Qwen2.5 VL 72B Instruct
by Qwentext+image->text2 endpoints
Neura Intelligence Index
18.8/ 100
Rank
#259—
Confidence
mediumBenchmarks
4(10% coverage)
Overview
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.
Capabilities
Text generation
Image understanding
Structured output
Prompt caching
Long context
Top-P sampling
Modalities
Input
TextImage
Output
Text
Technical Specifications
Context Window
131.1K tokens
Max Output
128K tokens
Knowledge Cutoff
2024-06-30
Tokenizer
Qwen
Uptime (24h)
9953.0%
Parameters
72000000000B
License
Supported Parameters
frequency_penaltylogit_biaslogprobsmax_tokenspresence_penaltyrepetition_penaltyresponse_formatseedstopstructured_outputstemperaturetop_ktop_logprobstop_p
Benchmark Performance
multimodal
| Benchmark | Score | Source |
|---|---|---|
| MMMU | 70.2 | verified |
| MMMU-Pro | 51.1 | verified |
| ScreenSpot Pro | 43.6 | verified |
agent
| Benchmark | Score | Source |
|---|---|---|
| OSWorld |
Performance Over Time
Pricing
Per 1M tokens
Input$0.80
Output$1.00
Cache read$0.40