Meta Llama · LLM API pricing
Llama 3.2 3B Instruct API pricing: cheapest provider
7 providers sell Llama 3.2 3B Instruct. Lambda is cheapest; the most expensive charges 8.6× as much for the same model.
- Cheapest$0.0175per 1M · Lambda
- Input · output$0.015 / $0.025per 1M tokens
- Price gap8.6×across 7 providers
- Context131Kmax tokens
Standard list prices in USD from each provider's pricing page · last price change Sep 28, 2026 · How we collect and rank prices
Ranked for your volume
Llama 3.2 3B Instruct monthly cost by provider
Change the monthly tokens and the ranking updates instantly, using each provider's standard list price.
More requirements: caching, context, features, provider
| Provider | Estimated / month | Input / 1M | Output / 1M | Context |
|---|---|---|---|---|
1 LambdaInference provider - lowest for your volumePricing page | $0.20 | $0.015 | $0.025 | 131,072 |
2 DeepInfraInference providerPricing page | $0.24 | $0.02 | $0.02 | 131,072 |
3 Novita AIInference providerPricing page | $0.40 | $0.03 | $0.05 | 32,768 |
4 Together AIInference providerPricing page | $0.72 | $0.06 | $0.06 | 131,072 |
5 Cloudflare Workers AICloud platformPricing page | $1.18 | $0.0509 | $0.335 | 80,000 |
6 Fireworks AIInference providerPricing page | $1.20 | $0.10 | $0.10 | 131,072 |
7 IBM watsonx.aiCloud platformPricing page | $1.80 | $0.15 | $0.15 | 128,000 |
Order depends on listed price for your volume only. No provider pays for its position.
Input volume includes the cached share, not an additional token volume. This is a list-price estimate, not a quote: cache-write charges, cache eligibility/TTL, batch discounts, long-context surcharges, regional pricing and taxes are excluded. Check the provider's terms for your workload before switching.
Price history
The cheapest price has not changed since tracking started on Sep 28, 2026: $0.0175 per 1M tokens at Lambda. All price changes
Switch to the cheapest OpenAI-compatible provider
Already using the OpenAI SDK? Change the base URL, key and model name:
from openai import OpenAI
import os
client = OpenAI(
base_url="https://api.deepinfra.com/v1/openai",
api_key=os.environ["DEEPINFRA_API_KEY"],
)
response = client.chat.completions.create(
model="meta-llama/Llama-3.2-3B-Instruct",
messages=[{"role": "user", "content": "Hello"}],
)Compare Llama 3.2 3B Instruct with another model
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Before you pick a provider
Context windows differ by provider, from 33K to 131K tokens. A cheaper host may not accept your longest prompts.
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