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Beam 1.0 vs Parse

Comparing Beam 1.0 and Parse across benchmarks, pricing, and capabilities.

Reflection AI · Cohere · Updated for 2026

Which is better?

Beam 1.0 and Parse trade strengths across price, capabilities, and technical limits. The better choice depends on the workload.

Beam 1.0 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 Beam 1.0

  • you process long inputs — it offers a 1,048,576 token context window
  • you want the most recent training data — it shipped Oct 2026
  • you need open weights you can self-host or fine-tune

Choose Parse

  • you are already invested in the Cohere ecosystem

At a glance

The differences that matter most.

Benchmark wins
—
—
Input price
$0.40 / M
— / M
Output price
$1.20 / M
— / M
Context window
1,048,576
8,192

Individual benchmarks

22 reported for Beam 1.0 · 1 for Parse

No common benchmarks found

Beam 1.0 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

499.0B diff

Beam 1.0 has 499.0B more parameters than Parse, making it 21695.7% larger.

Reflection AI
Beam 1.0
501.3Bparameters
Cohere
Parse
2.3Bparameters
501.3B
Beam 1.0
2.3B
Parse

Context Window

Maximum input and output token capacity

Beam 1.0 accepts 1,048,576 input tokens compared to Parse's 8,192 tokens. Only Beam 1.0 specifies output context (131,072 tokens).

Reflection AI
Beam 1.0
Input1,048,576 tokens
Output131,072 tokens
Cohere
Parse
Input8,192 tokens
Output- tokens
Thu Oct 22 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Parse supports multimodal inputs, whereas Beam 1.0 does not.

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

Beam 1.0

Text
Images
Audio
Video

Parse

Text
Images
Audio
Video

License

Usage and distribution terms

Beam 1.0 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.

Beam 1.0

Apache 2.0

Open weights

Parse

Proprietary

Closed source

Release Timeline

When each model was launched

Beam 1.0 was released on 2026-10-16, while Parse was released on 2026-08-27.

Beam 1.0 is 2 months newer than Parse.

Beam 1.0

Oct 16, 2026

4 days ago

1mo newer
Parse

Aug 27, 2026

1 months ago

Knowledge Cutoff

When training data ends

Beam 1.0 has a documented knowledge cutoff of 2026-06-30, while Parse's cutoff date is not specified.

We can confirm Beam 1.0's training data extends to 2026-06-30, but cannot make a direct comparison without Parse's cutoff date.

Beam 1.0

Jun 2026

Parse

—

Provider Availability

Beam 1.0 is available from Together, Reflection AI. Parse is available from Azure, Cohere.

Beam 1.0

together logo
Together
Input Price:Input: $0.40/1MOutput Price:Output: $1.20/1M
reflection logo
Unknown Organization

Parse

azure logo
Azure
cohere logo
Cohere
* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?

Judge for yourself.

Run your own prompts against Beam 1.0 and Parse side-by-side, then vote on the output you prefer.

Beam 1.0
✓ Preferred
Parse
Open in Playground

FAQ

Common questions about Beam 1.0 vs Parse.

Which is better, Beam 1.0 or Parse?

Beam 1.0 (Reflection AI) 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 Beam 1.0 compare to Parse in benchmarks?

Beam 1.0 scores AIME 2026: 97.7%, GPQA: 90.6%, LiveCodeBench: 88.3%, SWE-Bench Verified: 81.6%, MCP Atlas: 80.8%. Parse scores ParseBench: 79.2%.

What are the context window sizes for Beam 1.0 and Parse?

Beam 1.0 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 Beam 1.0 and Parse?

Key differences include context window (1.0M vs 8K), multimodal support (no vs yes), licensing (Apache 2.0 vs Proprietary). See the full comparison above for benchmark-by-benchmark results.

Who makes Beam 1.0 and Parse?

Beam 1.0 is developed by Reflection AI and Parse is developed by Cohere.