Models / Qwen
Qwen3.5 397B A17B
by Qwen ·
qwen/qwen3.5-397b-a17bThe Qwen3.5 series 397B-A17B native vision-language model is built on a hybrid architecture that integrates a linear attention mechanism with a sparse mixture-of-experts model, achieving higher inference efficiency. It delivers...
reasoningtool-usevisionreleased 2026-02-16
Legal score · raw
-
not yet benchmarked
Context
262K
max output 236K
Input
$0.63
per 1M tokens
Output
$4.50
per 1M tokens
Suite cost
-
no run recorded
Prompt caching
Grounded answers re-send the same retrieved authority every turn, so a cached read is what a long matter actually costs. Prices are per 1M tokens, from the provider’s own catalog.
Cache read
$0.38
1.7x cheaper than uncached
Uncached input
$0.63
per 1M tokens
Capabilities
Modalities
in textimagevideo
out text
Request parameters it accepts
frequency_penaltyinclude_reasoninglogit_biaslogprobsmax_tokensmin_ppresence_penaltyreasoningrepetition_penaltyresponse_formatseedstopstructured_outputstemperaturetool_choicetoolstop_ktop_logprobstop_p
Benchmark results
This model has not been run through the suite yet. See Humanity's Last Lawsuit for the benchmark models are ranked on.