LIVE
BODYBUILDER$-1000000.00 5.4%
GLM-4-LONG$0.00 14.1%
GEMINI-2.0-FLA$0.30 20.0%
GEMINI-2.0-FLA$0.40 6.6%
-CF$0.00 9.7%
DEEPSEEK-V4-FL$0.28 26.3%
LLAMA-4-MAVERI$0.60 11.9%
GROK-4-FAST$0.50 6.0%
QWEN-PLUS$0.78 0.6%
MINIMAX-M2.1$0.95 2.6%
MINIMAX-M2$1.00 2.9%
MINIMAX-01$1.10 8.0%
GPT-4.1-MINI$1.60 13.7%
GROK-4-1-FAST-$0.50 8.9%
GPT-4.1-MINI-2$1.60 31.8%
XAI$0.00 4.5%
MINIMAX-M2.7$0.00 9.9%
QWEN3.5-FLASH-$0.26 31.0%
GPT-4.1-NANO$0.40 13.0%
GEMINI-2.5-FLA$0.40 0.8%
DEEPSEEK-AI$0.00 27.0%
GROK-4.1-FAST$0.50 16.4%
MINIMAX-M3$1.20 6.1%
GOOGLE$1.50 3.4%
AUTO$0.00 9.7%
GOOGLE$0.00 27.8%
MINIMAX-M2.7$1.20 7.2%
GOOGLE$0.00 0.6%
BODYBUILDER$-1000000.00 5.4%
GLM-4-LONG$0.00 14.1%
GEMINI-2.0-FLA$0.30 20.0%
GEMINI-2.0-FLA$0.40 6.6%
-CF$0.00 9.7%
DEEPSEEK-V4-FL$0.28 26.3%
LLAMA-4-MAVERI$0.60 11.9%
GROK-4-FAST$0.50 6.0%
QWEN-PLUS$0.78 0.6%
MINIMAX-M2.1$0.95 2.6%
MINIMAX-M2$1.00 2.9%
MINIMAX-01$1.10 8.0%
GPT-4.1-MINI$1.60 13.7%
GROK-4-1-FAST-$0.50 8.9%
GPT-4.1-MINI-2$1.60 31.8%
XAI$0.00 4.5%
MINIMAX-M2.7$0.00 9.9%
QWEN3.5-FLASH-$0.26 31.0%
GPT-4.1-NANO$0.40 13.0%
GEMINI-2.5-FLA$0.40 0.8%
DEEPSEEK-AI$0.00 27.0%
GROK-4.1-FAST$0.50 16.4%
MINIMAX-M3$1.20 6.1%
GOOGLE$1.50 3.4%
AUTO$0.00 9.7%
GOOGLE$0.00 27.8%
MINIMAX-M2.7$1.20 7.2%
GOOGLE$0.00 0.6%
CNMultimodalQWEN2.5-VL-72B Live · updated daily

qwen2.5-vl-72b-instruct

Alibaba Cloud · Qwen
Efficiency score
88/100
0.8%
Input price
$0.80/ 1M tokens
Output price
$0.80/ 1M tokens
Context window
33K
Throughput
162tok/s
Availability
98.0%
Cost / task
$0.002

Capabilities

Accepts (input)
Vision
Produces (output)
Text

7-day heat trend

0.8%

Pricing breakdown

Input price
$0.80/ 1M tokens
$0.0008 / 1K
Output price
$0.80/ 1M tokens
$0.0008 / 1K
Blended price
$0.80/ 1M tokens
$0.0008 / 1K

Typical 3:1 output-to-input mix, per 1M tokens

Estimated monthly cost by workload

Chat assistant
$336.00/ mo
1K in · 400 out · 10K req/day
RAG / long context
$1,032/ mo
8K in · 600 out · 5K req/day
Agent / tool use
$864.00/ mo
3K in · 1.5K out · 8K req/day
Estimate your cost

Market position

  • Cheaper than 15% of tracked models
  • Faster than 76% of tracked models
  • Efficiency rank: #849 of 1105

Best suited for

Mixed text, image, audio and document workloads that benefit from one model across modalities.

About qwen2.5-vl-72b-instruct

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.

qwen2.5-vl-72b-instruct is a Multimodal model from Alibaba Cloud · Qwen (CN). HotON.ai tracks it at $0.80 per 1M input tokens and $0.80 per 1M output tokens, with a 33K-token context window, ~162 tokens/sec throughput and 98.0% availability. Its composite efficiency score is 88/100 at an estimated $0.002 per successful task.

Frequently asked questions

How much does qwen2.5-vl-72b-instruct cost per 1M tokens?+

qwen2.5-vl-72b-instruct is tracked at $0.80 per 1M input tokens and $0.80 per 1M output tokens. A typical 3:1 output-to-input workload blends to roughly $0.80 per 1M tokens. Figures are illustrative demo data.

What is qwen2.5-vl-72b-instruct best for?+

Mixed text, image, audio and document workloads that benefit from one model across modalities.

How fast is qwen2.5-vl-72b-instruct?+

qwen2.5-vl-72b-instruct delivers about 162 tokens/sec with 98.0% tracked availability, suitable for latency-sensitive, real-time applications.

Is qwen2.5-vl-72b-instruct cheaper than other AI models?+

Within the HotON.ai tracked set, qwen2.5-vl-72b-instruct is cheaper than 15% of models on input price and ranks #849 of 1105 by overall efficiency.

Pricing is real (via the TestKey catalog, updated daily). Quality (Arena Elo) is real where the model is ranked on LMArena. Speed, availability and efficiency are modeled estimates.