Neither wins outright: Google: Gemini 2.5 Flash (batch) is the pick when you need audio input, Particle AI: Particle-1 when you need log-probabilities.
| Spec | Google: Gemini 2.5 Flash (batch) | Particle AI: Particle-1 |
|---|---|---|
| Provider | Particle Ai | |
| Input price (per 1M tokens) | $0.15 | $0.25 |
| Output price (per 1M tokens) | $1.25 | $1.00 |
| Blended price (3:1 input/output) | $0.42 | $0.44 |
| Cheaper than … of all models we track | 57% | 56% |
| Context window | 1.0M tokens (~1,573 pages) | 1.0M tokens (~1,573 pages) |
| Larger context than … of all models | 80% | 80% |
| Max output per response | 66K tokens (~49,200 words) | 131K tokens (~98,300 words) |
| Input types | file, image, text, audio, video | text, image |
| Output types | text | text |
| Free variant | No | No |
| Listed since | 2025-06-17 | 2026-10-28 |
Monthly cost at list price for five common workloads. Token counts per unit are stated so you can scale them to your own traffic. A workload that does not fit a model's context window is marked rather than priced.
| Workload (per month) | Google: Gemini 2.5 Flash (batch) | Particle AI: Particle-1 | Difference |
|---|---|---|---|
| Customer-support chatbot 50,000 conversations — each a 6-turn conversation (1,500 in / 400 out tokens) | $36.25 | $38.75 | Google: Gemini 2.5 Flash (batch) saves $2.50 |
| RAG search over documents 20,000 questions — each a question answered from ~8 retrieved passages (6,000 in / 500 out tokens) | $30.50 | $40.00 | Google: Gemini 2.5 Flash (batch) saves $9.50 |
| Coding / tool-using agent 2,000 tasks — each a multi-step task with tool calls and file context (60,000 in / 6,000 out tokens) | $33.00 | $42.00 | Google: Gemini 2.5 Flash (batch) saves $9.00 |
| Batch summarisation 10,000 documents — each a 6,000-word report summarised to a page (8,000 in / 600 out tokens) | $19.50 | $26.00 | Google: Gemini 2.5 Flash (batch) saves $6.50 |
| Long-document analysis 500 documents — each a 150-page contract or codebase read in one pass (100,000 in / 2,000 out tokens) | $8.75 | $13.50 | Google: Gemini 2.5 Flash (batch) saves $4.75 |
| Capability | Google: Gemini 2.5 Flash (batch) | Particle AI: Particle-1 | What it lets you do |
|---|---|---|---|
| Tool / function calling | ✓ Yes | ✓ Yes | call your APIs and run agent loops |
| Structured output (JSON schema) | ✓ Yes | ✓ Yes | return JSON that validates against your schema |
| Reasoning / thinking mode | ✓ Yes | ✓ Yes | spend extra tokens thinking before answering hard problems |
| Image input | ✓ Yes | ✓ Yes | read screenshots, charts and scanned pages |
| Audio input | ✓ Yes | — | take speech or audio directly |
| File / PDF input | ✓ Yes | — | accept documents without your own parsing step |
| Image output | — | — | generate images, not just text |
| Built-in web search | ✓ Yes | — | answer from live web results |
| Seed (reproducible sampling) | ✓ Yes | ✓ Yes | repeat a generation for tests and evals |
| Log-probabilities | — | ✓ Yes | read token confidence for classification and scoring |
From each model's published parameters and input/output types. “—” means not advertised, not proven absent.
Neither wins outright: Google: Gemini 2.5 Flash (batch) is the pick when you need audio input, Particle AI: Particle-1 when you need log-probabilities. In short: Google: Gemini 2.5 Flash (batch) when you need audio input, you need file / PDF input, you need built-in web search; Particle AI: Particle-1 when you need log-probabilities, you generate long outputs in one go, you want the newer model.
Google: Gemini 2.5 Flash (batch) is cheaper: $0.42 vs $0.44 per 1M tokens at a typical 3:1 input/output mix, 3% less. For 50,000 support conversations a month that is $36.25 against $38.75.
Google: Gemini 2.5 Flash (batch) costs $0.15 per 1M input tokens and $1.25 per 1M output tokens; Particle AI: Particle-1 costs $0.25 input and $1.00 output. Output tokens are billed separately, so long answers shift the gap.
Both take 1.0M tokens per request — roughly 1,573 pages of text.
Tool calling — Google: Gemini 2.5 Flash (batch): yes, Particle AI: Particle-1: yes. JSON-schema structured output — Google: Gemini 2.5 Flash (batch): yes, Particle AI: Particle-1: yes.
Yes, both accept image input.
No free variant is listed for either; both are pay-per-token.
Google: Gemini 2.5 Flash (batch) can write up to 66K tokens (about 49,200 words) per response; Particle AI: Particle-1 up to 131K (about 98,300 words).
Google: Gemini 2.5 Flash (batch) was listed on 2025-06-17; Particle AI: Particle-1 on 2026-10-28.
Gemini 2.5 Flash is Google's state-of-the-art workhorse model, specifically designed for advanced reasoning, coding, mathematics, and scientific tasks. It includes built-in "thinking" capabilities, enabling it to provide responses with greater...
Full Google: Gemini 2.5 Flash (batch) specs →Particle-1 is a token-efficient agentic coding model from Particle AI, post-trained on DeepSeek V4.1 Flash. It is suited for software engineering work such as terminal workflows, codebase changes, and data...
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