DeepSeek V4 Flash 0731 Intelligence, Performance and Price Analysis

DeepSeek released DeepSeek V4 Flash 0731 on July 31, 2026, scoring 50 on the Artificial Analysis Intelligence Index, well above the median of 17 for comparable reasoning models. Priced at $0.14 per 1M input tokens and $0.28 per 1M output tokens, it is competitively priced against the medians of $0.25 and $0.88, respectively. The model supports text input and output with a 1M token context window.

DeepSeek V4 Flash 0731 Intelligence, Performance & Price Analysis Model summary Intelligence Speed Price Cache Hit Price Verbosity DeepSeek V4 Flash 0731 is amongst the leading models in intelligence and well priced when comparing to other models of similar price. The model supports text input, outputs text, and has a 1M tokens context window. DeepSeek V4 Flash 0731 scores 50 on the Artificial Analysis Intelligence Index, placing it well above average among comparable models median: 17 . When evaluating the Intelligence Index, it generated 210M tokens, which is very verbose in comparison to the median of 62M. Pricing for DeepSeek V4 Flash 0731 is $0.14 per 1M input tokens competitively priced, median: $0.25 and $0.28 per 1M output tokens competitively priced, median: $0.88 . In total, it cost $72.02 to evaluate DeepSeek V4 Flash 0731 on the Intelligence Index. | Reasoning | Yes This page shows the reasoning version of this model. A non-reasoning variant may also exist. | |---|---| | Input modality | Supports: text | | Output modality | Supports: text | | Context window | 1M ~1500 A4 pages of size 12 Arial font | Metrics are compared against models of the same class: - Non-reasoning models → compared only with other non-reasoning models - Reasoning models → compared across both reasoning and non-reasoning - Open weights models → compared only with other open weights models of the same size class: - Tiny: ≤4B parameters - Small: 4B–40B parameters - Medium: 40B–150B parameters - Large: 150B parameters - Proprietary models → compared across proprietary and open weights models of the same price range, using a blended 3:1 input/output price ratio: - <$0.15 per 1M tokens - $0.15–$1 per 1M tokens - $1 per 1M tokens Highlights Speed Intelligence Artificial Analysis Intelligence Index Artificial Analysis Intelligence Index by Open Weights / Proprietary Intelligence Evaluations Agentic real-world work tasks, Elo-500 /2000 Agentic tool use Agentic coding & terminal use Coding Reasoning & knowledge Scientific reasoning Physics reasoning Knowledge 1 - hallucination rate Long context reasoning Agentic knowledge work, Elo Agentic SaaS workflows Legal agentic work, criterion pass rate Agentic business operations Instruction following Long-horizon agentic tasks Kubernetes incident root-cause analysis Visual reasoning AA-Omniscience AA-Omniscience Index Intelligence Index Comparisons Intelligence Index vs. Cost per Intelligence Index Task Token Use Output Tokens per Intelligence Index Task Cost Cost per Intelligence Index Task Cost to Run Artificial Analysis Intelligence Index Pricing: Cache Hit, Input, and Output Context Window Context Window Frequently Asked Questions Common questions about DeepSeek V4 Flash 0731 DeepSeek V4 Flash 0731 was released on July 31, 2026. DeepSeek V4 Flash 0731 was created by DeepSeek. DeepSeek V4 Flash 0731 scores 50 on the Artificial Analysis Intelligence Index, placing it well above average among other reasoning models in a similar price tier median: 17 . DeepSeek V4 Flash 0731 costs $0.14 per 1M input tokens very competitive, median: $0.25 and $0.28 per 1M output tokens very competitive, median: $0.88 , based on DeepSeek's API. DeepSeek V4 Flash 0731 costs $0.14 per 1M input tokens and $0.28 per 1M output tokens based on DeepSeek's API . For a blended rate 7:2:1 cache hit/input/output ratio , this is $0.06 per 1M tokens. Pricing may vary by provider. Compare provider pricing /models/deepseek-v4-flash-ga/providers When evaluated on the Intelligence Index, DeepSeek V4 Flash 0731 generated 210M output tokens, which is at the higher end compared to other reasoning models in a similar price tier median: 62M . Yes, DeepSeek V4 Flash 0731 is a reasoning model. It uses extended thinking or chain-of-thought reasoning to work through complex problems before providing an answer. DeepSeek V4 Flash 0731 supports text input. DeepSeek V4 Flash 0731 supports text output. No, DeepSeek V4 Flash 0731 does not support image input. It can only process text. No, DeepSeek V4 Flash 0731 is not multimodal. It only supports text input. DeepSeek V4 Flash 0731 has a context window of 1.0M tokens. This determines how much text and conversation history the model can process in a single request. No, DeepSeek V4 Flash 0731 is proprietary. The model weights are not publicly available. DeepSeek V4 Flash 0731 has 284 billion parameters. DeepSeek V4 Flash 0731 achieves a score of 50 on the Artificial Analysis Intelligence Index. This composite benchmark evaluates models across reasoning, knowledge, mathematics, and coding. Yes, DeepSeek V4 Flash 0731 is available via API through 1 provider. Compare API providers /models/deepseek-v4-flash-ga/providers DeepSeek V4 Flash 0731 is available through 1 API provider. Compare providers /models/deepseek-v4-flash-ga/providers