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/67B | — |
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 | 200k |
| API pricingUSD per 1M tokens · lower wins | ||
Cheapest inputLowest input rate across every provider on OpenRouter, the lab included. The cheapest endpoint may run a quantised build or a shorter context — see "Available from" on the model page. | — | $1.10OpenAI |
Cheapest outputLowest output rate across every provider on OpenRouter, the lab included. May come from a different provider than the cheapest input. | — | $4.40OpenAI |
| — | $440OpenAI | |
| Overview | ||
| Company | DeepSeek | OpenAI |
| Release date | Nov 29 2023 | Jan 31 2025 |
| Access | Open Weight | Closed |
| Model details | View model | View model |
Other comparisons
DeepSeek-LLMvsClaude Haiku 5.5o3-mini-highvsClaude Haiku 5.5DeepSeek-LLMvsGemini 4 Argono3-mini-highvsGemini 4 ArgonDeepSeek-LLMvsMuse Spark Openo3-mini-highvsMuse Spark OpenDeepSeek-LLMvsGrok 4.7o3-mini-highvsGrok 4.7DeepSeek-LLMvsMistral Large 4o3-mini-highvsMistral Large 4DeepSeek-LLMvsKimi K3o3-mini-highvsKimi K3Frequently asked questions
DeepSeek-LLM and o3-mini-high don't publish scores on any of the same benchmarks, so there's no direct head-to-head comparison. DeepSeek-LLM shipped 429 days before o3-mini-high, so benchmark comparisons should account for the intervening progress.
Context windows are 4k (DeepSeek-LLM) vs 200k (o3-mini-high). DeepSeek-LLM is open weight, while o3-mini-high is closed.
Direct benchmark comparisons are unavailable — DeepSeek-LLM and o3-mini-high don't publish scores on any of the same benchmarks.