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Hy3 vs Parse

Comparing Hy3 and Parse across benchmarks, pricing, and capabilities.

Tencent · Cohere · Updated for 2026

Which is better?

Hy3 and Parse trade strengths across price, capabilities, and technical limits. The better choice depends on the workload.

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

Choose Hy3

  • 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.

Hy3
Tencent
Parse
Cohere
Benchmark wins
—
—
Input price
— / M
— / M
Output price
— / M
— / M
Context window
—
8,192

Individual benchmarks

31 reported for Hy3 · 1 for Parse

No common benchmarks found

Hy3 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

292.7B diff

Hy3 has 292.7B more parameters than Parse, making it 12726.1% larger.

Tencent
Hy3
295.0Bparameters
Cohere
Parse
2.3Bparameters
295.0B
Hy3
2.3B
Parse

Context Window

Maximum input and output token capacity

Only Parse specifies input context (8,192 tokens).

Tencent
Hy3
Input- tokens
Output- 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 Hy3 does not.

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

Hy3

Text
Images
Audio
Video

Parse

Text
Images
Audio
Video

License

Usage and distribution terms

Hy3 is licensed under Apache 2.0, while Parse uses a proprietary license.

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

Hy3

Apache 2.0

Open weights

Parse

Proprietary

Closed source

Release Timeline

When each model was launched

Hy3 was released on 2026-07-06, while Parse was released on 2026-08-27.

Parse is 2 months newer than Hy3.

Hy3

Jul 6, 2026

1 months ago

Parse

Aug 27, 2026

3 days ago

1mo 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

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Judge for yourself.

Run your own prompts against Hy3 and Parse side-by-side, then vote on the output you prefer.

Hy3
✓ Preferred
Parse
Open in Playground

FAQ

Common questions about Hy3 vs Parse.

Which is better, Hy3 or Parse?

Hy3 (Tencent) 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 Hy3 compare to Parse in benchmarks?

Hy3 scores DeepSearchQA: 91.0%, GPQA: 90.4%, IMO-AnswerBench: 90.0%, BrowseComp: 84.2%, MCP Atlas: 79.1%. Parse scores ParseBench: 79.2%.

What are the context window sizes for Hy3 and Parse?

Hy3 supports an unknown number of 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 Hy3 and Parse?

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

Who makes Hy3 and Parse?

Hy3 is developed by Tencent and Parse is developed by Cohere.

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