Qwen3.8 27B scores 52 on Artificial Analysis

Alibaba's Qwen3.8 27B reasoning model scored 52 on the Artificial Analysis Intelligence Index, well above the median of 9 for comparable open-weight models, and is priced at $0.00 per 1M input and output tokens. The model, released on August 14, 2026, supports text and image input with a 256k token context window.

Qwen3.8 27B Intelligence, Performance & Price Analysis Model summary Speed Qwen3.8 27B is amongst the leading models in intelligence and well priced when comparing to other open weight models of similar size. The model supports text and image input, outputs text, and has a 256k tokens context window. Qwen3.8 27B scores 52 on the Artificial Analysis Intelligence Index, placing it well above average among comparable models median: 9 . When evaluating the Intelligence Index, it generated 160M tokens, which is very verbose in comparison to the median of 43M. Pricing for Qwen3.8 27B is $0.00 per 1M input tokens competitively priced, median: $0.04 and $0.00 per 1M output tokens competitively priced, median: $0.15 . | Reasoning | Yes This page shows the reasoning version of this model. A non-reasoning variant may also exist. | |---|---| | Input modality | Supports: text and image | | Output modality | Supports: text | | Context window | 256k ~384 A4 pages of size 12 Arial font | | Total parameters | 27B | | License | | Hugging Face https://huggingface.co/Qwen/Qwen3.8-27B Metrics are compared against models of the same class: - Non-reasoning models → compared only with other non-reasoning models - Reasoning models → compared across both reasoning and non-reasoning - Open weights models → compared only with other open weights models of the same size class: - Tiny: ≤4B parameters - Small: 4B–40B parameters - Medium: 40B–150B parameters - Large: 150B parameters - Proprietary models → compared across proprietary and open weights models of the same price range, using a blended 3:1 input/output price ratio: - <$0.15 per 1M tokens - $0.15–$1 per 1M tokens - $1 per 1M tokens Highlights Speed Intelligence Artificial Analysis Intelligence Index Artificial Analysis Intelligence Index by Open Weights / Proprietary Intelligence Evaluations Agentic real-world work tasks, Elo-500 /2000 𝜏³-Banking /evaluations/tau3-banking Updated Agentic tool use Agentic coding & terminal use Coding Humanity's Last Exam /evaluations/humanitys-last-exam Updated Reasoning & knowledge Scientific reasoning Physics reasoning AA-Omniscience Accuracy /evaluations/omniscience Updated Knowledge 1 - hallucination rate AA-LCR /evaluations/artificial-analysis-long-context-reasoning Updated Long context reasoning Agentic knowledge work, Elo Agentic SaaS workflows Legal agentic work, criterion pass rate Agentic business operations Quantitative analysis on spreadsheets & documents Instruction following Long-horizon agentic tasks Kubernetes incident root-cause analysis Visual reasoning AA-Omniscience AA-Omniscience Index Openness Index Artificial Analysis Openness Index: Score Intelligence Index Comparisons Intelligence Index vs. Cost per Intelligence Index Task Token Use Output Tokens per Intelligence Index Task Cost Cost per Intelligence Index Task Cost to Run Artificial Analysis Intelligence Index Pricing: Cache Hit, Input, and Output Context Window Context Window Model Size Open Weights Models Only Model Size: Total and Active Parameters Frequently Asked Questions Common questions about Qwen3.8 27B Qwen3.8 27B was released on August 14, 2026. Qwen3.8 27B was created by Alibaba. Qwen3.8 27B scores 52 on the Artificial Analysis Intelligence Index, placing it well above average among other open weight models of similar size median: 9 . When evaluated on the Intelligence Index, Qwen3.8 27B generated 160M output tokens, which is at the higher end compared to other open weight models of similar size median: 43M . Yes, Qwen3.8 27B is a reasoning model. It uses extended thinking or chain-of-thought reasoning to work through complex problems before providing an answer. Qwen3.8 27B supports text and image input. Qwen3.8 27B supports text output. Yes, Qwen3.8 27B supports image input and can analyze, describe, and answer questions about images. Yes, Qwen3.8 27B is multimodal. It can process text and image input and generate text output. Qwen3.8 27B has a context window of 260k tokens. This determines how much text and conversation history the model can process in a single request. Yes, Qwen3.8 27B is open weights. The model weights are publicly available and can be downloaded for self-hosting. Qwen3.8 27B has 27 billion parameters. Qwen3.8 27B is released under the Apache 2.0 license. This license allows commercial use. View license https://www.apache.org/licenses/LICENSE-2.0 Qwen3.8 27B achieves a score of 52 on the Artificial Analysis Intelligence Index. This composite benchmark evaluates models across reasoning, knowledge, mathematics, and coding. Qwen3.8 27B is an open weights model that can be self-hosted. View providers /models/qwen3-8-27b/providers Qwen3.8 27B is an open weights model that can be downloaded and self-hosted. Compare providers /models/qwen3-8-27b/providers