DeepSeek • LLM
DeepSeek: DeepSeek V4 Flash by DeepSeek
Context Window
1.0M tokens
Input Price/1M
$0.14
Output Price/1M
$0.28
Parameters
—
Max Output
131K tokens
DeepSeek V4 Flash results on the main AI model evaluation benchmarks. Higher scores indicate better performance.
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| Terminal-Bench Hard | 39.0 | 100.0 | — |
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| SciCode | 45.0 | 100.0 | — |
| AA Coding Index | 39.8 | 100.0 | Artificial Analysis official API |
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| AA-LCR | 63.0 | 100.0 | — |
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| AA Intelligence Index | 46.5 | 100.0 | Artificial Analysis official API |
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| GPQA Diamond | 89.0 | 100.0 | Artificial Analysis official API |
| IFBench | 79.0 | 100.0 | — |
| HLE | 32.0 | 100.0 | — |
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| Tau²-Bench | 96.0 | 100.0 | — |
DeepSeek V4 Flash is an AI model developed by DeepSeek, classified as a large language model (LLM). It focuses on text processing and natural language generation. As an open source model, it is available for download, customization, and on-premises deployment. With a context window of 1.0M tokens, it is suitable for processing long documents such as contracts, books, and complete codebases.
DeepSeek V4 Flash is usage-based, priced at $0.14/1M input tokens and $0.28/1M output tokens. For context: 1 million tokens is approximately 750,000 words, or about 10 average-length books. At this aggressive price point, it is one of the most cost-effective options on the market, ideal for high-volume applications like chatbots, bulk document analysis, and automation.
DeepSeek V4 Flash was evaluated on 9 different benchmarks, covering categories like Agentic, Coding, Long Context, overall, Reasoning, Tool Use. Results show exceptional performance across available evaluations.
It's important to note that benchmarks measure specific aspects and don't capture the full user experience. Factors like instruction adherence, behavior in long conversations, and real-world task quality vary significantly between models and aren't always reflected in standard scores.
DeepSeek V4 Flash is suitable for a wide range of AI applications: long document analysis (contracts, legal proceedings, codebases), automation with tool calling (API integration, databases, external systems), high-volume chatbots and automated support, text generation, summarization, translation, and general assistance.
In the 2026 AI model ecosystem, DeepSeek V4 Flash competes directly with similarly capable models. DeepSeek competes in this segment against OpenAI, Anthropic, Google, and Meta. The choice between models depends on the specific use case, budget, latency requirements, and need for features like multimodality and tool calling.
For a detailed side-by-side comparison, use our comparison tool or check the overall model ranking.
DeepSeek V4 Flash is an AI model developed by DeepSeek. It is a language model (LLM), open source.
DeepSeek V4 Flash costs $0.14/1M input tokens and $0.28/1M output tokens. For heavy usage (e.g., a chatbot handling 100k messages/month), costs can range from $10 to $1,000 depending on volume.
In available benchmarks, DeepSeek V4 Flash scored: Terminal-Bench Hard: 39/100, SciCode: 45/100, AA Coding Index: 39.8/100. See the full table above for a detailed comparison.
Yes, DeepSeek V4 Flash is an open source model. You can deploy it on-premises, customize it via fine-tuning, and maintain full control over your data. Check the official repository for the specific license.
DeepSeek V4 Flash excels at general-purpose language tasks. With its large context window, it handles long documents, codebases, and extended conversations. It supports tool calling for API integrations and automation.
Last updated: June 01, 2026 • View methodology →