AI model comparison
Gemma 3 27B vs Llama 3.2 1B Instruct
Pricing, context window, benchmarks, and features compared side by side. Or skip the guesswork and send one prompt to both.
Gemma 3 27B
Gemma 3 introduces multimodality, supporting vision-language input and text outputs.
- Input / 1M
- $0.08
- Output / 1M
- $0.45
- Context
- 131K
Llama 3.2 1B is a 1-billion-parameter language model focused on efficiently performing natural language tasks, such as summarization, dialogue, and multilingual text analysis.
- Input / 1M
- $0.03
- Output / 1M
- $0.20
- Context
- 60K
At a glance
Quick verdict
How the two models stack up on the things people ask about most.
Lower price
Llama 3.2 1B Instruct
2.5x cheaper for a typical chat
Higher intelligence score
Gemma 3 27B
4.9 vs 4.8 on Artificial Analysis
Larger context window
Gemma 3 27B
131K vs 60K tokens
Newer release
Gemma 3 27B
Released March 12, 2025
Benchmarks
Benchmark scores
Independent scores from Artificial Analysis. Higher is better.
Intelligence index
Gemma 3 27B4.9Coding index
Gemma 3 27B10.1Agentic index
Gemma 3 27B0.1Pricing
Gemma 3 27B vs Llama 3.2 1B Instruct API pricing
Per-token API rates. Cheaper option highlighted.
| Metric | Gemma 3 27B | |
|---|---|---|
| Input tokensPer 1M tokens | $0.08 | $0.03 |
| Output tokensPer 1M tokens | $0.45 | $0.20 |
| Cached input (read)Per 1M tokens | $0.04 | Not available |
| Cache writePer 1M tokens | Not available | Not available |
What it costs in practice
Estimated cost per 1,000 requests at standard rates. Coding and long-document figures also show the cost when the input is already cached.
Chat message
2K in, 500 out
Gemma 3 27B$0.39Coding task
30K in, 4K out
Gemma 3 27B$4.20$3 cachedLong document summary
150K in, 2K out
Gemma 3 27B$12.90$6.90 cachedSpecs
Context window and capabilities
How much each model can read, how much it can write, and what it accepts as input.
| Metric | Gemma 3 27B | |
|---|---|---|
| Context window | 131K tokens | 60K tokens |
| Max output | 118K tokens | 54K tokens |
| Input types | Image, Text | Text |
| Output types | Text | Text |
| Reasoning effort levels | Not available | Not available |
| Default reasoning effort | Not available | Not available |
| Release date | March 12, 2025 | September 25, 2024 |
Features
Supported features
API features available for each model.
| Metric | Gemma 3 27B | |
|---|---|---|
| Tool calling | Supported | Not supported |
| Structured outputs | Supported | Not supported |
| JSON mode | Supported | Not supported |
| Reasoning | Not supported | Not supported |
| Temperature | Supported | Supported |
| Stop sequences | Supported | Supported |
| Deterministic seed | Supported | Supported |
| Verbosity control | Not supported | Not supported |
Keep exploring
More on these models
Other head-to-heads, the full model page, and the alternatives list for each model.
Gemma 3 27BView full model details- Gemma 3 27B vs Gemini 2.5 Flash Lite
- Gemma 3 27B vs GPT-4o-mini
- Gemma 3 27B vs Qwen3 30B A3B Instruct 2507
- Gemma 3 27B vs Llama 3.3 70B Instruct
- Gemma 3 27B vs GPT-4.1 Nano
- Gemma 3 27B vs Gemma 3 12B
- Gemma 3 27B vs Qwen2.5 72B Instruct
- Gemma 3 27B vs Hermes 3 70B Instruct
- Gemma 3 27B vs Llama 3.1 70B Instruct
- Gemma 3 27B vs Llama 3.2 3B Instruct
- Gemma 3 27B vs Gemma 3 4B
- Gemma 3 27B vs GPT-3.5 Turbo
- Gemma 3 27B vs Saba
- Llama 3.2 1B Instruct vs Llama 4 Scout
- Llama 3.2 1B Instruct vs Llama 3.3 70B Instruct
- Llama 3.2 1B Instruct vs Llama 3.1 8B Instruct
- Llama 3.2 1B Instruct vs Llama 3.1 70B Instruct
- Llama 3.2 1B Instruct vs Reka Flash 3
- Llama 3.2 1B Instruct vs Ministral 3 14B 2512
- Llama 3.2 1B Instruct vs Nova Micro 1.0
- Llama 3.2 1B Instruct vs Llama 3.2 3B Instruct
- Llama 3.2 1B Instruct vs Ministral 3 8B 2512
- Llama 3.2 1B Instruct vs Granite 4.0 Micro
- Llama 3.2 1B Instruct vs Ministral 3 3B 2512
- Llama 3.2 1B Instruct vs Gemma 3 4B
- Llama 3.2 1B Instruct vs Gemma 3 12B
Our take
Llama 3.2 1B Instruct is 2.5x cheaper for a typical chat. Gemma 3 27B scores higher on the Artificial Analysis Intelligence Index (4.9 vs 4.8). Gemma 3 27B has the larger context window (131K vs 60K tokens). The right pick depends on your workload, so the quickest way to settle it is to send the same prompt to both and compare.
FAQ
Frequently asked questions
Is Gemma 3 27B or Llama 3.2 1B Instruct cheaper?
Llama 3.2 1B Instruct is cheaper for a typical chat (2K input tokens and 500 output tokens). Llama 3.2 1B Instruct costs $0.03 per 1M input tokens and $0.20 per 1M output tokens, while Gemma 3 27B costs $0.08 per 1M input tokens and $0.45 per 1M output tokens.
Which has a bigger context window, Gemma 3 27B or Llama 3.2 1B Instruct?
Gemma 3 27B supports up to 131K tokens of context, compared with 60K for Llama 3.2 1B Instruct.
Is Gemma 3 27B smarter than Llama 3.2 1B Instruct?
On the Artificial Analysis Intelligence Index, Gemma 3 27B scores 4.9 and Llama 3.2 1B Instruct scores 4.8, putting Gemma 3 27B ahead. Benchmarks don't capture everything, so the best test is running your own prompts through both.
Can I use Gemma 3 27B and Llama 3.2 1B Instruct at the same time?
Yes. Shortcut Chat sends one prompt to multiple models at once, so you can see Gemma 3 27B and Llama 3.2 1B Instruct answer side by side and keep the better response.
Why choose? Ask both.
Send one prompt to Gemma 3 27B and Llama 3.2 1B Instruct at the same time. Compare the answers side by side and keep the best one.