DeepSeek: DeepSeek V4 Flash 0731 review: specs, pricing, and where it fits

The quick read

DeepSeek: DeepSeek V4 Flash 0731 is the value story of this snapshot: from deepseek, it pairs a 1.0M window with some of the lowest token pricing on the board (#9). That combination is exactly what AI Hippo's context-per-dollar score rewards, which is why it sits near the top.

Spec sheet at a glance

By the numbers: 1.0M context window; text-in / text-out; 21 exposed API parameters, including tool calling and structured outputs with reasoning support. Use these to judge fit for agentic, long-context, or structured-output workloads.

Pricing & how it compares

Pricing: $0.09 input / $0.18 output per 1M tokens. Its blended $0.14 is at or below the top-20 median ($0.66). On AI Hippo the composite board rewards cheap long-context models such as Meta: Llama 4 Scout, so a lower rank here means weaker value-per-token, not weaker capability.

Head-to-head

Its closest board neighbor is Poolside: Laguna S 2.1 (1.0M ctx, $0.14/1M blended). Side by side, DeepSeek: DeepSeek V4 Flash 0731 offers 1.0M ctx at $0.14/1M blended: context is similar and, on blended token price, it is level. Pick between them on whichever axis your workload is bound by.

Where it fits

Best-fit workloads: whole-repo & long-document work, tool-calling agents, structured-output pipelines, multi-step reasoning, high-volume, cost-sensitive batch.

Cost in practice & verdict

A representative 100K-input + 20K-output task costs about $0.01 on DeepSeek: DeepSeek V4 Flash 0731. Verdict: strong price-performance for a default, high-volume workhorse where every token counts.

Sources

• AI Hippo unified rankings
• Multi-source token pricing
• OpenRouter models API