MODELS / ALIBABA

Qwen3 Next 80B A3B Thinking

Qwen3-Next uses a highly sparse MoE design: 80B total parameters, but only ~3B activated per inference step. Experiments show that, with global load balancing, increasing total expert parameters while keeping activated experts fixed steadily reduces training loss.Compared to…

TEXTREASONINGREASONINGTOOL-USESTRUCTURED-OUTPUT
262.1K
CONTEXT WINDOW
-
MAX OUTPUT TOKENS
$0.15
INPUT PRICE / 1M TOKENS
$1.20
OUTPUT PRICE / 1M TOKENS
QUICKSTART

Call it in one request.

OpenAI-compatible: change the base URL, and the setup is complete.

curl https://enterprise.blackbox.ai/v1/chat/completions \
  -H "Authorization: Bearer $BLACKBOX_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "blackboxai/alibaba/qwen3-next-80b-a3b-thinking",
    "messages": [{ "role": "user", "content": "Hello!" }],
    "stream": true
  }'
SPECIFICATIONS

The full spec sheet.

Context, pricing, modalities, routing, and deployment: everything Qwen3 Next 80B A3B Thinking supports, in one table.

MODEL ID
blackboxai/alibaba/qwen3-next-80b-a3b-thinking
DEVELOPED BY
Alibaba
MODEL TYPE
Text
RELEASED
Sep 11, 2025
CONTEXT WINDOW
262.1K
MAX OUTPUT TOKENS
-
INPUT MODALITIES
text
OUTPUT MODALITIES
text
INPUT PRICE
$0.15 / 1M tokens
OUTPUT PRICE
$1.20 / 1M tokens
REASONING
Supported
DATA RETENTION
Standard retention
DEDICATED DEPLOYMENT
Enterprise · single-tenant
SUPPORTED PARAMETERS
max_tokenstemperaturestoptoolstool_choicereasoninginclude_reasoningresponse_formatstructured_outputs