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 | Apache 2.0 |
| Model weights | Hugging Face |

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

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 achieves a score of 52 on the Artificial Analysis Intelligence Index. This composite benchmark evaluates models across reasoning, knowledge, mathematics, and coding.