Bitcoin.com AI logo
Provider logo

Gemma 3 4B IT

unsloth/gemma-3-4b-it
BackTry Model
Provider logo

Gemma 3 4B IT

unsloth/gemma-3-4b-it
BackTry Model

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

Model weights

Context Window

128.0K

Max Output

8.2K

Input Price (Auto)

$0.20/1M

Output Price (Auto)

$0.20/1M

Cache Read (Auto)

$0.10/1M

Capabilities

Benchmarks

Performance metrics and benchmarks

Sourced from Artificial Analysis.

Intelligence Index

1.0

Better than 8% of models compared

Coding Index

2.7

Better than 1% of models compared

Reasoning

GPQA Diamond

Graduate-level scientific reasoning

29.1%

Better than 5% of models compared

HLE

Humanity's Last Exam

5.3%

Better than 34% of models compared

IFBench

Instruction-following benchmark

28.3%

Better than 12% of models compared

T²-Bench Telecom

Conversational AI agents in dual-control scenarios

5.0%

Better than 6% of models compared

AA-LCR

Long context reasoning evaluation

6.7%

Better than 14% of models compared

Coding

SciCode

Python programming for scientific computing

7.3%

Better than 0% of models compared

Terminal-Bench Hard

Agentic coding and terminal use

0.8%

Better than 13% of models compared

LiveCodeBench

Contamination-free coding benchmark

11.2%

Better than 9% of models compared

Math

AIME 2025

American Invitational Mathematics Examination 2025

12.7%

Better than 15% of models compared

AIME

American Invitational Mathematics Examination

6.3%

Better than 22% of models compared

Math-500

Diverse mathematical problem solving benchmark

76.6%

Better than 39% of models compared

Knowledge

MMLU-Pro

Professional and academic subject knowledge

41.7%

Better than 9% of models compared

Last updated Aug 17, 2026

Artificial Analysis

Providers

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

Loading provider options…

Compare Gemma 3 4B IT with similar models from the same provider or model family.

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 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.

Gemini 3.8 Flash

google/gemini-3.8-flash

Google's fast multimodal model for agentic workloads, including coding, tool use, image understanding, PDF and document extraction, audio, and video. Its capabilities, limits, reasoning behavior, and pricing currently mirror Gemini 3.7 Flash.

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.

Gemini 3.6 Flash

google/gemini-3.6-flash

Google's GA Flash model delivers near-Pro coding and agentic capability at Flash-tier speed and cost, with improved token efficiency over Gemini 3.5 Flash. It is optimized for multi-step orchestration, full-stack code refactoring, general reasoning, and multimodal workflows.