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ModelCap

Qwen3.5-27B

All-versions archive #135Arena #140Official publisher releaseOpen weights

Qwen·qwen/qwen3.5-27b

Qwen3.5-27B is ModelCap archive rank #135 (Measured), from the ModelCap Index as of 22 Sept 2026, 02:49 UTC.

Qwen3.5-27B listed OpenRouter input price is $0.195 per 1M tokens and listed output price is $1.56 per 1M tokens, from OpenRouter listed prices as of 22 Sept 2026, 02:49 UTC.

Qwen3.5-27B has a published context limit of 262K tokens in the ModelCap catalogue as of 22 Sept 2026, 02:49 UTC.

Qwen3.5-27B has 6 published OpenRouter serving endpoints, from OpenRouter as of 22 Sept 2026, 02:49 UTC.

Qwen3.5-27B weight access is open weights, 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
55.5#135
Measured · 63% support · score interval 50.6–60.4
Evidence as of 13 Sept 2026, 00:00 UTC
Market Gravity
50.9Decreased by 0.3
Secondary market signal

Superseded by Qwen3.8 27B. It no longer holds a current-board position; its all-versions archive rank is #135.

Input
$0.195
per 1M tokens
Output
$1.56
per 1M tokens
Context
262K
tokens
Providers
6
endpoints
Gateway spend
latest · Vercel share

Providers

Uptime measured over the last 30 minutes
ProviderInputOutputContextQuantUptime
AlibabaCheapest$0.195$1.56262K96.60%
SiliconFlowfp8$0.25$2.00262Kfp899.91%
AtlasCloudfp8$0.27$2.16262Kfp899.00%
Phala$0.30$2.40262K99.24%
Novitabf16$0.30$2.40262Kbf16100.0%
DeepInfrafp8$0.26$2.60262Kfp898.02%

Hugging Face Inference Providers

Exact repository identity

Provider economics and telemetry published by the Hugging Face Router. These are operational signals, not benchmark results.

ProviderInputOutputContextTTFTThroughputFeatures
novita
live
$0.30$2.40262K836 ms69.1 tok/stools
deepinfra
live
$0.26$2.60262K325 ms75.4 tok/stools · structured

Reported evaluation leads (11)

Not independent measurement

Structured rows reported in this exact model repository at the pinned revision below. They are the publisher talking about itself: never measured evidence, never a score input on their own. They remain quarantined until dataset revision, harness, configuration and identity pass ModelCap’s independent admission review.

Dataset / taskMetricValueRevisionProvenance
cais/hle
hle
24.3
Unpinned
not published
Reported
Quarantined
cais/hle
hle
48.5
Unpinned
not published
Reported
Quarantined
harborframework/terminal-bench-2.0
terminalbench_2
41.6
Unpinned
not published
Reported
Quarantined
Idavidrein/gpqa
diamond
81.8182
Unpinned
not published
Reported
Quarantined
Idavidrein/gpqa
diamond
85.5
Unpinned
not published
Reported
Quarantined
likaixin/ScreenSpot-Pro
overall
70.3
Unpinned
not published
Reported
Quarantined
MathArena/aime_2026
MathArena/aime_2026
90.83
Unpinned
not published
Reported
Quarantined
MathArena/hmmt_feb_2026
MathArena/hmmt_feb_2026
81.06
Unpinned
not published
Reported
Quarantined
MMMU/MMMU_Pro
mmmu_pro_vision
75
Unpinned
not published
Reported
Quarantined
SWE-bench/SWE-bench_Verified
swe_bench_%_resolved
72.4
Unpinned
not published
Reported
Quarantined
TIGER-Lab/MMLU-Pro
mmlu_pro
86.1
Unpinned
not published
Reported
Quarantined

Other versions (2)

