Qwen/Qwen3-Omni-30B-A3B-Instruct
alibaba/qwen3-omni-30b-a3b-instructVon Alibaba (Qwen) · Familie: qwen · veröffentlicht 2025-10-04 · Wissensstand: 2024-04
Prices in USD per 1M tokens. Unknown means the provider does not publish per-token pricing.
Fähigkeiten
Model fit scores
0–100 · higher is betterThese scores reward declared capabilities, context size, price and provider availability — they are not benchmark results. Use them as a directional signal alongside your own evaluation.
Coding63
- Tool calling40/40
- Structured output20/20
- Reasoning0/10
- Context window (100K → 1M)0/20
- Provider availability3/10
Agents78
- Tool calling35/35
- Structured output25/25
- Reasoning0/15
- Output token limit15/15
- Provider availability3/10
JSON / structured output99
- Structured output / JSON mode50/50
- Tool calling20/20
- Temperature control10/10
- Price-friendly for high-volume19/20
Cost efficiency70
- Headline price (log-scaled)70/95
- Has prompt-cache pricing0/5
Long context0
- Context ≥ 100K0/100
Vision75
- Accepts image input50/50
- Context window (10K → 1M)12/30
- Has published price10/10
- Provider availability3/10
Production-readiness71
- Number of independent providers15/40
- Has published per-token price20/20
- Context window ≥ 8K15/15
- No data inconsistencies across providers6/10
- Official model (not derivative)15/15
Cost Efficiency Index
Open full calculator →Estimated cost using the recommended provider's headline rate. Each scenario fixes average input/output tokens — the assumptions are shown in the third column.
| Scenario | Cost | Assumption |
|---|---|---|
RAG answer per 1,000 RAG answers | $0.70 < $0.01 per request | 5K input tokens (query + 4 retrieved chunks of ~1K each) and a 500-token answer. Typical SaaS knowledge-base bot. |
Support ticket triage per 10,000 tickets | $1.40 < $0.01 per request | 1K input tokens (ticket body + system prompt) and a 100-token JSON classification reply. High-volume customer support. |
Data extraction per 1,000 documents | $0.40 < $0.01 per request | 2K input tokens (a single document page) and a 500-token JSON extraction. ETL / invoice / form pipelines. |
Code review per 1,000 PRs | $1.20 < $0.01 per request | 8K input tokens (diff + surrounding files) and a 1K-token review comment. PR-bot workloads. |
Agent step per 1,000 steps | $1.44 < $0.01 per request | 12K input tokens (long-running tool history) and a 600-token tool-call decision. Cost per agent step. |
Preis-Details
Empfohlene Preise von siliconflow-cn · Qwen/Qwen3-Omni-30B-A3B-Instruct
Bei 3 Anbietern verfügbar
| Anbieter | Anbieter-Modell-ID | Eingabe / 1M | Ausgabe / 1M | Kontext | Veröffentlicht |
|---|---|---|---|---|---|
| SiliconFlow (China) siliconflow-cn | Qwen/Qwen3-Omni-30B-A3B-Instruct | $0.100 | $0.400 | 66K | 2025-10-04 |
| NovitaAI novita-ai | qwen/qwen3-omni-30b-a3b-instruct | $0.250 | $0.970 | 66K | 2025-09-24 |
| SiliconFlow siliconflow | Qwen/Qwen3-Omni-30B-A3B-Instruct | $0.100 | $0.400 | 66K | 2025-10-04 |
Datenunterschiede zwischen Anbietern
- context_window varies: 65536, 66000
- modalities varies across offerings
Anbieter melden unterschiedliche Werte für dieses Modell. Die Schnellinfos oben nutzen den repräsentativen Anbieter; pro Anbieter siehe Tabelle.
Frequently asked questions
How much does Qwen/Qwen3-Omni-30B-A3B-Instruct cost?
Qwen/Qwen3-Omni-30B-A3B-Instruct costs $0.100 per 1M input tokens and $0.400 per 1M output tokens, sourced from siliconflow-cn. Cache reads, audio tokens and >200K-context tiers (where applicable) are listed in the Pricing detail block above.
What is the context window of Qwen/Qwen3-Omni-30B-A3B-Instruct?
Qwen/Qwen3-Omni-30B-A3B-Instruct has a context window of 66K tokens, with a max output of 66K tokens per reply. This is the total combined size of prompt + completion.
Does Qwen/Qwen3-Omni-30B-A3B-Instruct support tool calling?
Yes. Qwen/Qwen3-Omni-30B-A3B-Instruct supports tool calling (function calling). This makes it suitable for production agent and automation workloads where the model has to invoke external functions reliably.
Does Qwen/Qwen3-Omni-30B-A3B-Instruct support structured output / JSON mode?
Yes. Qwen/Qwen3-Omni-30B-A3B-Instruct supports structured output / JSON-schema-constrained decoding. This makes it suitable for production agent and automation workloads where the model has to invoke external functions reliably.
Can Qwen/Qwen3-Omni-30B-A3B-Instruct accept image input?
Yes. Qwen/Qwen3-Omni-30B-A3B-Instruct accepts both text and image input. Vision pricing per image is usually billed on top of the regular token rate — check Alibaba (Qwen)'s docs for the exact rule.
Is Qwen/Qwen3-Omni-30B-A3B-Instruct open-weight?
No. Qwen/Qwen3-Omni-30B-A3B-Instruct is a proprietary model — only Alibaba (Qwen) (and any approved hosting partners) can serve it. The pricing above reflects the cheapest API access.
What are the best alternatives to Qwen/Qwen3-Omni-30B-A3B-Instruct?
If Qwen/Qwen3-Omni-30B-A3B-Instruct doesn't fit, consider Qwen3.5 397B-A17B, Qwen3 32B, Qwen3 235B A22B Instruct 2507. Each one targets the same use case — see the Related links below for direct head-to-head pages.
Where does this data come from?
All numbers come from the public models.dev API and are normalised into a single canonical model record. We re-pull daily and write any changes (price, context, capability) to the /changelog page.
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- Qwen3 235B A22B Instruct 2507$0.10 in / $0.10 out
- Qwen3-Coder 480B-A35B Instruct$1.50 in / $7.50 out
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Capability lists this model is in
Zuletzt aktualisiert:
Data is sourced from models.dev and normalized for comparison. Prices and capabilities may change. Always verify critical production decisions with the provider's official documentation.