AlibabaQwen3 VL 32B Instruct
As of 29 Oct 2026, Qwen3 VL 32B Instruct by Alibaba is not yet ranked on the BenchLeader Index (4 independent results so far; the index needs at least five across two categories). It costs $0.280 per 1M tokens blended ($0.160 in / $0.640 out). Released 21 Oct 2025; 4 independent results so far.
Key facts (as of 29 Oct 2026)
- Qwen3 VL 32B Instruct costs $0.280 per 1M tokens blended ($0.160 in / $0.640 out) (list price, 29 Oct 2026).
- Qwen3 VL 32B Instruct was released on 21 Oct 2025 (Alibaba).
In detail. Qwen3 VL 32B Instruct is an Alibaba open-weights reasoning model, released 21 Oct 2025. It is not yet ranked: 4 independent results so far, and the index needs at least five across two categories. At $0.280 per million tokens blended it is cheaper 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 21 Oct 2025.stale: no new result in six months
- Blended price
- $0.280/M
- $0.160 in · $0.640 out
- Output speed
- –
- First answer
- –
- Context
- 131k
- Full answer
- –
- Cost per run
- –
- Released
- 21 Oct 2025
- Agents & tools40
- Instruction following60
- Multimodal46
- Long context52
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 |
|---|---|---|---|---|---|---|
| thinkingbest | – | – | – | – | $0.0003 | Agents & tools 40 · Instruction following 60 · Long context 52 · Multimodal 46 |
| not stated | – | – | – | – | $0.0003 | Agents & tools 41 · Instruction following 42 · Multimodal 47 |
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 | thinking | not stated | Source |
|---|---|---|---|
| GPQA Diamond (AA)not in index | 73.3%#271 | 67.1%#328 | Artificial Analysis |
| Humanity's Last Exam (AA)not in index | 10.2%#332 | 6.8%#390 | Artificial Analysis |
| CritPtnot in index | 0.0%#328 | 0.0%#328 | Artificial Analysis |
Coding
| Benchmark | thinking | not stated | Source |
|---|---|---|---|
| LiveCodeBench (AA)not in index | 73.8%#48 | 51.4%#135 | Artificial Analysis |
Agents & tools
| Benchmark | thinking | not stated | Source |
|---|---|---|---|
| Terminal-Bench Hard | 7.6%#243 | 8.3%#237 | Artificial Analysis |
| τ²-Bench Telecom (AA)not in index | 45.6%#211 | 29.2%#265 | Artificial Analysis |
Instruction following
| Benchmark | thinking | not stated | Source |
|---|---|---|---|
| IFBench | 59.4%#131 | 39.2%#272 | Artificial Analysis |
Multimodal
| Benchmark | thinking | not stated | Source |
|---|---|---|---|
| MMMU-Pro | 63.4%#196 | 64.3%#192 | Artificial Analysis |
Long context
| Benchmark | thinking | Source |
|---|---|---|
| AA-LCR v1.1 | 55.3%#308 | Artificial Analysis |
Composite
| Benchmark | thinking | not stated | Source |
|---|---|---|---|
| AA Intelligence Index v4.3.2not in index | 11.9#351 | 8.4#447 | Artificial Analysis |
| AA Progress Index v1not in index | 224.8#330 | 200.6#405 | Artificial Analysis |
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 | $0.0003 | – | – |
| Summarize a 30-page report | 12,000 / 600 | $0.0023 | – | – |
| Code edit | 6,000 / 1,500 | $0.0019 | – | – |
| Agentic coding session | 60,000 / 4,000 | $0.012 | – | – |
| Structured extraction | 2,000 / 200 | $0.0004 | – | – |
More from Alibaba
See also
Questions people ask
- Why does Qwen3 VL 32B Instruct have no BenchLeader Index score?
- The index needs at least five independent results across at least two categories; as of 29 Oct 2026 Qwen3 VL 32B Instruct has 4 that count. Launch-post scores are never used, so it is ranked once independent publishers have measured it.
- How much does Qwen3 VL 32B Instruct cost per 1M tokens?
- As of 29 Oct 2026, Qwen3 VL 32B Instruct costs $0.160 per 1M input tokens and $0.640 per 1M output tokens, $0.280 blended (three input tokens per output token).
- When was Qwen3 VL 32B Instruct released?
- Alibaba released Qwen3 VL 32B Instruct on 21 Oct 2025. BenchLeader has results for it at 2 reasoning-effort settings.
Data as of 29 Oct 2026. Compare these configurations.
Cite as: BenchLeader, “Qwen3 VL 32B Instruct: benchmarks, pricing, speed and rank”, data as of 29 Oct 2026, https://www.benchleader.com/models/qwen3-vl-32b.