Claude Opus 4.7 vs Particle-1
Claude Opus 4.7 leads the LLM Stats Score 43.3 to 31.9. Particle-1 is 22.9x cheaper per token.
Anthropic · Particle AI · Updated for 2026
Which is better?
Claude Opus 4.7 leads the overall LLM Stats Score 43.3 to 31.9, ranking #57 overall.
In the 1 individual benchmarks reported for both models, Claude Opus 4.7 wins 1; this is a narrower head-to-head signal than the composite indexes.
On price, Particle-1 is roughly 22.9x 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 Claude Opus 4.7
- overall performance matters — it scores 43.3 and ranks #57 on LLM Stats
- your work emphasizes reasoning — it leads those capability indexes
- you value its reported benchmark strengths — it wins 1 of 1 exact shared results
Choose Particle-1
- cost matters — it's about 22.9x 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.
Individual benchmarks
17 reported for Claude Opus 4.7 · 3 for Particle-1
Claude Opus 4.7 outperforms in 1 benchmarks (GPQA), while Particle-1 is better at 0 benchmarks.
Claude Opus 4.7 significantly outperforms across most benchmarks.
Human preference
Blind head-to-head votes and playground preference scores
Pricing Analysis
Price comparison per million tokens
For input processing, Claude Opus 4.7 ($5.00/1M tokens) is 20.0x more expensive than Particle-1 ($0.25/1M tokens).
For output processing, Claude Opus 4.7 ($25.00/1M tokens) is 25.0x more expensive than Particle-1 ($1.00/1M tokens).
In conclusion, Claude Opus 4.7 is more expensive than Particle-1.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
Particle-1 accepts 1,048,576 input tokens compared to Claude Opus 4.7's 1,000,000 tokens. Particle-1 can generate longer responses up to 131,072 tokens, while Claude Opus 4.7 is limited to 128,000 tokens.
Input capabilities
Documented input modalities across available providers
Both Claude Opus 4.7 and Particle-1 support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
Claude Opus 4.7
Particle-1
License
Usage and distribution terms
Both models are licensed under proprietary licenses.
Both models have usage restrictions defined by their respective organizations.
Proprietary
Closed source
Proprietary
Closed source
Release Timeline
When each model was launched
Claude Opus 4.7 was released on 2026-04-16, while Particle-1 was released on 2026-10-28.
Particle-1 is 7 months newer than Claude Opus 4.7.
Apr 16, 2026
6 months ago
Oct 28, 2026
1 days ago
6mo newerKnowledge Cutoff
When training data ends
Neither model specifies a knowledge cutoff date.
Unable to compare the recency of their training data.
Provider Availability
Claude Opus 4.7 is available from Anthropic, DeepInfra, Vertex AI. Particle-1 is available from Particle AI.
Claude Opus 4.7
Particle-1
Outputs Comparison
Judge for yourself.
Run your own prompts against Claude Opus 4.7 and Particle-1 side-by-side, then vote on the output you prefer.
FAQ
Common questions about Claude Opus 4.7 vs Particle-1.