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DeepSeek-V3 vs Parse

Comparing DeepSeek-V3 and Parse across benchmarks, pricing, and capabilities.

DeepSeek · Cohere · Updated for 2026

Which is better?

DeepSeek-V3 and Parse trade strengths across price, capabilities, and technical limits. The better choice depends on the workload.

DeepSeek-V3 also accepts a larger context window (131,072 input tokens), making it the stronger choice for long documents and large codebases.

Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.

Choose DeepSeek-V3

  • you process long inputs — it offers a 131,072 token context window
  • you need open weights you can self-host or fine-tune

Choose Parse

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

At a glance

The differences that matter most.

Benchmark wins
Input price
$0.27 / M
— / M
Output price
$1.10 / M
— / M
Context window
131,072
8,192

Individual benchmarks

20 reported for DeepSeek-V3 · 1 for Parse

No common benchmarks found

DeepSeek-V3 and Parsedon't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Human preference

Blind head-to-head votes and playground preference scores

Model Size

Parameter count comparison

668.7B diff

DeepSeek-V3 has 668.7B more parameters than Parse, making it 29073.9% larger.

DeepSeek
DeepSeek-V3
671.0Bparameters
Cohere
Parse
2.3Bparameters
671.0B
DeepSeek-V3
2.3B
Parse

Context Window

Maximum input and output token capacity

DeepSeek-V3 accepts 131,072 input tokens compared to Parse's 8,192 tokens. Only DeepSeek-V3 specifies output context (131,072 tokens).

DeepSeek
DeepSeek-V3
Input131,072 tokens
Output131,072 tokens
Cohere
Parse
Input8,192 tokens
Output- tokens
Mon Aug 31 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Parse supports multimodal inputs, whereas DeepSeek-V3 does not.

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

DeepSeek-V3

Text
Images
Audio
Video

Parse

Text
Images
Audio
Video

License

Usage and distribution terms

DeepSeek-V3 is licensed under MIT + Model License (Commercial use allowed), while Parse uses a proprietary license.

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

DeepSeek-V3

MIT + Model License (Commercial use allowed)

Open weights

Parse

Proprietary

Closed source

Release Timeline

When each model was launched

DeepSeek-V3 was released on 2024-12-25, while Parse was released on 2026-08-27.

Parse is 20 months newer than DeepSeek-V3.

DeepSeek-V3

Dec 25, 2024

1.7 years ago

Parse

Aug 27, 2026

4 days ago

1.7yr newer

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-V3 is available from DeepSeek. Parse is available from Azure, Cohere.

DeepSeek-V3

deepseek logo
DeepSeek
Input Price:Input: $0.27/1MOutput Price:Output: $1.10/1M

Parse

azure logo
Azure
cohere logo
Cohere
* 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-V3 and Parse side-by-side, then vote on the output you prefer.

DeepSeek-V3
✓ Preferred
Parse
Open in Playground

FAQ

Common questions about DeepSeek-V3 vs Parse.

Which is better, DeepSeek-V3 or Parse?

DeepSeek-V3 (DeepSeek) and Parse (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-V3 compare to Parse in benchmarks?

DeepSeek-V3 scores DROP: 91.6%, CLUEWSC: 90.9%, MATH-500: 90.2%, MMLU-Redux: 89.1%, MMLU: 88.5%. Parse scores ParseBench: 79.2%.

What are the context window sizes for DeepSeek-V3 and Parse?

DeepSeek-V3 supports 131K tokens and Parse 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-V3 and Parse?

Key differences include context window (131K vs 8K), multimodal support (no vs yes), licensing (MIT + Model License (Commercial use allowed) vs Proprietary). See the full comparison above for benchmark-by-benchmark results.

Who makes DeepSeek-V3 and Parse?

DeepSeek-V3 is developed by DeepSeek and Parse is developed by Cohere.