Cheapest Hugging Face Inference for Llama 3.1 405B (2026)

Cheapest Hugging Face Inference for Llama 3.1 405B (2026)

Last Updated: January 2026

Looking for the cheapest way to run Llama 3.1 405B inference? You're in the right place. This comprehensive guide compares every major inference provider, from Hugging Face's native options to direct API providers and self-hosting costs.

💡 Quick Answer: DeepInfra offers the lowest pricing at $0.80 per million tokens. For speed-critical applications, Cerebras delivers 969 tokens/second at $6/$12 per million tokens. Self-hosting rarely makes economic sense unless you process 10B+ tokens monthly.

Table of Contents

• Llama 405B Market Overview 2026
• Hugging Face Inference Options
• API Provider Pricing Comparison
• Self-Hosting GPU Costs
• Technical Requirements
• Free Tier Options
• Performance Benchmarks
• Cost Calculation Examples
• Conclusion: Best Choice by Use Case

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Llama 405B Market Overview 2026

The Llama 3.1 405B inference landscape has changed dramatically since Meta's July 2024 release. Several major providers have discontinued support or been acquired:

Provider	Status	Notes
Together AI	❌ Discontinued	Redirected to smaller models
OctoAI	❌ Acquired	NVIDIA acquisition, services ended Oct 2024
Groq	⚠️ Limited	Focus shifted to Llama 4 models
Anyscale	⚠️ Enterprise Only	Public endpoints discontinued Aug 2024

This consolidation means fewer providers—but those remaining have optimized aggressively on price and performance.

ℹ️ Market Shift: Many developers now consider Llama 3.3 70B (which matches 405B performance on many benchmarks) or Llama 4 Maverick as cost-effective alternatives.

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Hugging Face Inference Options

Hugging Face offers three distinct paths to run Llama 3.1 405B inference:

1. Inference Providers (Recommended for Most Users)

Hugging Face's Inference Providers acts as a unified proxy layer connecting to 15+ inference partners with zero markup. You pay provider rates directly through your HF token.

Available Providers for 405B:

Provider	Input Price (per 1M tokens)	Output Price (per 1M tokens)	Speed
Fireworks AI	$0.90	$0.90	~80 tok/s
SambaNova	$5.00	$10.00	132 tok/s
Cerebras	$6.00	$12.00	969 tok/s

Monthly Credits:

• Free users: $0.10/month
• PRO subscribers ($9/month): $2.00/month + pay-as-you-go

# Example: Using HuggingFace Inference Providers
from huggingface_hub import InferenceClient

client = InferenceClient(
    model="meta-llama/Meta-Llama-3.1-405B-Instruct",
    provider="fireworks-ai"  # or "sambanova", "cerebras"
)

response = client.chat.completions.create(
    messages=[{"role": "user", "content": "Hello!"}],
    max_tokens=500
)

2. Inference Endpoints (Dedicated Infrastructure)

For dedicated GPU clusters with guaranteed availability:

Configuration	Cloud	Hourly Rate	Monthly (24/7)
8× A100 80GB	AWS	$20.00/hr	~$14,600
8× H100 80GB	AWS	$36.00/hr	~$26,280
8× H200 141GB	AWS	$40.00/hr	~$29,200
8× H100 80GB	GCP	$80.00/hr	~$58,400

⚠️ Scale-to-Zero Available: Endpoints not actively serving requests incur no charges when paused. This makes dedicated endpoints viable for variable workloads.

3. HuggingFace PRO Subscription

The $9/month PRO plan provides:

• 20× more inference credits ($2.00 vs $0.10)
• Priority queue access
• 8× higher ZeroGPU quota

Best for: Developers testing 405B occasionally without committing to pay-per-use pricing.

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API Provider Pricing Comparison

Tier 1: Budget Options (Under $1/M Tokens)

DeepInfra — Cheapest Option

Pricing: $0.80 per million tokens (input and output)

DeepInfra offers the lowest per-token pricing for Llama 3.1 405B. However, low demand has led them to redirect requests to NousResearch/Hermes-3-Llama-3.1-405B at $1.00/$1.00 per million tokens.

