Compare AI models
| Specifications | ||
ParametersThe learned values that shape how a model responds. B means billion and T means trillion. For mixture-of-experts models, the total count is larger than the number active for each token. Parameter count alone does not measure quality. | 2B/7B | 72B |
Context windowHow much information the model can work with in one request, measured in tokens — pieces of words or other data. This includes your question, attachments, conversation and reply. Limits can vary by model variant and provider. | 8k | 32k |
| Overview | ||
| Company | Qwen | |
| Release date | Feb 21 2024 | Nov 30 2023 |
| Access | Open Weight | Open Weight |
| Model details | View model | View model |
Other comparisons
Gemma 1vsClaude Haiku 5.5Qwen-72BvsClaude Haiku 5.5Gemma 1vsGPT-6.1 SolQwen-72BvsGPT-6.1 SolGemma 1vsMuse Spark OpenQwen-72BvsMuse Spark OpenGemma 1vsGrok 4.7Qwen-72BvsGrok 4.7Gemma 1vsDeepSeek-V4.1-Flash-1017Qwen-72BvsDeepSeek-V4.1-Flash-1017Gemma 1vsMistral Large 4Qwen-72BvsMistral Large 4Frequently asked questions
Gemma 1 and Qwen-72B don't publish scores on any of the same benchmarks, so there's no direct head-to-head comparison. Qwen-72B shipped 83 days before Gemma 1, so benchmark comparisons should account for the intervening progress.
Gemma 1 has 2B/7B parameters, while Qwen-72B has 72B. Context windows are 8k (Gemma 1) vs 32k (Qwen-72B).
Direct benchmark comparisons are unavailable — Gemma 1 and Qwen-72B don't publish scores on any of the same benchmarks.