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. | 1.3B/5.7B/6.7B/33B | — |
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. | 16k | 1M |
| Overview | ||
| Company | DeepSeek | Qwen |
| Release date | Nov 2 2023 | Nov 11 2026 |
| Access | Open Weight | Closed |
| Model details | View model | View model |
Other comparisons
DeepSeek CodervsClaude Fable 5.2Qwen4-Max PreviewvsClaude Fable 5.2DeepSeek CodervsGPT-6.1 TerraQwen4-Max PreviewvsGPT-6.1 TerraDeepSeek CodervsGemini 4 CarbonQwen4-Max PreviewvsGemini 4 CarbonDeepSeek CodervsMuse EmberQwen4-Max PreviewvsMuse EmberDeepSeek CodervsGrok 4.7Qwen4-Max PreviewvsGrok 4.7DeepSeek CodervsMistral Large 4Qwen4-Max PreviewvsMistral Large 4Frequently asked questions
DeepSeek Coder and Qwen4-Max Preview don't publish scores on any of the same benchmarks, so there's no direct head-to-head comparison. DeepSeek Coder shipped 1105 days before Qwen4-Max Preview, so benchmark comparisons should account for the intervening progress.
Context windows are 16k (DeepSeek Coder) vs 1M (Qwen4-Max Preview). DeepSeek Coder is open weight, while Qwen4-Max Preview is closed.
Direct benchmark comparisons are unavailable — DeepSeek Coder and Qwen4-Max Preview don't publish scores on any of the same benchmarks.