Skip to main content

Model profile

Qwen3.5 397B (Reasoning)

AlibabaCurrentReleased Feb 16, 2026
Data verified
Overall Score
59.5Public #56 of 200
Arena Elo
1450
Eligible category ranks
0of 8
Price (1M tokens)
$0.6 in / $3.6 out
API pricing
Speed
Not listed
Context
128K

Evidence coverage

17 of 321 tracked benchmarks are published. 0 are verified and 17 provisional. 6 of 8 categories are measured.

Updated July 20, 2026Methodology
Published / tracked
17 / 321
Verified
0
Provisional
17
Categories with evidence
6 / 8

Evidence by category

  • Agentic5 benchmarks
    Reported
  • Coding2 benchmarks
    Reported
  • Reasoning2 benchmarks
    Reported
  • Knowledge6 benchmarks
    Reported
  • Math0 benchmarks
    Not measured
  • Multilingual0 benchmarks
    Not measured
  • Multimodal1 benchmark
    Reported
  • Inst. Following1 benchmark
    Reported
Open WeightSelf-hostReasoning
Confidence:
Low
reasoning

Qwen3.5 397B (Reasoning) ranks #56 out of 200 models on the public leaderboard with an overall score of 59.5/100. It does not yet have enough sourced coverage for BenchLM's verified leaderboard. While not a frontier model, it offers specific advantages depending on the use case.

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 17 of 321 tracked benchmarks. BenchLM only exposes non-generated benchmark rows publicly, so missing categories stay blank until a sourced evaluation is available.

Peer position

Exact provisional scores and ranks for the closest listed peers. A score can appear before a model clears the evidence threshold for a rank, so equal scores can have different rank states.

Range 59.159.77

  1. GLM-5 (Reasoning)
    Z.AI
    #5259.77
    GLM-5 (Reasoning) is #52 with a score of 59.77.
    Compare
  2. Qwen 3.6 Max (preview)
    Alibaba
    #5359.72
    Qwen 3.6 Max (preview) is #53 with a score of 59.72.
    Compare
  3. Kimi K2.5
    Moonshot AI
    #5459.66
    Kimi K2.5 is #54 with a score of 59.66.
    Compare
  4. MiniMax M2.5
    MiniMax
    #5559.52
    MiniMax M2.5 is #55 with a score of 59.52.
    Compare
  5. Qwen3.5 397B (Reasoning)Current model
    Alibaba
    #5659.5
    Qwen3.5 397B (Reasoning) is #56 with a score of 59.5.
  6. Kimi K2.5 (Reasoning)
    Moonshot AI
    #5759.35
    Kimi K2.5 (Reasoning) is #57 with a score of 59.35.
    Compare
  7. GPT-5.2-Codex
    OpenAI
    #5859.1
    GPT-5.2-Codex is #58 with a score of 59.1.
    Compare

Category percentile

More

Relative position among models eligible for each sourced category. A higher percentile means a stronger position within that category's ranked cohort; 100 is highest.

No eligible category percentile is available from the published evidence yet.

Category evidence

Scores and ranks appear only where this model has published benchmark evidence. Categories without displayable source records remain not measured.

Category scores, ranks, weighting, benchmark coverage, and evidence status
CategoryScore
AgenticRank Not rankedWeight 22%5 benchmarksReported74.9
CodingRank Not rankedWeight 20%2 benchmarksReported60.6
ReasoningRank Not rankedWeight 17%2 benchmarksReported80.9
KnowledgeRank Not rankedWeight 12%6 benchmarksReported59.2
MathWeight 5%0 benchmarksNot measuredNot measured
MultilingualWeight 7%0 benchmarksNot measuredNot measured
MultimodalRank Not rankedWeight 12%1 benchmarkReported70.0
Inst. FollowingRank Not rankedWeight 5%1 benchmarkReported89.0

Chatbot Arena performance

Scroll horizontally to inspect confidence intervals and vote counts.

Chatbot Arena Elo, confidence interval, and vote count by evaluation view
ViewEloConfidence intervalVotes
Text Overall1450Not availableNot available

Benchmark Details

Rows below have a displayable published verification record. Each source link and provenance note remains in the page HTML while its category is closed. Source-unverified manual rows and generated rows stay hidden.

Agentic5 benchmarks
AA Agentic IndexReported

Artificial Analysis Agentic Index

19.9%Display only
Source: Artificial Analysis model benchmarksProvenance: Display-only row synced from the current Artificial Analysis model payload. It is excluded from BenchLM weighted scoring.
APEX-Agents-AAReported
15.3%Display only
Source: Artificial Analysis model benchmarksProvenance: Display-only row synced from the current Artificial Analysis model payload. It is excluded from BenchLM weighted scoring.
τ²-bench resultsReported

τ²-Bench Tool-Agent-User Evaluation

95.6%Display only
Source: Artificial Analysis model benchmarksProvenance: Display-only row synced from the current Artificial Analysis model payload. It is excluded from BenchLM weighted scoring.
GDPval-AAReported

