Comparison · AI Models & LLMs
Qwen3.8-27B vs GPT-6 Luna
The same method as our rankings: scores from the engine, sourced data, verified prices.
Details: GPT-6 Luna →Details: Qwen3.8-27B →
GPT-6 Luna
OpenAI
Full sheet →- Context window
- 1.05M tokens
- Maximum output
- 128k tokens
- Input cost per 1M tokens
- $0.10
- Output cost per 1M tokens
- $0.50
Qwen3.8-27B
Full sheet →- Context window
- 262,144 tokens
- Open weights (downloadable)
- Yes
The numbers side by side
Each bar is the product's verified figure; on every row the longer bar is the higher of the two values.
- Context windowhigher is better
Who wins where
- For long documentsGPT-6 LunaContext window
GPT-6 Luna: reads images · GPT-6 Luna: calls tools and functions · Qwen3.8-27B: open weights (downloadable)
Data sheet side by side
Memory and answer length
Context window✓1.05M tokens301% more262,144 tokens
Maximum output128k tokensNot stated
API prices
Input cost per 1M tokens$0.10Not stated
Cached input cost per 1M tokens$0.01Not stated
Output cost per 1M tokens$0.50Not stated
Knowledge and abilities
Knowledge cutoffMay 2026Not stated
Reads imagesYesNot stated
Calls tools and functionsYesNot stated
Size and openness
ParametersNot stated27 billion
Open weights (downloadable)Not statedYes