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Data

Data as of November 11, 2026 · How the score is built

EstablishedProprietaryReasoning

Released Mar 4, 20261M context

Qwen3.5 Flash

Decision readingQwen3.5 Flash scores 42.3 out of 100 and ranks #131 of 214. This profile shows 7 source-displayable benchmark rows; its strongest eligible category is Knowledge at #101. API pricing is $0.1 input and $0.4 output per million tokens.

Released Mar 4, 2026 — see all recent releases

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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.

Capability

42.3/100

field median 51.2#131 of 214 ranked models

Public

#131of 214

Verified —

Price

$0.10input / $0.40 output

input median $0.60blended $0.25

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

Strongest published evidence

Knowledge ranks #101. Particularly effective for knowledge-intensive tasks like research, analysis, and factual Q&A.

Validate before choosing

7 published rows leave some tracked benchmark slots empty. Independent runtime speed has not been measured.

Source-linked · 7 displayable benchmark rows

Is Qwen3.5 Flash 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.

Describe the task and constraints. This selector recommends models; it cannot carry out the task or access your files and accounts.

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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 scores, ranks, weighting, benchmark coverage, and evidence status
CategoryScore
AgenticWeight 22%0 benchmarksNot measured
Not measured
CodingRank #113 of 158Percentile 29thWeight 20%2 benchmarksVerified
28.4
ReasoningWeight 17%0 benchmarksNot measured
Not measured
MultimodalWeight 12%0 benchmarksNot measured
Not measured
KnowledgeRank #101 of 179Percentile 44thWeight 12%2 benchmarksVerified
43.7
MultilingualWeight 7%0 benchmarksNot measured
Not measured
Inst. FollowingWeight 5%0 benchmarksNot measured
Not measured
MathRank Not rankedWeight 5%1 benchmarkVerified
32.6

7 of 894 tracked benchmark slots have displayable evidence · bars run 0–100

Coverage details

How 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.

  1. AgenticNot measured
  2. Coding2/2 verified
  3. ReasoningNot measured
  4. MultimodalNot measured
  5. Knowledge2/2 verified
  6. MultilingualNot measured
  7. Inst. FollowingNot measured
  8. Math1/1 verified
Verified sourceProvisionalNot measured

Capability shape

Each axis shows percentile within that category’s eligible cohort. The comparison outline is the median of the six nearest public-score peers; a collapsed vertex means the category is not rank-eligible.

Qwen3.5 Flash category percentile values

  • AgenticNot eligible
  • Coding29th percentile
  • ReasoningNot eligible
  • MultimodalNot eligible
  • Knowledge44th percentile
  • MultilingualNot eligible
  • Instruction followingNot eligible
  • MathNot eligible

The dashed outline is median of 6 nearest peers.

Eligible category ranks

  1. AgenticNot ranked
  2. Coding#113/158
  3. ReasoningNot ranked
  4. MultimodalNot ranked
  5. Knowledge#101/179
  6. MultilingualNot ranked
  7. Inst. FollowingNot ranked
  8. MathNot ranked
Top decileTop quartileMid-fieldNot eligible

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.

Overall rank
#131
of 214 on the leaderboard
Lab-reported
0
None
Run by a benchmark
3
The benchmark’s own run
Independent runs
4
An outside evaluator’s run
Coding2 rows
Coding benchmark results, best verified comparison, who ran each test, and whether it counts toward a rank
LiveCodeBench (Vals)LiveCodeBench, Vals AI run83.3%

Best verified: Claude Fable 5.1 · 90.5%

Gap7.2 behindIndependent run: Vals AI
Vals AI: LiveCodeBench leaderboard
Counts8% ref. weight
SWE-bench (Vals)SWE-bench, Vals AI run64.4%

Best verified: Claude Opus 5 · 97.0%

Gap32.6 behindIndependent run: Vals AI
Vals AI: SWE-bench leaderboard
Shown only
Knowledge2 rows
Knowledge benchmark results, best verified comparison, who ran each test, and whether it counts toward a rank
MMLU-Pro (Vals)MMLU-Pro, Vals AI run84.1%

Best verified: Claude Fable 5.1 · 92.4%

Gap8.3 behindIndependent run: Vals AI
Vals AI: MMLU Pro leaderboard
Counts6% ref. weight
GPQA Diamond (Vals)GPQA Diamond, Vals AI run82.8%

