AI 模型情报

Gemma 3n 2B

google/gemma-3n-e2b-it

出品方: Google · 系列: gemma · 发布 2025-07-09 · 知识截止: 2024-10

未公开
输入 / 1M token
未公开
输出 / 1M token
8K
上下文长度
2K
最大输出

Prices in USD per 1M tokens. Unknown means the provider does not publish per-token pricing.

能力清单

工具调用推理? 结构化输出附件开放权重温度可调
支持模态: 输入 text · 输出 text

Model fit scores

0–100 · higher is better

These scores reward declared capabilities, context size, price and provider availability — they are not benchmark results. Use them as a directional signal alongside your own evaluation.

Coding3
  • Tool calling0/40
  • Structured output0/20
  • Reasoning0/10
  • Context window (100K → 1M)0/20
  • Provider availability3/10
Agents3
  • Tool calling0/35
  • Structured output0/25
  • Reasoning0/15
  • Output token limit0/15
  • Provider availability3/10
JSON / structured output10
  • Structured output / JSON mode0/50
  • Tool calling0/20
  • Temperature control10/10
  • Price-friendly for high-volume0/20
Cost efficiency0
  • Has published price0/100
Long context0
  • Context ≥ 100K0/100
Production-readiness42
  • Number of independent providers15/40
  • Has published per-token price0/20
  • Context window ≥ 8K8/15
  • No data inconsistencies across providers4/10
  • Official model (not derivative)15/15

Cost Efficiency Index

Open full calculator →

Estimated cost using the recommended provider's headline rate. Each scenario fixes average input/output tokens — the assumptions are shown in the third column.

This model has no published per-token price, so we can't compute a cost estimate. See the provider's official pricing page for current rates.

在 3 家渠道可用

服务商服务商模型 ID输入 / 1M输出 / 1M上下文发布日期
Google
google
gemma-3n-e2b-itUnknownUnknown8K2025-07-09
Nvidia
nvidia
google/gemma-3n-e2b-itUnknownUnknown128K2025-06-12
LLM Gateway
llmgateway
gemma-3n-e2b-itUnknownUnknown8K2025-07-09

各渠道数据存在不一致

  • context_window varies: 128000, 8192
  • release_date varies (span 27d): 2025-06-12, 2025-07-09
  • modalities varies across offerings

各服务商对此模型的报告值存在差异。上方「核心数据」使用代表性服务商的值;逐项请以下表为准。

Frequently asked questions

How much does Gemma 3n 2B cost?

Gemma 3n 2B does not have a publicly published per-token price in our data source. This usually means it is gated behind enterprise sales or invite access. Check Google's official pricing page for the most current rates.

What is the context window of Gemma 3n 2B?

Gemma 3n 2B has a context window of 8K tokens, with a max output of 2K tokens per reply. This is the total combined size of prompt + completion.

Does Gemma 3n 2B support tool calling?

No. Gemma 3n 2B does not support tool calling (function calling). If your workflow requires it, look at the /capabilities/tool-calling list for alternatives.

Does Gemma 3n 2B support structured output / JSON mode?

Support for structured output / JSON-schema-constrained decoding is not reported for Gemma 3n 2B in our data source. Verify with Google's official documentation before relying on it in production.

Can Gemma 3n 2B accept image input?

No. Gemma 3n 2B only accepts text as input. If you need image input, see our /capabilities/vision list for current vision-capable models.

Is Gemma 3n 2B open-weight?

Yes. Gemma 3n 2B's weights are publicly available, so you can self-host or fine-tune. Note that open weights ≠ open source — the training data and code are typically not released.

What are the best alternatives to Gemma 3n 2B?

If Gemma 3n 2B doesn't fit, consider Gemini 2.5 Pro, Gemini 2.5 Flash, Gemini 3 Flash Preview. Each one targets the same use case — see the Related links below for direct head-to-head pages.

Where does this data come from?

All numbers come from the public models.dev API and are normalised into a single canonical model record. We re-pull daily and write any changes (price, context, capability) to the /changelog page.

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Capability lists this model is in

最近更新:

Data is sourced from models.dev and normalized for comparison. Prices and capabilities may change. Always verify critical production decisions with the provider's official documentation.