A

Alibaba: qwen3-next-80b-a3b-instruct:free

qwen3-next-80b-a3b-instruct:free
131.1K contesto65.5K outputStrumentiCacheStrutturato
Rilasciato Sep 11, 2025Limite delle conoscenze Sep 2025Aggiornato Jun 18, 2026

Qwen3-Next-80B-A3B-Instruct is an instruction-tuned chat model in the Qwen3-Next series optimized for fast, stable responses without “thinking” traces. It targets complex tasks across reasoning, code generation, knowledge QA, and multilingual use, while remaining robust on alignment and formatting. Compared with prior Qwen3 instruct variants, it focuses on higher throughput and stability on ultra-long inputs and multi-turn dialogues, making it well-suited for RAG, tool use, and agentic workflows that require consistent final answers rather than visible chain-of-thought. The model employs scaling-efficient training and decoding to improve parameter efficiency and inference speed, and has been validated on a broad set of public benchmarks where it reaches or approaches larger Qwen3 systems in several categories while outperforming earlier mid-sized baselines. It is best used as a general assistant, code helper, and long-context task solver in production settings where deterministic, instruction-following outputs are preferred.

Modalità chatTokenizer Qwen3Quantizzazione fp8Qwen/Qwen3-Next-80B-A3B-Instruct

Prezzi

Prezzo di input
$0.00/ 1 M token
Prezzo di output
$0.00/ 1 M token
Finestra di contesto 131.1K tokenEndpoint compatibili openaiProvider Alibaba

Disponibilità

Performance

Caricamento dati di performance...

Utilizzo e classifica

Caricamento utilizzo...

Parametri supportati

Tutti i provider = supportato da ogni upstream che serve questo modello. Alcuni provider = dipende dall'upstream che gestisce la richiesta. Predefinito = il valore inviato quando non lo imposti.

ParametroProviderPredefinito
frequency_penaltyTutti i provider-
logit_biasAlcuni provider-
logprobsTutti i provider-
max_tokensTutti i provider-
min_pAlcuni provider-
presence_penaltyTutti i provider-
repetition_penaltyTutti i provider-
response_formatTutti i provider-
seedTutti i provider-
stopTutti i provider-
structured_outputsTutti i provider-
temperatureTutti i provider-
tool_choiceTutti i provider-
toolsTutti i provider-
top_kTutti i provider-
top_logprobsTutti i provider-
top_pTutti i provider-

Domande frequenti

Modelli simili