Compare AI models
| Specifications | ||
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. | 1M | 32k |
| These models have no shared benchmark scores. | ||
BullshitBench v2Nonsense detection — Given a confidently-worded but nonsensical prompt, does the AI spot that it makes no sense and push back — instead of playing along and inventing an answer? The score is how often it clearly called out the nonsense. Higher is better. | 15% | — |
| Overview | ||
| Company | Qwen | |
| Release date | Jan 30 2025 | Jan 28 2025 |
| Access | Closed | Closed |
| Model details | View model | View model |
Other comparisons
Gemini 2.0 FlashvsClaude Haiku 5.5Qwen2.5-MaxvsClaude Haiku 5.5Gemini 2.0 FlashvsGPT-6.1 SolQwen2.5-MaxvsGPT-6.1 SolGemini 2.0 FlashvsMuse Spark OpenQwen2.5-MaxvsMuse Spark OpenGemini 2.0 FlashvsGrok 4.7Qwen2.5-MaxvsGrok 4.7Gemini 2.0 FlashvsDeepSeek-V4.1-Flash-1017Qwen2.5-MaxvsDeepSeek-V4.1-Flash-1017Gemini 2.0 FlashvsMistral Large 4Qwen2.5-MaxvsMistral Large 4Frequently asked questions
Gemini 2.0 Flash and Qwen2.5-Max don't publish scores on any of the same benchmarks, so there's no direct head-to-head comparison. Qwen2.5-Max shipped 2 days before Gemini 2.0 Flash, so benchmark comparisons should account for the intervening progress.
Context windows are 1M (Gemini 2.0 Flash) vs 32k (Qwen2.5-Max).
Direct benchmark comparisons are unavailable — Gemini 2.0 Flash and Qwen2.5-Max don't publish scores on any of the same benchmarks.