Author's Description
Qwen2.5-VL is proficient in recognizing common objects such as flowers, birds, fish, and insects. It is also highly capable of analyzing texts, charts, icons, graphics, and layouts within images.
Key Specifications
Supported Parameters
This model supports the following parameters:
Performance Summary
Qwen2.5 VL 72B Instruct demonstrates competitive response times, performing among the fastest models with a 50th percentile speed ranking across nine benchmarks. It also offers cost-effective solutions, ranking in the 65th percentile for price across eight benchmarks. The model exhibits strong reliability, achieving an 81% success rate, indicating consistent and usable responses. Analysis of benchmark results reveals significant strengths in specific areas. Qwen2.5-VL achieved perfect accuracy in Hallucinations (Baseline) and Ethics (Baseline), indicating a strong ability to acknowledge uncertainty and adhere to ethical principles. It also showed perfect accuracy and exceptional speed in one Instruction Following (Baseline) test. The model performs well in General Knowledge (99.5% accuracy) and Email Classification (98.0% accuracy). However, notable weaknesses are apparent in Mathematics (5.0% accuracy) and Coding (18.0% accuracy), suggesting these areas require substantial improvement. Reasoning also shows moderate performance at 68.0% accuracy. Overall, Qwen2.5-VL excels in tasks requiring factual recall, ethical judgment, and precise instruction following, while struggling with complex mathematical and coding challenges.
Model Pricing
Current Pricing
| Feature | Price (per 1M tokens) |
|---|---|
| Prompt | $0.8 |
| Completion | $1 |
Price History
Available Endpoints
| Provider | Endpoint Name | Context Length | Pricing (Input) | Pricing (Output) |
|---|---|---|---|---|
|
Nebius
|
Nebius | qwen/qwen2.5-vl-72b-instruct | 32K | $0.8 / 1M tokens | $0.8 / 1M tokens |
|
Hyperbolic
|
Hyperbolic | qwen/qwen2.5-vl-72b-instruct | 32K | $0.8 / 1M tokens | $0.8 / 1M tokens |
|
Parasail
|
Parasail | qwen/qwen2.5-vl-72b-instruct | 128K | $0.8 / 1M tokens | $1 / 1M tokens |
|
Novita
|
Novita | qwen/qwen2.5-vl-72b-instruct | 32K | $0.8 / 1M tokens | $0.8 / 1M tokens |
|
Together
|
Together | qwen/qwen2.5-vl-72b-instruct | 32K | $0.8 / 1M tokens | $0.8 / 1M tokens |
|
Phala
|
Phala | qwen/qwen2.5-vl-72b-instruct | 128K | $0.8 / 1M tokens | $0.8 / 1M tokens |
|
Chutes
|
Chutes | qwen/qwen2.5-vl-72b-instruct | 32K | $0.8 / 1M tokens | $0.8 / 1M tokens |
|
Chutes
|
Chutes | qwen/qwen2.5-vl-72b-instruct | 32K | $0.8 / 1M tokens | $0.8 / 1M tokens |
|
Novita
|
Novita | qwen/qwen2.5-vl-72b-instruct | 32K | $0.8 / 1M tokens | $0.8 / 1M tokens |
Benchmark Results
| Benchmark | Category | Reasoning | Strategy | Free | Executions | Accuracy | Cost | Duration |
|---|
Other Models by qwen
|
|
Released | Params | Context |
|
Speed | Ability | Cost |
|---|---|---|---|---|---|---|---|
| Qwen: Qwen3.6 Plus | Apr 02, 2026 | — | 1M |
Text input
Image input
Video input
Text output
