Author's Description
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. It delivers state-of-the-art performance comparable to leading-edge models across a wide range of tasks, including language understanding, logical reasoning, code generation, agent-based tasks, image understanding, video understanding, and graphical user interface (GUI) interactions. With its robust code-generation and agent capabilities, the model exhibits strong generalization across diverse agent.
Key Specifications
Supported Parameters
This model supports the following parameters:
Features
This model supports the following features:
Performance Summary
The Qwen3.5 397B-A17B model, released by qwen on February 15, 2026, demonstrates exceptional reliability with a 100% success rate across all benchmarks, indicating consistent and dependable performance. However, it tends to have longer response times, ranking in the 6th percentile for speed, and is positioned at premium pricing levels, ranking in the 4th percentile for cost. Despite its speed and cost profile, the model exhibits strong performance across various tasks. It achieves near-perfect accuracy in Hallucinations (98.0%), showcasing its ability to appropriately acknowledge uncertainty. In Coding, it scores 92.9% accuracy, placing it in the 79th percentile. The model achieves perfect 100% accuracy in both Email Classification and Ethics, with Email Classification also being noted as the most accurate model at its price point and among models of its speed. Its Reasoning capabilities are also robust, with 96.0% accuracy, placing it in the 85th percentile. Key strengths include its outstanding reliability, perfect accuracy in critical classification and ethical reasoning tasks, and strong performance in coding and logical reasoning. Its primary weakness lies in its slower response times and premium pricing.
Model Pricing
Current Pricing
| Feature | Price (per 1M tokens) |
|---|---|
| Prompt | $0.6 |
| Completion | $3.6 |
Price History
Available Endpoints
| Provider | Endpoint Name | Context Length | Pricing (Input) | Pricing (Output) |
|---|---|---|---|---|
|
Alibaba
|
Alibaba | qwen/qwen3.5-397b-a17b-20260216 | 262K | $0.6 / 1M tokens | $3.6 / 1M tokens |
|
AtlasCloud
|
AtlasCloud | qwen/qwen3.5-397b-a17b-20260216 | 262K | $0.15 / 1M tokens | $1 / 1M tokens |
|
Novita
|
Novita | qwen/qwen3.5-397b-a17b-20260216 | 262K | $0.6 / 1M tokens | $3.6 / 1M tokens |
|
Parasail
|
Parasail | qwen/qwen3.5-397b-a17b-20260216 | 262K | $0.6 / 1M tokens | $3.6 / 1M tokens |
Benchmark Results
| Benchmark | Category | Reasoning | Strategy | Free | Executions | Accuracy | Cost | Duration |
|---|
Other Models by qwen
|
|
Released | Params | Context |
|
Speed | Ability | Cost |
|---|---|---|---|---|---|---|---|
| Qwen: Qwen3.5 Plus 2026-02-15 | Feb 16, 2026 | — | 1M |
Image input
Text input
Video input
Text output
|
★★★★ | ★ | $$$ |
| Qwen: Qwen3 Max Thinking | Feb 09, 2026 | — | 262K |
Text input
Text output
|
★★ | ★★★★ | $$$$$ |
| Qwen: Qwen3 Coder Next | Feb 03, 2026 | ~80B | 262K |
Text input
Text output
|
★ | ★★★★ | $$$$ |
| Qwen: Qwen3 VL 32B Instruct | Oct 23, 2025 | 32B | 262K |
Image input
Text input
Text output
|
★★★ | ★★★★★ | $$ |
| Qwen: Qwen3 VL 8B Thinking | Oct 14, 2025 | 8B | 131K |
Image input
Text input
Text output
|
★ | ★ | $$$$$ |
| Qwen: Qwen3 VL 8B Instruct | Oct 14, 2025 | 8B | 131K |
Image input
Text input
Text output
|
★ | ★★ | $$$ |
| Qwen: Qwen3 VL 30B A3B Thinking | Oct 06, 2025 | 30B | 262K |
Image input
Text input
Text output
|
★ | ★★★ | $$$$ |
| Qwen: Qwen3 VL 30B A3B Instruct | Oct 06, 2025 | 30B | 131K |
Image input
Text input
Text output
|
— | — | $$$ |
