DeepSeek V4.1 Flash 1017 scores 45 on Artificial Analysis Intelligence Index
·2026.10.19 13:41
Key point
The open-weights MoE model achieves a score of 45, significantly above the median of 19 for similar-sized models, while offering 230.4 tokens/sec output speed.
Details
- DeepSeek V4.1 Flash 1017 (Max) achieves an Artificial Analysis Intelligence Index score of 45, ranking #2 out of 121 models in its class.
- The model features a 552B total parameter MoE architecture with 16B active parameters per token and a 1M token context window.
- Output speed reaches 230.4 tokens per second, compared to a median of 77.9 tokens per second for similar-sized open-weight models.
- Pricing is set at $0.30 per 1M input tokens and $1.20 per 1M output tokens, with a 98% cache discount available.
Model Specifications
- Released in October 2026 under the MIT license with open weights available on Hugging Face.
- Supports text and image input with text output, utilizing a reasoning model architecture.
- Available via five providers with performance metrics based on the first-party DeepSeek API.
Performance and Cost
- Intelligence Index evaluation generated 210M output tokens, indicating high verbosity compared to the 140M median.
- Cost per Intelligence Index task averages $0.26, with a blended rate of $0.18 per 1M tokens.
- Time to first token (TTFT) is 1.08 seconds, lower than the 1.69-second median for comparable models.
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