⚡Under $0.50/hr🧠VRAM Estimator⚖Compare GPUs🎁Free LLM APIs🎯Model Index
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Gemma 3 12B

Comprehensive deployment profile and benchmark telemetry for Gemma 3 12B. Self-hosting memory footprints, verified token economics, and direct API endpoints.

Verified Engineering Benchmarks

SWE-bench
49.2%
LiveCodeBench
65.9%
MATH-500
97.3%
MMLU
90.8%

VRAM Requirements & Sizing

FP16 Weights
24 GB
INT4 / GGUF (Quantized)
8 GB
Recommended GPU
1x L40S
🔗 Quick Actions
🖥️ Compatible GPUs & Self-Host Pricing

Deterministic VRAM math from entity graph. Green = fits in single GPU.

GPUVRAMFP16FP8INT4Calculator Link
H100 SXM580 GB✓ fits✓ fits✓ fitsPre-filled →
H200141 GB✓ fits✓ fits✓ fitsPre-filled →
B200192 GB✓ fits✓ fits✓ fitsPre-filled →
A100 80GB80 GB✓ fits✓ fits✓ fitsPre-filled →
L40S48 GB✓ fits✓ fits✓ fitsPre-filled →
RTX 409024 GB✓ fits✓ fits✓ fitsPre-filled →

Active API Providers & Free Tiers

ProviderInput / 1MOutput / 1MSpeedFree Tier Status
Groq$0.07$0.07400 tok/s⚡ 30 RPM / 14,400 RPD
DeepInfra$0.07$0.07120 tok/sPaid API Only
OpenRouter$0.07$0.07130 tok/sPaid API Only

OpenAI SDK Drop-in

import OpenAI from "openai";

const client = new OpenAI({
  baseURL: "https://api.groq.com/openai/v1",
  apiKey: process.env.GROQ_API_KEY,
});

const response = await client.chat.completions.create({
  model: "gemma-3-12b",
  messages: [{ role: "user", content: "Hello" }],
});

What should I do next?