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. | 236B | — |
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. | 128k | 128k |
| Overview | ||
| Company | DeepSeek | OpenAI |
| Release date | Sep 5 2024 | Feb 12 2026 |
| Access | Open Weight | Closed |
| Model details | View model | View model |
Other comparisons
DeepSeek V2.5vsClaude Haiku 5.5GPT-5.3-Codex-SparkvsClaude Haiku 5.5DeepSeek V2.5vsGemini 4 ArgonGPT-5.3-Codex-SparkvsGemini 4 ArgonDeepSeek V2.5vsMuse Spark OpenGPT-5.3-Codex-SparkvsMuse Spark OpenDeepSeek V2.5vsGrok 4.7GPT-5.3-Codex-SparkvsGrok 4.7DeepSeek V2.5vsMistral Large 4GPT-5.3-Codex-SparkvsMistral Large 4DeepSeek V2.5vsKimi K3GPT-5.3-Codex-SparkvsKimi K3Frequently asked questions
DeepSeek V2.5 and GPT-5.3-Codex-Spark don't publish scores on any of the same benchmarks, so there's no direct head-to-head comparison. DeepSeek V2.5 shipped 525 days before GPT-5.3-Codex-Spark, so benchmark comparisons should account for the intervening progress.
Context windows are 128k (DeepSeek V2.5) vs 128k (GPT-5.3-Codex-Spark). DeepSeek V2.5 is open weight, while GPT-5.3-Codex-Spark is closed.
Direct benchmark comparisons are unavailable — DeepSeek V2.5 and GPT-5.3-Codex-Spark don't publish scores on any of the same benchmarks.