DeepSeek V4 Pro (Max) API Benchmarks: Latency, Throughput & Cost Analysis

DeepSeek V4 Pro is a Mixture-of-Experts language model with 1.6 trillion total parameters and utilizes a unique hybrid attention architecture to enhance efficiency in long-context inference. Released under the MIT license, it is pre-trained on over 32 trillion tokens and is available through multiple API providers, with benchmarks evaluating performance in terms of speed, latency, and cost. DeepInfra (FP4) emerges as the recommended provider for production deployments, offering a balanced combination of cost-effectiveness, latency, and stability, despite having a smaller context window of 66k tokens compared to others providing up to 1M tokens. Fireworks stands out for its raw throughput, achieving a remarkable output speed of 167.1 tokens per second, while Together.ai offers the lowest initial latency. The choice of provider depends on specific needs such as speed, cost, or context window requirements, making DeepInfra, Fireworks, and Together.ai suitable for different use cases.

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