Specifications
Context Window
—
Input Price/1M
$0.14
Output Price/1M
$0.28
Parameters
—
Speed
124 tok/s
Latency (TTFT)
1.3s
Benchmarks
DeepSeek-V4-Flash results on the main AI model evaluation benchmarks. Higher scores indicate better performance.
Agentic
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| Terminal-Bench Hard | 34.0 | 100.0 | — |
Coding
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| LiveBench Coding | 69.2 | 100.0 | Contamination-free benchmark with objective ground-truth answers |
| AA Coding Index | 56.2 | 100.0 | Artificial Analysis official API |
| SciCode | 50.0 | 100.0 | — |
Data Analysis
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| LiveBench Data Analysis | 68.0 | 100.0 | Contamination-free benchmark with objective ground-truth answers |
Language
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| LiveBench Language | 70.1 | 100.0 | Contamination-free benchmark with objective ground-truth answers |
Long Context
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| AA-LCR | 66.0 | 100.0 | — |
Math
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| LiveBench Math | 79.7 | 100.0 | Contamination-free benchmark with objective ground-truth answers |
overall
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| LiveBench Global | 67.3 | 100.0 | Contamination-free benchmark with objective ground-truth answers |
| AA Intelligence Index | 42.1 | 100.0 | Artificial Analysis official API |
Reasoning
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| GPQA Diamond | 89.4 | 100.0 | Artificial Analysis official API |
| LiveBench Reasoning | 70.6 | 100.0 | Contamination-free benchmark with objective ground-truth answers |
| IFBench | 47.0 | 100.0 | — |
| HLE | 37.0 | 100.0 | — |
Tool Use
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| Tau²-Bench | 94.0 | 100.0 | — |
Information
- Release date
- July 31, 2026
- Tool Calling
- ❌ Not supported
- Vision
- ❌ Not supported
- Audio
- ❌ Not supported
Full Analysis: DeepSeek-V4-Flash
What is DeepSeek-V4-Flash?
DeepSeek-V4-Flash is an AI model developed by DeepSeek, classified as a codigo model. It focuses on text processing and natural language generation. As a proprietary model, it is available via DeepSeek's cloud API.
Pricing & Costs in 2026
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.
Benchmarks & Performance
DeepSeek-V4-Flash was evaluated on 15 different benchmarks, covering categories like Agentic, Coding, Data Analysis, Language, Long Context, Math, 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.
Recommended Use Cases
DeepSeek-V4-Flash specializes in codigo, offering advanced capabilities for creating and processing codigo content.
Comparison with Alternatives
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.
Frequently Asked Questions
What is DeepSeek-V4-Flash?
DeepSeek-V4-Flash is an AI model developed by DeepSeek. It is a codigo model.
How much does DeepSeek-V4-Flash cost?
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.
How does DeepSeek-V4-Flash compare with other models?
In available benchmarks, DeepSeek-V4-Flash scored: Terminal-Bench Hard: 34/100, LiveBench Coding: 69.23/100, AA Coding Index: 56.2/100. See the full table above for a detailed comparison.
Is DeepSeek-V4-Flash open source?
No, DeepSeek-V4-Flash is a proprietary model from DeepSeek. It is available via cloud API. For open source alternatives, check our open source model ranking.
What is DeepSeek-V4-Flash best for?
DeepSeek-V4-Flash excels at general-purpose language tasks.
Last updated: August 10, 2026 • View methodology →