Data as of November 12, 2026 · How the score is built
Decision readingQwen3.5 Plus scores 49.1 out of 100 and ranks #111 of 215. This profile shows 4 source-displayable benchmark rows. API pricing is $0.4 input and $2.4 output per million tokens.
Email me when its price, rank or availability changes.
Capability
49.1/100
field median 49.4#111 of 215 ranked models
Public
#111of 215
Verified —
Price
$0.40input / $2.40 output
input median $0.60blended $1.40
Speed
Not measured
field median 92 tok/sTime to first token not measured
Context
1Mtokens
field median 256,000Reported for this model; direct source link not stored
Decision snapshot
Each value carries a field reference instead of floating alone. Markers compare this model with the current ranked and priced catalog; they are not absolute quality thresholds.
Strongest published evidence
Published rows are visible, but no category has enough eligible evidence for a comparative rank.
Validate before choosing
4 published rows leave some tracked benchmark slots empty. Independent runtime speed has not been measured.
Source-linked · 4 displayable benchmark rows
Is Qwen3.5 Plus right for your job?
Its place on the LLM Selector’s job rankings, the same order the job pages publish. Describe your own job to see where it stands for that.
Where Qwen3.5 Plus ranks by benchmark score:
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Category score record
Scores and ranks appear only where published evidence can be displayed. The table keeps the score, weight, cohort, and evidence state together.
| Category | Score | Rank | Percentile | Weight | Benchmarks | Evidence |
|---|---|---|---|---|---|---|
| AgenticWeight 22%1 benchmarkVerified | Score pending | 1 benchmark | Verified | |||
| CodingWeight 20%1 benchmarkVerified | Score pending | 1 benchmark | Verified | |||
| ReasoningWeight 17%0 benchmarksNot measured | Not measured | 0 benchmarks | Not measured | |||
| MultimodalWeight 12%0 benchmarksNot measured | Not measured | 0 benchmarks | Not measured | |||
| KnowledgeWeight 12%0 benchmarksNot measured | Not measured | 0 benchmarks | Not measured | |||
| MultilingualWeight 7%0 benchmarksNot measured | Not measured | 0 benchmarks | Not measured | |||
| Inst. FollowingWeight 5%0 benchmarksNot measured | Not measured | 0 benchmarks | Not measured | |||
| MathWeight 5%0 benchmarksNot measured | Not measured | 0 benchmarks | Not measured |
4 of 906 tracked benchmark slots have displayable evidence · bars run 0–100
Coverage detailsHow much of this is verified
Coverage is split by category so a strong number never hides a thin evidence base. Verified means the row is tied to a published source; provisional rows remain visible but separate.
- Agentic1/1 verified
- Coding1/1 verified
- ReasoningNot measured
- MultimodalNot measured
- KnowledgeNot measured
- MultilingualNot measured
- Inst. FollowingNot measured
- MathNot measured
Benchmark ledger
Every result says who ran the test. Coding opens by default. The tick marks the best source-verified result in the catalog; provisional leaders do not set the reference.
Coding1 row
| Benchmark | Score | Versus best verified row | Gap | Who ran it | Use in ranking |
|---|---|---|---|---|---|
| Vibe Code BenchVibe Code Bench v1.1 | 15.74% | Best verified: Gemini 4 Argon · 91.90% | Gap76.2 behind | Run by Vibe Code Bench | Shown only |
Agentic1 row
| Benchmark | Score | Versus best verified row | Gap | Who ran it | Use in ranking |
|---|---|---|---|---|---|
| JobBench | 18.5% | Best verified: Muse Wonder Full · 75.3% | Gap56.8 behind | Run by JobBench | Counts6% ref. weight |
External signals2 rows
| Benchmark | Score | Versus best verified row | Gap | Who ran it | Use in ranking |
|---|---|---|---|---|---|
| Chess PuzzlesChess Puzzles (Epoch AI) | 9.0% | Best verified: Claude Fable 5.2 · 79.0% | Gap70 behind | Run by Chess Puzzles | Shown only |
| Mystery Game PuzzlesMystery Game Puzzles (Epoch AI) | 17.0% | Best verified: Claude Fable 5.2 · 90.0% | Gap73 behind | Run by Mystery Game Puzzles | Shown only |
Every bar is benchmark-run or independent. Bars run 0–100; the dark tick marks the best source-verified value.
