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DeepSeek-V3 vs Particle-1

Particle-1 leads the LLM Stats Score 31.9 to 15.1. DeepSeek-V3 is 1.0x cheaper per token.

DeepSeek · Particle AI · Updated for 2026

Which is better?

Particle-1 leads the overall LLM Stats Score 31.9 to 15.1, ranking #133 overall.

The models split the 2 individual benchmarks reported for both models evenly.

Particle-1 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-V3

  • you need open weights you can self-host or fine-tune

Choose Particle-1

  • overall performance matters — it scores 31.9 and ranks #133 on LLM Stats
  • your work emphasizes reasoning — it leads those capability indexes
  • you process long inputs — it offers a 1,048,576 token context window
  • you want the most recent training data — it shipped Oct 2026

At a glance

The differences that matter most.

DeepSeek-V3
DeepSeek
Particle-1
Particle AI
Core performance indexes
LLM Stats Score
15.1
#264
31.9
#133
Reasoning
14.2
#263
31.2
#135
Cost, coverage & limits
Benchmark wins
1 of 2
1 of 2
Input price
$0.27 / M
$0.25 / M
Output price
$0.89 / M
$1.00 / M
Context window
131,072
1,048,576

Individual benchmarks

20 reported for DeepSeek-V3 · 3 for Particle-1

2 shared

DeepSeek-V3 outperforms in 1 benchmarks (MMLU), while Particle-1 is better at 1 benchmark (GPQA).

Both models are evenly matched across the benchmarks.

Fri Oct 30 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Pricing Analysis

Price comparison per million tokens

DeepSeek-V3 costs less

For input processing, DeepSeek-V3 ($0.27/1M tokens) is 1.1x more expensive than Particle-1 ($0.25/1M tokens).

For output processing, DeepSeek-V3 ($0.89/1M tokens) is 1.1x cheaper than Particle-1 ($1.00/1M tokens).

In conclusion, Particle-1 is more expensive than DeepSeek-V3.*

* Using a 3:1 ratio of input to output tokens

Lowest available price from all providers
Fri Oct 30 2026 • llm-stats.com
DeepSeek
DeepSeek-V3
Input tokens$0.27
Output tokens$0.89
Best providerDeepSeek
Particle AI
Particle-1
Input tokens$0.25
Output tokens$1.00
Best providerUnknown Organization
Notice missing or incorrect data?

Context Window

Maximum input and output token capacity

Particle-1 accepts 1,048,576 input tokens compared to DeepSeek-V3's 131,072 tokens. Both models can generate responses up to 131,072 tokens.

DeepSeek
DeepSeek-V3
Input131,072 tokens
Output131,072 tokens
Particle AI
Particle-1
Input1,048,576 tokens
Output131,072 tokens
Fri Oct 30 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Particle-1 supports multimodal inputs, whereas DeepSeek-V3 does not.

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

DeepSeek-V3

Text
Images
Audio
Video

Particle-1

Text
Images
Audio
Video

License

Usage and distribution terms

DeepSeek-V3 is licensed under MIT + Model License (Commercial use allowed), while Particle-1 uses a proprietary license.

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

DeepSeek-V3

MIT + Model License (Commercial use allowed)

Open weights

Particle-1

Proprietary

Closed source

Release Timeline

When each model was launched

DeepSeek-V3 was released on 2024-12-25, while Particle-1 was released on 2026-10-28.

Particle-1 is 22 months newer than DeepSeek-V3.

DeepSeek-V3

Dec 25, 2024

1.8 years ago

Particle-1

Oct 28, 2026

-2 days ago

1.8yr 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 is available from DeepSeek, DeepInfra. Particle-1 is available from Particle AI.

DeepSeek-V3

deepseek logo
DeepSeek
Input Price:Input: $0.27/1MOutput Price:Output: $1.10/1M
deepinfra logo
Deepinfra
Input Price:Input: $0.32/1MOutput Price:Output: $0.89/1M

Particle-1

particle-ai logo
Unknown Organization
Input Price:Input: $0.25/1MOutput Price:Output: $1.00/1M
* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?

Judge for yourself.

Run your own prompts against DeepSeek-V3 and Particle-1 side-by-side, then vote on the output you prefer.

DeepSeek-V3
✓ Preferred
Particle-1
Open in Playground

FAQ

Common questions about DeepSeek-V3 vs Particle-1.

Which is better, DeepSeek-V3 or Particle-1?

Particle-1 leads the LLM Stats Score 31.9 to 15.1. DeepSeek-V3 is made by DeepSeek and Particle-1 is made by Particle AI. The best choice depends on your use case — compare their capability indexes, individual benchmarks, pricing, and limits above.

How does DeepSeek-V3 compare to Particle-1 in benchmarks?

DeepSeek-V3 scores DROP: 91.6%, CLUEWSC: 90.9%, MATH-500: 90.2%, MMLU-Redux: 89.1%, MMLU: 88.5%. Particle-1 scores GPQA: 90.4%, BabyVision: 89.2%, MMLU: 86.1%.

Is DeepSeek-V3 cheaper than Particle-1?

Particle-1 is 1.1x cheaper for input tokens. DeepSeek-V3 costs $0.27/M input and $0.89/M output via deepseek. Particle-1 costs $0.25/M input and $1.00/M output via particle-ai.

What are the context window sizes for DeepSeek-V3 and Particle-1?

DeepSeek-V3 supports 131K tokens and Particle-1 supports 1.0M 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 and Particle-1?

Key differences include LLM Stats Score (15.1 vs 31.9), context window (131K vs 1.0M), input pricing ($0.27 vs $0.25/M), 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 and Particle-1?

DeepSeek-V3 is developed by DeepSeek and Particle-1 is developed by Particle AI.

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