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/1.5B/7B/57B/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 | 128k |
| Overview | ||
| Company | Qwen | |
| Release date | Feb 8 2024 | Jun 6 2024 |
| Access | Closed | Open Weight |
| Model details | View model | View model |
Other comparisons
Gemini 1.0 UltravsClaude Haiku 5.5Qwen2vsClaude Haiku 5.5Gemini 1.0 UltravsGPT-6.1 SolQwen2vsGPT-6.1 SolGemini 1.0 UltravsMuse Spark OpenQwen2vsMuse Spark OpenGemini 1.0 UltravsGrok 4.7Qwen2vsGrok 4.7Gemini 1.0 UltravsDeepSeek-V4.1-Flash-1017Qwen2vsDeepSeek-V4.1-Flash-1017Gemini 1.0 UltravsMistral Large 4Qwen2vsMistral Large 4Frequently asked questions
Gemini 1.0 Ultra and Qwen2 don't publish scores on any of the same benchmarks, so there's no direct head-to-head comparison. Gemini 1.0 Ultra shipped 119 days before Qwen2, so benchmark comparisons should account for the intervening progress.
Context windows are 32k (Gemini 1.0 Ultra) vs 128k (Qwen2). Gemini 1.0 Ultra is closed, while Qwen2 is open weight.
Direct benchmark comparisons are unavailable — Gemini 1.0 Ultra and Qwen2 don't publish scores on any of the same benchmarks.