# DeepInfra API Example
curl -X POST "https://api.deepinfra.com/v1/openai/chat/completions" \
  -H "Authorization: Bearer $DEEPINFRA_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "meta-llama/Meta-Llama-3.1-405B-Instruct",
    "messages": [{"role": "user", "content": "Hello!"}]
  }'

Fireworks AI — Best Balance

Pricing: $0.90 per million tokens (input and output)

Fireworks provides:

• $1 free credits for new users
• 50% discount for cached input tokens
• 50% discount for batch inference

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Tier 2: Speed-Optimized ($5-12/M Tokens)

SambaNova — Speed + Value Balance

Pricing: $5.00 input / $10.00 output per million tokens

• 132 tokens/second in full 16-bit precision
• $5 free credits (3-month expiry)
• Custom SN40L chips optimized for inference

Cerebras — Fastest Available

Pricing: $6.00 input / $12.00 output per million tokens

• 969 tokens/second — world record for 405B
• 240ms time-to-first-token
• Up to 75× faster than standard GPU deployments

💡 When Speed Matters: For voice AI, real-time agents, or latency-sensitive applications, Cerebras's speed advantage often justifies the higher per-token cost.

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Tier 3: Enterprise Cloud Providers

Provider	Input (per 1M)	Output (per 1M)	Batch Discount
AWS Bedrock	$5.32	$16.00	50%
Azure AI	$5.33	$16.00	Available
Google Cloud Vertex	~$5.00	~$15.00	Available

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Complete Pricing Comparison Table

Provider	Input/1M	Output/1M	Speed	Free Tier
DeepInfra	$0.80	$0.80	~50 tok/s	$1.80 credits
Fireworks AI	$0.90	$0.90	~80 tok/s	$1 credits
SambaNova	$5.00	$10.00	132 tok/s	$5 credits
Cerebras	$6.00	$12.00	969 tok/s	Trial access
AWS Bedrock	$5.32	$16.00	~30 tok/s	None
Azure AI	$5.33	$16.00	~30 tok/s	None

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Self-Hosting GPU Costs

GPU Cloud Pricing (8×H100 Configuration)

Running Llama 3.1 405B requires significant GPU resources. Here's what self-hosting costs:

Provider	On-Demand/hr	Spot/Community	Billing
RunPod	~$21.50	~$16.00	Per-second
Lambda Labs	~$23.92	N/A	Per-minute
Vast.ai	~$15-28	Marketplace	Variable
Modal	~$31.60	N/A	Serverless
AWS P5	~$31.12	~$15-20	Hourly
Azure ND H100	~$55.84	~$22-30	Hourly

Break-Even Analysis: API vs Self-Hosting

⚠️ Self-hosting rarely makes economic sense for most users.

The Math:

• DeepInfra API: $0.80 per million tokens
• Self-hosted 8×H100 (mid-range): ~$15,000/month
• Break-even point: 18.75 billion tokens/month

That's equivalent to:

• 625 million tokens per day
• ~2 million words daily
• ~26,000 tokens per minute continuously

Self-hosting only makes sense if you:

• Process 10B+ tokens monthly
• Have ultra-high security requirements
• Need custom model modifications
• Are building for educational purposes

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Technical Requirements

GPU Memory Requirements by Precision

Precision	VRAM Required	Minimum Configuration
FP16/BF16	~810 GB	16× H100 80GB (2 nodes)
FP8	~486 GB	8× H100 80GB
INT4 (AWQ/GPTQ)	~203 GB	8× A100 80GB

Quantized Versions on HuggingFace

For self-hosting with reduced hardware requirements:

Model	Quantization	Size	Hardware Fit
meta-llama/Meta-Llama-3.1-405B-Instruct-FP8	FP8	~486GB	8×H100
hugging-quants/Meta-Llama-3.1-405B-Instruct-AWQ-INT4	AWQ INT4	~203GB	8×A100
hugging-quants/Meta-Llama-3.1-405B-Instruct-GPTQ-INT4	GPTQ INT4	~203GB	8×A100

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Free Tier Options

Several providers offer free access to test Llama 3.1 405B:

Provider	Free Credits	Rate Limits	Expiry
OpenRouter	Free tier	20 req/min, 50 req/day	None
SambaNova	$5 credits	8K context limit	3 months
Hyperbolic	$1 credits	200 req/min	None
Fireworks AI	$1 credits	Standard	None
DeepInfra	$1.80 credits	Standard	None

