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Qwen3 Omni 30B A3B Instruct

alibaba·alibaba/qwen3-omni-30b-a3b-instruct·GA·Open weights·qwen series
Qwen omni model for text, vision, audio, and multimodal agent tasks

Qwen3 Omni 30B A3B Instruct by alibaba is currently listed from a single provider. Its reference price is $0.25 per 1M input tokens and $0.97 per 1M output tokens.

Artificial Analysis rates it 6 on the Intelligence Index. Against its lowest blended price of $0.43 per 1M, that is roughly 14 index points per dollar, which is the value ratio the leaderboards rank on. Median output speed is 96 tokens per second, with 1.88s to the first token.

The context window is 65,536 tokens, with an output limit of 16,384 tokens. It supports tool use and structured output. Accepted input modalities are Text, Video, Audio, and Image. The weights are open, so it can also be self-hosted or served through a gateway of your choice. Its training knowledge cuts off at 2024-04.

Specs & pricing

Input / output per 1M tokens
Reference price·NovitaAI
$0.25 / $0.97
Blended $0.43 · Cache read —
Lowest paid·NovitaAIGateway
$0.25 / $0.97
Blended $0.43
Context
65,536
Output limit
16,384
Knowledge cutoff
2024-04
Released / updated
2025-09-24 / 2025-09-24
Capabilities
Reasoning✓ Tool use✓ Structured output✓ Temperature✓ Attachments
Modalities
TextVideoAudioImage

Quality & performanceArtificial Analysis · Intelligence Index v4.3

Intelligence6
Value14
Coding—
Agentic—
Output speed96 tok/s
TTFT1.88 s
Value formulaIQ 6 ÷ min blended $0.430 = 14

Quality is independently evaluated by Artificial Analysis. Speed/latency are model-level medians.

Available at 1 providers1 with public prices

ProviderTierInputOutputCache readCache writeContextOutput limitStatus
NovitaAIGateway$0.25$0.97——65,53616,384

Sorted by blended price (input×0.75 + output×0.25) asc. The official channel always shows regardless of rank. Whether a gateway's low price is actually usable can't be verified.

Audio token pricing1 of 1 providers

ProviderAudio inAudio out
NovitaAI$2.208.8×$1.791.8×

Audio tokens are priced on a separate scale from text tokens, so these are not comparable with the text prices above. The multiplier compares each price with the same provider's text price for the same direction.

Your usage cost

1NovitaAI$98.50
The cheapest paid channel is the only channel.

Price historyone sample accumulated per data sync

Input listOutput listMin blended
$0.97$02026-08-052026-08-132026-08-05 · Input list $0.252026-08-06 · Input list $0.252026-08-07 · Input list $0.252026-08-08 · Input list $0.252026-08-09 · Input list $0.252026-08-10 · Input list $0.252026-08-11 · Input list $0.252026-08-12 · Input list $0.252026-08-13 · Input list $0.252026-08-05 · Output list $0.972026-08-06 · Output list $0.972026-08-07 · Output list $0.972026-08-08 · Output list $0.972026-08-09 · Output list $0.972026-08-10 · Output list $0.972026-08-11 · Output list $0.972026-08-12 · Output list $0.972026-08-13 · Output list $0.972026-08-05 · Min blended $0.432026-08-06 · Min blended $0.432026-08-07 · Min blended $0.432026-08-08 · Min blended $0.432026-08-09 · Min blended $0.432026-08-10 · Min blended $0.432026-08-11 · Min blended $0.432026-08-12 · Min blended $0.432026-08-13 · Min blended $0.43

Artificial Analysis evaluations9 items

GPQA Diamond62.0%
Humanity's Last Exam4.6%
MMLU-Pro72.5%
LiveCodeBench42.2%
Terminal-Bench Hard1.5%
AIME 202552.3%
τ²-Bench Telecom16.4%
AA-LCR0.0%
IFBench31.2%

Individual evaluations run by Artificial Analysis, on the same reasoning tier as the intelligence score above. Each benchmark has its own task set and harness, so rows are not comparable with one another. The Intelligence Index above draws on a different, newer set of evaluations.

Related models

Qwen-Image-2.1same series$0 / $0Qwen 3.8 27B Hemingwaysame series$0.25 / $1.50Qwen 3.8 27B Cybersecuritysame series$0.10 / $0.60Gemma 3 4B ITcheaper alternative$0.20 / $0.20Mistral Nemocheaper alternative$0.15 / $0.15Ministral 3Bcheaper alternative$0.04 / $0.04Qwen3-Embedding-8Bcheaper alternative$0.12 / $0.12
Data partly from models.dev (MIT) · NovitaAI official docs ↗