DeepSeek

DeepSeek V4 Flash Vision Exp

Tool callingStructured outputReasoningImage input
DeepSeek V4 Flash Vision Exp model card cover

Experimental multimodal DeepSeek V4 Flash model for image understanding, coding, and agentic work

Context
1.0M
Released
1mo ago
Parameters
—
Input / 1M tokens
$0.22
Output / 1M tokens
$0.65
Cached input / 1M tokens
$0.00686

Sources:models.devOpenRouter

Benchmarks

DeepSWE is the primary coding benchmark where an exact model evaluation exists. Other sourced evaluations appear below; missing scores are not zero.

Not evaluated in DeepSWE 1.1 as of 2026-09-22. Results are only shown for exact model versions in the official dataset. Official leaderboard.

No benchmark results have been matched to this model yet.

Specifications

Developer
DeepSeek
Model family
DeepSeek
Type
Language model
Predecessor
—
Successor
—
Released
August 21, 2026
Model ID
deepseek/deepseek-v4-flash-vision-exp
Openness
Open weights
License
MIT
Parameters
—
Input modalities
text, image
Output modalities
text
Modality
text+image->text
Tokenizer
DeepSeek
Max output tokens
262K
Source freshness
Metadata synced Oct 8, 2026, 10:17 PM UTC
Additional source evidence
Source model
deepseek/deepseek-v4-flash-vision-exp
Source family
deepseek-flash
Last updated
2026-09-01
Model context
1M
Model output limit
384K
Open weights
Yes
File attachments
Yes
Reasoning
Yes
Tool calling
Yes
Structured output
Yes
Temperature control
Yes

Downloadable weights

Published benchmarks

BenchmarkScoreEvaluation detailsEvidence
Terminal-Bench83.9 · scoreDeepSeek Harness minimal mode · max effort · 2.1Source
NL2Repo57.7 · scoreDeepSeek Harness minimal mode · max effortSource
CyberGym75.3 · scoreDeepSeek Harness minimal mode · max effortSource
DeepSWE59.3 · scoreDeepSeek Harness minimal mode · max effortSource
Toolathlon-Verified75.9 · scoreDeepSeek Harness minimal mode · max effortSource
DSBench-Hard63.6 · scoreDeepSeek Harness minimal mode · internal · max effortSource
AutomationBench25.7 · scoreDeepSeek Harness minimal mode · public · max effortSource
ApexBench36.5 · pass@1—Source
Agents' Last Exam27.3 · score—Source
Chartography64.3 · score—Source
ZeroBench35 · pass@5—Source
Complete source record (JSON)
{
  "id": "deepseek/deepseek-v4-flash-vision-exp",
  "name": "DeepSeek V4 Flash Vision Exp",
  "description": "Experimental multimodal DeepSeek V4 Flash model for image understanding, coding, and agentic work",
  "family": "deepseek-flash",
  "last_updated": "2026-09-01",
  "attachment": true,
  "reasoning": true,
  "tool_call": true,
  "structured_output": true,
  "temperature": true,
  "modalities": {
    "input": [
      "text",
      "image"
    ],
    "output": [
      "text"
    ]
  },
  "limit": {
    "context": 1000000,
    "output": 384000
  },
  "benchmarks": [
    {
      "name": "Terminal-Bench",
      "score": 83.9,
      "source": "https://huggingface.co/deepseek-ai/DeepSeek-V4-Flash-Vision-Exp",
      "metric": "score",
      "harness": "DeepSeek Harness minimal mode",
      "variant": "max effort",
      "version": "2.1"
    },
    {
      "name": "NL2Repo",
      "score": 57.7,
      "source": "https://huggingface.co/deepseek-ai/DeepSeek-V4-Flash-Vision-Exp",
      "metric": "score",
      "harness": "DeepSeek Harness minimal mode",
      "variant": "max effort"
    },
    {
      "name": "CyberGym",
      "score": 75.3,
      "source": "https://huggingface.co/deepseek-ai/DeepSeek-V4-Flash-Vision-Exp",
      "metric": "score",
      "harness": "DeepSeek Harness minimal mode",
      "variant": "max effort"
    },
    {
      "name": "DeepSWE",
      "score": 59.3,
      "source": "https://huggingface.co/deepseek-ai/DeepSeek-V4-Flash-Vision-Exp",
      "metric": "score",
      "harness": "DeepSeek Harness minimal mode",
      "variant": "max effort"
    },
    {
      "name": "Toolathlon-Verified",
      "score": 75.9,
      "source": "https://huggingface.co/deepseek-ai/DeepSeek-V4-Flash-Vision-Exp",
      "metric": "score",
      "harness": "DeepSeek Harness minimal mode",
      "variant": "max effort"
    },
    {
      "name": "DSBench-Hard",
      "score": 63.6,
      "source": "https://huggingface.co/deepseek-ai/DeepSeek-V4-Flash-Vision-Exp",
      "metric": "score",
      "harness": "DeepSeek Harness minimal mode",
      "variant": "max effort",
      "dataset": "internal"
    },
    {
      "name": "AutomationBench",
      "score": 25.7,
      "source": "https://huggingface.co/deepseek-ai/DeepSeek-V4-Flash-Vision-Exp",
      "metric": "score",
      "harness": "DeepSeek Harness minimal mode",
      "variant": "max effort",
      "dataset": "public"
    },
    {
      "name": "ApexBench",
      "score": 36.5,
      "source": "https://huggingface.co/deepseek-ai/DeepSeek-V4-Flash-Vision-Exp",
      "metric": "pass@1"
    },
    {
      "name": "Agents' Last Exam",
      "score": 27.3,
      "source": "https://huggingface.co/deepseek-ai/DeepSeek-V4-Flash-Vision-Exp",
      "metric": "score"
    },
    {
      "name": "Chartography",
      "score": 64.3,
      "source": "https://huggingface.co/deepseek-ai/DeepSeek-V4-Flash-Vision-Exp",
      "metric": "score"
    },
    {
      "name": "ZeroBench",
      "score": 35,
      "source": "https://huggingface.co/deepseek-ai/DeepSeek-V4-Flash-Vision-Exp",
      "metric": "pass@5"
    }
  ],
  "release_date": "2026-08-21",
  "open_weights": true,
  "license": "MIT",
  "weights": [
    {
      "label": "Hugging Face",
      "url": "https://huggingface.co/deepseek-ai/DeepSeek-V4-Flash-Vision-Exp"
    }
  ]
}

Infrastructure

Provider availability

All providers
ProviderEndpointContextInput /M tokensOutput /M tokensCached input /M tokensCache write /M tokensUptime 1dData handling
DeepInfradeepinfra/fp81.0M$0.22$0.65$0.00686—100.00%
ZDR: Yes

Training: Unknown

Prompt logging: Unknown

Retention: Unknown

Checked 2026-10-15

GMICloudgmicloud/fp81.0M$0.44$1.32$0.01—100.00%
ZDR: No

Training: Unknown

Prompt logging: Unknown

Retention: Unknown

Checked 2026-10-15

SiliconFlowsiliconflow/fp81.0M$0.44$1.32$0.03—98.73%
ZDR: Yes

Training: Unknown

Prompt logging: Unknown

Retention: Unknown

Checked 2026-10-15

Provider data:OpenRouter

Deployment graph

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