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Particle-1 vs SWE-2

SWE-2 leads the LLM Stats Score 47.9 to 32.0.

Particle AI · Cognition · Updated for 2026

Which is better?

SWE-2 leads the overall LLM Stats Score 47.9 to 32.0, ranking #34 overall.

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

Choose Particle-1

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

Choose SWE-2

  • overall performance matters — it scores 47.9 and ranks #34 on LLM Stats
  • your work emphasizes reasoning — it leads those capability indexes

At a glance

The differences that matter most.

Particle-1
Particle AI
SWE-2
Cognition
Core performance indexes
LLM Stats Score
32.0
#135
47.9
#34
Reasoning
31.2
#137
45.5
#37
Cost, coverage & limits
Benchmark wins
—
—
Input price
$0.25 / M
— / M
Output price
$1.00 / M
— / M
Context window
1,048,576
—

Individual benchmarks

3 reported for Particle-1 · 4 for SWE-2

No common benchmarks found

Particle-1 and SWE-2don'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

Context Window

Maximum input and output token capacity

Only Particle-1 specifies input context (1,048,576 tokens). Only Particle-1 specifies output context (131,072 tokens).

Particle AI
Particle-1
Input1,048,576 tokens
Output131,072 tokens
Cognition
SWE-2
Input- tokens
Output- tokens
Fri Nov 06 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Particle-1 supports multimodal inputs, whereas SWE-2 does not.

Particle-1 can handle both text and other forms of data like images, making it suitable for multimodal applications.

Particle-1

Text
Images
Audio
Video

SWE-2

Text
Images
Audio
Video

License

Usage and distribution terms

Both models are licensed under proprietary licenses.

Both models have usage restrictions defined by their respective organizations.

Particle-1

Proprietary

Closed source

SWE-2

Proprietary

Closed source

Release Timeline

When each model was launched

Particle-1 was released on 2026-10-28, while SWE-2 was released on 2026-09-10.

Particle-1 is 2 months newer than SWE-2.

Particle-1

Oct 28, 2026

1 weeks ago

1mo newer
SWE-2

Sep 10, 2026

1 months ago

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?

Judge for yourself.

Run your own prompts against Particle-1 and SWE-2 side-by-side, then vote on the output you prefer.

Particle-1
✓ Preferred
SWE-2
Open in Playground

FAQ

Common questions about Particle-1 vs SWE-2.

Which is better, Particle-1 or SWE-2?

SWE-2 leads the LLM Stats Score 47.9 to 32.0. Particle-1 is made by Particle AI and SWE-2 is made by Cognition. The best choice depends on your use case — compare their capability indexes, individual benchmarks, pricing, and limits above.

How does Particle-1 compare to SWE-2 in benchmarks?

Particle-1 scores GPQA: 90.4%, BabyVision: 89.2%, MMLU: 86.1%. SWE-2 scores Terminal-Bench 2.1: 92.8%, DeepSWE 1.1: 73.0%, FrontierCode 1.1: 50.0%, Terminal-Bench 4.0: 27.3%.

What are the context window sizes for Particle-1 and SWE-2?

Particle-1 supports 1.0M tokens and SWE-2 supports an unknown number of tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between Particle-1 and SWE-2?

Key differences include LLM Stats Score (32.0 vs 47.9), multimodal support (yes vs no). See the full comparison above for benchmark-by-benchmark results.

Who makes Particle-1 and SWE-2?

Particle-1 is developed by Particle AI and SWE-2 is developed by Cognition.

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