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Gemini 1.5 Flash 8B vs Particle-1

Particle-1 leads the LLM Stats Score 31.9 to -1.3. Gemini 1.5 Flash 8B is 3.4x cheaper per token.

Google · Particle AI · Updated for 2026

Which is better?

Particle-1 leads the overall LLM Stats Score 31.9 to -1.3, ranking #133 overall.

In the 1 individual benchmarks reported for both models, Particle-1 wins 1; this is a narrower head-to-head signal than the composite indexes.

On price, Gemini 1.5 Flash 8B is roughly 3.4x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.

Choose Gemini 1.5 Flash 8B

  • cost matters — it's about 3.4x cheaper per token

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 value its reported benchmark strengths — it wins 1 of 1 exact shared results
  • you want the most recent training data — it shipped Oct 2026

At a glance

The differences that matter most.

Core performance indexes
-1.3
#368
31.9
#133
-0.8
#359
31.2
#135
Cost, coverage & limits
Benchmark wins
0 of 1
1 of 1
Input price
$0.07 / M
$0.25 / M
Output price
$0.30 / M
$1.00 / M
Context window
1,048,576
1,048,576

Individual benchmarks

13 reported for Gemini 1.5 Flash 8B · 3 for Particle-1

1 shared

Gemini 1.5 Flash 8B outperforms in 0 benchmarks, while Particle-1 is better at 1 benchmark (GPQA).

Particle-1 significantly outperforms across most 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

Gemini 1.5 Flash 8B costs less

For input processing, Gemini 1.5 Flash 8B ($0.07/1M tokens) is 3.6x cheaper than Particle-1 ($0.25/1M tokens).

For output processing, Gemini 1.5 Flash 8B ($0.30/1M tokens) is 3.3x cheaper than Particle-1 ($1.00/1M tokens).

In conclusion, Particle-1 is more expensive than Gemini 1.5 Flash 8B.*

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

Lowest available price from all providers
Fri Oct 30 2026 • llm-stats.com
Google
Gemini 1.5 Flash 8B
Input tokens$0.07
Output tokens$0.30
Best providerGoogle
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

Both models have the same input context window of 1,048,576 tokens. Particle-1 can generate longer responses up to 131,072 tokens, while Gemini 1.5 Flash 8B is limited to 8,192 tokens.

Google
Gemini 1.5 Flash 8B
Input1,048,576 tokens
Output8,192 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

Both Gemini 1.5 Flash 8B and Particle-1 support multimodal inputs.

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

Gemini 1.5 Flash 8B

Text
Images
Audio
Video

Particle-1

Text
Images
Audio
Video

License

Usage and distribution terms

Both models are licensed under proprietary licenses.

Both models have usage restrictions defined by their respective organizations.

Gemini 1.5 Flash 8B

Proprietary

Closed source

Particle-1

Proprietary

Closed source

Release Timeline

When each model was launched

Gemini 1.5 Flash 8B was released on 2024-03-15, while Particle-1 was released on 2026-10-28.

Particle-1 is 32 months newer than Gemini 1.5 Flash 8B.

Gemini 1.5 Flash 8B

Mar 15, 2024

2.6 years ago

Particle-1

Oct 28, 2026

-3 days ago

2.6yr newer

Knowledge Cutoff

When training data ends

Gemini 1.5 Flash 8B has a documented knowledge cutoff of 2024-10-01, while Particle-1's cutoff date is not specified.

We can confirm Gemini 1.5 Flash 8B's training data extends to 2024-10-01, but cannot make a direct comparison without Particle-1's cutoff date.

Gemini 1.5 Flash 8B

Oct 2024

Particle-1

—

Provider Availability

Gemini 1.5 Flash 8B is available from Google. Particle-1 is available from Particle AI.

Gemini 1.5 Flash 8B

google logo
Google
Input Price:Input: $0.07/1MOutput Price:Output: $0.30/1M

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 Gemini 1.5 Flash 8B and Particle-1 side-by-side, then vote on the output you prefer.

Gemini 1.5 Flash 8B
✓ Preferred
Particle-1
Open in Playground

FAQ

Common questions about Gemini 1.5 Flash 8B vs Particle-1.

Which is better, Gemini 1.5 Flash 8B or Particle-1?

Particle-1 leads the LLM Stats Score 31.9 to -1.3. Gemini 1.5 Flash 8B is made by Google 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 Gemini 1.5 Flash 8B compare to Particle-1 in benchmarks?

Gemini 1.5 Flash 8B scores XSTest: 92.6%, FLEURS: 86.4%, Natural2Code: 75.5%, WMT23: 72.6%, Video-MME: 66.2%. Particle-1 scores GPQA: 90.4%, BabyVision: 89.2%, MMLU: 86.1%.

Is Gemini 1.5 Flash 8B cheaper than Particle-1?

Gemini 1.5 Flash 8B is 3.6x cheaper for input tokens. Gemini 1.5 Flash 8B costs $0.07/M input and $0.30/M output via google. Particle-1 costs $0.25/M input and $1.00/M output via particle-ai.

What are the context window sizes for Gemini 1.5 Flash 8B and Particle-1?

Gemini 1.5 Flash 8B 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 Gemini 1.5 Flash 8B and Particle-1?

Key differences include LLM Stats Score (-1.3 vs 31.9), input pricing ($0.07 vs $0.25/M). See the full comparison above for benchmark-by-benchmark results.

Who makes Gemini 1.5 Flash 8B and Particle-1?

Gemini 1.5 Flash 8B is developed by Google and Particle-1 is developed by Particle AI.