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, created on February 1, 2025, demonstrates competitive response times, ranking in the 48th percentile for speed across seven benchmarks. It typically provides cost-effective solutions, placing in the 62nd percentile for price across six benchmarks. The model exhibits strong reliability with an 89% success rate, indicating consistent provision of usable responses. Performance across benchmarks reveals distinct strengths and weaknesses. The model excels in Instruction Following, achieving perfect accuracy in one instance and 71% in another, showcasing its precision in adhering to complex directives. It also demonstrates perfect accuracy in Ethics and strong performance in General Knowledge (99.5% accuracy) and Email Classification (98% accuracy), highlighting its robust understanding in these domains. However, a significant weakness is observed in Coding (Baseline), where it achieved only 18.0% accuracy, placing it in the 17th percentile. Reasoning performance is moderate at 70% accuracy. The model's proficiency in recognizing common objects and analyzing visual texts, charts, and graphics, as described, complements its strong text-based instruction following and classification capabilities.
Model Pricing
Current Pricing
Feature | Price (per 1M tokens) |
---|---|
Prompt | $0.25 |
Completion | $0.75 |
Price History
Available Endpoints
Provider | Endpoint Name | Context Length | Pricing (Input) | Pricing (Output) |
---|---|---|---|---|
Nebius
|
Nebius | qwen/qwen2.5-vl-72b-instruct | 32K | $0.25 / 1M tokens | $0.75 / 1M tokens |
Hyperbolic
|
Hyperbolic | qwen/qwen2.5-vl-72b-instruct | 32K | $0.6 / 1M tokens | $0.6 / 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 | $1.95 / 1M tokens | $8 / 1M tokens |
Phala
|
Phala | qwen/qwen2.5-vl-72b-instruct | 128K | $0.59 / 1M tokens | $0.59 / 1M tokens |
Chutes
|
Chutes | qwen/qwen2.5-vl-72b-instruct | 32K | $0.1 / 1M tokens | $0.4 / 1M tokens |
Benchmark Results
Benchmark | Category | Reasoning | Free | Executions | Accuracy | Cost | Duration |
---|
Other Models by qwen
|
Released | Params | Context |
|
Speed | Ability | Cost |
---|---|---|---|---|---|---|---|
Qwen: Qwen3 30B A3B Instruct 2507 | Jul 29, 2025 | 30B | 131K |
Text input
Text output
|
★★★★ | ★★★★ | $$$ |
Qwen: Qwen3 235B A22B Thinking 2507 | Jul 25, 2025 | 235B | 131K |
Text input
Text output
|
★ | ★★★★ | $$$$$ |
Qwen: Qwen3 Coder | Jul 22, 2025 | 480B | 1M |
Text input
Text output
|
★★★★ | ★★★ | $$$ |
Qwen: Qwen3 235B A22B Instruct 2507 | Jul 21, 2025 | 235B | 262K |
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
|
★ | ★★★★ | $$$$ |
Qwen: Qwen2.5 VL 32B Instruct | Mar 24, 2025 | 32B | 128K |
Text input
Image input
Text output
|
★★ | ★★★ | $$$ |
Qwen: QwQ 32B | Mar 05, 2025 | 32B | 131K |
Text input
Text output
|
★ | ★★★ | $$$ |
Qwen: Qwen VL Plus | Feb 04, 2025 | — | 7K |
Text input
Image input
Text output
|
★★★★ | ★★ | $$$ |
Qwen: Qwen VL Max | Feb 01, 2025 | — | 7K |
Text input
Image input
Text output
|
★★★★★ | ★★★ | $$$$ |
Qwen: Qwen-Turbo | Feb 01, 2025 | — | 1M |
Text input
Text output
|
★★★★★ | ★★★★ | $$ |
Qwen: Qwen-Plus | Feb 01, 2025 | — | 131K |
Text input
Text output
|
★★★ | ★★★★ | $$$ |
Qwen: Qwen-Max | Feb 01, 2025 | — | 32K |
Text input
Text output
|
★★★ | ★★★★ | $$$$ |
Qwen: QwQ 32B Preview | Nov 27, 2024 | 32B | 32K |
Text input
Text output
|
— | ★ | $$ |
Qwen2.5 Coder 32B Instruct | Nov 11, 2024 | ~500B | 32K |
Text input
Text output
|
★★★★★ | ★★★★★ | $ |
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 |
Text input
Image input
Text output
|
★★★ | ★★★ | $$$ |
Qwen 2 72B Instruct | Jun 06, 2024 | ~500B | 32K |
Text input
Text output
|
★★★★ | ★★ | $$$$ |