xiaomi
Particle-1 vs MiMo-V2.6-Pro
68.5 overall · $0.544 / 1M
// particle-ai
Particle-1
particle-ai/particle-1
Particle-1 costs $0.250 per 1M input tokens and $1.00 per 1M output tokens with a 1.0M-token context window.
A reasoning, tool-calling model from particle-ai, released Oct 28, 2026. LiveBench hasn't published a run for it, so this page carries measured price and specs only — no benchmark numbers.
- Input / 1M
- $0.250
- Output / 1M
- $1.00
- Context
- 1.0M
- LiveBench overall
- Not evaluated
Specs and pricing
| Input price USD per 1M prompt tokens | $0.250 |
|---|---|
| Output price USD per 1M completion tokens, reasoning included | $1.00 |
| Blended price 3:1 input:output — #131 cheapest of 351 listed models | $0.438 |
| Cached input read Blank means not priced separately — not free | $0.030 |
| Cache write | — |
| Context window | 1,048,576 tokens |
| Max output | 131,072 tokens |
| Input modalities | text, image |
| Tool calling | Yes |
| Extended reasoning | Yes |
| Knowledge cutoff | — |
| Listed | Oct 28, 2026 |
What Particle-1 costs to run
Monthly list cost across five workload shapes, using the published cached-input rate where there is one. A floor, not a quote — batch discounts and cache writes aren't included.
| Workload | Per month |
|---|---|
| Support chatbot 1.2K in / 400 out × 200K requests | $124.16/mo |
| RAG assistant 8K in / 600 out × 100K requests | $172.00/mo |
| Coding agent 40K in / 4K out × 20K requests | $156.80/mo |
| Document extraction 20K in / 1.5K out × 50K requests | $314.00/mo |
| Bulk classification 500 in / 20 out × 5M requests | $615.00/mo |
Compare Particle-1 with
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38.7 overall · $0.250 / 1M
nvidia
Particle-1 vs Nemotron 3.5 Super VL
50.2 overall · $0.237 / 1M
Particle-1 FAQ
How much does Particle-1 cost?
Particle-1 lists at $0.250 per 1M input tokens and $1.00 per 1M output tokens, with cached input reads at $0.030 per 1M. A RAG assistant handling 100K requests a month (8K tokens in, 600 out) comes to about $172.00 at list price.
What is the context window of Particle-1?
Particle-1 accepts up to 1,048,576 tokens of context and can return up to 131,072 output tokens per response.
Does Particle-1 support tool calling?
Yes — Particle-1 supports tool (function) calling and exposes extended reasoning. It accepts text, image input.
How does Particle-1 score on benchmarks?
LiveBench has not published a run for Particle-1 yet. Until it does, compare it on price and specs, or run your own evaluation on your own tasks.
What is the API model ID for Particle-1?
On OpenRouter the model ID is "particle-ai/particle-1". It was listed on Oct 28, 2026.
How these numbers are produced
- Price and specs — provider list data from OpenRouter, refreshed every 15 minutes. “Blended” is a 3:1 input:output mix.
- Scores and ranks — LiveBench release 2026-10-25. Ranks count only models that have a published run; a blank means “not evaluated”, never “bad”.
- Cost per point — the measured dollars LiveBench spent on the run, divided by the score it earned.
Published benchmarks rank models on someone else's tasks. Before committing, see LLM & agent evaluation for building an eval on your own.