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Model profile

Qwen3.5 Plus

AlibabaCurrentReleased Mar 4, 2026
Data verified
Overall Score
47.2Public #138 of 200
Arena Elo
Not listed
Eligible category ranks
1of 8
Price (1M tokens)
$0.4 in / $2.4 out
API pricing
Speed
Not listed
Context
1M

Evidence coverage

4 of 323 tracked benchmarks are published. 4 are verified and 0 provisional. 3 of 8 categories are measured.

Updated July 23, 2026Methodology
Published / tracked
4 / 323
Verified
4
Provisional
0
Categories with evidence
3 / 8

Evidence by category

  • Agentic1 benchmark
    Verified
  • Coding1 benchmark
    Verified
  • Reasoning0 benchmarks
    Not measured
  • Knowledge0 benchmarks
    Not measured
  • Math2 benchmarks
    Verified
  • Multilingual0 benchmarks
    Not measured
  • Multimodal0 benchmarks
    Not measured
  • Inst. Following0 benchmarks
    Not measured
ProprietaryReasoning
Confidence:
Low
base

Qwen3.5 Plus ranks #138 out of 200 models on the public leaderboard with an overall score of 47.2/100. 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 Plus is a proprietary model with a 1M 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.

This profile currently has 4 of 323 tracked benchmarks. BenchLM only exposes non-generated benchmark rows publicly, so missing categories stay blank until a sourced evaluation is available.

Its strongest category is Agentic (#59). This performance profile makes it particularly useful for coding agents, browser research, and computer-use workflows.

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 47.247.74

  1. Claude 3.5 Sonnet
    Anthropic
    #13247.74
    Claude 3.5 Sonnet is #132 with a score of 47.74.
    Compare
  2. GLM-4.5-Air
    Z.AI
    #13347.7
    GLM-4.5-Air is #133 with a score of 47.7.
    Compare
  3. Qwen3.5 Flash
    Alibaba
    #13447.65
    Qwen3.5 Flash is #134 with a score of 47.65.
    Compare
  4. Command A+
    Cohere
    #13547.51
    Command A+ is #135 with a score of 47.51.
    Compare
  5. o3-mini
    OpenAI
    #13647.41
    o3-mini is #136 with a score of 47.41.
    Compare
  6. Gemma 4 12B
    Google
    #13747.29
    Gemma 4 12B is #137 with a score of 47.29.
    Compare
  7. Qwen3.5 PlusCurrent model
    Alibaba
    #13847.2
    Qwen3.5 Plus is #138 with a score of 47.2.

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.

  1. Agentic51%
    Eligible cohort rank #59 of 119Category score 48.1

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 #59 of 119Percentile 51stWeight 22%1 benchmarkVerified48.1
CodingWeight 20%1 benchmarkVerifiedScore pending
ReasoningWeight 17%0 benchmarksNot measuredNot measured
KnowledgeWeight 12%0 benchmarksNot measuredNot measured
MathRank Not rankedWeight 5%2 benchmarksVerified39.7
MultilingualWeight 7%0 benchmarksNot measuredNot measured
MultimodalWeight 12%0 benchmarksNot measuredNot measured
Inst. FollowingWeight 5%0 benchmarksNot measuredNot measured

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.

Agentic1 benchmark
JobBenchBenchmark exact
18.5%Display only
Source: JobBench paperProvenance: JobBench reports Qwen-3.5-Plus under OpenCode on the main-set leaderboard. BenchLM stores the reported main-set score.
Coding1 benchmark
Vibe Code BenchBenchmark exact

Vibe Code Bench v1.1

15.74%Display only
Source: Vals AI: Vibe Code Bench v1.1Provenance: Vals Vibe Code Bench v1.1 reports this exact row under alibaba/qwen3.5-plus-thinking; BenchLM stores it on the local vibeCodeBench key.
Math2 benchmarks
FrontierMath v2 (Tiers 1-3)Benchmark exact

FrontierMath v2 Tiers 1-3

21.034%Weighted 30%
Source: Epoch AI FrontierMath v2 leaderboardProvenance: Epoch AI reports FrontierMath v2 Tiers 1-3 at 21.034% for qwen3.5-plus. BenchLM selects the highest published thinking effort for the model and stores the v2 benchmark slice separately.
FrontierMath v2 (Tier 4)Benchmark exact

FrontierMath v2 Tier 4

2.083%Weighted 10%
Source: Epoch AI FrontierMath v2 leaderboardProvenance: Epoch AI reports FrontierMath v2 Tier 4 at 2.083% for qwen3.5-plus. BenchLM selects the highest published thinking effort for the model and stores the v2 benchmark slice separately.

Frequently Asked Questions

How does Qwen3.5 Plus perform overall in AI benchmarks?

Qwen3.5 Plus has 4 published benchmark scores on BenchLM, but it does not yet have enough non-generated coverage to receive a global overall rank.

Is Qwen3.5 Plus good for coding and programming?

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

Is Qwen3.5 Plus good for mathematics?

Qwen3.5 Plus has visible benchmark coverage in mathematics, but BenchLM does not currently assign it a global category rank there.

Is Qwen3.5 Plus good for agentic tool use and computer tasks?

Qwen3.5 Plus ranks #59 out of 119 models in agentic tool use and computer tasks benchmarks with an average score of 48.1. There are stronger options in this category.

Does Qwen3.5 Plus have full benchmark coverage on BenchLM?

Not yet. Qwen3.5 Plus currently has 4 published benchmark scores out of the 323 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 Plus?

Qwen3.5 Plus has a published context window of 1M, which determines how much text it can process in a single interaction.

Last updated: July 23, 2026 · Runtime metrics stay blank until BenchLM has a sourced snapshot.

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