DeepSeek V4.1 Flash 1017 (Max) debuts with 1M-token context and strong benchmark score
DeepSeek has released V4.1 Flash 1017 (Max), a multimodal model accepting text and image input and producing text output, with a 1 million token context window. The model scored 45 on the Artificial Analysis Intelligence Index, well above the comparable median of 19, while running at 230 tokens per second.
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The combination of above-average intelligence scores and moderate pricing ($0.30/$1.20 per million input/output tokens) could make the model an attractive option for developers weighing cost against capability among open-weight models. Its high verbosity, generating 210M tokens during evaluation versus a 140M median, suggests users may face higher per-task costs or slower practical throughput despite its raw speed rating.
- Scores 45 on the Artificial Analysis Intelligence Index, above the median of 19 for comparable models
- Priced at $0.30 per 1M input tokens and $1.20 per 1M output tokens, both below category medians
- Runs at 230 tokens per second but is notably verbose, raising average cost per evaluation task to $0.26
Source: artificialanalysis.ai, 2026-10-19
Published there as: “DeepSeek V4.1 Flash 1017 (Max)”
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