DeepSeek-V4-Flash-Vision-Exp

B.AI model routing

B.AI will progressively route requests made using the DeepSeek-V4-Flash, DeepSeek-V4-Flash-Vision-Exp, and DeepSeek-V4-Pro model names to DeepSeek-V4.1-Flash. After routing takes effect, these requests are billed at the applicable DeepSeek-V4.1-Flash price.

DeepSeek-V4-Flash-Vision-Exp

The DeepSeek-V4-Flash-Vision-Exp 50% offer takes effect at 17:00 on September 3, 2026 (UTC+8).

From the effective time, eligible deepseek-v4-flash-vision-exp API usage is billed at 50% of the standard price for the applicable Idle or Busy period. The discounted price changes in step with DeepSeek's time-based pricing 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.

Limited-Time API Discount50% of Standard Price

Overview

DeepSeek-V4-Flash-Vision-Exp is DeepSeek's first experimental multimodal model in the DeepSeek-V4 family, released on August 21, 2026. It extends DeepSeek-V4-Flash with visual modules and continued training for image understanding while retaining comparable text-only agent performance in DeepSeek's evaluations.

Key Features

• Native Image Understanding: Accepts interleaved text and image input in JPEG, PNG, GIF, and WebP formats for screenshot reading, chart analysis, visual question answering, and other image-grounded tasks.
• Multimodal Agent Evaluation: DeepSeek reports 36.5 on ApexBench (Pass@1), 64.3 on Chartography, and 35.0 on ZeroBench (Pass@5), indicating stronger visually grounded agent performance than the text-only DeepSeek-V4-Flash-0731 baseline in its published evaluation.
• Text-Agent Continuity: DeepSeek reports text-only capabilities comparable to DeepSeek-V4-Flash, including 83.9 on Terminal-Bench 2.1, 59.3 on DeepSWE, and 75.9 on Toolathlon-Verified.
• Long-Context Reasoning: The hosted API provides a 1M-token context window, up to 384K output tokens, optional thinking, and low, high, or max reasoning effort.
• Agent-Oriented API Support: Supports tool calls, JSON output, context caching, Chat Prefix Completion, and OpenAI-compatible Chat Completions and Responses interfaces, as well as an Anthropic-compatible Messages interface.
• Open-Weight Reference Release: The official MIT-licensed repository lists a 305B-parameter checkpoint and includes reference code for the vision encoder and aligner, DFlash attention, mixture-of-experts layers, Hyper-Connections, and the DSpark forward path.

Best Use Cases

• Visual Software Agents: Inspecting screenshots, rendered interfaces, dashboards, or canvas state while using tools to modify code or other artifacts.
• Document and Chart Analysis: Reading text from screenshots, interpreting charts, and answering questions grounded in visual business or technical material.
• Multimodal Tool Workflows: Processing images returned by tools through the Responses API and combining visual evidence with multi-step reasoning and function calls.
• Large Visual Review Batches: Handling many images in one request when applications need consistent analysis across collections of screenshots, pages, or frames.
• Open-Weight Evaluation: Testing DeepSeek's experimental V4 vision architecture in controlled self-hosted research environments where the large checkpoint and reference-runtime requirements are acceptable.

Capabilities and Limitations

Capability	Description
Reasoning	Supports thinking and non-thinking modes; thinking is enabled by default at high effort. The primary effort levels are low, high, and max; compatible medium and xhigh requests map to high.
Coding and Agents	DeepSeek reports Terminal-Bench 2.1: 83.9, DeepSWE: 59.3, and Toolathlon-Verified: 75.9. These are provider-run evaluations using DeepSeek Harness minimal mode, max effort, temperature = 1.0, and top_p = 0.95.
Tool Use	Supports function calling in thinking and non-thinking modes, JSON output, context caching, and image-bearing tool outputs through the Responses API.
Multimodal	Accepts text and image input and produces text output. Each image is resized before inference and uses at most 384 input tokens; the API accepts up to 600 images per request within its size limits.
Context Window	1M tokens.
Max Output	384K tokens.

Known Limitations

• Image placement is interface-dependent: Chat Completions accepts images in user messages, while the Responses API also accepts them in developer messages and supported tool outputs. Images in system or assistant messages are rejected.
• The documented multimodal route accepts images but does not document audio or video input, image generation, or other non-text output.
• FIM Completion is not supported. Chat Prefix Completion remains a beta feature.
• In thinking mode, temperature, top_p, presence_penalty, and frequency_penalty have no effect. Tool-calling conversations must pass the full prior reasoning_content back on subsequent requests.
• DeepSeek does not publish a model-specific knowledge cutoff or a complete supported-language list.

Pricing

Billing Period	Input (Credits/Token)	Cache Write (Credits/Token)	Cache Read (Credits/Token)	Output (Credits/Token)
Idle	0.15	0.15	0.003	0.60
Busy	0.30	0.30	0.006	1.20

The standard reference prices above take effect at 12:00 on September 10, 2026 (Beijing Time, UTC+8).

API calls use UTC+8. Busy periods are 09:00-12:00 and 14:00-18:00, Monday through Friday; all other times, including weekends, are Idle periods.

Images are converted to input tokens according to their dimensions and billed together with text input; each image uses at most 384 tokens after resizing.