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DeepSeek-V4-Flash-0731 vs Parse

Comparing DeepSeek-V4-Flash-0731 and Parse across benchmarks, pricing, and capabilities.

DeepSeek · Cohere · Updated for 2026

Which is better?

DeepSeek-V4-Flash-0731 and Parse trade strengths across price, capabilities, and technical limits. The better choice depends on the workload.

DeepSeek-V4-Flash-0731 also accepts a larger context window (1,048,576 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-V4-Flash-0731

  • you process long inputs — it offers a 1,048,576 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
$0.06 / M
— / M
Output price
$0.18 / M
— / M
Context window
1,048,576
8,192

Individual benchmarks

9 reported for DeepSeek-V4-Flash-0731 · 1 for Parse

No common benchmarks found

DeepSeek-V4-Flash-0731 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

301.7B diff

DeepSeek-V4-Flash-0731 has 301.7B more parameters than Parse, making it 13117.4% larger.

DeepSeek
DeepSeek-V4-Flash-0731
304.0Bparameters
Cohere
Parse
2.3Bparameters
304.0B
DeepSeek-V4-Flash-0731
2.3B
Parse

Context Window

Maximum input and output token capacity

DeepSeek-V4-Flash-0731 accepts 1,048,576 input tokens compared to Parse's 8,192 tokens. Only DeepSeek-V4-Flash-0731 specifies output context (1,048,576 tokens).

DeepSeek
DeepSeek-V4-Flash-0731
Input1,048,576 tokens
Output1,048,576 tokens
Cohere
Parse
Input8,192 tokens
Output- tokens
Tue Sep 22 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Parse supports multimodal inputs, whereas DeepSeek-V4-Flash-0731 does not.

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

DeepSeek-V4-Flash-0731

Text
Images
Audio
Video

Parse

Text
Images
Audio
Video

License

Usage and distribution terms

DeepSeek-V4-Flash-0731 is licensed under MIT, while Parse uses a proprietary license.

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

DeepSeek-V4-Flash-0731

MIT

Open weights

Parse

Proprietary

Closed source

Release Timeline

When each model was launched

DeepSeek-V4-Flash-0731 was released on 2026-07-31, while Parse was released on 2026-08-27.

Parse is 1 month newer than DeepSeek-V4-Flash-0731.

DeepSeek-V4-Flash-0731

Jul 31, 2026

1 months ago

Parse

Aug 27, 2026

3 weeks ago

3w 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-V4-Flash-0731 is available from DeepInfra, Novita, Fireworks. Parse is available from Azure, Cohere.

DeepSeek-V4-Flash-0731

deepinfra logo
Deepinfra
Input Price:Input: $0.06/1MOutput Price:Output: $0.18/1M
novita logo
Novita
Input Price:Input: $0.14/1MOutput Price:Output: $0.28/1M
fireworks logo
Fireworks
Input Price:Input: $0.44/1MOutput Price:Output: $1.32/1M

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-V4-Flash-0731 and Parse side-by-side, then vote on the output you prefer.

DeepSeek-V4-Flash-0731
✓ Preferred
Parse
Open in Playground

FAQ

Common questions about DeepSeek-V4-Flash-0731 vs Parse.

Which is better, DeepSeek-V4-Flash-0731 or Parse?

DeepSeek-V4-Flash-0731 (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-V4-Flash-0731 compare to Parse in benchmarks?

DeepSeek-V4-Flash-0731 scores Terminal-Bench 2.1: 82.7%, CyberGym: 76.7%, Toolathlon: 70.3%, DSBench-FullStack: 68.7%, DSBench-Hard: 59.6%. Parse scores ParseBench: 79.2%.

What are the context window sizes for DeepSeek-V4-Flash-0731 and Parse?

DeepSeek-V4-Flash-0731 supports 1.0M 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-V4-Flash-0731 and Parse?

Key differences include context window (1.0M vs 8K), multimodal support (no vs yes), licensing (MIT vs Proprietary). See the full comparison above for benchmark-by-benchmark results.

Who makes DeepSeek-V4-Flash-0731 and Parse?

DeepSeek-V4-Flash-0731 is developed by DeepSeek and Parse is developed by Cohere.