Google Gemma 3 27B Instruct
google/gemma-3-27b-it出品方： Google · 系列: gemma · 发布 2025-03-12 · 知识截止: 2025-10
Prices in USD per 1M tokens. Unknown means the provider does not publish per-token pricing.
能力清单
Model fit scores
0–100 · higher is betterThese 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.
Coding76
- Tool calling40/40
- Structured output20/20
- Reasoning0/10
- Context window (100K → 1M)6/20
- Provider availability10/10
Agents75
- Tool calling35/35
- Structured output25/25
- Reasoning0/15
- Output token limit5/15
- Provider availability10/10
JSON / structured output100
- Structured output / JSON mode50/50
- Tool calling20/20
- Temperature control10/10
- Price-friendly for high-volume20/20
Cost efficiency88
- Headline price (log-scaled)83/95
- Has prompt-cache pricing5/5
Long context55
- Context window (100K → 2M)45/90
- Has published price for full window10/10
Vision90
- Accepts image input50/50
- Context window (10K → 1M)20/30
- Has published price10/10
- Provider availability10/10
Production-readiness94
- Number of independent providers40/40
- Has published per-token price20/20
- Context window ≥ 8K15/15
- 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.
| Scenario | Cost | Assumption |
|---|---|---|
RAG answer per 1,000 RAG answers | $0.20 < $0.01 per request | 5K input tokens (query + 4 retrieved chunks of ~1K each) and a 500-token answer. Typical SaaS knowledge-base bot. |
Support ticket triage per 10,000 tickets | $0.41 < $0.01 per request | 1K input tokens (ticket body + system prompt) and a 100-token JSON classification reply. High-volume customer support. |
Data extraction per 1,000 documents | $0.12 < $0.01 per request | 2K input tokens (a single document page) and a 500-token JSON extraction. ETL / invoice / form pipelines. |
Code review per 1,000 PRs | $0.35 < $0.01 per request | 8K input tokens (diff + surrounding files) and a 1K-token review comment. PR-bot workloads. |
Agent step per 1,000 steps | $0.43 < $0.01 per request | 12K input tokens (long-running tool history) and a 600-token tool-call decision. Cost per agent step. |
定价详情
推荐定价来自 kilo · google/gemma-3-27b-it
在 10 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 |
|---|---|---|---|---|---|
| Amazon Bedrock amazon-bedrock | google.gemma-3-27b-it | $0.120 | $0.200 | 203K | 2025-07-27 |
| OpenRouter openrouter | google/gemma-3-27b-it | $0.080 | $0.160 | 131K | 2025-03-12 |
| STACKIT stackit | google/gemma-3-27b-it | $0.490 | $0.710 | 37K | 2025-05-17 |
| NovitaAI novita-ai | google/gemma-3-27b-it | $0.119 | $0.200 | 98K | 2025-03-25 |
| Nebius Token Factory nebius | google/gemma-3-27b-it | $0.100 | $0.300 | 110K | 2026-01-20 |
| Venice AI venice | google-gemma-3-27b-it | $0.120 | $0.200 | 198K | 2025-11-04 |
| Scaleway scaleway | gemma-3-27b-it | $0.250 | $0.500 | 40K | 2024-12-01 |
| Kilo Gateway kilo | google/gemma-3-27b-it | $0.030 | $0.110 | 128K | 2025-03-12 |
| NanoGPT nano-gpt | unsloth/gemma-3-27b-it | $0.299 | $0.299 | 128K | 2025-03-10 |
| NanoGPT nano-gpt | TEE/gemma-3-27b-it | $0.200 | $0.800 | 131K | 2025-03-10 |
各渠道数据存在不一致
- context_window varies: 110000, 128000, 131072, 198000, 202752, 37000, 40000, 98304
- release_date varies (span 415d): 2024-12-01, 2025-03-10, 2025-03-12, 2025-03-25, 2025-05-17, 2025-07-27, 2025-11-04, 2026-01-20
- 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 Google Gemma 3 27B Instruct cost?
Google Gemma 3 27B Instruct costs $0.030 per 1M input tokens and $0.110 per 1M output tokens, sourced from kilo. Cache reads, audio tokens and >200K-context tiers (where applicable) are listed in the Pricing detail block above.
What is the context window of Google Gemma 3 27B Instruct?
Google Gemma 3 27B Instruct has a context window of 203K tokens, with a max output of 8K tokens per reply. This is the total combined size of prompt + completion.
Does Google Gemma 3 27B Instruct support tool calling?
Yes. Google Gemma 3 27B Instruct supports tool calling (function calling). This makes it suitable for production agent and automation workloads where the model has to invoke external functions reliably.
Does Google Gemma 3 27B Instruct support structured output / JSON mode?
Yes. Google Gemma 3 27B Instruct supports structured output / JSON-schema-constrained decoding. This makes it suitable for production agent and automation workloads where the model has to invoke external functions reliably.
Can Google Gemma 3 27B Instruct accept image input?
Yes. Google Gemma 3 27B Instruct accepts both text and image input. Vision pricing per image is usually billed on top of the regular token rate — check Google's docs for the exact rule.
Is Google Gemma 3 27B Instruct open-weight?
Yes. Google Gemma 3 27B Instruct'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 Google Gemma 3 27B Instruct?
If Google Gemma 3 27B Instruct doesn't fit, consider Gemini 2.5 Pro, Gemini 2.5 Flash, Gemma 4 31B IT. 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 are normalised into a single canonical model record and reconciled with each provider's official documentation. We re-pull daily and write any changes (price, context, capability) to the /changelog page.
Explore more
More Google models
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- Gemini 2.5 Flash$0.30 in / $2.50 out
- Gemma 4 31B IT$0.10 in / $0.30 out
- Gemini 3 Flash Preview$0.50 in / $3.00 out
- Gemini 3.1 Pro Preview$2.00 in / $12.00 out
Capability lists this model is in
最近更新：
Pricing and capabilities are refreshed daily and reconciled against each provider's official documentation. Always verify critical production decisions with the provider directly.