The AI arena is free today

Open Superagent

Mistral Large 4 vs Particle-1

Mistral Large 4 leads the LLM Stats Score 46.8 to 31.9. Particle-1 is 2.4x cheaper per token.

Mistral AI · Particle AI · Updated for 2026

Which is better?

Mistral Large 4 leads the overall LLM Stats Score 46.8 to 31.9, ranking #41 overall.

On price, Particle-1 is roughly 2.4x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

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 Mistral Large 4

  • overall performance matters — it scores 46.8 and ranks #41 on LLM Stats
  • your work emphasizes reasoning — it leads those capability indexes
  • you need open weights you can self-host or fine-tune

Choose Particle-1

  • cost matters — it's about 2.4x cheaper per token
  • 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.

Mistral Large 4
Mistral AI
Particle-1
Particle AI
Core performance indexes
LLM Stats Score
46.8
#41
31.9
#133
Reasoning
45.2
#38
31.2
#135
Cost, coverage & limits
Benchmark wins
—
—
Input price
$0.70 / M
$0.25 / M
Output price
$2.10 / M
$1.00 / M
Context window
1,000,000
1,048,576

Individual benchmarks

20 reported for Mistral Large 4 · 3 for Particle-1

No common benchmarks found

Mistral Large 4 and Particle-1don'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

Pricing Analysis

Price comparison per million tokens

Particle-1 costs less

For input processing, Mistral Large 4 ($0.70/1M tokens) is 2.8x more expensive than Particle-1 ($0.25/1M tokens).

For output processing, Mistral Large 4 ($2.10/1M tokens) is 2.1x more expensive than Particle-1 ($1.00/1M tokens).

In conclusion, Mistral Large 4 is more expensive than Particle-1.*

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

Lowest available price from all providers
Thu Oct 29 2026 • llm-stats.com
Mistral AI
Mistral Large 4
Input tokens$0.70
Output tokens$2.10
Best providerMistral
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 Mistral Large 4's 1,000,000 tokens. Only Particle-1 specifies output context (131,072 tokens).

Mistral AI
Mistral Large 4
Input1,000,000 tokens
Output- tokens
Particle AI
Particle-1
Input1,048,576 tokens
Output131,072 tokens
Thu Oct 29 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Both Mistral Large 4 and Particle-1 support multimodal inputs.

They are both capable of processing various types of data, offering versatility in application.

Mistral Large 4

Text
Images
Audio
Video

Particle-1

Text
Images
Audio
Video

License

Usage and distribution terms

Mistral Large 4 is licensed under Modified MIT License, while Particle-1 uses a proprietary license.

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

Mistral Large 4

Modified MIT License

Open weights

Particle-1

Proprietary

Closed source

Release Timeline

When each model was launched

Mistral Large 4 was released on 2026-10-06, while Particle-1 was released on 2026-10-28.

Particle-1 is 1 month newer than Mistral Large 4.

Mistral Large 4

Oct 6, 2026

3 weeks ago

Particle-1

Oct 28, 2026

-1 days 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

Mistral Large 4 is available from Mistral AI. Particle-1 is available from Particle AI.

Mistral Large 4

mistral logo
Mistral
Input Price:Input: $0.70/1MOutput Price:Output: $2.10/1M

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 Mistral Large 4 and Particle-1 side-by-side, then vote on the output you prefer.

Mistral Large 4
✓ Preferred
Particle-1
Open in Playground

FAQ

Common questions about Mistral Large 4 vs Particle-1.

Which is better, Mistral Large 4 or Particle-1?

Mistral Large 4 leads the LLM Stats Score 46.8 to 31.9. Mistral Large 4 is made by Mistral AI 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 Mistral Large 4 compare to Particle-1 in benchmarks?

Mistral Large 4 scores B3 AI Security Benchmark: 97.1%, CyBench: 93.0%, SciCode: 91.8%, KORABench: 84.5%, BrowseComp: 84.5%. Particle-1 scores GPQA: 90.4%, BabyVision: 89.2%, MMLU: 86.1%.

Is Mistral Large 4 cheaper than Particle-1?

Particle-1 is 2.8x cheaper for input tokens. Mistral Large 4 costs $0.70/M input and $2.10/M output via mistral. Particle-1 costs $0.25/M input and $1.00/M output via particle-ai.

What are the context window sizes for Mistral Large 4 and Particle-1?

Mistral Large 4 supports 1.0M 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 Mistral Large 4 and Particle-1?

Key differences include LLM Stats Score (46.8 vs 31.9), context window (1.0M vs 1.0M), input pricing ($0.70 vs $0.25/M), licensing (Modified MIT License vs Proprietary). See the full comparison above for benchmark-by-benchmark results.

Who makes Mistral Large 4 and Particle-1?

Mistral Large 4 is developed by Mistral AI and Particle-1 is developed by Particle AI.

Related comparisons