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Llama 3.2 3B API pricing

9 providers serve Llama 3.2 3B. Llama 3.2 3B is an open-weight model (Llama 3.2 Community) with 3.2B total parameters, up to 131K context. Prices below are per 1M tokens, cheapest input first (self-hosting math further down).

Refreshed 2026-10-20 · list prices from provider APIs
Input floor $0.020/1M at DeepInfra Output floor $0.020/1M at DeepInfra Find your workload winner →
Provider Input $/1M Output $/1M Cache read $/1M Context
DeepInfra $0.020 $0.020output floor - 131K Use
Novita AI $0.030 $0.050 - 33K Use
Llamagate $0.040 $0.080 - 131K
Cloudflare $0.051 $0.335 - 80K Use
OpenRouter marketplace quote $0.051 $0.335 - 131K Use
Together AI $0.060 $0.060 - 131K Use
Hyperbolic $0.120 $0.300 - 33K Use
Vercel AI Gateway $0.150 $0.150 - 128K Use
IBM watsonx $0.150 $0.150 - 128K Use

The cheapest way to run Llama 3.2 3B

On an illustrative 70M-input / 30M-output monthly workload, today's lowest listed cost is roughly $2.00/month, at DeepInfra. Input-heavy, output-heavy and cache-heavy workloads can produce different winners. Use the live mix calculator below rather than combining floors from two different providers. On output-token cost alone, the API floor remains below our self-hosting estimate of ~$0.021/1M. Details below. Run your own numbers in the breakeven calculator, or read the breakeven math.

Your actual monthly cost

Uses today's list prices

Cache read uses the listed cache rate where available; otherwise it falls back to normal input price. Batch, write-cache, volume and negotiated discounts are excluded.

Or run it yourself: Llama 3.2 3B self-hosting economics

Llama 3.2 3B is open-weight (Llama 3.2 Community), so the API price above competes with the GPU-hour market. 3.2B total parameters needs roughly 5 GB VRAM at FP8 or 3 GB at INT4, KV-cache headroom included.

GPU that fits (FP8, single card)VRAMFrom $/hrCheapest at
V100 32 GB $0.081marketplace Vast.ai Rent
RTX 3090 24 GB $0.118marketplace Vast.ai Rent
RTX A2000 6 GB $0.120community RunPod Rent
RTX 3070 8 GB $0.130community RunPod Rent
RTX 4090 24 GB $0.156marketplace Vast.ai Rent
RTX A5000 24 GB $0.160community RunPod Rent
Breakeven estimate: a well-batched vLLM deployment on one V100 ($0.081/hr) at ~2109 aggregate tok/s and 50% utilization works out to roughly $0.021 per 1M output tokens, versus $0.020 via the cheapest output-token API (DeepInfra). The API is cheaper unless your utilization or throughput beats these assumptions. Planning estimate: throughput varies with hardware, quantization, batch size and context. Tune it in the calculator.

Related models

ModelCheapest in $/1MCheapest out $/1MProviders
Llama 3.3 70B $0.100 $0.200 18
Llama 3.1 8B $0.020 $0.030 13
Llama 3.1 70B Instruct $0.120 $0.300 10
Llama 4 Scout $0.050 $0.100 9
Llama 4 Maverick $0.050 $0.100 8
Llama-3-70b $0.120 $0.300 6

FAQ

What is the cheapest API for Llama 3.2 3B?

As of 2026-10-20, the lowest input price for Llama 3.2 3B is DeepInfra at $0.020 per 1M input tokens. The lowest output price is DeepInfra at $0.020 per 1M output tokens. The cheapest provider for a real workload depends on its input/output mix. The next-lowest input price is Novita AI at $0.030, a 50% difference.

How much VRAM do you need to self-host Llama 3.2 3B?

Llama 3.2 3B has 3.2B parameters, so plan for roughly 5 GB of VRAM at FP8 or 3 GB at INT4/AWQ, KV-cache headroom included. A single V100 (32 GB) fits it.

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