DeepSeek-V4-Flash
B.AI will progressively route requests made using the DeepSeek-V4-Flash and DeepSeek-V4-Flash-Vision-Exp model names to DeepSeek-V4.1-Flash. After routing takes effect, these requests are billed at the applicable DeepSeek-V4.1-Flash price.
Overview
DeepSeek-V4-Flash is DeepSeek's high-efficiency open-source language model, released alongside V4-Pro on April 24, 2026 under the MIT License. With 284 billion total parameters and only 13 billion active parameters, it delivers performance within striking distance of V4-Pro at roughly one-third of the standard input and output price, making it one of the most cost-effective models available.
DeepSeek-V4-Flash
From the effective time, eligible DeepSeek-V4-Flash API usage is billed at 50% of the standard price for the applicable period. The discounted price changes in step with DeepSeek's Off-Peak and Peak pricing periods and remains at 50% in either period.
The pricing table below continues to show standard reference prices. Actual settlement and final billing are subject to the platform display.
Key Features
- Ultra-Efficient Architecture: 284B total parameters with just 13B activated per forward pass, resulting in a compact 160GB download that runs on significantly less hardware than frontier models while maintaining strong performance.
- 1M-Token Context Window: Shares the same 1-million-token context and 384K max output as V4-Pro, powered by the same CSA/HCA hybrid attention mechanism for efficient long-context inference.
- Near-Pro Performance at Lower Cost: Scores 79.0% on SWE-bench Verified, only 1.6 percentage points behind V4-Pro's 80.6%, while its standard reference price is 0.44/1.32 Credits per input/output token.
- Flash-Max Reasoning Mode: When given a larger thinking budget (384K+ context), V4-Flash-Max achieves comparable reasoning performance to V4-Pro, closing the gap on complex tasks.
Best Use Cases
- High-Volume API Workloads: With a standard reference input price of 0.44 Credits per token, Flash is ideal for applications that process large volumes of text where cost per query matters more than marginal accuracy gains.
- Self-Hosted Deployments: The 160GB model size and 13B active parameters make it feasible for on-premise or single-node GPU deployments, unlike larger frontier models.
- Agentic Tool-Use Pipelines: Strong tool-calling and coding capabilities paired with low latency make it well-suited for multi-step agent workflows where many LLM calls are chained together.
Capabilities and Limitations
| Capability | Description |
|---|---|
| Reasoning | Competitive with Claude Sonnet 4.6 level intelligence (47 on Artificial Analysis Index) |
| Coding | 79.0% SWE-bench Verified; 64.4 average across coding benchmarks |
| Multimodal | Text-only; no image, audio, or video support |
| Response Speed | Optimized for high throughput with 13B active parameters and efficient attention |
| Context Window | 1,000,000 tokens |
| Max Output | 384,000 tokens |
| Tool Use | Function calling support; strong agentic task performance |
| Multilingual | Broad multilingual support; strongest in English and Chinese |
Known Limitations
- Text-only, with no multimodal capabilities.
- Falls behind V4-Pro and frontier closed-source models on pure knowledge tasks and the most complex agentic workflows due to smaller parameter scale.
- May require Flash-Max mode (larger thinking budget) to match Pro-level reasoning, increasing latency and cost for complex tasks.
Standard Pricing
The token prices below are shown in USD per 1 million tokens; web search is billed in USD per use.
| Billing Period | Input (USD / 1M Tokens) | Cache Write (USD / 1M Tokens) | Cache Read (USD / 1M Tokens) | Output (USD / 1M Tokens) | Web Search (USD / use) | Billing Notes |
|---|---|---|---|---|---|---|
| Off-Peak | $0.15 | $0.15 | $0.003 | $0.60 | - | Cache Write: 1x input; Cache Read: 0.02x input |
| Peak | $0.30 | $0.30 | $0.006 | $1.20 | - | Cache Write: 1x input; Cache Read: 0.02x input |
Credits settlement: B.AI converts charges at 1 USD = 1,000,000 Credits and deducts Credits from the account balance.
The standard reference prices above take effect at 12:00 on September 10, 2026 (Beijing Time, UTC+8). The table shows the time-based standard reference price for DeepSeek-V4-Flash. Off-Peak prices are half of Peak prices. In Beijing Time (UTC+8), 09:00-12:00 and 14:00-18:00, Monday through Friday (excluding Chinese public holidays), are Peak periods; all other times, including weekends and Chinese public holidays, are Off-Peak periods. DeepSeek-V4-Flash usage in B.AI Chat is billed at Off-Peak rates. From 17:00 on September 3, 2026 (UTC+8), eligible API usage is billed at 50% of the standard price for the applicable period. Final settlement prices and billing records are subject to the platform display. B.AI may provide lower actual usage costs through top-up bonuses and account benefits.