Qwen3 Omni 30B A3B Instruct

← AI Models
Alibaba
2025-09-22
Modality:
Intelligence
10.7
#423/521
Coding
7.2
#366/427
Math
52.3
#136/265
Speed
106 tok/s
TTFT: 0.87s
Pricing
$0.25 / $0.97
per 1M tokens (in/out)
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Qwen3 Omni 30B A3B Instruct is Alibaba’s advanced AI model designed for various applications. It processes at 106.316 tokens per second and is priced at $0.25 per million input tokens, targeting professional users.

When to Use Qwen3 Omni 30B A3B Instruct

✓ Best For

  • Natural language processing tasks
  • Coding assistance
  • Mathematical problem solving

✗ Not Ideal For

  • High-speed real-time applications
  • Complex reasoning tasks

How Qwen3 Omni 30B A3B Instruct Compares

Intelligence Index · Higher is better

AI21 LabsIBMAlibabaDeepSeek

Benchmark Profile

Coding Index

AlibabaIBMMeta

Output Speed · tok/s

DeepSeekxAIAlibabaZ AIOpenAI

Math Index

GoogleAlibabaOpenAILG AI Research

Intelligence · Coding · Math

Intelligence Coding Math

All Benchmark Scores (12)

BenchmarkScore
Intelligence Index 10.7
Coding Index 7.2
Math Index 52.3
MMLU-Pro 725%
GPQA 62%
LiveCodeBench 422%
HLE 51%
SciCode 18.6%
IFBench 31.2%
TerminalBench Hard 1.5%
Tau2 16.4%
AIME 2025 52.3%

Data: Artificial Analysis · Updated: March 27, 2026

Frequently Asked Questions (15)

When was Qwen3 Omni 30B A3B Instruct released?
Qwen3 Omni 30B A3B Instruct was released on September 22, 2025.
Who created Qwen3 Omni 30B A3B Instruct?
Qwen3 Omni 30B A3B Instruct was created by Alibaba.
How intelligent is Qwen3 Omni 30B A3B Instruct?
Qwen3 Omni 30B A3B Instruct scores 11 on the Artificial Analysis Intelligence Index, placing it below average among other open weight non-reasoning models of similar size (median: 12).
How fast is Qwen3 Omni 30B A3B Instruct?
Qwen3 Omni 30B A3B Instruct generates output at 94.4 tokens per second (based on Alibaba's API), which is below average compared to other open weight non-reasoning models of similar size (median: 98.0 t/s).
What is the latency of Qwen3 Omni 30B A3B Instruct?
Qwen3 Omni 30B A3B Instruct has a time to first token (TTFT) of 1.84s (based on Alibaba's API), which is better than average compared to other open weight non-reasoning models of similar size (median: 1.79s).
How much does Qwen3 Omni 30B A3B Instruct cost?
Qwen3 Omni 30B A3B Instruct costs $0.25 per 1M input tokens (at the higher end, median: $0.16) and $0.97 per 1M output tokens (at the higher end, median: $0.40), based on Alibaba's API.
What is Qwen3 Omni 30B A3B Instruct API pricing?
Qwen3 Omni 30B A3B Instruct costs $0.25 per 1M input tokens and $0.97 per 1M output tokens (based on Alibaba's API). For a blended rate (3:1 input to output ratio), this is $0.43 per 1M tokens. Pricing may vary by provider.
How verbose is Qwen3 Omni 30B A3B Instruct?
When evaluated on the Intelligence Index, Qwen3 Omni 30B A3B Instruct generated 36M output tokens, which is at the higher end compared to other open weight non-reasoning models of similar size (median: 5.3M).
Is Qwen3 Omni 30B A3B Instruct a reasoning model?
No, Qwen3 Omni 30B A3B Instruct is not a reasoning model. It provides direct responses without extended chain-of-thought reasoning.
What input modalities does Qwen3 Omni 30B A3B Instruct support?
Qwen3 Omni 30B A3B Instruct supports text, image, speech, and video input.
What output modalities does Qwen3 Omni 30B A3B Instruct support?
Qwen3 Omni 30B A3B Instruct supports text and speech output.
Can Qwen3 Omni 30B A3B Instruct process images?
Yes, Qwen3 Omni 30B A3B Instruct supports image input and can analyze, describe, and answer questions about images.
Is Qwen3 Omni 30B A3B Instruct multimodal?
Yes, Qwen3 Omni 30B A3B Instruct is multimodal. It can process text, image, speech, and video input and generate text and speech output.
What is the context window of Qwen3 Omni 30B A3B Instruct?
Qwen3 Omni 30B A3B Instruct has a context window of 66k tokens. This determines how much text and conversation history the model can process in a single request.
Is Qwen3 Omni 30B A3B Instruct open source?
Yes, Qwen3 Omni 30B A3B Instruct is open weights. The model weights are publicly available and can be downloaded for self-hosting.