Model Comparison

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

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

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

DeepSeek VL2 Tiny (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.

Choose DeepSeek VL2 Tiny if…

  • 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
Want to compare interactively?Try the playground

Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

DeepSeek VL2 Tiny 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

233.0B diff

DeepSeek-V2.5 has 233.0B more parameters than DeepSeek VL2 Tiny, making it 7766.7% larger.

DeepSeek
DeepSeek VL2 Tiny
3.0Bparameters
DeepSeek
DeepSeek-V2.5
236.0Bparameters
3.0B
DeepSeek VL2 Tiny
236.0B
DeepSeek-V2.5

Context Window

Maximum input and output token capacity

Only DeepSeek-V2.5 specifies input context (8,192 tokens). Only DeepSeek-V2.5 specifies output context (8,192 tokens).

DeepSeek
DeepSeek VL2 Tiny
Input- tokens
Output- tokens
DeepSeek
DeepSeek-V2.5
Input8,192 tokens
Output8,192 tokens
Sat Jun 13 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

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

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

DeepSeek VL2 Tiny

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 Tiny

deepseek

Open weights

DeepSeek-V2.5

deepseek

Open weights

Release Timeline

When each model was launched

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

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

DeepSeek VL2 Tiny

Dec 13, 2024

1.5 years ago

7mo newer
DeepSeek-V2.5

May 8, 2024

2.1 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

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Key Takeaways

DeepSeek
Supports multimodal inputs
DeepSeek
Larger context window (8,192 tokens)

Detailed Comparison

AI Model Comparison Table
Feature
DeepSeek
DeepSeek VL2 Tiny
DeepSeek
DeepSeek-V2.5

FAQ

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

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

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

DeepSeek VL2 Tiny scores DocVQA: 88.9%, ChartQA: 81.0%, OCRBench: 80.9%, TextVQA: 80.7%, AI2D: 71.6%. 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 Tiny and DeepSeek-V2.5?

DeepSeek VL2 Tiny supports an unknown number of 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 Tiny and DeepSeek-V2.5?

Key differences include multimodal support (yes vs no). See the full comparison above for benchmark-by-benchmark results.

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