| Qwen: Qwen3 VL 235B A22B Thinking | Sep 23, 2025 | 235B | 131K |
Image input
Text input
Text output
|
★ | ★ | $$$$$ |
| Qwen: Qwen3 VL 235B A22B Instruct | Sep 23, 2025 | 235B | 131K |
Image input
Text input
Text output
|
★★★★ | ★★★★ | $$$ |
| Qwen: Qwen3 Max | Sep 23, 2025 | — | 262K |
Text input
Text output
|
★★★★ | ★★★★★ | $$$$ |
| Qwen: Qwen3 Coder Plus | Sep 23, 2025 | ~480B | 1M |
Text input
Text output
|
★★★★ | ★★★★ | $$$$ |
| Qwen: Qwen3 Coder Flash | Sep 17, 2025 | — | 1M |
Text input
Text output
|
★★★★ | ★★★ | $$$ |
| Qwen: Qwen3 Next 80B A3B Thinking | Sep 11, 2025 | 80B | 131K |
Text input
Text output
|
★ | ★★★★ | $$$$$ |
| Qwen: Qwen3 Next 80B A3B Instruct | Sep 11, 2025 | 80B | 262K |
Text input
Text output
|
★★★★ | ★★★★ | $$$$ |
| Qwen: Qwen Plus 0728 | Sep 08, 2025 | ~20B | 1M |
Text input
Text output
|
★★★★★ | ★★★ | $$$ |
| Qwen: Qwen3 30B A3B Thinking 2507 | Aug 28, 2025 | 30B | 262K |
Text input
Text output
|
★★ | ★★★ | $$$$ |
| Qwen: Qwen3 Coder 30B A3B Instruct | Jul 31, 2025 | 30B | 262K |
Text input
Text output
|
★★★★ | ★★★ | $$ |
| Qwen: Qwen3 30B A3B Instruct 2507 | Jul 29, 2025 | 30B | 131K |
Text input
Text output
|
★★★★ | ★★★★ | $$$ |
| Qwen: Qwen3 235B A22B Thinking 2507 | Jul 25, 2025 | 235B | 131K |
Text input
Text output
|
★ | ★★★★ | $$$$$ |
| Qwen: Qwen3 Coder 480B A35B | Jul 22, 2025 | 480B | 1M |
Text input
Text output
|
★★ | ★★★ | $$$ |
| Qwen: Qwen3 Coder 480B A35B (exacto) | Jul 22, 2025 | 480B | 262K |
Text input
Text output
|
— | — | $$$$ |
| Qwen: Qwen3 235B A22B Instruct 2507 | Jul 21, 2025 | 235B | 262K |
Text input
Text output
|
★★ | ★★★ | $$$ |
| Qwen: Qwen3 4B Unavailable | Apr 30, 2025 | 4B | 131K |
Text input
Text output
|
★ | ★★★ | $$$ |
| Qwen: Qwen3 30B A3B | Apr 28, 2025 | 30B | 40K |
Text input
Text output
|
★★ | ★★★★★ | $$$ |
| Qwen: Qwen3 8B | Apr 28, 2025 | 8B | 128K |
Text input
Text output
|
★ | ★★★ | $$$ |
| Qwen: Qwen3 14B | Apr 28, 2025 | 14B | 40K |
Text input
Text output
|
★★ | ★★★ | $$$ |
| Qwen: Qwen3 32B | Apr 28, 2025 | 32B | 40K |
Text input
Text output
|
★ | ★★★★ | $$$ |
| Qwen: Qwen3 235B A22B | Apr 28, 2025 | 235B | 40K |
Text input
Text output
|
★ | ★★★★ | $$$$ |
| Qwen: Qwen2.5 Coder 7B Instruct | Apr 15, 2025 | 7B | 32K |
Text input
Text output
|
— | — | $ |
| Qwen: Qwen2.5 VL 32B Instruct | Mar 24, 2025 | 32B | 128K |
Image input
Text input
Text output
|
★ | ★★★ | $$$ |
| Qwen: QwQ 32B | Mar 05, 2025 | 32B | 131K |
Text input
Text output
|
★ | ★★ | $$$ |
| Qwen: Qwen VL Plus | Feb 04, 2025 | — | 131K |
Image input
Text input
Text output
|
★★★★ | ★★ | $$$ |
| Qwen: Qwen VL Max | Feb 01, 2025 | — | 131K |
Image input
Text input
Text output
|
★★★ | ★★★ | $$$$ |
| Qwen: Qwen-Turbo | Feb 01, 2025 | — | 131K |
Text input
Text output
|
★★★★★ | ★★★★ | $$ |
| Qwen: Qwen2.5 VL 72B Instruct | Feb 01, 2025 | 72B | 32K |
Image input
Text input
Text output
|
★★★★ | ★★★★ | $$ |
| Qwen: Qwen-Plus | Feb 01, 2025 | — | 1M |
Text input
Text output
|
★★★★ | ★★★★ | $$$ |
| Qwen: Qwen-Max | Feb 01, 2025 | — | 32K |
Text input
Text output
|
★★★★ | ★★★★ | $$$$ |
| Qwen: QwQ 32B Preview Unavailable | Nov 27, 2024 | 32B | 32K |
Text input
Text output
|
— | ★ | $$ |
| Qwen2.5 Coder 32B Instruct | Nov 11, 2024 | ~500B | 32K |
Text input
Text output
|
★★★★★ | ★★★★★ | $ |
| Qwen: Qwen2.5 7B Instruct | Oct 15, 2024 | ~500B | 32K |
Text input
Text output
|
★ | ★★ | $ |
| Qwen2.5 72B Instruct | Sep 18, 2024 | ~500B | 32K |
Text input
Text output
|
★★★ | ★★ | $$ |
| Qwen: Qwen2.5-VL 7B Instruct | Aug 27, 2024 | ~500B | 32K |
Image input
Text input
Text output
|
★★★★ | ★★ | $$ |
| Qwen 2 72B Instruct Unavailable | Jun 06, 2024 | ~500B | 32K |
Text input
Text output
|
★★★★ | ★★ | $$$$ |