BenchLeader

Qwen3.5 Omni Plus

Qwen3.5 Omni Plus is an Alibaba proprietary model, released 30 Mar 2026. Its best configuration ranks #348 of 785 on the BenchLeader Index at 51.4 ±3.3, in the upper 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 (57) and lowest in reasoning (42). At $1.50 per million tokens blended it is pricier than most ranked models. Output speed of 112 tokens per second puts it faster than most, with a first answer in 2.0 s. Last measured 30 Mar 2026.stale: no new result in six months

Blended price
$1.50/M
$0.400 in · $4.80 out
Output speed
112 tok/s
measured by Artificial Analysis
First answer
1.99 s
first token 1.99 s
Context
256k
Full answer
6.44 s
median, reasoning included
Cost per run
–
Released
30 Mar 2026
How it scores by categoryDashed line = average model (50). One step of 15 = one standard deviation.
  1. Overall index51
  2. Reasoning42
  3. Agents & tools52
  4. Knowledge56
  5. Instruction following52
  6. Multimodal53
  7. Long context57
  8. Composite52

How its index has moved

9 Sept 2026 to 21 Oct 2026
485357

The 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

Benchmarknot statedSource
GPQA Diamond (AA)not in index82.6%#170Artificial Analysis
Humanity's Last Exam (AA)not in index14.9%#255Artificial Analysis
CritPt0.6%#270Artificial Analysis

Agents & tools

Benchmarknot statedSource
Terminal-Bench Hard21.2%#158Artificial Analysis
τ²-Bench Telecom (AA)not in index88.3%#74Artificial Analysis

Instruction following

Benchmarknot statedSource
IFBench51.2%#169Artificial Analysis

Multimodal

Benchmarknot statedSource
MMMU-Pro70.5%#143Artificial Analysis

Long context

Benchmarknot statedSource
AA-LCR63.7%#264Artificial Analysis

Composite

Benchmarknot statedSource
AA Intelligence Index v4.3.220.4#229Artificial 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.

WorkloadTokens in / outCostWith cachingTime
Chat reply400 / 300$0.0016–4.7 s
Summarize a 30-page report12,000 / 600$0.0077–7.3 s
Code edit6,000 / 1,500$0.0096–15.3 s
Agentic coding session60,000 / 4,000$0.043–37.6 s
Structured extraction2,000 / 200$0.0018–3.8 s

More from Alibaba

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See also

Questions people ask

What are Qwen3.5 Omni Plus's benchmark scores?
As of 25 Oct 2026, Qwen3.5 Omni Plus scores 51.4 ±3.3 on the BenchLeader Index, strongest in long context (57) and weakest in reasoning (42). That rests on 7 independent benchmark results, and every score on this page links to its publisher.
How does Qwen3.5 Omni Plus rank?
Qwen3.5 Omni Plus is #348 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 Plus cost per 1M tokens?
As of 25 Oct 2026, Qwen3.5 Omni Plus costs $0.400 per 1M input tokens and $4.80 per 1M output tokens, $1.50 blended (three input tokens per output token).
When was Qwen3.5 Omni Plus released?
Alibaba released Qwen3.5 Omni Plus on 30 Mar 2026.

Data as of 25 Oct 2026. Compare with another model.

Cite as: BenchLeader, “Qwen3.5 Omni Plus: benchmarks, pricing, speed and rank”, data as of 25 Oct 2026, https://www.benchleader.com/models/qwen3-5-omni-plus.