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. | 7B | — |
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. | 4k | 400k |
| API pricingUSD per 1M tokens · lower wins | ||
Input priceWhat you pay for everything you send the model — your question, plus any documents or earlier conversation you include with it. | — | $12.50 |
Output priceWhat you pay for the text the model writes back. It is normally the dearer half: producing an answer costs more than reading one. | — | $75.00 |
Cached input priceA reduced rate for text you send over and over. If every request starts with the same instructions or the same document, the provider keeps a copy ready and charges less to read it again. | — | $1.25 |
| — | $6,250OpenAI list price | |
| These models have no shared benchmark scores. | ||
Advanced Cybersecurity Completion Rate (Internal)Agentic tasks — share of advanced cyber requests the model responds to; measures willingness to answer, not exploit success | — | 95% |
| Overview | ||
| Company | DeepSeek | OpenAI |
| Release date | Feb 5 2024 | Aug 10 2026 |
| Access | Open Weight | Closed |
| Model details | View model | View model |
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DeepSeek-Math and GPT-5.6 Cyber don't publish scores on any of the same benchmarks, so there's no direct head-to-head comparison. Only GPT-5.6 Cyber has a verified first-party price for an available API: $12.50 per million input tokens and $75.00 per million output tokens. No currently available pay-as-you-go API rate is tracked for DeepSeek-Math. DeepSeek-Math shipped 917 days before GPT-5.6 Cyber, so benchmark comparisons should account for the intervening progress.
Context windows are 4k (DeepSeek-Math) vs 400k (GPT-5.6 Cyber). DeepSeek-Math is open weight, while GPT-5.6 Cyber is closed.
Direct benchmark comparisons are unavailable — DeepSeek-Math and GPT-5.6 Cyber don't publish scores on any of the same benchmarks.