ModelCap Index · All-versions archive

Methodology
55.5
Measured · 2 public benchmark observations across 2 boards
All-versions archive
#135
Public rank basis
Measured (measured)
Index support
63.3% · strong
Index interval
50.6–60.4
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/qwen3.5-27b · aggregates disclosed benchmark configurations · endpoint configuration not claimed · artifact metadata Qwen/Qwen3.5-27B@fc05daec18b0a78c049392ed2e771dde82bdf654 (not the evaluation revision)
Index observations used
2
Qualified Index evidence point
55.5
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
55.5
Evidence status
confirmed · 77% mass
General preference
55.9
Coding
52.4
Agents & tools
Reasoning
Evidence breadth
92%
Evidence coverage
63%
Market and catalogue signals · secondary, never the language Index rank
Usage (OpenRouter popularity)
16.8
Liquidity (providers × uptime)
98.9
Open reach (HF downloads)
97.6
Surface (context / tools / modalities)
90.3
Freshness
45.2
  • · OpenRouter popularity #122
  • · 6 live providers
  • · HF 30d downloads 1828877
  • · Catalogue: context 262144, 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
86.1
strong · 94% metadata coverage
Not capability
Artifact reproducibility
85.0
Access & legal clarity
100.0
Deployability
99.8
Evaluation provenance
53.5

Missing: artifactReproducibility.base-lineage, 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
50.9
OpenRouter weekly popularity
#122 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
#140 of 402
Rating
1407.9
95% confidence interval
1403–1412
Votes
27K
Source published at
13 Sept 2026, 00:00 UTC
Category
overall
Identity match confidence
100%

Market Gravity breakdown

Usage55%
16.8

OpenRouter weekly popularity across the full model catalogue.

Liquidity25%
98.9

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

Open reach15%
97.6

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
262K 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

Weights & access

Open weights. Downloadable weights are published under an OSI or free-culture license in the current repository metadata. This describes weight availability, not whether the full training stack qualifies as Open Source AI.

Access
Open weights
Licence
apache-2.0
Pinned revision
fc05daec18b0
Parameters
27.8B
Architecture
Qwen3_5ForConditionalGeneration
Model type
qwen3_5
Hugging Face downloads (30d)
1.8M
Downloads (all time)
19.4M
Likes
1K
Repository updated
24 Apr 2026, 02:54 UTC

Benchmark leaderboards featuring Qwen3.5-27B

All leaderboards
Public benchmark boards on which Qwen3.5-27B has a published result
LeaderboardScoreSource rankConfigurationPublished
Arena coding leaderboardArena (LMArena)14501443–1457#142 of 397Default13 Sept 2026
τ²-Bench Telecom (Artificial Analysis run)Artificial Analysis93.9%#39 of 436tau2:telecom:dual-control:pass-at-1:3-repeats:source-model="Qwen3.5 27B (Reasoning)":reasoning=true13 Sept 2026
Humanity's Last Exam (Artificial Analysis run)Artificial Analysis23.9%#152 of 615hle:may-2025:text-only-2158:no-tools:pass-at-1:source-model="Qwen3.5 27B (Reasoning)":reasoning=true13 Sept 2026

Qwen3.5-27B: common questions

How does Qwen3.5-27B rank among AI models?

Qwen3.5-27B 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 Qwen3.5-27B cost per 1M tokens?

Qwen3.5-27B is listed at $0.195 per 1M input tokens and $1.56 per 1M output tokens as of 22 September 2026 across 6 providers. 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 $1.17 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 Qwen3.5-27B?

Qwen3.5-27B has a published context window of 262K tokens (262,144) 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 Qwen3.5-27B open-weight?

Open weights (apache-2.0). Downloadable weights are published under an OSI or free-culture license in the current repository metadata. This describes weight availability, not whether the full training stack qualifies as Open Source AI. The repository is Qwen/Qwen3.5-27B on Hugging Face.

Which API providers serve Qwen3.5-27B?

6 providers serve Qwen3.5-27B through OpenRouter as of 22 September 2026: Alibaba, SiliconFlow, DeepInfra, AtlasCloud, Phala and Novita. Each provider's price, context limit, quantization and measured uptime are in the providers table above.

Which benchmarks has Qwen3.5-27B been evaluated on?

Qwen3.5-27B has published results on 3 public boards tracked by ModelCap as of 22 September 2026: Arena coding 1450 (#142 of 397), AA τ²-Bench Telecom 93.9% (#39 of 436) and AA Humanity's Last Exam 23.9% (#152 of 615). Each board page ranks every tracked model on that benchmark; the ModelCap Index combines them with published uncertainty.

When was Qwen3.5-27B released?

Qwen3.5-27B first appeared in the catalogue on 25 Feb 2026. It has since been superseded by Qwen3.8 27B. Rank and price movements since then are recorded on the site's changes feed.