Best verified: Gemini 3.1 Pro · 95.5%

Gap12.7 behindIndependent run: Vals AI
Vals AI: GPQA Diamond leaderboard
Counts2% ref. weight
Math1 row
Math benchmark results, best verified comparison, who ran each test, and whether it counts toward a rank
FrontierMath v2 (Tiers 1-3)FrontierMath v2 Tiers 1-318.246%

Best verified: Claude Fable 5.2 · 95.088%

Gap76.8 behindRun by FrontierMath v2 (Tiers 1-3)
Epoch AI FrontierMath v2 leaderboard
CountsWeighted 30%
External signals2 rows
External signals benchmark results, best verified comparison, who ran each test, and whether it counts toward a rank
Chess PuzzlesChess Puzzles (Epoch AI)14.0%

Best verified: Claude Fable 5.2 · 79.0%

Gap65 behindRun by Chess Puzzles
Epoch AI Chess Puzzles leaderboard
Shown only
Mystery Game PuzzlesMystery Game Puzzles (Epoch AI)20.0%

Best verified: Claude Fable 5.2 · 90.0%

Gap70 behindRun by Mystery Game Puzzles
Epoch AI Mystery Game Puzzles leaderboard
Shown only

Every bar is benchmark-run or independent. Bars run 0–100; the dark tick marks the best source-verified value.

How we label sourcesAll 7 rows

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.

Current modelExplore all models

Qwen3.5 Flash · 42.3 score · $0.25 blended per million tokens

The chart opens on the current model. Scroll horizontally to inspect the full price axis.

30405060708090100$0.10$0.50$1$5$10$25$50$100↘ frontierQwen3.5 Flash

Horizontal: blended price per million tokens, log scale · Vertical: public score

Price vs performance

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.

  1. Mar 4, 2026 · you are here

    Qwen3.5 Flash

    Score 42.3 · $0.1 / $0.4

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-flash
Output modalities
textQwen Cloud model page for qwen3.5-flash
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 Flash ranks #131 of 214 on the public leaderboard with a score of 42.31/100. It does not yet have enough sourced coverage for a verified position.

Qwen3.5 Flash 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.

Tracked as unresolved. The official Qwen3.5-35B-A3B model card says Qwen3.5 Flash is the hosted version of that model with 1M context and built-in tools, but BenchLM has not yet sourced a clean exact-value benchmark table for the hosted API variant.

7 of 894 tracked benchmark slots currently have displayable evidence. Missing categories stay blank.

Its strongest eligible category is Knowledge at #101, while its lowest eligible position is Coding at #113. particularly effective for knowledge-intensive tasks like research, analysis, and factual Q&A.

Last updated November 11, 2026. Runtime fields remain blank until a sourced snapshot exists.

Deployment options

Self-host and provider-specific paths stay separate from benchmark evidence so operating constraints are visible before a score becomes the whole decision.

Where to run Qwen3.5 Flash by API

OpenRouter is the one host we track that publishes a per-token price for it. Prices read from each host’s own pages on November 11, 2026.

Inference hosts for Qwen3.5 Flash with input, output and cached-input prices per million tokens.
HostInput /1MOutput /1MCached /1MContext
OpenRouter$0.065$0.26—1M
Compare inference hosts

Questions

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

Qwen3.5 Flash ranks #131 out of 214 models on the public BenchAlign leaderboard, with a score of 42.31/100. Its evidence status is Estimated, and this profile shows 7 source-displayable benchmark rows. The label describes evidence depth, not a provider quality claim; inspect category rows before choosing a workload.

Is Qwen3.5 Flash good for knowledge and understanding?

Qwen3.5 Flash ranks #101 out of 179 eligible models for knowledge and understanding, with a public category score of 43.7/100. Higher-ranked alternatives are available for workloads where this category decides the choice. Check the underlying rows before treating the aggregate as a workload guarantee.

Is Qwen3.5 Flash good for coding and programming?

Qwen3.5 Flash ranks #113 out of 158 eligible models for coding and programming, with a public category score of 28.4/100. Higher-ranked alternatives are available for workloads where this category decides the choice. Check the underlying rows before treating the aggregate as a workload guarantee.

Is Qwen3.5 Flash good for mathematics?

Qwen3.5 Flash has source-displayable benchmark coverage for mathematics, 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 Flash have full benchmark coverage on BenchLM?

No. Qwen3.5 Flash currently has 7 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 Flash?

Qwen3.5 Flash 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.

Compare Qwen3.5 Flash with every tracked model1025 comparisons