|
★ | ★ | $$$$$ |
| Qwen: Qwen3.5-9B | Mar 10, 2026 | 9B | 262K |
Text input
Image input
Video input
Text output
|
★ | ★★★ | $$$$ |
| Qwen: Qwen3.5-35B-A3B | Feb 25, 2026 | 35B | 262K |
Text input
Image input
Video input
Text output
|
★ | ★ | $$$$$ |
| Qwen: Qwen3.5-27B | Feb 25, 2026 | 27B | 262K |
Text input
Image input
Video input
Text output
|
★ | ★ | $$$$$ |
| Qwen: Qwen3.5-122B-A10B | Feb 25, 2026 | 122B | 262K |
Text input
Image input
Video input
Text output
|
★ | ★ | $$$$$ |
| Qwen: Qwen3.5-Flash | Feb 25, 2026 | — | 1M |
Text input
Image input
Video input
Text output
|
★★ | ★ | $$$$ |
| Qwen: Qwen3.5 Plus 2026-02-15 | Feb 16, 2026 | — | 1M |
Text input
Image input
Video input
Text output
|
★★★★ | ★ | $$$ |
| Qwen: Qwen3.5 397B A17B | Feb 15, 2026 | 397B | 262K |
Text input
Image input
Video input
Text output
|
★ | ★★★★★ | $$$$$ |
| Qwen: Qwen3 Max Thinking | Feb 09, 2026 | — | 262K |
Text input
Text output
|
★★ | ★★★★ | $$$$$ |
| Qwen: Qwen3 Coder Next | Feb 03, 2026 | ~80B | 262K |
Text input
Text output
|
★ | ★★★★ | $$$$ |
| Qwen: Qwen3 VL 32B Instruct | Oct 23, 2025 | 32B | 262K |
Text input
Image input
Text output
|
★★★ | ★★★★★ | $$ |
| Qwen: Qwen3 VL 8B Thinking | Oct 14, 2025 | 8B | 131K |
Text input
Image input
Text output
|
★ | ★ | $$$$$ |
| Qwen: Qwen3 VL 8B Instruct | Oct 14, 2025 | 8B | 131K |
Text input
Image input
Text output
|
★ | ★★ | $$$ |
| Qwen: Qwen3 VL 30B A3B Thinking | Oct 06, 2025 | 30B | 262K |
Text input
Image input
Text output
|
★ | ★★★ | $$$$ |
| Qwen: Qwen3 VL 30B A3B Instruct | Oct 06, 2025 | 30B | 131K |
Text input
Image input
Text output
|
— | — | $$$ |
| Qwen: Qwen3 VL 235B A22B Thinking | Sep 23, 2025 | 235B | 131K |
Text input
Image input
Text output
|
★ | ★ | $$$$$ |
| Qwen: Qwen3 VL 235B A22B Instruct | Sep 23, 2025 | 235B | 131K |
Text input
Image input
Text output
|
★★★★ | ★★★★ | $$$ |
| 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) Unavailable | 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
|
★ | ★★★★ | $$$ |
| Qwen: Qwen3 235B A22B | Apr 28, 2025 | 235B | 40K |
Text input
Text output
|
★ | ★★★★ | $$$$ |
| Qwen: Qwen2.5 Coder 7B Instruct | Apr 15, 2025 | 7B | 32K |
Text input
Text output
|
— | — | $ |
| Qwen: Qwen2.5 VL 32B Instruct | Mar 24, 2025 | 32B | 128K |
Text input
Image input
Text output
|
★ | ★★★ | $$$ |
| Qwen: QwQ 32B | Mar 05, 2025 | 32B | 131K |
Text input
Text output
|
★ | ★★ | $$$ |
| Qwen: Qwen VL Plus | Feb 04, 2025 | — | 131K |
Text input
Image input
Text output
|
★★★★ | ★★ | $$$ |
| Qwen: Qwen VL Max | Feb 01, 2025 | — | 131K |
Text input
Image input
Text output
|
★★★ | ★★★ | $$$$ |
| Qwen: Qwen-Turbo | Feb 01, 2025 | — | 131K |
Text input
Text output
|
★★★★★ | ★★★★ | $$ |
| 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
|
★★★ | ★★ | $$ |
| Qwen: Qwen2.5-VL 7B Instruct Unavailable | Aug 27, 2024 | ~500B | 32K |
Text input
Image input
Text output
|
★★★★ | ★★ | $$ |
| Qwen 2 72B Instruct Unavailable | Jun 06, 2024 | ~500B | 32K |
Text input
Text output
|
★★★★ | ★★ | $$$$ |