Gemma 3 27B Instruct
The largest model in Google's open-weight Gemma 3 family at 27B parameters, multilingual and sized for a single GPU.
Key Specifications
- Context window
- 128K tokens
- Max output
- 128K tokens
- Knowledge cutoff
- Released
- Parameters
- 27.4B
- Inputs
- Text, image
- Capabilities Show details
- Function calling Connect to external tools, APIs, and systems.
Hosted API pricing
| Provider | Input / 1M tokens | Output / 1M tokens | Cost at 10M in + 2M out | |
|---|---|---|---|---|
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$0.12 | $0.20 | $1.60 | View |
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Open weights, no hosted price | View | ||
Heads up: Prices are estimates using base-tier, on-demand rates per 1M tokens from published pages; cached, batch and long-context tiers are shown only where listed. Providers may serve a shorter context or a quantized build than the creator's release. Verify with the provider before provisioning. How we estimate costs.
Estimated cost to self-host
Gemma 3 27B Instruct needs about 20 GB of GPU memory at 4-bit with 32K context. The cheapest rental that fits is 1× RTX 3090 at about $94 a month.
That costs the same as roughly 0.7B tokens a month on Novita's API. Self-hosting is more expensive below that volume.
| Precision | Cheapest, 32K context | Cheapest, full 128K context |
|---|---|---|
| 4-bitINT4 / FP4 |
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| 8-bitFP8 / INT8 |
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| 16-bitFP16 / BF16 |
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Estimates based on median on-demand rates for Nvidia GPUs. Memory is weights plus KV cache for one request, using FP8 KV cache where supported and FP16/BF16 otherwise. Break-even assumes a 5:1 input-to-output ratio. No guarantee of runtime support, usable performance, or that a matching quantized build exists. How we estimate costs.
Similarly priced models
The models nearest Gemma 3 27B Instruct by blended rate, five each way, each at its own cheapest provider.
| Model | Blended / 1M | Input / 1M | Output / 1M | Context | Cutoff | vs Gemma 3 27B Instruct |
|---|---|---|---|---|---|---|
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$0.08 | $0.05 | $0.25 | 8K | Mar 2023 | −37% |
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$0.09 | $0.06 | $0.25 | 262K | −31% | |
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$0.10 | $0.10 | $0.10 | 256K | −25% | |
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$0.11 | $0.08 | $0.25 | 1M | −19% | |
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$0.11 | $0.05 | $0.40 | 400K | May 2024 | −19% |
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$0.13 | $0.12 | $0.20 | 128K | Aug 2024 | |
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$0.15 | $0.10 | $0.40 | 1M | Jan 2025 | +13% |
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$0.15 | $0.10 | $0.40 | 1M | Jun 2024 | +13% |
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$0.15 | $0.15 | $0.15 | 256K | +13% | |
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$0.15 | $0.10 | $0.40 | 1M | +13% | |
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$0.16 | $0.09 | $0.50 | 1M | Jun 2025 | +19% |
Prices are USD per 1M tokens at each model's cheapest listed provider. Blended is the cost of 10M input plus 2M output tokens, spread over the 12M.
Frequently Asked Questions
What is Gemma 3 27B Instruct good for?
Multilingual text generation and image understanding. It is the largest Gemma 3 model at 27.4B parameters, with open weights under the Gemma Terms of Use, and needs about 16 GB at 4-bit.
When is Gemma 3 27B Instruct not a good fit?
Video or audio input, web search, code execution or structured output. Self-hosting needs about 16 GB at 4-bit, more than the 12B variant, and the August 2024 knowledge cutoff is older than the Gemma 4 family's.
What is the cheapest way to run Gemma 3 27B Instruct?
Hosted, unless you push serious volume. Novita charges $0.12 in / $0.20 out per 1M tokens. The cheapest rental that fits is 1x RTX 3090 at $94 a month, which costs the same as about 0.7B tokens a month on that API.
Can I self-host Gemma 3 27B Instruct?
Yes. The weights are released under the Gemma Terms of Use. At 4-bit it needs about 20 GB of GPU memory, which starts at roughly $94 a month on the cheapest rental that fits.
More from Google Cloud
| Model | Context | Input / 1M | Output / 1M |
|---|---|---|---|
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1M | $0.10 | $0.40 |
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256K | $0.13 | $0.37 |
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256K | $0.13 | $0.40 |
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128K | $0.05 | $0.10 |
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1M | $0.25 | $1.50 |
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1M | $0.30 | $2.50 |
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1M | $0.30 | $2.50 |
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1M | $0.50 | $3.00 |