Qwen 3.8 27B
Not tested yet
Language modelActive
Qwen 3.8 27B
Alibaba
- Released
- August 14, 2026
- Data date
- September 8, 2026
- Intelligence
- Overall score
- Speed
- 47.3 tokens/sOutput throughput
- Price
- Input · Output / 1M tokens
- Input
- Text, Image, Video
- Output
- Text
No published category-wide ranking is available for this model.
Entries 1-12 of 28. Page 1 of 3.
Measurements without matching peer values
These measurements have no matching peer values under the same test conditions. Their original values and sources remain available here.
Agentic terminal coding Terminal Bench 2.1 (Terminus) (Show measurement, test conditions, and source)
- Source value
- 73
- Score
- 73
- Metric
- percent
- Unit
- %
- Direction
- Higher is better
- Comparison cohort
- research:qwen-3.8-27b:0
- Source type
- vendor-reported
- Evaluator
- Qwen official Hugging Face model card
- Status
- active
- Retrieved at
- 2026-09-08
- Methodology
- Vendor-reported result. Official model-card comparison table; exact target column, setup as published
Agentic coding SWE-bench Pro (Show measurement, test conditions, and source)
- Source value
- 61.7
- Score
- 61.7
- Metric
- percent
- Unit
- %
- Direction
- Higher is better
- Comparison cohort
- research:qwen-3.8-27b:1
- Source type
- vendor-reported
- Evaluator
- Qwen official Hugging Face model card
- Status
- active
- Retrieved at
- 2026-09-08
- Methodology
- Vendor-reported result. Official model-card comparison table; exact target column, setup as published
Repo-level code generation NL2Repo-Bench (Show measurement, test conditions, and source)
- Source value
- 42.3
- Score
- 42.3
- Metric
- percent
- Unit
- %
- Direction
- Higher is better
- Comparison cohort
- research:qwen-3.8-27b:2
- Source type
- vendor-reported
- Evaluator
- Qwen official Hugging Face model card
- Status
- active
- Retrieved at
- 2026-09-08
- Methodology
- Vendor-reported result. Official model-card comparison table; exact target column, setup as published
Agentic coding DeepSWE 1.1 (Show measurement, test conditions, and source)
- Source value
- 42.2
- Score
- 42.2
- Metric
- percent
- Unit
- %
- Direction
- Higher is better
- Comparison cohort
- research:qwen-3.8-27b:3
- Source type
- vendor-reported
- Evaluator
- Qwen official Hugging Face model card
- Status
- active
- Retrieved at
- 2026-09-08
- Methodology
- Vendor-reported result. Official model-card comparison table; exact target column, setup as published
Software engineering QwenSWEBench (Show measurement, test conditions, and source)
- Source value
- 79
- Score
- 79
- Metric
- percent
- Unit
- %
- Direction
- Higher is better
- Comparison cohort
- research:qwen-3.8-27b:4
- Source type
- vendor-reported
- Evaluator
- Qwen official Hugging Face model card
- Status
- active
- Retrieved at
- 2026-09-08
- Methodology
- Vendor-reported result. Official model-card comparison table; exact target column, setup as published
Long-horizon office work CoWorkBench (Show measurement, test conditions, and source)
- Source value
- 70.7
- Score
- 70.7
- Metric
- percent
- Unit
- %
- Direction
- Higher is better
- Comparison cohort
- research:qwen-3.8-27b:5
- Source type
- vendor-reported
- Evaluator
- Qwen official Hugging Face model card
- Status
- active
- Retrieved at
- 2026-09-08
- Methodology
- Vendor-reported result. Official model-card comparison table; exact target column, setup as published
Professional job tasks JobBench (Show measurement, test conditions, and source)
- Source value
- 33.4
- Score
- 33.4
- Metric
- percent
- Unit
- %
- Direction
- Higher is better
- Comparison cohort
- research:qwen-3.8-27b:6
- Source type
- vendor-reported
- Evaluator
- Qwen official Hugging Face model card
- Status
- active
- Retrieved at
- 2026-09-08
- Methodology
- Vendor-reported result. Official model-card comparison table; exact target column, setup as published
Instruction following IFBench (Show measurement, test conditions, and source)
- Source value
- 79.5
- Score
- 79.5
- Metric
- percent
- Unit
- %
- Direction
- Higher is better
- Comparison cohort
- research:qwen-3.8-27b:7
- Source type
- vendor-reported
- Evaluator
- Qwen official Hugging Face model card
- Status
- active
- Retrieved at
- 2026-09-08
- Methodology
- Vendor-reported result. Official model-card comparison table; exact target column, setup as published
Scientific reasoning GPQA Diamond (Show measurement, test conditions, and source)
- Source value
- 89.2
- Score
- 89.2
- Metric
- percent
- Unit
- %
- Direction
- Higher is better
- Comparison cohort
- research:qwen-3.8-27b:8
- Source type
- vendor-reported
- Evaluator
- Qwen official Hugging Face model card
- Status
- active
- Retrieved at
- 2026-09-08
- Methodology
