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DeepSeek-V4-Flash-Vision-Exp vs DeepSeek VL2

Comparing DeepSeek-V4-Flash-Vision-Exp and DeepSeek VL2 across benchmarks, pricing, and capabilities.

DeepSeek · DeepSeek · Updated for 2026

Which is better?

DeepSeek-V4-Flash-Vision-Exp and DeepSeek VL2 trade strengths across price, capabilities, and technical limits. The better choice depends on the workload.

DeepSeek-V4-Flash-Vision-Exp also accepts a larger context window (1,048,576 input tokens), making it the stronger choice for long documents and large codebases.

Based on current benchmark, pricing, and model metadata for 2026.

Choose DeepSeek-V4-Flash-Vision-Exp

  • you process long inputs — it offers a 1,048,576 token context window
  • you want the most recent training data — it shipped Aug 2026

Choose DeepSeek VL2

  • you need open weights you can self-host or fine-tune

At a glance

The differences that matter most.

Benchmark wins
Input price
$0.22 / M
— / M
Output price
$0.66 / M
— / M
Context window
1,048,576
129,280
Released
Aug 2026
Dec 2024
License
Unknown
deepseek

Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

DeepSeek-V4-Flash-Vision-Exp and DeepSeek VL2don't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Arena Performance

Playground indexes and blind preference scores

Context Window

Maximum input and output token capacity

DeepSeek-V4-Flash-Vision-Exp accepts 1,048,576 input tokens compared to DeepSeek VL2's 129,280 tokens. DeepSeek-V4-Flash-Vision-Exp can generate longer responses up to 393,216 tokens, while DeepSeek VL2 is limited to 129,280 tokens.

DeepSeek
DeepSeek-V4-Flash-Vision-Exp
Input1,048,576 tokens
Output393,216 tokens
DeepSeek
DeepSeek VL2
Input129,280 tokens
Output129,280 tokens
Mon Aug 24 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Both DeepSeek-V4-Flash-Vision-Exp and DeepSeek VL2 support multimodal inputs.

They are both capable of processing various types of data, offering versatility in application.

DeepSeek-V4-Flash-Vision-Exp

Text
Images
Audio
Video

DeepSeek VL2

Text
Images
Audio
Video

Release Timeline

When each model was launched

DeepSeek-V4-Flash-Vision-Exp was released on 2026-08-21, while DeepSeek VL2 was released on 2024-12-13.

DeepSeek-V4-Flash-Vision-Exp is 21 months newer than DeepSeek VL2.

DeepSeek-V4-Flash-Vision-Exp

Aug 21, 2026

3 days ago

1.7yr newer
DeepSeek VL2

Dec 13, 2024

1.7 years ago

Knowledge Cutoff

When training data ends

Neither model specifies a knowledge cutoff date.

Unable to compare the recency of their training data.

No cutoff dates available

Provider Availability

DeepSeek-V4-Flash-Vision-Exp is available from DeepSeek. DeepSeek VL2 is available from Replicate.

DeepSeek-V4-Flash-Vision-Exp

deepseek logo
DeepSeek
Input Price:Input: $0.22/1MOutput Price:Output: $0.66/1M

DeepSeek VL2

replicate logo
Replicate
* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion

Judge for yourself.

Run your own prompts against DeepSeek-V4-Flash-Vision-Exp and DeepSeek VL2 side-by-side, then vote on the output you prefer.

DeepSeek-V4-Flash-Vision-Exp
✓ Preferred
DeepSeek VL2
Open in Playground

FAQ

Common questions about DeepSeek-V4-Flash-Vision-Exp vs DeepSeek VL2.

Which is better, DeepSeek-V4-Flash-Vision-Exp or DeepSeek VL2?

DeepSeek-V4-Flash-Vision-Exp (DeepSeek) and DeepSeek VL2 (DeepSeek) each have strengths in different areas. Compare their benchmark scores, pricing, context windows, and capabilities above to determine which fits your needs.

How does DeepSeek-V4-Flash-Vision-Exp compare to DeepSeek VL2 in benchmarks?

DeepSeek-V4-Flash-Vision-Exp scores Terminal-Bench 2.1: 83.9%, DSBench-Hard: 63.6%, DeepSWE: 59.3%, NL2Repo: 57.7%, ZEROBench: 35.0%. DeepSeek VL2 scores DocVQA: 93.3%, ChartQA: 86.0%, TextVQA: 84.2%, AI2D: 81.4%, OCRBench: 81.1%.

What are the context window sizes for DeepSeek-V4-Flash-Vision-Exp and DeepSeek VL2?

DeepSeek-V4-Flash-Vision-Exp supports 1.0M tokens and DeepSeek VL2 supports 129K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between DeepSeek-V4-Flash-Vision-Exp and DeepSeek VL2?

Key differences include context window (1.0M vs 129K), licensing (Unknown vs deepseek). See the full comparison above for benchmark-by-benchmark results.