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Explore 20 live DeepSeek models on FreeInd's multi-model AI platform, each with a fixed credit rate, real sample outputs, and every routing provider that serves it.
FreeInd is an independent platform and is not affiliated with, endorsed by, or sponsored by DeepSeek or the creators or owners of the underlying AI models. The DeepSeek name and mark appear solely to identify the integrations available on this platform.
Every live DeepSeek model with its rate per generation or per second of output and real sample outputs.
Ready to generate on demand — pick this model and start creating immediately.
Rate
7 credits
per generation
Ready to generate on demand — pick this model and start creating immediately.
Rate
7 credits
per generation
Ready to generate on demand — pick this model and start creating immediately.
Rate
7 credits
per generation
DeepSeek V4.1 Flash is a sparse mixture-of-experts model from DeepSeek, and the first built on the company's Causal Encoder-Decoder (CED) architecture. It activates 8B parameters on input and 16B on
Rate
7 credits
per generation
DeepSeek V3, a 685B-parameter, mixture-of-experts model, is the latest iteration of the flagship chat model family from the DeepSeek team. It succeeds the DeepSeek V3 model and performs really well
Rate
7 credits
per generation
DeepSeek-V3.1 Terminus is an update to DeepSeek V3.1 that maintains the model's original capabilities while addressing issues reported by users, including language consistency and agent capabilities, further optimizing the model's
Rate
7 credits
per generation
DeepSeek V4 Flash Vision Exp is an experimental vision-enabled version of DeepSeek V4 Flash 0731 from DeepSeek, adding image understanding while matching the base model on text capabilities including agents,
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7 credits
per generation
DeepSeek V4 Pro 0813 is a large-scale mixture-of-experts model from DeepSeek. This is the GA release of DeepSeek V4 Pro.
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7 credits
per generation
May 28th update to the original DeepSeek R1 Performance on par with OpenAI o1, but open-sourced and with fully open reasoning tokens. It's 671B parameters in size, with 37B active
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7 credits
per generation
DeepSeek-V3.2-Exp is an experimental large language model released by DeepSeek as an intermediate step between V3.1 and future architectures. It introduces DeepSeek Sparse Attention (DSA), a fine-grained sparse attention mechanism
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7 credits
per generation
DeepSeek V4 Pro is a large-scale Mixture-of-Experts model from DeepSeek with 1.6T total parameters and 49B activated parameters, supporting a 1M-token context window. It is designed for advanced reasoning, coding,
Rate
7 credits
per generation
This model always redirects to the latest model in the DeepSeek Pro family.
Rate
7 credits
per generation
DeepSeek V4.1 Flash is a sparse mixture-of-experts model from DeepSeek, and the first built on the company's Causal Encoder-Decoder (CED) architecture. It activates 8B parameters on input and 16B on
Rate
7 credits
per generation
This model always redirects to the latest model in the DeepSeek V4 Flash family.
Rate
7 credits
per generation
DeepSeek-V3.2 is a large language model designed to harmonize high computational efficiency with strong reasoning and agentic tool-use performance. It introduces DeepSeek Sparse Attention (DSA), a fine-grained sparse attention mechanism
Rate
7 credits
per generation
This model always redirects to the latest model in the DeepSeek Flash family.
Rate
7 credits
per generation
DeepSeek V4.1 Flash 1017 is the October 17, 2026 snapshot of DeepSeek V4.1 Flash, served by DeepSeek under the deepseek-flash API model name. V4.1 Flash is a sparse mixture-of-experts model
Rate
7 credits
per generation
DeepSeek V4 Flash 0731 is a sparse mixture-of-experts model from DeepSeek, with 13B active parameters out of 284B total. This re-post-trained revision is suited for coding, reasoning, and agent workflows.
Rate
7 credits
per generation
Showing 1–18 of 20 active models· rates are per generation (images) or per sec of output (video/audio)
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