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Qwen: Qwen3 235B A22B Thinking 2507

Descrizione della fonte (inglese)

Qwen3-235B-A22B-Thinking-2507 is a high-performance, open-weight Mixture-of-Experts (MoE) language model optimized for complex reasoning tasks. It activates 22B of its 235B parameters per forward pass and natively supports up to 262,144...

Vedi la fonte su OpenRouter Hugging Face
Panoramica

Specifiche del modello

Contesto
131.072 tokens
Output massimo
117.964 tokens
Architettura
text->text
Tokenizer
Qwen3
Limite di conoscenza
2025-06-30
Moderato
No
OPENROUTER

Prezzi completi

Tariffe sincronizzate da OpenRouter, per milione di token.

Input
$0.23
per milione di token
Output
$2.3
per milione di token
API

Configurazione del modello

Ragionamento

Ragionamento obbligatorio
Sì
Parametri predefiniti
No
API

Avvio rapido

Imposta OPENROUTER_API_KEY localmente. Python richiede requests; JavaScript viene eseguito in Node.js. Conserva la chiave sul server.

Documentazione API

curl --fail-with-body https://openrouter.ai/api/v1/chat/completions \
  -H "Authorization: Bearer $OPENROUTER_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"model":"qwen/qwen3-235b-a22b-thinking-2507","messages":[{"role":"user","content":"Hello!"}]}'
Capacità e modalità

Input → Output

Input
text
Output
text
Ragionamento

No

API

Parametri API supportati

frequency_penaltyinclude_reasoninglogprobsmax_tokenspresence_penaltyreasoningrepetition_penaltyresponse_formatseedstoptemperaturetool_choicetoolstop_ktop_logprobstop_p
Provider disponibili

3 provider

Verificato: 7 settembre 2026

Provider live su OpenRouter

Disponibilità, latenza, throughput e routing cambiano continuamente. Consulta la fonte per i dati correnti.

OpenRouter

Alibaba

Non indicato
Contesto
131K
Output massimo
118K
Input
$0.23
Output
$2.3
Lettura cache
Non indicato
Scrittura cache
Non indicato

Novita

fp8
Contesto
131K
Output massimo
33K
Input
$0.3
Output
$3
Lettura cache
Non indicato
Scrittura cache
Non indicato

Venice

fp8
Contesto
128K
Output massimo
16K
Input
$0.45
Output
$3.5
Lettura cache
Non indicato
Scrittura cache
Non indicato
qwen

4 modelli

Tutti i modelli
qwen logoqwen

Qwen: Qwen3.8 Omni Flash

Qwen3.8 Omni Flash is an omni-modal reasoning model from Alibaba, the first Qwen model built around agentic capabilities with native audio-video understanding. It is suited for audio-video analysis and summarization,...

Contesto
1M
Input
text · image · audio · video
Output
text
Input: $0.15Output: $0.47per milione di token
Vedi i dettagli del modello →
qwen logoqwen

Qwen: Qwen3.8 Max (0902)

Qwen3.8 Max 0902 is an updated snapshot of Qwen3.8 Max from Alibaba's Qwen team. It is a 2.4-trillion-parameter mixture-of-experts model that accepts text, image, and video input and returns text,...

Contesto
1M
Input
text · image · video
Output
text
Input: $2Output: $6per milione di token
Vedi i dettagli del modello →
qwen logoqwen

Qwen: Qwen3.8 Flash

Qwen3.8 Flash is a multimodal reasoning model from Alibaba. It is suited for coding assistance, agentic workflows, visual understanding, document and codebase analysis, desktop interaction, chart analysis, and long-video analysis.

Contesto
1M
Input
text · image · video
Output
text
Input: $0.15Output: $0.47per milione di token
Vedi i dettagli del modello →
qwen logoqwen

Qwen: Qwen3.8 27B

Qwen3.8 27B is an open-weight dense vision-language model from Qwen. It is suited for coding, professional workflows, research, multimodal interaction, and long-running agent tasks, with flexible thinking that can be...

Contesto
1M
Input
text · image · video
Output
text
Input: $0.42Output: $3per milione di token
Vedi i dettagli del modello →