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Cheapest LLMs by Price per Token

The cheapest LLMs are the large language models with the lowest API cost per token. Pricing is quoted per million (1M) tokens, with output tokens usually costing more than input. The table below ranks models from lowest to highest output price — a good starting point for high-volume, cost-sensitive workloads where you can trade some quality for price.

Ranked list (top 25)

#ModelInput / 1MOutput / 1MContext
1Ambient Small
AmbientOpen weights
$0.00$0.00101K
2qwen3.8-27b-4q
AmbientOpen weights
$0.00$0.00101K
3KB Whisper
evrocOpen weights
$0.00$0.00448
4Whisper 3 Large
evrocOpen weights
$0.00$0.00448
5Llama 3.1 Nemotron Safety Guard
VultrOpen weights
$0.01$0.018K
6Meta Llama Prompt Guard 2 22M
Helicone
$0.01$0.01512
7Meta Llama Prompt Guard 2 86M
Helicone
$0.01$0.01512
8Qwen3 Embedding 0.6B
NEAR AI CloudOpen weights
$0.01$0.0133K
9Qwen3 Reranker 0.6B
NEAR AI CloudOpen weights
$0.01$0.0141K
10E5 Mistral 7B
STACKITOpen weights
$0.02$0.024K
11PaddleOCR VL
Novita AIOpen weights
$0.02$0.0216K
12DeepSeek-OCR
NovitaAIOpen weights
$0.03$0.038K
13Google Gemma 2
Helicone
$0.01$0.038K
14inclusionAI: Ling-2.6-flash
inclusionAI
$0.01$0.03262K
15Llama 3.1 8B (decentralized)
NanoGPTOpen weights
$0.02$0.03128K
16Llama Prompt Guard 2 22M
GroqOpen weights
$0.03$0.03512
17Llama-Guard-3-8B (Cloudflare)
Eden AIOpen weights
$0.48$0.03131K
18Meta Llama 3.1 8B Instruct Turbo
Helicone
$0.02$0.03128K
19Mistral: Mistral Nemo
Mistral
$0.03$0.03131K
20Qwen3 4B
NovitaAIOpen weights
$0.03$0.03128K
21Qwen3 4B FP8
LLM GatewayOpen weights
$0.03$0.03128K
22Qwen3-ASR Flash
Alibaba
$0.04$0.0453K
23Ministral 3B (latest)
MistralOpen weights
$0.04$0.04131K
24Prompt Guard 2 86M
GroqOpen weights
$0.04$0.04512
25Voxtral Mini 3B 2507 (Amazon Bedrock, US)
Eden AIOpen weights
$0.04$0.0433K

Prices are per 1M tokens (USD); confirm with the provider. Updated regularly.

More LLM rankings

Frequently asked questions

What is the cheapest LLM?

Ranked by output price per 1M tokens, the cheapest LLM currently listed is Ambient Small. Pricing changes often, so check the full ranking above for the latest order.

Is the cheapest LLM good enough?

Cheapest is rarely best for every task. Low-cost models work well for classification, extraction, and high-volume summarization, but frontier reasoning tasks may justify a pricier model. Weigh price against benchmark quality and context window.

Why is output more expensive than input?

Generating tokens (output) is more compute-intensive than reading them (input), so providers price output higher. For cost estimates, weight expected output volume accordingly.