Model Comparison

DeepSeek VL2 vs Ministral 8B InstructWhich is better in 2026?

Comparing DeepSeek VL2 and Ministral 8B Instruct across benchmarks, pricing, and capabilities.

Verdict: DeepSeek VL2 vs Ministral 8B Instruct — which is better?

DeepSeek VL2 (by DeepSeek) and Ministral 8B Instruct (by Mistral AI) 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 Ministral 8B Instruct if…

  • you want predictable pricing at $0.10/M input and $0.10/M output

Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

DeepSeek VL2 and Ministral 8B Instructdon'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

19.0B diff

DeepSeek VL2 has 19.0B more parameters than Ministral 8B Instruct, making it 236.7% larger.

DeepSeek
DeepSeek VL2
27.0Bparameters
Mistral AI
Ministral 8B Instruct
8.0Bparameters
27.0B
DeepSeek VL2
8.0B
Ministral 8B Instruct

Context Window

Maximum input and output token capacity

DeepSeek VL2 accepts 129,280 input tokens compared to Ministral 8B Instruct's 128,000 tokens. DeepSeek VL2 can generate longer responses up to 129,280 tokens, while Ministral 8B Instruct is limited to 128,000 tokens.

DeepSeek
DeepSeek VL2
Input129,280 tokens
Output129,280 tokens
Mistral AI
Ministral 8B Instruct
Input128,000 tokens
Output128,000 tokens
Mon Jun 15 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

DeepSeek VL2 supports multimodal inputs, whereas Ministral 8B Instruct 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

Ministral 8B Instruct

Text
Images
Audio
Video

License

Usage and distribution terms

DeepSeek VL2 is licensed under deepseek, while Ministral 8B Instruct uses Mistral Research License.

License differences may affect how you can use these models in commercial or open-source projects.

DeepSeek VL2

deepseek

Open weights

Ministral 8B Instruct

Mistral Research License

Open weights

Release Timeline

When each model was launched

DeepSeek VL2 was released on 2024-12-13, while Ministral 8B Instruct was released on 2024-10-16.

DeepSeek VL2 is 2 months newer than Ministral 8B Instruct.

DeepSeek VL2

Dec 13, 2024

1.5 years ago

1mo newer
Ministral 8B Instruct

Oct 16, 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 VL2 is available from Replicate. Ministral 8B Instruct is available from Mistral AI.

DeepSeek VL2

replicate logo
Replicate

Ministral 8B Instruct

mistral logo
Mistral
Input Price:Input: $0.10/1MOutput Price:Output: $0.10/1M
* 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

AI Model Comparison Table
Feature
DeepSeek
DeepSeek VL2
Mistral AI
Ministral 8B Instruct

FAQ

Common questions about DeepSeek VL2 vs Ministral 8B Instruct.

Which is better, DeepSeek VL2 or Ministral 8B Instruct?

DeepSeek VL2 (DeepSeek) and Ministral 8B Instruct (Mistral AI) 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 Ministral 8B Instruct in benchmarks?

DeepSeek VL2 scores DocVQA: 93.3%, ChartQA: 86.0%, TextVQA: 84.2%, AI2D: 81.4%, OCRBench: 81.1%. Ministral 8B Instruct scores MT-Bench: 83.0%, Winogrande: 75.3%, ARC-C: 71.9%, Arena Hard: 70.9%, MBPP pass@1: 70.0%.

What are the context window sizes for DeepSeek VL2 and Ministral 8B Instruct?

DeepSeek VL2 supports 129K tokens and Ministral 8B Instruct supports 128K 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 Ministral 8B Instruct?

Key differences include context window (129K vs 128K), multimodal support (yes vs no), licensing (deepseek vs Mistral Research License). See the full comparison above for benchmark-by-benchmark results.

Who makes DeepSeek VL2 and Ministral 8B Instruct?

DeepSeek VL2 is developed by DeepSeek and Ministral 8B Instruct is developed by Mistral AI.