Nano GPT logo
NanoGPT
Provider logo

Gemma 3 27B TEE

TEE/gemma-3-27b-it
BackTry Model
Provider logo

Gemma 3 27B TEE

TEE/gemma-3-27b-it
BackTry Model

Google's Gemma 3 27B instruction-tuned model. running inside a TEE (Trusted Execution Environment), with provider attestation support.

Model weights

Context Window

131.1K

Max Output

8.2K

Input Price (Auto)

$0.20/1M

Output Price (Auto)

$0.80/1M

Cache Read (Auto)

$0.10/1M

Benchmarks

Performance metrics and benchmarks

Sourced from Artificial Analysis.

Intelligence Index

7.4

Better than 22% of models compared

Coding Index

10.1

Better than 10% of models compared

Reasoning

GPQA Diamond

Graduate-level scientific reasoning

42.8%

Better than 19% of models compared

HLE

Humanity's Last Exam

4.4%

Better than 23% of models compared

IFBench

Instruction-following benchmark

31.8%

Better than 18% of models compared

T²-Bench Telecom

Conversational AI agents in dual-control scenarios

10.5%

Better than 7% of models compared

AA-LCR

Long context reasoning evaluation

6.3%

Better than 16% of models compared

Coding

SciCode

Python programming for scientific computing

21.2%

Better than 22% of models compared

Terminal-Bench Hard

Agentic coding and terminal use

3.8%

Better than 26% of models compared

LiveCodeBench

Contamination-free coding benchmark

13.7%

Better than 13% of models compared

Math

AIME 2025

American Invitational Mathematics Examination 2025

20.7%

Better than 22% of models compared

AIME

American Invitational Mathematics Examination

25.3%

Better than 52% of models compared

Math-500

Diverse mathematical problem solving benchmark

88.3%

Better than 59% of models compared

Knowledge

MMLU-Pro

Professional and academic subject knowledge

66.9%

Better than 29% of models compared

Last updated Aug 16, 2026

Artificial Analysis

Providers

Auto routing is available for this model. Explicit provider selection is not available.

Loading provider options…

Compare Gemma 3 27B TEE with similar models from the same provider or model family.

Gemma 3 27B IT

unsloth/gemma-3-27b-it

Gemma 3 has a large, 128K context window, multilingual support in over 140 languages, and is available in more sizes than previous versions.

Amoral Gemma3 27B v2

soob3123/amoral-gemma3-27B-v2

Amoral Gemma3 27B v2 is a 27B parameter model that is a more advanced version of Gemma3 27B.

Gemma 3 12B IT

unsloth/gemma-3-12b-it

Gemma 3 has a large, 128K context window, multilingual support in over 140 languages, and is available in more sizes than previous versions.

Gemma 3 4B IT

unsloth/gemma-3-4b-it

Gemma 3 has a large, 128K context window, multilingual support in over 140 languages, and is available in more sizes than previous versions.

Gemini 3.7 Flash

google/gemini-3.7-flash

Google's frontier-performance Flash model for multimodal and agentic workloads, including coding, tool use, image understanding, PDF and document extraction, audio, and video. Google reports 65.3% on DeepSWE v1.1, up from 49.0% for Gemini 3.6 Flash, and 34% on GDP.pdf, up from 14%.

Gemini 3.5 Flash Lite

google/gemini-3.5-flash-lite

Google's cost-efficient Gemini 3.5 Flash Lite model for high-volume multimodal reasoning, tool use, and structured-output workloads.