Model profile
qwen
New in 2026

Qwen: Qwen3.5-27B

Qwen: Qwen3.5-27B is a budget multimodal generalist from qwen with a balanced runtime profile, large context posture, and the clearest fit around long-context research / multimodal.

Best for: Long-context research / MultimodalBalanced latencyLarge contextBudget pricing
Intelligence
42.1

Benchmark blend

Coding
33.4

Dev workflow signal

Context
262K Tokens

Large

Input Price
$0.30

Budget tier

Decision snapshot
60

Qwen: Qwen3.5-27B currently reads as a budget multimodal option with large context and a balanced runtime profile.

Overall profile
Selective fit
Best for
Long-context research / Multimodal
Latency tier
Balanced
Price tier
Budget
Source coverage
OpenRouterArtificial AnalysisVision signal

Decision Strip

Decision rail before the raw tables

Core buy-side signals stay in one pass. The rest of the page expands only after intelligence, speed, context, and price are clear.

Intelligence
42.1
42

General reasoning and benchmark headroom.

Situational
Speed
89 tok/s
69

TTFT 1.30s

Competitive
Context
262K Tokens
88

How much prompt and task state can stay in view.

Above average
Price
$0.30
86

$2.40 output / 1M

Efficient

Editorial Profile

Qwen: Qwen3.5-27B in one narrative

Positioning, tradeoffs, and fit are consolidated into one read instead of repeating the same story across separate cards.

Selective fitCoding score 33Math score 36Vision enabled

The Qwen3.5 27B native vision-language Dense model incorporates a linear attention mechanism, delivering fast response times while balancing inference speed and performance. Its overall capabilities are comparable to those of the Qwen3.5-122B-A10B.

Identity

qwen multimodal profile

Positioning

Long-context research / Multimodal with large context and balanced runtime.

Cost posture

Efficient spend profile. More comfortable for sustained prompt volume if the capability fit is right.

Strengths
  • Large context headroom supports repo-wide prompts and long research sessions.

  • Vision-capable routing opens up multimodal review and extraction workflows.

  • Latency and throughput look responsive enough for interactive loops.

Tradeoffs
  • Budget-friendly input pricing is a strength, but raw capability may vary by workload.

  • Latency is balanced rather than ultra-fast, which is fine for most workflows but not the snappiest tier.

Best fit
  • Image-grounded review, multimodal extraction, and UI audit workflows.

  • Long-context summarization, repo analysis, and policy or document review.

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Context
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Benchmarks

Grouped by job-to-be-done

Only benchmark categories with actual signal are shown. Secondary values stay as simple definitions instead of nested micro-cards.

General intelligence

Broad reasoning, knowledge depth, and flagship benchmark posture.

Intelligence Index
42.1
GPQA
85.8%
HLE
13.2%
Coding

Software implementation, debugging quality, and coding benchmark signal.

Coding Index
33.4
SciCode
36.7%
Agent / tool use

Long-horizon execution quality and interactive benchmark evidence.

IFBench
46.9%
TAU2
87.1%
TerminalBench Hard
31.8%
LCR
55.7%

Specs & Pricing

Technical snapshot and cost posture

Specs stay neutral, pricing gets emphasis through values rather than extra containers. Raw provider internals remain in metadata at the end.

Technical snapshot
Context Window
262K Tokens
Vision
Enabled
Modalities
text, image, video->text, video
Tokenizer
Qwen3
Max Completion
65536
Moderation
No
Supported Parameters
frequency_penaltyinclude_reasoninglogit_biaslogprobsmax_tokensmin_ppresence_penaltyreasoningrepetition_penaltyresponse_formatseedstopstructured_outputstemperaturetool_choicetoolstop_ktop_logprobstop_p
Input Modalities
textimagevideo
Output Modalities
text
Price architecture
Input
per 1M input tokens
$0.30
Output
per 1M output tokens
$2.40
Blended
AA 3:1 mix
$0.82

This model is relatively efficient on price. It is the easier fit when sustained prompt volume matters.

Metadata

Raw source tables at the end

Verification details remain available, but the page no longer forces them ahead of the editorial read.