DeepSeek

DeepSeek V4 Flash Vision Exp

deepseek/deepseek-v4-flash-vision-exp
Model weightsReleased Aug 21, 2026Open Weights
ThinkingToolsVisionopen weights

DeepSeek V4 Flash Vision Exp is an experimental vision-enabled version of DeepSeek V4 Flash 0731 from DeepSeek, adding image understanding while matching the base model on text capabilities including agents,...

Cost / 1M tokens

Low usage

$0.216

input

$0.0069

cached input

$0.647

output

Context Window

1M

Up to 262K max output

Modalities

text, image → text

DeepSeek tokenizer

Quickstart & API

deepseek/deepseek-v4-flash-vision-exp
Open the model picker in ChatOSS Desktop (Code, Kanban, or Chat) and select or paste this model ID.

Best for & Strengths

Key Strengths

Open weightsExtended reasoningTool & agent callingMultimodal vision

Recommended Workloads in ChatOSS

  • Coding agents
  • Complex reasoning & debugging
  • Screenshot-to-code workflows
Available in ChatOSS Code, Kanban Orchestrate, and Chat modes via Plus, Max, or BYOK.

Verified Evaluations

Benchmarks & Frontier Comparison

How DeepSeek V4 Flash Vision Exp compares against leading open-weight and proprietary frontier models across independent agentic coding and reasoning suites.

View full Top 40 Leaderboard →
Benchmark (Metric)DeepSeek V4 Flash Vision ExpDeepSeek V4.1 FlashGLM 5.3Kimi K3.1 ProClaude Opus 5.5
Agentic & Software Engineering
ChatOSS Agentic Coding Index (%)—63.2%58.3%65%74.1%
SWE-Bench Verified (%)—91.5%95.4%94.8%97%
DeepSWE v1.1 (Pass@1 %)—77%69%73.5%74.2%
Vibe Code Bench v1.1 (%)—87.7%78.1%88.4%90.3%
Terminal-Bench 4.0 (%)—42.3%42%46.2%65.2%
Code Migration (%)—45.6%44.2%52%66.7%
Intelligence & Token Economics
Artificial Analysis Intelligence Index (0–100)34.839.544.855.157.6
Input Price (/ 1M tokens)$0.216$0.15$1.40$2.00$4.00
Output Price (/ 1M tokens)$0.647$0.60$4.40$10.00$20.00

Artificial Analysis Intelligence Index

Artificial Analysis

34.8

Active Provider Endpoints (3)

Upstream inference providers serving DeepSeek V4 Flash Vision Exp, with per-provider pricing, context limits, quantization, and 24-hour uptime.

ProviderInput / 1MOutput / 1MCache Read / 1MContextMax OutputQuantizationUptime (24h)
DeepInfracache
deepinfra/fp8
$0.216$0.647$0.00691M262Kfp8100.0%
GMICloudcache
gmicloud/fp8
$0.44$1.32$0.0141M944Kfp8100.0%
SiliconFlowcache
siliconflow/fp8
$0.44$1.32$0.0281M393Kfp8100.0%

Supported API Parameters

Parameters accepted by this model when called through ChatOSS or OpenRouter.

frequency_penaltyinclude_reasoninglogit_biaslogprobsmax_tokensmin_ppresence_penaltyreasoningreasoning_effortrepetition_penaltyresponse_formatseedstopstructured_outputstemperaturetool_choicetoolstop_ktop_logprobstop_p

Compare Similar Models

Browse all models →