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deepseekReleased Sep 10

DeepSeek: DeepSeek V4.1 Flash

Causal encoder-decoder activates 8B parameters for input and 16B for output, reducing the compute needed for long inputs.

1M contextImage inputTool calling

LiveBenchEffort: max · single run · equal mean of 7 suites78.04%

$0.0464in$0.08out/ 1M tokens · USDOpenInference · via OpenRouteropen-inference/fp4 · quantization=fp4

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zai-orgReleased Aug 26

GLM-5.3-Flash is a native multimodal model from Z.ai. It is suited for efficient coding and long-horizon agent tasks. Its hybrid sparse and linear attention architecture maintains accurate long-context…

1M contextImage inputVideo input

AA IntelligenceEffort: max41.81 LiveBenchEffort: max · single run · equal mean of 7 suites70.61%

$0.048in$0.20out/ 1M tokens · USDOpenInference · via OpenRouteropen-inference/fp4 · quantization=fp4

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deepseek-aiListed Jul 31

DeepSeek-V4-Flash-0731

DeepSeek-V4-Flash-0731 is the official release of DeepSeek-V4-Flash, superseding the preview version, with substantially enhanced agentic capabilities. DeepSeek-V4-Flash-0731 outperforms DeepSeek-V4-Pro…

1M contextTool callingStructured outputNo reported score

No reported score

$0.00912in$0.12out/ 1M tokens · USDOpenInference · via OpenRouteropen-inference/fp4 · quantization=fp4

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deepseek-aiListed Apr 22

DeepSeek-V4-Flash

DeepSeek V4 Flash is an efficiency-focused MoE model with 284B total parameters (13B active) and a 1M-token context window. It's tuned for fast inference and high-throughput use cases while still holding up…

1M contextTool callingStructured outputNo reported score

No reported score

$0.04in$0.136out/ 1M tokens · USDOpenInference · via OpenRouteropen-inference/fp4 · quantization=fp4

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