What it costs to get this score
Published API price against the public score. The x-axis uses a log scale; the dashed path marks models that are not beaten by a cheaper, higher-scoring option. Price uses average of published input and output rates.
Qwen3.5 Plus · 49.1 score · $1.40 blended per million tokens
The chart opens on the current model. Scroll horizontally to inspect the full price axis.
Horizontal: blended price per million tokens, log scale · Vertical: public score
Lineage
The sequence follows explicit supersedes links. Each score is estimated for that model; a relative can inform a sparse estimate but never sets a floor, so a newer release can score below an earlier one. Scores and prices remain blank when the corresponding public row or first-party rate is unavailable.
Base entry
Spec sheet
Each documented value carries its source. Missing fields stay visible as not sourced or not published, rather than disappearing from the page.
- API model ID
- Not published
- Context window
- 1M
- Maximum output
- Not sourced yet
- Knowledge cutoff
- Not sourced yet
- Input modalities
- text, image, videoQwen Cloud model page for qwen3.5-plus
- Output modalities
- textQwen Cloud model page for qwen3.5-plus
- Parameters
- Not disclosed by the provider
- Availability
- Not sourced yet
- Cloud regions
- Not tracked yet
- Lifecycle
- Established
- API capabilities
- Tool calling, structured outputs, and batch support are not tracked yet
- Prompt caching
- Not documented in the pricing record
- Self-host
- Weights are not published
- Rate limits
- Not tracked yet
How to read this profile
The visual layer above carries the decisions. These notes preserve the model, ranking, coverage, and family context behind the numbers.
Qwen3.5 Plus ranks #111 of 215 on the public leaderboard with a score of 49.09/100. It does not yet have enough sourced coverage for a verified position.
Qwen3.5 Plus is a proprietary model with a 1M context window. It uses an explicit reasoning mode, which can improve complex problem solving while adding latency and token use.
Official first-party benchmark snapshot from the Qwen Agent DeepPlanning v1.1 leaderboard. BenchLM now tracks the published DeepPlanning score for the hosted Qwen3.5 Plus API tier while broader benchmark coverage remains sparse.
4 of 906 tracked benchmark slots currently have displayable evidence. Missing categories stay blank.
Last updated November 12, 2026. Runtime fields remain blank until a sourced snapshot exists.
Questions
How does Qwen3.5 Plus perform overall in AI benchmarks?
Qwen3.5 Plus ranks #111 out of 215 models on the public BenchAlign leaderboard, with a score of 49.09/100. Its evidence status is Estimated, and this profile shows 4 source-displayable benchmark rows. The label describes evidence depth, not a provider quality claim; inspect category rows before choosing a workload.
Is Qwen3.5 Plus good for coding and programming?
Qwen3.5 Plus has source-displayable benchmark coverage for coding and programming, but the public category table does not assign it a rank there. The individual rows remain available for inspection. A missing category position means the evidence threshold was not met; it does not convert the model's unmeasured work into a zero.
Is Qwen3.5 Plus good for agentic tool use and computer tasks?
Qwen3.5 Plus has source-displayable benchmark coverage for agentic tool use and computer tasks, but the public category table does not assign it a rank there. The individual rows remain available for inspection. A missing category position means the evidence threshold was not met; it does not convert the model's unmeasured work into a zero.
Does Qwen3.5 Plus have full benchmark coverage on BenchLM?
No. Qwen3.5 Plus currently has 4 source-displayable rows. The profile exposes published, non-generated evidence and leaves missing categories blank until an exact evaluation is available. Coverage describes how much was measured; it is not a penalty added to an individual benchmark result.
What is the context window size of Qwen3.5 Plus?
Qwen3.5 Plus has a reported context window of 1M in the exact-model catalog record. The value stays visible, but the profile marks its source link as unavailable instead of presenting it as directly documented. Maximum output length remains separate because providers often publish a different limit.