Model Comparison

DeepSeek VL2 vs DeepSeek-V2.5Which is better in 2026?

Comparing DeepSeek VL2 and DeepSeek-V2.5 across benchmarks, pricing, and capabilities.

Verdict: DeepSeek VL2 vs DeepSeek-V2.5 — which is better?

DeepSeek VL2 (by DeepSeek) and DeepSeek-V2.5 (by DeepSeek) are two of the AI models people compare most. Here is how they stack up on benchmarks, price and capabilities, and which one to pick in 2026.

DeepSeek VL2 also accepts a larger context window (129,280 input tokens), making it the stronger choice for long documents and large codebases.

Choose DeepSeek VL2 if…

  • you process long inputs — it offers a 129,280 token context window
  • you want the most recent training data — it shipped Dec 2024

Choose DeepSeek-V2.5 if…

  • you want predictable pricing at $0.14/M input and $0.28/M output

Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

DeepSeek VL2 and DeepSeek-V2.5don't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Arena Performance

Human preference votes

Model Size

Parameter count comparison

209.0B diff

DeepSeek-V2.5 has 209.0B more parameters than DeepSeek VL2, making it 774.1% larger.

DeepSeek
DeepSeek VL2
27.0Bparameters
DeepSeek
DeepSeek-V2.5
236.0Bparameters
27.0B
DeepSeek VL2
236.0B
DeepSeek-V2.5

Context Window

Maximum input and output token capacity

DeepSeek VL2 accepts 129,280 input tokens compared to DeepSeek-V2.5's 8,192 tokens. DeepSeek VL2 can generate longer responses up to 129,280 tokens, while DeepSeek-V2.5 is limited to 8,192 tokens.

DeepSeek
DeepSeek VL2
Input129,280 tokens
Output129,280 tokens
DeepSeek
DeepSeek-V2.5
Input8,192 tokens
Output8,192 tokens
Fri Jul 10 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

DeepSeek VL2 supports multimodal inputs, whereas DeepSeek-V2.5 does not.

DeepSeek VL2 can handle both text and other forms of data like images, making it suitable for multimodal applications.

DeepSeek VL2

Text
Images
Audio
Video

DeepSeek-V2.5

Text
Images
Audio
Video

License

Usage and distribution terms

Both models are licensed under deepseek.

Both models share the same licensing terms, providing consistent usage rights.

DeepSeek VL2

deepseek

Open weights

DeepSeek-V2.5

deepseek

Open weights

Release Timeline

When each model was launched

DeepSeek VL2 was released on 2024-12-13, while DeepSeek-V2.5 was released on 2024-05-08.

DeepSeek VL2 is 7 months newer than DeepSeek-V2.5.

DeepSeek VL2

Dec 13, 2024

1.6 years ago

7mo newer
DeepSeek-V2.5

May 8, 2024

2.2 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 VL2 is available from Replicate. DeepSeek-V2.5 is available from DeepSeek, DeepInfra, Hyperbolic.

DeepSeek VL2

replicate logo
Replicate

DeepSeek-V2.5

deepseek logo
DeepSeek
Input Price:Input: $0.14/1MOutput Price:Output: $0.28/1M
deepinfra logo
Deepinfra
Input Price:Input: $0.70/1MOutput Price:Output: $1.40/1M
hyperbolic logo
Hyperbolic
Input Price:Input: $2.00/1MOutput Price:Output: $2.00/1M
* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion

Key Takeaways

Larger context window (129,280 tokens)
Supports multimodal inputs

No standout differentiators in the data we have for this pair.

Detailed Comparison

Interactive Arena

Judge for yourself.

Run your own prompts against DeepSeek VL2 and DeepSeek-V2.5 side-by-side, then vote on the output you prefer.

DeepSeek VL2
✓ Preferred
DeepSeek-V2.5
Open in Playground
AI Model Comparison Table
Feature
DeepSeek
DeepSeek VL2
DeepSeek
DeepSeek-V2.5

FAQ

Common questions about DeepSeek VL2 vs DeepSeek-V2.5.

Which is better, DeepSeek VL2 or DeepSeek-V2.5?

DeepSeek VL2 (DeepSeek) and DeepSeek-V2.5 (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 VL2 compare to DeepSeek-V2.5 in benchmarks?

DeepSeek VL2 scores DocVQA: 93.3%, ChartQA: 86.0%, TextVQA: 84.2%, AI2D: 81.4%, OCRBench: 81.1%. DeepSeek-V2.5 scores GSM8k: 95.1%, MT-Bench: 90.2%, HumanEval: 89.0%, BBH: 84.3%, AlignBench: 80.4%.

What are the context window sizes for DeepSeek VL2 and DeepSeek-V2.5?

DeepSeek VL2 supports 129K tokens and DeepSeek-V2.5 supports 8K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between DeepSeek VL2 and DeepSeek-V2.5?

Key differences include context window (129K vs 8K), multimodal support (yes vs no). See the full comparison above for benchmark-by-benchmark results.