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DeepSeek-V4-Pro-0813 vs North Micro Vision Instruct

Comparing DeepSeek-V4-Pro-0813 and North Micro Vision Instruct across benchmarks, pricing, and capabilities.

DeepSeek · Cohere · Updated for 2026

Which is better?

DeepSeek-V4-Pro-0813 and North Micro Vision Instruct trade strengths across price, capabilities, and technical limits. The better choice depends on the workload.

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

Choose DeepSeek-V4-Pro-0813

  • you want the most recent training data — it shipped Aug 2026

Choose North Micro Vision Instruct

  • you are already invested in the Cohere ecosystem

At a glance

The differences that matter most.

Benchmark wins
Input price
$0.43 / M
— / M
Output price
$0.87 / M
— / M
Context window
1,048,576
Released
Aug 2026
Aug 2026
License
MIT
Apache 2.0

Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

DeepSeek-V4-Pro-0813 and North Micro Vision Instructdon'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

Model Size

Parameter count comparison

1597.6B diff

DeepSeek-V4-Pro-0813 has 1597.6B more parameters than North Micro Vision Instruct, making it 66566.7% larger.

DeepSeek
DeepSeek-V4-Pro-0813
1.6Tparameters
Cohere
North Micro Vision Instruct
2.4Bparameters
1600.0B
DeepSeek-V4-Pro-0813
2.4B
North Micro Vision Instruct

Context Window

Maximum input and output token capacity

Only DeepSeek-V4-Pro-0813 specifies input context (1,048,576 tokens). Only DeepSeek-V4-Pro-0813 specifies output context (393,216 tokens).

DeepSeek
DeepSeek-V4-Pro-0813
Input1,048,576 tokens
Output393,216 tokens
Cohere
North Micro Vision Instruct
Input- tokens
Output- tokens
Mon Aug 24 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

North Micro Vision Instruct supports multimodal inputs, whereas DeepSeek-V4-Pro-0813 does not.

North Micro Vision Instruct can handle both text and other forms of data like images, making it suitable for multimodal applications.

DeepSeek-V4-Pro-0813

Text
Images
Audio
Video

North Micro Vision Instruct

Text
Images
Audio
Video

License

Usage and distribution terms

DeepSeek-V4-Pro-0813 is licensed under MIT, while North Micro Vision Instruct uses Apache 2.0.

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

DeepSeek-V4-Pro-0813

MIT

Open weights

North Micro Vision Instruct

Apache 2.0

Open weights

Release Timeline

When each model was launched

DeepSeek-V4-Pro-0813 was released on 2026-08-13, while North Micro Vision Instruct was released on 2026-08-12.

DeepSeek-V4-Pro-0813 is 0 month newer than North Micro Vision Instruct.

DeepSeek-V4-Pro-0813

Aug 13, 2026

1 weeks ago

1d newer
North Micro Vision Instruct

Aug 12, 2026

1 weeks 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

Judge for yourself.

Run your own prompts against DeepSeek-V4-Pro-0813 and North Micro Vision Instruct side-by-side, then vote on the output you prefer.

DeepSeek-V4-Pro-0813
✓ Preferred
North Micro Vision Instruct
Open in Playground

FAQ

Common questions about DeepSeek-V4-Pro-0813 vs North Micro Vision Instruct.

Which is better, DeepSeek-V4-Pro-0813 or North Micro Vision Instruct?

DeepSeek-V4-Pro-0813 (DeepSeek) and North Micro Vision Instruct (Cohere) 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-Pro-0813 compare to North Micro Vision Instruct in benchmarks?

DeepSeek-V4-Pro-0813 scores Terminal-Bench 2.1: 87.9%, CyberGym: 83.3%, Toolathlon: 74.1%, DSBench-FullStack: 71.1%, DSBench-Hard: 67.2%. North Micro Vision Instruct scores DocVQA: 92.1%, ChartQA: 80.8%, OCRBench: 79.2%, AI2D: 77.5%, IFEval: 74.9%.

What are the context window sizes for DeepSeek-V4-Pro-0813 and North Micro Vision Instruct?

DeepSeek-V4-Pro-0813 supports 1.0M tokens and North Micro Vision Instruct supports an unknown number of 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-Pro-0813 and North Micro Vision Instruct?

Key differences include multimodal support (no vs yes), licensing (MIT vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

Who makes DeepSeek-V4-Pro-0813 and North Micro Vision Instruct?

DeepSeek-V4-Pro-0813 is developed by DeepSeek and North Micro Vision Instruct is developed by Cohere.