Qwen2.5 VL 72B Instruct
by Alibaba (Qwen) · qwen/qwen2.5-vl-72b-instruct · #169 cheapest of 325 paid models
Prices updated Jul 22, 2026, 2:33 AM UTC · refreshed hourly
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.
Compare vs:Claude Sonnet 5Claude Opus 4.6Claude Haiku 4.5GPT-5.6 Sol
Pricing
Input
$0.80
per 1M tokens
Output
$1.00
per 1M tokens
Blended (3:1)
$0.85
3 input : 1 output
Cache read
$0.40
per 1M cached tokens
Cache write
—
per 1M tokens
Cache & batch economics
Effective prices for Qwen2.5 VL 72B Instruct with prompt caching.
| Cache hit rate | Effective blended $/1M | Example request* | vs no cache |
|---|---|---|---|
| 0% | $0.85 | $0.0826 | — |
| 50% | $0.70 | $0.0626 | −24% |
| 90% | $0.58 | $0.0466 | −44% |
*Example: 100K sticky context + 2K new input + 1K output. Batch discount is an approximate 50% off list rates (available for OpenAI / Anthropic / Google — not flagged for this creator). Confirm on the vendor’s pricing page.
What a request costs
| Workload | Input tokens | Output tokens | Cost / request | Cost / 1K requests |
|---|---|---|---|---|
| Short chat message | 500 | 300 | $0.0007 | $0.7 |
| Document summary | 8,000 | 1,000 | $0.0074 | $7.40 |
| Codebase question (RAG) | 30,000 | 2,000 | $0.026 | $26.00 |
| Long-context analysis | 150,000 | 5,000 | $0.125 | $125.00 |
Specs
Context window
128K
tokens
Max output
128K
tokens
Input modalities
text, image
Tokenizer
Qwen