GDPval-AA normalized

23.1%Display only
Source: Artificial Analysis model benchmarksProvenance: Display-only row synced from the current Artificial Analysis model payload. It is excluded from BenchLM weighted scoring.
GDPval-AAReported
962Display only
Source: Artificial Analysis model benchmarksProvenance: Display-only row synced from the current Artificial Analysis model payload. It is excluded from BenchLM weighted scoring.
Coding2 benchmarks
AA Coding IndexReported

Artificial Analysis Coding Index

48.2%Display only
Source: Artificial Analysis model benchmarksProvenance: Display-only row synced from the current Artificial Analysis model payload. It is excluded from BenchLM weighted scoring.
AA-SciCodeReported

Artificial Analysis SciCode

42.0%Display only
Source: Artificial Analysis model benchmarksProvenance: Display-only row synced from the current Artificial Analysis model payload. It is excluded from BenchLM weighted scoring.
Reasoning2 benchmarks
AA-LCRReported

Artificial Analysis Long Context Reasoning

65.7%Display only
Source: Artificial Analysis model benchmarksProvenance: Display-only row synced from the current Artificial Analysis model payload. It is excluded from BenchLM weighted scoring.
CritPtReported

Critical Physics Tasks

1.7%Display only
Source: Artificial Analysis model benchmarksProvenance: Display-only row synced from the current Artificial Analysis model payload. It is excluded from BenchLM weighted scoring.
Knowledge6 benchmarks
Artificial Analysis Intelligence IndexReported
33.7%Display only
Source: Artificial Analysis model benchmarksProvenance: Display-only row synced from the current Artificial Analysis model payload. It is excluded from BenchLM weighted scoring.
AA-GPQA DiamondReported

Artificial Analysis GPQA Diamond

89.3%Display only
Source: Artificial Analysis model benchmarksProvenance: Display-only row synced from the current Artificial Analysis model payload. It is excluded from BenchLM weighted scoring.
AA-HLEReported

Artificial Analysis Humanity's Last Exam

27.3%Display only
Source: Artificial Analysis model benchmarksProvenance: Display-only row synced from the current Artificial Analysis model payload. It is excluded from BenchLM weighted scoring.
AA-Omniscience IndexReported

Artificial Analysis Omniscience Index

-29.8%Display only
Source: Artificial Analysis model benchmarksProvenance: Display-only row synced from the current Artificial Analysis model payload. It is excluded from BenchLM weighted scoring.
AA-Omniscience AccuracyReported

Artificial Analysis Omniscience Accuracy

31.4%Display only
Source: Artificial Analysis model benchmarksProvenance: Display-only row synced from the current Artificial Analysis model payload. It is excluded from BenchLM weighted scoring.
AA-Omniscience Hallucination RateReported

Artificial Analysis Omniscience Hallucination Rate

89.1%Display only
Source: Artificial Analysis model benchmarksProvenance: Display-only row synced from the current Artificial Analysis model payload. It is excluded from BenchLM weighted scoring.
Multimodal1 benchmark
AA-MMMU-ProReported

Artificial Analysis MMMU-Pro

77.3%Display only
Source: Artificial Analysis model benchmarksProvenance: Display-only row synced from the current Artificial Analysis model payload. It is excluded from BenchLM weighted scoring.
Inst. Following1 benchmark
AA-IFBenchReported

Artificial Analysis IFBench

78.8%Display only
Source: Artificial Analysis model benchmarksProvenance: Display-only row synced from the current Artificial Analysis model payload. It is excluded from BenchLM weighted scoring.

Qwen3.5 397B Family

Reasoning

Canonical Entry

Qwen3.5 397B

Frequently Asked Questions

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

Qwen3.5 397B (Reasoning) has 17 published benchmark scores on BenchLM, but it does not yet have enough non-generated coverage to receive a global overall rank.

Is Qwen3.5 397B (Reasoning) good for knowledge and understanding?

Qwen3.5 397B (Reasoning) has visible benchmark coverage in knowledge and understanding, but BenchLM does not currently assign it a global category rank there.

Is Qwen3.5 397B (Reasoning) good for coding and programming?

Qwen3.5 397B (Reasoning) has visible benchmark coverage in coding and programming, but BenchLM does not currently assign it a global category rank there.

Is Qwen3.5 397B (Reasoning) good for reasoning and logic?

Qwen3.5 397B (Reasoning) has visible benchmark coverage in reasoning and logic, but BenchLM does not currently assign it a global category rank there.

Is Qwen3.5 397B (Reasoning) good for agentic tool use and computer tasks?

Qwen3.5 397B (Reasoning) has visible benchmark coverage in agentic tool use and computer tasks, but BenchLM does not currently assign it a global category rank there.

Is Qwen3.5 397B (Reasoning) good for multimodal and grounded tasks?

Qwen3.5 397B (Reasoning) has visible benchmark coverage in multimodal and grounded tasks, but BenchLM does not currently assign it a global category rank there.

Is Qwen3.5 397B (Reasoning) good for instruction following?

Qwen3.5 397B (Reasoning) has visible benchmark coverage in instruction following, but BenchLM does not currently assign it a global category rank there.

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 17 published benchmark scores out of the 321 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 published context window of 128K, which determines how much text it can process in a single interaction.

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

Choose with this week’s evidence

Join 2,000+ readers for ranking moves, new releases, pricing changes, and the evidence behind them.

Free. One email per week.