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Qwen3.5 397B (Reasoning)

AlibabaCurrentReleased Feb 16, 2026
Overall Score
Coming soon
Arena Elo
1450
Categories Ranked
7of 8
Price (1M tokens)
$0 in / $0 out
Speed
N/A
Context
128K
Open WeightReasoning
Confidence
reasoning

BenchLM is tracking Qwen3.5 397B (Reasoning), but sourced benchmark results are not published on the site yet. This page currently shows the model metadata we can verify now, and score-level benchmark coverage will appear once public evaluations land.

Qwen3.5 397B (Reasoning) is a open weight model with a 128K token context window. It uses explicit chain-of-thought reasoning, which typically improves performance on math and complex reasoning tasks at the cost of higher latency and token usage.

Qwen3.5 397B (Reasoning) sits inside the Qwen3.5 397B family alongside Qwen3.5 397B. This profile currently has 0 sourced benchmarks on BenchLM, so the benchmark sections below are intentionally marked as coming soon.

Its strongest category is Mathematics (#9), while its weakest is Multimodal & Grounded (#55). This performance profile makes it particularly strong for mathematical reasoning, scientific computing, and quantitative analysis.

Ranking Distribution

Category rank across 8 benchmark categories — sorted by best rank

Category Performance

Scores across all benchmark categories (0-100 scale)

Category Breakdown

Agentic

#16
75.1/ 100
Weight: 22%0 benchmarks
Terminal-Bench 2.0BrowseCompOSWorld-VerifiedGAIATAU-benchWebArena

Coding

87.3/ 100
Weight: 20%0 benchmarks
SWE-bench VerifiedLiveCodeBenchSWE-bench ProSWE-RebenchSciCode

Reasoning

#14
82.1/ 100
Weight: 17%0 benchmarks
MuSRLongBench v2MRCRv2ARC-AGI-2

Knowledge

#19
80.0/ 100
Weight: 12%0 benchmarks
GPQASuperGPQAMMLU-ProHLEFrontierScienceSimpleQA

Math

#9
92.3/ 100
Weight: 5%0 benchmarks
AIME 2025BRUMO 2025MATH-500FrontierMath

Multilingual

#13
85.6/ 100
Weight: 7%0 benchmarks
MGSMMMLU-ProX

Multimodal

#55
59.1/ 100
Weight: 12%0 benchmarks
MMMU-ProOfficeQA Pro

Inst. Following

#29
81.5/ 100
Weight: 5%0 benchmarks
IFEvalIFBench

Chatbot Arena Performance

Text Overall1450

Benchmark Details

Only benchmark rows with an attached exact-source record are shown here. Source-unverified manual rows and generated rows are hidden from model pages.

Qwen3.5 397B Family

Reasoning

Canonical Entry

Qwen3.5 397B

Frequently Asked Questions

How does Qwen3.5 397B (Reasoning) perform overall in AI benchmarks?

BenchLM is tracking Qwen3.5 397B (Reasoning), but sourced benchmark coverage is still coming soon. We currently list its creator, model type, and context window while we wait for public benchmark results.

Is Qwen3.5 397B (Reasoning) open source?

Yes, Qwen3.5 397B (Reasoning) is an open weight model created by Alibaba, meaning it can be downloaded and run locally or fine-tuned for specific use cases.

Which sibling models are related to Qwen3.5 397B (Reasoning)?

Qwen3.5 397B (Reasoning) belongs to the Qwen3.5 397B family. Related variants on BenchLM include Qwen3.5 397B.

Does Qwen3.5 397B (Reasoning) have full benchmark coverage on BenchLM?

Not yet. Qwen3.5 397B (Reasoning) currently has 0 published benchmark scores out of the 152 benchmarks BenchLM tracks. BenchLM only exposes non-generated public benchmark rows, so missing categories stay blank until a sourced evaluation is available.

What is the context window size of Qwen3.5 397B (Reasoning)?

Qwen3.5 397B (Reasoning) has a context window of 128K, which determines how much text it can process in a single interaction.

Last updated: April 20, 2026 · Runtime metrics stay blank until BenchLM has a sourced snapshot.

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