# OpenRouter Free Tier Example
import openai

client = openai.OpenAI(
    base_url="https://openrouter.ai/api/v1",
    api_key="your-openrouter-key"
)

response = client.chat.completions.create(
    model="meta-llama/llama-3.1-405b-instruct:free",
    messages=[{"role": "user", "content": "Hello!"}]
)

---

Performance Benchmarks

Tokens Per Second Comparison

Provider	Tokens/Second	Time to First Token
Cerebras	969	240ms
SambaNova	132	~500ms
Fireworks (Turbo)	69-80	~800ms
DeepInfra	~50	~1s
Self-hosted vLLM (8×H100)	10-20	1-5s

ℹ️ Note: Cerebras achieves its speed advantage through custom WSE-3 wafer-scale chips rather than traditional GPUs—offering 7,000× faster memory bandwidth than H100.

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Cost Calculation Examples

Scenario 1: Light Usage

10,000 requests/month (500 input + 200 output tokens each)

Provider	Monthly Cost
DeepInfra	$5.60
Fireworks AI	$6.30
SambaNova	$45.00
Cerebras	$54.00

Scenario 2: Production Workload

100,000 requests/month (same token distribution)

Provider	Monthly Cost
DeepInfra	$56
Fireworks AI	$63
AWS Bedrock	$586
Self-hosted 8×H100	$15,000-22,000

Cost Calculator Formula

Monthly Cost = (Input Tokens × Input Price) + (Output Tokens × Output Price)

Example (1M tokens in, 500K tokens out on DeepInfra):
= (1,000,000 × $0.0000008) + (500,000 × $0.0000008)
= $0.80 + $0.40
= $1.20/month

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Conclusion: Best Choice by Use Case

Recommended Providers by Priority

Priority	Best Choice	Why
Lowest Cost	DeepInfra ($0.80/M)	Unbeatable per-token pricing
Best Balance	Fireworks AI ($0.90/M)	Good speed + low cost + free credits
Maximum Speed	Cerebras ($6/$12/M)	969 tok/s, 240ms TTFT
HF Ecosystem	HF Inference Providers	Unified access, no markup
Enterprise	AWS Bedrock	Compliance, integration, support

Decision Flowchart

1. Need maximum speed? → Cerebras
2. Budget-constrained? → DeepInfra or Fireworks
3. Processing 10B+ tokens/month? → Consider self-hosting
4. Need HuggingFace integration? → Inference Providers
5. Enterprise compliance required? → AWS Bedrock or Azure AI

Consider Alternatives

Before committing to 405B, evaluate whether you actually need it:

• Llama 3.3 70B: Matches 405B on many benchmarks at 70-85% lower cost
• Llama 4 Maverick: Newer architecture with improved efficiency
• DeepSeek V3: Competitive performance at significantly lower cost

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Frequently Asked Questions

What is the cheapest way to run Llama 3.1 405B?

The cheapest API option is DeepInfra at $0.80 per million tokens. For occasional testing, use free tier credits from OpenRouter, SambaNova, or Fireworks AI.

How much GPU memory does Llama 405B need?

In full FP16 precision, Llama 3.1 405B requires approximately 810GB of VRAM (16× H100 80GB). With FP8 quantization, this drops to ~486GB (8× H100). INT4 quantization reduces requirements to ~203GB (8× A100 80GB).

Is self-hosting Llama 405B cheaper than API?

Only if you process more than 18 billion tokens per month. Below this threshold, API providers like DeepInfra offer better economics with zero infrastructure overhead.

Which provider has the fastest Llama 405B inference?

Cerebras holds the speed record at 969 tokens per second with 240ms time-to-first-token—up to 75× faster than standard GPU deployments.

Does Hugging Face charge extra for Inference Providers?

No. Hugging Face passes through provider costs directly with zero markup. You pay exactly what the underlying provider charges.

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Related Resources

• Hugging Face Inference Endpoints Pricing
• LLM API Cost Comparison Calculator
• GPU Cloud Pricing Guide 2026
• Llama 3.3 70B vs 405B: Which Should You Use?

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Prices verified January 2026. AI model pricing changes frequently—always verify current rates on provider websites before making decisions.