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. | — | 0.5B/1.8B/4B/7B/14B/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. | 32k | 32k |
| Overview | ||
| Company | Qwen | |
| Release date | Dec 13 2023 | Feb 4 2024 |
| Access | Closed | Open Weight |
| Model details | View model | View model |
Other comparisons
Gemini 1.0 ProvsClaude Haiku 5.5Qwen1.5vsClaude Haiku 5.5Gemini 1.0 ProvsGPT-6.1 SolQwen1.5vsGPT-6.1 SolGemini 1.0 ProvsMuse Spark OpenQwen1.5vsMuse Spark OpenGemini 1.0 ProvsGrok 4.7Qwen1.5vsGrok 4.7Gemini 1.0 ProvsDeepSeek-V4.1-Flash-1017Qwen1.5vsDeepSeek-V4.1-Flash-1017Gemini 1.0 ProvsMistral Large 4Qwen1.5vsMistral Large 4Frequently asked questions
Gemini 1.0 Pro and Qwen1.5 don't publish scores on any of the same benchmarks, so there's no direct head-to-head comparison. Gemini 1.0 Pro shipped 53 days before Qwen1.5, so benchmark comparisons should account for the intervening progress.
Context windows are 32k (Gemini 1.0 Pro) vs 32k (Qwen1.5). Gemini 1.0 Pro is closed, while Qwen1.5 is open weight.
Direct benchmark comparisons are unavailable — Gemini 1.0 Pro and Qwen1.5 don't publish scores on any of the same benchmarks.