AlibabaQwen-VL
Qwen-VL is an Alibaba proprietary model, released 18 Jan 2024. It is not yet ranked: 2 independent results so far, and the index needs at least five across two categories. At $1.40 per million tokens blended it is pricier than most ranked models. It has been measured at 2 reasoning-effort settings; this summary describes the best-scoring one, and the tabs above switch between them. Last measured 19 Oct 2026.
- Blended price
- $1.40/M
- $0.800 in · $3.20 out
- Output speed
- –
- First answer
- –
- Context
- 131k
- Full answer
- –
- Cost per run
- –
- Released
- 18 Jan 2024
- Multimodal46
Reasoning-effort configurations
The same model behaves differently depending on how much it is allowed to think. Each row is one setting, scored only on the benchmarks that were run at that setting. “Not stated” collects results from publishers that did not say which setting they used; for a reasoning model that is usually its thinking mode, but we do not assume it. Pick a setting here or at the top of the page to see its price, speed and category scores.
| Effort | Index | Rank | Speed | First answer | Chat reply cost | Categories |
|---|---|---|---|---|---|---|
| maxbest | – | – | – | – | $0.0013 | Multimodal 46 |
| not stated | – | – | – | – | – |
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.
Multimodal
| Benchmark | max | not stated | Source | Trend |
|---|---|---|---|---|
| Arena Vision | 1213#84 | – | Arena (LMArena) | |
| MMMU (validation) | 51.4%#43 | – | MMMU | |
| Video-MMEnot in index | 51.3%#34 | 41.1%#37 | Video-MME | |
| SpatialViz-Benchnot in index | 32.0%#7 | – | Epoch AI Benchmarking Hub | |
| ScienceQAnot in indexeffort not stated | – | 68.2%#15 | Epoch AI Benchmarking Hub |
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 | $0.0013 | – | – |
| Summarize a 30-page report | 12,000 / 600 | $0.011 | – | – |
| Code edit | 6,000 / 1,500 | $0.0096 | – | – |
| Agentic coding session | 60,000 / 4,000 | $0.061 | – | – |
| Structured extraction | 2,000 / 200 | $0.0022 | – | – |
More from Alibaba
See also
Questions people ask
- Why does Qwen-VL have no BenchLeader Index score?
- The index needs at least five independent results across at least two categories; as of 24 Oct 2026 Qwen-VL has 2 that count. Launch-post scores are never used, so it is ranked once independent publishers have measured it.
- How much does Qwen-VL cost per 1M tokens?
- As of 24 Oct 2026, Qwen-VL costs $0.800 per 1M input tokens and $3.20 per 1M output tokens, $1.40 blended (three input tokens per output token). The list price last changed on 24 Oct 2026.
- When was Qwen-VL released?
- Alibaba released Qwen-VL on 18 Jan 2024. BenchLeader has results for it at 2 reasoning-effort settings.
Data as of 24 Oct 2026. Compare these configurations.
Cite as: BenchLeader, “Qwen-VL: benchmarks, pricing, speed and rank”, data as of 24 Oct 2026, https://www.benchleader.com/models/qwen-vl.