View |
Heads up: Base-tier, on-demand rates per 1M tokens; cached, batch and long-context tiers excluded. A provider may serve a shorter context or a quantized build than the creator's release. Verify before provisioning. More on how we price.
Similarly priced models
The models nearest Qwen3.7-Flash by blended rate, each at its own cheapest provider.
| Model | Blended / 1M | Input / 1M | Output / 1M | Context | Cutoff | vs Qwen3.7-Flash |
|---|---|---|---|---|---|---|
Llama 3.1 8B
Meta
|
$0.025 | $0.02 | $0.05 | 131K | Dec 2023 | −46% |
DeepSeek OCR-2
DeepSeek
|
$0.03 | $0.03 | $0.03 | 8K | −36% | |
|
Qwen3.7-Flash
This model
Alibaba Cloud
|
$0.0467 | $0.03 | $0.13 | 1M | ||
GPT-OSS-20B
OpenAI
|
$0.0483 | $0.03 | $0.14 | 131K | Jun 2024 | +4% |
Command R7B
Cohere
|
$0.0583 | $0.04 | $0.15 | 128K | +25% | |
Gemma 3 12B Instruct
Google Cloud
|
$0.0583 | $0.05 | $0.10 | 128K | Aug 2024 | +25% |
|
GPT-OSS-120B
OpenAI
|
$0.0633 | $0.04 | $0.18 | 131K | Jun 2024 | +36% |
Nemotron 3 Nano 30B A3B
Nvidia
|
$0.075 | $0.05 | $0.20 | 262K | Jun 2025 | +61% |
|
Llama 3 8B
Meta
|
$0.0833 | $0.05 | $0.25 | 8K | Mar 2023 | +79% |
|
Qwen3-Coder-30B-A3B
Alibaba Cloud
|
$0.0917 | $0.06 | $0.25 | 262K | +96% | |
Ministral 3 3B
Mistral
|
$0.10 | $0.10 | $0.10 | 256K | +114% |
Prices are USD per 1M tokens at each model's cheapest listed provider. Blended is the cost of 10M input plus 2M output tokens, spread over the 12M.
Frequently Asked Questions
What is Qwen3.7-Flash good for?
Cost-sensitive agentic coding and text, image and video work, as the low-cost tier of the Qwen3.7 series. Alibaba built it for search and code interpreter agents that read images and video.
When is Qwen3.7-Flash not a good fit?
Self-hosting: the weights are closed, with no named open Qwen3.7 backbone. No audio input or image output, and Alibaba lists fine-tuning as unsupported.
What is the cheapest way to run Qwen3.7-Flash?
The cheapest hosted rate is $0.03 / $0.13 per 1M tokens via Alibaba Cloud.
How does Qwen3.7-Flash compare with Qwen3.8-Flash?
Same 1M-token context and text, image and video input. Qwen3.7-Flash lists at 80% less per 1M input tokens and 72% less per 1M output tokens than Qwen3.8-Flash.
Can I self-host Qwen3.7-Flash?
No. Alibaba Cloud does not publish the weights; Qwen3.7-Flash is available only through hosted APIs.
More from Alibaba Cloud
| Model | Context | Input / 1M | Output / 1M |
|---|---|---|---|
|
Qwen3-Coder-30B-A3B
Open weights
|
262K | $0.06 | $0.25 |
|
Qwen3-30B-A3B FP8
Open weights
|
33K | $0.10 | $0.30 |
|
Qwen3-32B FP8
Open weights
|
33K | $0.10 | $0.30 |
|
Qwen3.5-Flash
|
1M | $0.10 | $0.40 |
|
Qwen3-235B-A22B Instruct (2507)
Open weights
|
262K | $0.09 | $0.58 |
|
Qwen3.8-Flash
|
1M | $0.15 | $0.47 |
|
Qwen-MT-Turbo
|
16K | $0.16 | $0.49 |
|
Qwen3-Coder-Next
Open weights
|
262K | $0.08 | $0.98 |