AlibabaQwen3.5 Omni Flash
Qwen3.5 Omni Flash is an Alibaba proprietary model, released 30 Mar 2026. Its best configuration ranks #534 of 785 on the BenchLeader Index at 44.6 ±4.0, in the lower half. The ± is the point: 297 other configurations score within that range, so they and this one cannot be told apart on quality alone — price and speed are what separate them. It scores highest in long context (51) and lowest in knowledge (32). At $0.275 per million tokens blended it is cheaper than most ranked models. Output speed of 234 tokens per second puts it in the fastest quarter, with a first answer in 1.8 s. Last measured 30 Mar 2026.stale: no new result in six months
- Blended price
- $0.275/M
- $0.100 in · $0.800 out
- Output speed
- 234 tok/s
- measured by Artificial Analysis
- First answer
- 1.79 s
- first token 1.79 s
- Context
- 256k
- Full answer
- 3.92 s
- median, reasoning included
- Cost per run
- –
- Released
- 30 Mar 2026
- Overall index45
- Reasoning41
- Agents & tools41
- Knowledge32
- Instruction following41
- Multimodal47
- Long context51
- Composite43
Versions
Alibaba has shipped 2 models under this name. Each is ranked on its own results; a newer version often has fewer results so far, which holds its index nearer the average until more arrive.
| Model | Released | Index | Rank |
|---|---|---|---|
| Qwen3.8 Omni Flash | 17 Sept 2026 | – | – |
| Qwen3.5 Omni Flashthis page | 30 Mar 2026 | 44.6 | #534 |
How its index has moved
9 Sept 2026 to 21 Oct 2026The index is recomputed from scratch every day, so a line moves when a new benchmark result lands, when a publisher revises a score, or when the models it is normalised against change. Early movement usually means the score is still settling.
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 |
|---|---|---|
| GPQA Diamond (AA)not in index | 74.2%#260 | Artificial Analysis |
| Humanity's Last Exam (AA)not in index | 7.6%#360 | Artificial Analysis |
| CritPt | 0.0%#315 | Artificial Analysis |
Agents & tools
| Benchmark | not stated | Source |
|---|---|---|
| Terminal-Bench Hard | 8.3%#235 | Artificial Analysis |
| τ²-Bench Telecom (AA)not in index | 84.5%#102 | Artificial Analysis |
Knowledge
| Benchmark | not stated | Source |
|---|---|---|
| AA-Omniscience | -65.1#498 | Artificial Analysis |
| AA-Omniscience: accuracynot in index | 14.7%#432 | Artificial Analysis |
| AA-Omniscience: non-hallucinationnot in index | 6.6%#502 | Artificial Analysis |
Instruction following
| Benchmark | not stated | Source |
|---|---|---|
| IFBench | 38.0%#287 | Artificial Analysis |
Multimodal
| Benchmark | not stated | Source |
|---|---|---|
| MMMU-Pro | 64.7%#182 | Artificial Analysis |
Long context
| Benchmark | not stated | Source |
|---|---|---|
| AA-LCR | 52.0%#317 | Artificial Analysis |
Composite
| Benchmark | not stated | Source |
|---|---|---|
| AA Intelligence Index v4.3.2 | 12.5#330 | 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 | – | 3.1 s |
| Summarize a 30-page report | 12,000 / 600 | $0.0017 | – | 4.4 s |
| Code edit | 6,000 / 1,500 | $0.0018 | – | 8.2 s |
| Agentic coding session | 60,000 / 4,000 | $0.0092 | – | 18.9 s |
| Structured extraction | 2,000 / 200 | $0.0004 | – | 2.6 s |
More from Alibaba
See also
Questions people ask
- What are Qwen3.5 Omni Flash's benchmark scores?
- As of 25 Oct 2026, Qwen3.5 Omni Flash scores 44.6 ±4.0 on the BenchLeader Index, strongest in long context (51) and weakest in knowledge (32). That rests on 7 independent benchmark results, and every score on this page links to its publisher.
- How does Qwen3.5 Omni Flash rank?
- Qwen3.5 Omni Flash is #534 of 785 ranked configurations on 25 Oct 2026. 297 other configurations score within its margin, so the exact position matters less than the band. The leader is Claude Opus 5.5 (max effort) at 72.6.
- How much does Qwen3.5 Omni Flash cost per 1M tokens?
- As of 25 Oct 2026, Qwen3.5 Omni Flash costs $0.100 per 1M input tokens and $0.800 per 1M output tokens, $0.275 blended (three input tokens per output token).
- When was Qwen3.5 Omni Flash released?
- Alibaba released Qwen3.5 Omni Flash on 30 Mar 2026.
Data as of 25 Oct 2026. Compare with another model.
Cite as: BenchLeader, “Qwen3.5 Omni Flash: benchmarks, pricing, speed and rank”, data as of 25 Oct 2026, https://www.benchleader.com/models/qwen3-5-omni-flash.