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DeepSeek-V3 0324 vs Parse

Comparing DeepSeek-V3 0324 and Parse across benchmarks, pricing, and capabilities.

DeepSeek · Cohere · Updated for 2026

Which is better?

DeepSeek-V3 0324 and Parse trade strengths across price, capabilities, and technical limits. The better choice depends on the workload.

DeepSeek-V3 0324 also accepts a larger context window (163,840 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 0324

  • you process long inputs — it offers a 163,840 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
$0.28 / M
— / M
Output price
$1.14 / M
— / M
Context window
163,840
8,192

Individual benchmarks

5 reported for DeepSeek-V3 0324 · 1 for Parse

No common benchmarks found

DeepSeek-V3 0324 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 0324 has 668.7B more parameters than Parse, making it 29073.9% larger.

DeepSeek
DeepSeek-V3 0324
671.0Bparameters
Cohere
Parse
2.3Bparameters
671.0B
DeepSeek-V3 0324
2.3B
Parse

Context Window

Maximum input and output token capacity

DeepSeek-V3 0324 accepts 163,840 input tokens compared to Parse's 8,192 tokens. Only DeepSeek-V3 0324 specifies output context (163,840 tokens).

DeepSeek
DeepSeek-V3 0324
Input163,840 tokens
Output163,840 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 0324 does not.

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

DeepSeek-V3 0324

Text
Images
Audio
Video

Parse

Text
Images
Audio
Video

License

Usage and distribution terms

DeepSeek-V3 0324 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 0324

MIT + Model License (Commercial use allowed)

Open weights

Parse

Proprietary

Closed source

Release Timeline

When each model was launched

DeepSeek-V3 0324 was released on 2025-03-25, while Parse was released on 2026-08-27.

Parse is 17 months newer than DeepSeek-V3 0324.

DeepSeek-V3 0324

Mar 25, 2025

1.4 years ago

Parse

Aug 27, 2026

3 days ago

1.4yr 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 0324 is available from Novita. Parse is available from Azure, Cohere.

DeepSeek-V3 0324

novita logo
Novita
Input Price:Input: $0.28/1MOutput Price:Output: $1.14/1M

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 0324 and Parse side-by-side, then vote on the output you prefer.

DeepSeek-V3 0324
✓ Preferred
Parse
Open in Playground

FAQ

Common questions about DeepSeek-V3 0324 vs Parse.

Which is better, DeepSeek-V3 0324 or Parse?

DeepSeek-V3 0324 (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 0324 compare to Parse in benchmarks?

DeepSeek-V3 0324 scores MATH-500: 94.0%, MMLU-Pro: 81.2%, GPQA: 68.4%, AIME 2024: 59.4%, LiveCodeBench: 49.2%. Parse scores ParseBench: 79.2%.

What are the context window sizes for DeepSeek-V3 0324 and Parse?

DeepSeek-V3 0324 supports 164K 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 0324 and Parse?

Key differences include context window (164K 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 0324 and Parse?

DeepSeek-V3 0324 is developed by DeepSeek and Parse is developed by Cohere.