AlibabaQwen2.5 VL 72B Instruct
Qwen2.5 VL 72B Instruct is an Alibaba open-weights model, released 19 Sept 2024. It is not yet ranked: 3 independent results so far, and the index needs at least five across two categories. At $0.850 per million tokens blended it is mid-priced. Output speed of 30 tokens per second puts it in the slowest quarter, with a first token in 1.1 s. Last measured 19 Oct 2026.
- Blended price
- $0.850/M
- $0.800 in · $1.00 out
- Output speed
- 30 tok/s
- OpenRouter traffic, 7-day median; not yet measured by Artificial Analysis
- First answer
- 1.09 s
- Context
- 128k
- Full answer
- –
- Cost per run
- –
- Released
- 19 Sept 2024
- Reasoning35
- Multimodal42
Benchmark results
See all LLM benchmarks. One column per reasoning effort. Rank is among every configuration of every model on that benchmark. Hover a score for the run it came from.
Reasoning
| Benchmark | not stated | Source | Trend |
|---|---|---|---|
| Kagi LLM Benchmark | 36.0%#115 | Kagi LLM Benchmark |
Multimodal
| Benchmark | not stated | Source | Trend |
|---|---|---|---|
| Arena Vision | 1107#125 | Arena (LMArena) | |
| MMMU (validation) | 64.5%#29 | MMMU | |
| MMMU-Pro (official)not in index | 46.2%#19 | MMMU | |
| GeoBenchnot in index | 62.0%#17 | GeoBench | |
| Video-MMEnot in index | 73.5%#4 | Video-MME | |
| SpatialViz-Benchnot in index | 33.3%#6 | Epoch AI Benchmarking Hub |
Where to run it
Every provider serving this model through OpenRouter, with throughput and first-token latency measured on live traffic over the last 30 minutes and each provider’s own price. Purple marks the best in each column.
| Provider | Speed | First token | Input $/M | Output $/M | Context | Quantisation |
|---|---|---|---|---|---|---|
| Parasail | 31 tok/s | 0.84 s | $0.800 | $1.00 | 128k | fp8 |
Price history
The price above, per 1M tokens, every day it changed.
What a task costs
Estimates from list price, output speed and time to first answer for the best configuration. “With caching” assumes three-quarters of the input is served from the prompt cache. Reasoning tokens are not modelled.
| Workload | Tokens in / out | Cost | With caching | Time |
|---|---|---|---|---|
| Chat reply | 400 / 300 | $0.0006 | – | 11.1 s |
| Summarize a 30-page report | 12,000 / 600 | $0.010 | – | 21.1 s |
| Code edit | 6,000 / 1,500 | $0.0063 | – | 51.1 s |
| Agentic coding session | 60,000 / 4,000 | $0.052 | – | 2.2 min |
| Structured extraction | 2,000 / 200 | $0.0018 | – | 7.8 s |
More from Alibaba
See also
Questions people ask
- Why does Qwen2.5 VL 72B Instruct have no BenchLeader Index score?
- The index needs at least five independent results across at least two categories; as of 25 Oct 2026 Qwen2.5 VL 72B Instruct has 3 that count. Launch-post scores are never used, so it is ranked once independent publishers have measured it.
- How much does Qwen2.5 VL 72B Instruct cost per 1M tokens?
- As of 25 Oct 2026, Qwen2.5 VL 72B Instruct costs $0.800 per 1M input tokens and $1.00 per 1M output tokens, $0.850 blended (three input tokens per output token). The list price last changed on 23 Oct 2026.
- When was Qwen2.5 VL 72B Instruct released?
- Alibaba released Qwen2.5 VL 72B Instruct on 19 Sept 2024.
Data as of 25 Oct 2026. Compare with another model.
Cite as: BenchLeader, “Qwen2.5 VL 72B Instruct: benchmarks, pricing, speed and rank”, data as of 25 Oct 2026, https://www.benchleader.com/models/qwen2-5-vl-72b.