Qwen3.5-27B
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...
Updated 5 h ago · first seen 11 Sept 2026
model_01M294WW46MKCMBR8QYTQXBZ19
- Context
- 262.1K tokens
- T2 · 7 h ago
- Released
- 25 Feb 2026
- T2 · 7 h ago
Specification
- Release date
- 25 Feb 2026
Source:OpenRouter public model & pricing listingT2observed 7 h agomedium
- Status
- deprecated
Source:Artificial AnalysisT2observed 5 h agomedium
- Openness
- open-weights
Source:Artificial AnalysisT2observed 5 h agomedium
- Context window
- 262.1K tokens
Source:OpenRouter public model & pricing listingT2observed 7 h agomedium
- Max output
- 65.5K tokens
Source:OpenRouter public model & pricing listingT2observed 7 h agomedium
- Modalities
- image, text, video
Source:OpenRouter public model & pricing listingT2observed 7 h agomedium
- Input modalities
- image, text, video
Source:OpenRouter public model & pricing listingT2observed 7 h agomedium
- Output modalities
- text
Source:OpenRouter public model & pricing listingT2observed 7 h agomedium
- Tokenizer
- Qwen3
Source:OpenRouter public model & pricing listingT2observed 7 h agomedium
- Hugging Face repo
- Qwen/Qwen3.5-27B
Source:OpenRouter public model & pricing listingT2observed 7 h agomedium
- Aa median output tokens per second
- 75.2
Source:Artificial AnalysisT2observed 5 h agomedium
- Openrouter id
- qwen/qwen3.5-27b
Source:OpenRouter public model & pricing listingT2observed 7 h agomedium
- Supported parameters
- frequency_penalty, include_reasoning, logit_bias, logprobs, max_tokens, min_p, presence_penalty, reasoning, repetition_penalty, response_format, seed, stop, structured_outputs, temperature, tool_choice, tools, top_k, top_logprobs, top_p
Source:OpenRouter public model & pricing listingT2observed 7 h agomedium
Each value shows its source, tier and observation time. Conflicting claims are kept side by side and flagged — never averaged. How AI Atlas records facts →
Provenance
Attributed facts
18
Source tiers
T218
Freshest observation
5 h ago
Conflicts
None
Modalities
- Modalities
- imagetextvideo
- Input
- imagetextvideo
- Output
- text
Capabilities
Tool calling
Yes
OpenRouter public model & pricing listing · T2
Structured output
Yes
OpenRouter public model & pricing listing · T2
Reasoning
Yes
OpenRouter public model & pricing listing · T2
Vision
Yes
OpenRouter public model & pricing listing · T2
Audio
Unavailable
Fine-tuning available
Unavailable
- Context window
- 262.1K tokens
Source:OpenRouter public model & pricing listingT2observed 7 h agomedium
- Max output
- 65.5K tokens
Source:OpenRouter public model & pricing listingT2observed 7 h agomedium
- Tokenizer
- Qwen3
Source:OpenRouter public model & pricing listingT2observed 7 h agomedium
| Benchmark | Score | Metric | Config | Evaluated | Source |
|---|---|---|---|---|---|
| τ²-bench | 93.86% | pass^1 | aa_slug=qwen3-5-27b · evaluator=Artificial Analysis · index_version=4.3 | — | artificialanalysis.aiT2 |
| Artificial Analysis Intelligence Index | 22.9 | index | aa_slug=qwen3-5-27b · version=4.3 · estimated=true | — | artificialanalysis.aiT2 |
| GPQA | 85.76% | accuracy | aa_slug=qwen3-5-27b · variant=GPQA Diamond · evaluator=Artificial Analysis · index_version=4.3 | — | artificialanalysis.aiT2 |
| Humanity's Last Exam | 23.91% | accuracy | aa_slug=qwen3-5-27b · evaluator=Artificial Analysis · index_version=4.3 | — | artificialanalysis.aiT2 |
| IFBench | 75.58% | accuracy | aa_slug=qwen3-5-27b · evaluator=Artificial Analysis · index_version=4.3 | — | artificialanalysis.aiT2 |
| MMMU-Pro | 75.03% | accuracy | aa_slug=qwen3-5-27b · evaluator=Artificial Analysis · index_version=4.3 | — | artificialanalysis.aiT2 |
| Terminal-Bench | 32.58% | accuracy | aa_slug=qwen3-5-27b · variant=hard · evaluator=Artificial Analysis · index_version=4.3 | — | artificialanalysis.aiT2 |
Scores are reported as published, with their evaluation configuration (harness, prompting, judge). Results with different configs are not directly comparable — see methodology.
Current prices
| Provider | Input / 1M | Output / 1M | Cached in | Batch in / out | Context | Observed | Source |
|---|---|---|---|---|---|---|---|
| OpenRouterqwen/qwen3.5-27b | $0.195 | $1.56 | — | — | 262.1K | 3 h ago | openrouter.aiT2 |
USD per 1M tokens as published by each provider (USD). Rows are append-only: every change is kept in the history below.
Available through 1
Price history
Input price · USD / 1M tokens
Output price · USD / 1M tokens
- OpenRouter
No hardware estimate available
No lineage recorded
Papers 0
No papers linked yet.
Repositories 0
No repositories linked yet.
As of
Rewind the record: see this entity's attributes exactly as AI Atlas knew them on a given day.
Claim history · Supported parameters
Supported parameterssupported_parameters1
| Value | Valid from → to | Status | Source | Confidence | Extractor |
|---|---|---|---|---|---|
| frequency_penalty, include_reasoning, logit_bias, logprobs, max_tokens, min_p, presence_penalty, reasoning, repetition_penalty, response_format, seed, stop, structured_outputs, temperature, tool_choice, tools, top_k, top_logprobs, top_p | → current | current | OpenRouter public model & pricing listingT2 | medium | deterministic |
Claims are temporal and append-only: a new observation closes the previous claim (valid_to) instead of overwriting it. Conflicting claims from different sources are kept side by side and flagged — never averaged. Methodology →
Qwen3.5-27B scores 23.91% on Humanity's Last Exam
artificial_analysisQwen3.5-27B scores 22.9 on Artificial Analysis Intelligence Index
artificial_analysisOpenRouter lists Qwen3.5-27B at $0.195 in / $1.56 out per 1M tokens
openrouter
| Source | Document | Type | Tier | Last observed | Snapshots |
|---|---|---|---|---|---|
| OpenRouter public model & pricing listing | openrouter.ai/api/v1/models | catalogue | T2· Quality secondary | 3 h ago | 4 |
| Artificial Analysis | artificialanalysis.ai/leaderboards/models | leaderboard | T2· Quality secondary | 5 h ago | 1 |
Tier 1 = official/primary, 2 = quality secondary, 3 = community, 4 = unverified. Every snapshot is archived; see all sources and the methodology.