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ModelCap

Qwen3.5-Flash

All-versions archive #156Arena #152API only

Qwen·qwen/qwen3.5-flash-02-23

Qwen3.5-Flash is ModelCap archive rank #156 (Measured), from the ModelCap Index as of 22 Sept 2026, 02:49 UTC.

Qwen3.5-Flash listed OpenRouter input price is $0.065 per 1M tokens and listed output price is $0.26 per 1M tokens, from OpenRouter listed prices as of 22 Sept 2026, 02:49 UTC.

Qwen3.5-Flash has a published context limit of 1M tokens in the ModelCap catalogue as of 22 Sept 2026, 02:49 UTC.

Qwen3.5-Flash has 1 published OpenRouter serving endpoint, from OpenRouter as of 22 Sept 2026, 02:49 UTC.

Qwen3.5-Flash weight access is api only, from ModelCap classification of published repository metadata as of 22 Sept 2026, 02:49 UTC.

Snapshot facts · download the public dataset · methodology

ModelCap Index · All-versions archive
52.4#156
Measured · 64% support · score interval 47.5–57.3
Evidence as of 13 Sept 2026, 00:00 UTC
Market Gravity
47.0Increased by 0.1
Secondary market signal

Superseded by Qwen3.8 Flash. It no longer holds a current-board position; its all-versions archive rank is #156.

Input
$0.065
per 1M tokens
Output
$0.26
per 1M tokens
Context
1M
tokens
Providers
1
endpoint
Gateway spend
latest · Vercel share

Providers

Uptime measured over the last 30 minutes
ProviderInputOutputContextQuantUptime
Alibaba$0.065$0.261M100.0%

Other versions (3)

ModelCap Index · All-versions archive

Methodology
52.4
Measured · 2 public benchmark observations across 2 boards
All-versions archive
#156
Public rank basis
Measured (measured)
Index support
63.6% · strong
Index interval
47.5–57.3
Rank posterior
Not available
Top 5 / Top 10 probability
Not available / Not available
Posterior as of
Snapshot timestamp unavailable
Evidence as of
13 Sept 2026, 00:00 UTC
Identity binding
Exact catalogue product · qwen/qwen/qwen3.5-flash-02-23 · aggregates disclosed benchmark configurations · endpoint configuration not claimed
Index observations used
2
Qualified Index evidence point
52.4
Bayesian Evidence Score · measured evidence input only

BES normalizes admitted public benchmark evidence for measured Index rows. Its legacy score and observables prior do not define the public language rank.

Observed capability
52.4
Evidence status
confirmed · 77% mass
General preference
53.0
Coding
47.9
Agents & tools
Reasoning
Evidence breadth
92%
Evidence coverage
64%
Market and catalogue signals · secondary, never the language Index rank
Usage (OpenRouter popularity)
23.5
Liquidity (providers × uptime)
97.4
Open reach (HF downloads)
Surface (context / tools / modalities)
100.0
Freshness
45.2
  • · OpenRouter popularity #83
  • · 1 live provider
  • · Catalogue: context 1000000, reasoning, tools, modalities Text/Image/Video
  • · First seen 2026-02-25

These adoption and deployment observations remain context only. They do not change this model's ModelCap Index score or rank.

BES evidence selected · measured input only

The bounded 0–100 capability score blends each source’s competitive placement with its published achievement, then combines capability families. Evidence breadth adds a modest uncertainty adjustment; price and popularity are not part of benchmark-led rank.

Deployment readiness

Metadata index
40.9
limited · 56% metadata coverage
Not capability
Artifact reproducibility
0.0
Access & legal clarity
30.3
Deployability
80.0
Evaluation provenance
54.2

Missing: artifactReproducibility.revision-sha, artifactReproducibility.architecture-and-model-type, artifactReproducibility.parameter-count, artifactReproducibility.serialized-weight-format, artifactReproducibility.base-lineage, accessLegalClarity.declared-license, accessLegalClarity.resolvable-license-terms, evaluationProvenance.evaluation-dataset-revisions.

A metadata completeness and deployability index—not a safety certification, quality grade, or production-readiness claim.

Market activity

Venue coverage
Market Gravity
47.0
OpenRouter weekly popularity
#83 of 322

Market Gravity uses OpenRouter’s full-catalogue popularity order. Sparse Vercel top-ten observations appear only when published and do not affect the score.

Arena preference

Status
Ranked
Source
LMArena
Official rank
#152 of 402
Rating
1396.7
95% confidence interval
1393–1400
Votes
58K
Source published at
13 Sept 2026, 00:00 UTC
Category
overall
Identity match confidence
100%

Market Gravity breakdown

Usage55%
23.5

OpenRouter weekly popularity across the full model catalogue.

Liquidity25%
97.4

Independent providers versus the model's open or closed cohort, weighted by uptime.

Open reach15%
50.0

Hugging Face 30-day downloads for open models; neutral for closed models.

Freshness5%
45.2

Time since first public availability, on a six-month half-life.

Specification

Context window
1M tokens
Max output
66K tokens
Inputs
Text, Image, Video
Outputs
Text
Tokenizer
Qwen3
Cached input tokens
Not offered
First seen on OpenRouter
25 Feb 2026

Capabilities

  • Supported: Reasoning
  • Supported: Tool use
  • Supported: Structured output
  • Supported: Response format
  • Not supported: Moderated

Benchmark leaderboards featuring Qwen3.5-Flash

All leaderboards
Public benchmark boards on which Qwen3.5-Flash has a published result
LeaderboardScoreSource rankConfigurationPublished
Arena coding leaderboardArena (LMArena)14371431–1443#159 of 397Default13 Sept 2026

Qwen3.5-Flash: common questions

How does Qwen3.5-Flash rank among AI models?

Qwen3.5-Flash is a superseded version and is not on the current board as of 22 September 2026. Its archive position, where one exists, is shown on the page; the newer version carries the current rank.

How much does Qwen3.5-Flash cost per 1M tokens?

Qwen3.5-Flash is listed at $0.065 per 1M input tokens and $0.26 per 1M output tokens as of 22 September 2026. Prices come from the OpenRouter catalogue and re-observe on every refresh. For 1,000 requests using 2,000 input and 500 output tokens each, the listed rates imply $0.26 total (2M input + 0.5M output). This excludes caching, batch discounts, prompt-length tiers, tool charges and retries; verify the chosen endpoint's rate and limits before budgeting.

What is the context window of Qwen3.5-Flash?

Qwen3.5-Flash has a published context window of 1M tokens (1,000,000) and a maximum output of 66K tokens. Individual providers can serve less than the published maximum; the providers table lists each endpoint's own limit.

Is Qwen3.5-Flash open-weight?

API only. No downloadable model weights are linked in the current source data; access is through a hosted API or product.

Which API providers serve Qwen3.5-Flash?

One provider serves Qwen3.5-Flash through OpenRouter as of 22 September 2026: Alibaba. Each provider's price, context limit, quantization and measured uptime are in the providers table above.

Which benchmarks has Qwen3.5-Flash been evaluated on?

Qwen3.5-Flash has published results on 1 public board tracked by ModelCap as of 22 September 2026: Arena coding 1437 (#159 of 397). Each board page ranks every tracked model on that benchmark; the ModelCap Index combines them with published uncertainty.

When was Qwen3.5-Flash released?

Qwen3.5-Flash first appeared in the catalogue on 25 Feb 2026. It has since been superseded by Qwen3.8 Flash. Rank and price movements since then are recorded on the site's changes feed.