- Vendor-reported result. Official model-card comparison table; exact target column, setup as published
Multidisciplinary reasoning HLE (Show measurement, test conditions, and source)
- Source value
- 30.8
- Score
- 30.8
- Metric
- percent
- Unit
- %
- Direction
- Higher is better
- Comparison cohort
- research:qwen-3.8-27b:9
- Source type
- vendor-reported
- Evaluator
- Qwen official Hugging Face model card
- Status
- active
- Retrieved at
- 2026-09-08
- Methodology
- Vendor-reported result. Official model-card comparison table; exact target column, setup as published
Competitive coding LiveCodeBench v6 (Show measurement, test conditions, and source)
- Source value
- 90.3
- Score
- 90.3
- Metric
- percent
- Unit
- %
- Direction
- Higher is better
- Comparison cohort
- research:qwen-3.8-27b:10
- Source type
- vendor-reported
- Evaluator
- Qwen official Hugging Face model card
- Status
- active
- Retrieved at
- 2026-09-08
- Methodology
- Vendor-reported result. Official model-card comparison table; exact target column, setup as published
Computer use OSWorld-Verified (Show measurement, test conditions, and source)
- Source value
- 84.3
- Score
- 84.3
- Metric
- percent
- Unit
- %
- Direction
- Higher is better
- Comparison cohort
- research:qwen-3.8-27b:11
- Source type
- vendor-reported
- Evaluator
- Qwen official Hugging Face model card
- Status
- active
- Retrieved at
- 2026-09-08
- Methodology
- Vendor-reported result. Official model-card comparison table; exact target column, setup as published
Our model tests
Community tests you can inspect
Compare how the models respond to the same prompt. Each test shows the first attempt, with no subsequent fixes to the generated code. These results do not contribute to an overall score.
Pelican on a bicycle
A community classic for free-form SVG drawing.
Prompt and test conditions
Generate an SVG of a pelican riding a bicycle
Token limit including reasoning: 8,192 tokens
Task origin (Simon Willison)Profile
Specifications and access
Published information about this model. Existing estimates are explicitly labeled.
Additional source observations
Dated documentation and model-card observations. Provider limits, native context and extended context can differ. Configuration notes retain the source wording.
- Weights repository
- Qwen/Qwen3.8-27BSource
- License
- Apache-2.0Source
- Architecture
- hybrid Gated DeltaNet + Gated Attention; dense or sparse MoE with vision encoderSource
- Input
- Text, Image, VideoSource
- Output
- TextSource
- Reasoning mode
- thinking by default; switchable non-thinking/instruct modeSource
- Tool calling
- YesSource
- Structured output
- YesSource
- Native context window
- 262,144 tokensSource
- Maximum context window
- 1,010,000 tokensSource
- Parameters
- 27 BSource
- Repository created
- 2026-08-05 (Repository creation date is a precise publication proxy, but may differ from the public announcement date or an individual checkpoint's first availability.)Source
Pricing
Published prices
Prices apply to the stated unit. Resolution, output length, and provider can change the cost.
Cost example
100 API requests
$0.205
100 requests with 1,000 input and 500 output tokens each calculate to $0.205. Input accounts for $0.045; output accounts for $0.16.
- Input price
- $0.45 / 1M tokensBase tier for each request
- Output price
- $3.2 / 1M tokensBase tier for each request
The calculation uses documented token prices and no cache discount. It excludes extra tools, tax, reasoning tokens, and further hidden output tokens.
Open sourceHead-to-head comparisons
Compare this model
Each matchup compares this model with exactly one other model from the same category.
There are no published direct comparisons for this model yet.
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Evidence
Sources and data date
Every statement links to its underlying documentation or leaderboard.
- Speed
Alibaba, xhigh effort. Output speed after the first streaming chunk, not total response time. Retrieved September 8, 2026.
- Price
Base API prices without caching or batch discounts. Higher context tiers and other rates are listed under Costs.
- Input
Documented modalities. Retrieved September 8, 2026.
- Output
Documented modalities. Retrieved September 8, 2026.
Research date September 8, 2026. 3 source URLs checked. This documents the inspected sources, not an exhaustive inventory of every publication.
Open evidence questions and research notes (original wording)
Not found in the inspected sources
knowledge-cutoff. No exact training-data cutoff was stated in the checked official card/report.
Not found in the inspected sources
active-parameters-billions. Dense checkpoint; no separate activated-parameter count is applicable/published.