Qwen3.5 Omni Flash Intelligence, Performance & Price Analysis
Model summary
Intelligence
Artificial Analysis Intelligence Index
Speed
Output tokens per second
Input Price
USD per 1M tokens
Output Price
USD per 1M tokens
Verbosity
Output tokens from Intelligence Index
Metrics are compared against models of the same class:
- Non-reasoning models → compared only with other non-reasoning models
- Reasoning models → compared across both reasoning and non-reasoning
- Open weights models → compared only with other open weights models of the same size class:
- Tiny: ≤4B parameters
- Small: 4B–40B parameters
- Medium: 40B–150B parameters
- Large: >150B parameters
- Proprietary models → compared across proprietary and open weights models of the same price range, using a blended 3:1 input/output price ratio:
- <$0.15 per 1M tokens
- $0.15–$1 per 1M tokens
- >$1 per 1M tokens
| Reasoning | No This page shows the non-reasoning version of this model. A reasoning variant may also exist. |
|---|---|
| Input modality | Supports: text, image, speech, video |
| Output modality | Supports: text, speech |
| Context window | 256k ~384 A4 pages of size 12 Arial font |
Qwen3.5 Omni Flash is amongst the leading models in intelligence and reasonably priced when comparing to other non-reasoning models of similar price. It's also notably fast, however very verbose. The model supports text, image, speech, and video input, outputs text and speech, and has a 256k tokens context window.
Qwen3.5 Omni Flash scores 26 on the Artificial Analysis Intelligence Index, placing it well above average among comparable models (averaging 15). When evaluating the Intelligence Index, it generated 19M tokens, which is very verbose in comparison to the average of 5.2M.
Pricing for Qwen3.5 Omni Flash is $0.10 per 1M input tokens (competitively priced, average: $0.23) and $0.80 per 1M output tokens (somewhat expensive, average: $0.70). In total, it cost $38.80 to evaluate Qwen3.5 Omni Flash on the Intelligence Index.
At 163 tokens per second, Qwen3.5 Omni Flash is notably fast (98).
Intelligence
Artificial Analysis Intelligence Index
Artificial Analysis Intelligence Index by Open Weights / Proprietary
Intelligence Evaluations
Openness
Artificial Analysis Openness Index: Results
Intelligence Index Comparisons
Intelligence vs. Price
Intelligence Index Token Use & Cost
Output Tokens Used to Run Artificial Analysis Intelligence Index
Cost to Run Artificial Analysis Intelligence Index
Context Window
Context Window
Pricing
Pricing: Input and Output Prices
Intelligence vs. Price (Log Scale)
Pricing Comparison of Qwen3.5 Omni Flash API Providers
Speed
Measured by Output Speed (tokens per second)
Output Speed
Output Speed vs. Price
Latency
Measured by Time (seconds) to First Token
Latency: Time To First Answer Token
End-to-End Response Time
Seconds to output 500 Tokens, calculated based on time to first token, 'thinking' time for reasoning models, and output speed
End-to-End Response Time
Model Size (Open Weights Models Only)
Model Size: Total and Active Parameters
Frequently Asked Questions
Common questions about Qwen3.5 Omni Flash
Qwen3.5 Omni Flash was released on March 30, 2026.
Qwen3.5 Omni Flash was created by Alibaba.
Qwen3.5 Omni Flash scores 26 on the Artificial Analysis Intelligence Index, placing it well above average among other non-reasoning models in a similar price tier (median: 15).
Qwen3.5 Omni Flash generates output at 163.3 tokens per second (based on Alibaba's API), which is well above average compared to other non-reasoning models in a similar price tier (median: 97.8 t/s).
Qwen3.5 Omni Flash has a time to first token (TTFT) of 1.94s (based on Alibaba's API), which is somewhat higher than average compared to other non-reasoning models in a similar price tier (median: 1.42s).
Qwen3.5 Omni Flash costs $0.10 per 1M input tokens (very competitive, median: $0.23) and $0.80 per 1M output tokens (somewhat higher than average, median: $0.70), based on Alibaba's API.
Qwen3.5 Omni Flash costs $0.10 per 1M input tokens and $0.80 per 1M output tokens (based on Alibaba's API). For a blended rate (3:1 input to output ratio), this is $0.28 per 1M tokens. Pricing may vary by provider. Compare provider pricing
When evaluated on the Intelligence Index, Qwen3.5 Omni Flash generated 19M output tokens, which is at the higher end compared to other non-reasoning models in a similar price tier (median: 5.2M).
No, Qwen3.5 Omni Flash is not a reasoning model. It provides direct responses without extended chain-of-thought reasoning.
Qwen3.5 Omni Flash supports text, image, speech, and video input.
Qwen3.5 Omni Flash supports text and speech output.
Yes, Qwen3.5 Omni Flash supports image input and can analyze, describe, and answer questions about images.
Yes, Qwen3.5 Omni Flash is multimodal. It can process text, image, speech, and video input and generate text and speech output.
Qwen3.5 Omni Flash has a context window of 260k tokens. This determines how much text and conversation history the model can process in a single request.
No, Qwen3.5 Omni Flash is proprietary. The model weights are not publicly available.
Qwen3.5 Omni Flash is a proprietary model and Alibaba has not disclosed the model size or parameter count.
Qwen3.5 Omni Flash achieves a score of 26 on the Artificial Analysis Intelligence Index. This composite benchmark evaluates models across reasoning, knowledge, mathematics, and coding.
Yes, Qwen3.5 Omni Flash is available via API through 1 provider. Compare API providers
Qwen3.5 Omni Flash is available through 1 API provider. Compare providers