Lightweight multimodal Qwen model for high-throughput text, image, and video tasks
- Context
- 1M
- Released
- 3mo ago
- Input / 1M tokens
- $0.03
- Output / 1M tokens
- $0.13
- Cached input / 1M tokens
- $0.006
- Cache write / 1M tokens
- $0.04
Sources:models.devOpenRouter
Benchmarks
DeepSWE is the primary coding benchmark where an exact model evaluation exists. Other sourced evaluations appear below; missing scores are not zero.
Not evaluated in DeepSWE 1.1 as of 2026-09-22. Results are only shown for exact model versions in the official dataset. Official leaderboard.
Other published benchmarks
| Evaluation | Reported score and source |
|---|---|
| FrontierMath-Tiers-1-3-v2-Private | |
| FrontierMath-Tiers-1-3-v2-Private | |
| GPQA diamond | |
| GPQA diamond | |
| OTIS Mock AIME 2024-2025 | |
| OTIS Mock AIME 2024-2025 |
Benchmark compilation: Epoch AI, Capabilities & benchmarking (CC BY attribution). Scores are converted to percentages and model names matched to the Vertical Tabs catalog. Individual evaluations are credited to their original sources. External results may carry separate licences and evaluation configurations; do not interpret scores from different harnesses as directly comparable.
Specifications
- Developer
- Qwen
- Model family
- Qwen
- Type
- Language model
- Predecessor
- —
- Successor
- —
- Released
- July 15, 2026
- Model ID
qwen/qwen3.7-flash- Openness
- Closed
- License
- —
- Input modalities
- text, image, video
- Output modalities
- text
- Modality
- text+image+video->text
- Tokenizer
- Qwen
- Max output tokens
- 66K
- Hugging Face
- —
- Source freshness
- Metadata synced Oct 8, 2026, 10:17 PM UTC
Additional source evidence
- Source model
- alibaba/qwen3.7-flash
- Source family
- qwen
- Last updated
- 2026-07-15
- Model context
- 1M
- Maximum input
- 992K
- Model output limit
- 131K
- Open weights
- No
- File attachments
- Yes
- Reasoning
- Yes
- Tool calling
- Yes
- Structured output
- Yes
- Temperature control
- Yes
Complete source record (JSON)
{
"id": "alibaba/qwen3.7-flash",
"name": "Qwen3.7 Flash",
"description": "Lightweight multimodal Qwen model for high-throughput text, image, and video tasks",
"family": "qwen",
"last_updated": "2026-07-15",
"attachment": true,
"reasoning": true,
"tool_call": true,
"structured_output": true,
"temperature": true,
"modalities": {
"input": [
"text",
"image",
"video"
],
"output": [
"text"
]
},
"limit": {
"context": 1000000,
"input": 991808,
"output": 131072
},
"release_date": "2026-07-15",
"open_weights": false
}Infrastructure
Provider availability
| Provider | Endpoint | Context | Input /M tokens | Output /M tokens | Cached input /M tokens | Cache write /M tokens | Uptime 1d | Data handling |
|---|---|---|---|---|---|---|---|---|
| alibaba | 1M | $0.03 | $0.13 | $0.006 | $0.04 | 100.00% | ZDR: NoTraining: Unknown Prompt logging: Unknown Retention: Unknown Checked 2026-10-15 | |
| alibaba/us-east-1 | 1M | $0.03 | $0.15 | $0.0069 | — | 100.00% | ZDR: NoTraining: Unknown Prompt logging: Unknown Retention: Unknown Checked 2026-10-15 |
Provider data:OpenRouter