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Qwen 3.5 397B

alibaba/qwen3.5-397b-a17b
  • Alibaba
  • Family · Qwen3
  • Released 16 Feb 2026
  • Open weights
  • Text · Image · Video → Text
  • Tools · JSON · Vision
Spec & list price
Context256K
Max output236K
Input / 1M$0.50
Output / 1M$3.607.2× input
Scores · standing
Intelligence21.4#129/489
Coding48.2#72/196
Usage
Tokens / day1.2B▲ 3.2% 7d
Usage rank#189
Requests / day129.4K
Tool calls / req0.27
Per request · 30 days
Avg input8.1K0.5× median
Avg output1.3K1.9× median
Cache hit37%0.5× median
Reasoning share73%1.3× median
Tool-call failures3.9%2.1× median

Consumption

4.0B8.0B12.0B3 Oct17 Oct1 Nov
Peak 13.0B 29 SepLow 630.6M 25 OctRank today #189

News & trends

184 mentions this week ▲ 36%Qwen3 family · videos, posts, articles · 30 days
Trending · 14 days · Qwen3 family
News · latest from Qwen3

Benchmarks

bar = share of the top score · Benchmark data: Artificial Analysis
τ²-Bench#18 of 319
95.6%
IFBench#11 of 328
78.8%
GPQA Diamond#53 of 445
89.3%
Long-context reasoning#85 of 393
77.3%
SciCode#86 of 160
44.8%
Terminal-Bench Hard#35 of 311
40.9%
Coding index#72 of 196
48.2
Terminal-Bench 2.1#75 of 182
51.3%
Speed · median across 10 providers, latest day
Output speed#232/33449 tok/s1.3× slower than median
Fastest provider64 tok/sbest of 10 providers
First token#1891.22 s1.2× longer than median
First answer token#321.74 sthinking included

#23 cheapest of 29 with a similar score

Value
Intelligence Index
010203040$0.1$0.2$0.5$1$2$5Qwen 3.5 397B
Blended price per 1M tokens (log)
Family progress
Intelligence Index
010203040MayJulSepNov2026MarMayJulQwen 3.5 397B
  • Family releases33.7

Technical details

Tokenizer
Qwen3
License
Apache 2.0
Parameters
403B
Moderation
none
Downloads · likes
980.3K · 1.6K
Request parameters 19
  • tools
  • tool_choice
  • response_format
  • structured_outputs
  • reasoning
  • include_reasoning
  • temperature
  • top_p
  • top_k
  • min_p
+9 more
  • max_tokens
  • stop
  • seed
  • frequency_penalty
  • logit_bias
  • logprobs
  • presence_penalty
  • repetition_penalty
  • top_logprobs

Interesting facts

  1. 2.2× the output room of similar models (235.9K against a 106.5K median).
  2. Weekdays average 5.2B tokens a day against 3.0B on weekends.

When to use

Best for

  • Agentic tool calling and instruction following
  • Image and video understanding
  • Hard science question answering
  • Long document reasoning with self-hosting

Think twice for

  • Low-cost bulk classification
  • Heavy terminal automation versus top coding models
  • Latency-sensitive simple chat

Research papers

Same family

Qwen3

Alternatives

other vendors · similar capability

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