Llama 3.3 70B API pricing
15 providers serve Llama 3.3 70B. Llama 3.3 70B is an open-weight model (Llama 3.3 Community) with 70B total parameters, up to 131K context. Prices below are per 1M tokens, cheapest input first (self-hosting math further down).
Refreshed 2026-08-23 · list prices from provider APIs| Provider | Input $/1M | Output $/1M | Cache read $/1M | Context | |
|---|---|---|---|---|---|
| OpenRouter marketplace quote | $0.100 | $0.320 | - | 131K | Use |
| Hyperbolic | $0.120 | $0.300 | - | 131K | Use |
| Nebius | $0.130 | $0.400 | - | 128K | Use |
| Novita AI | $0.135 | $0.400 | - | 131K | Use |
| Crusoe | $0.200 | $0.200output floor | - | 131K | Use |
| Nscale | $0.200 | $0.200 | - | - | Use |
| DeepInfra | $0.230 | $0.400 | - | 131K | Use |
| SambaNova | $0.600 | $1.20 | - | 131K | Use |
| OVHcloud | $0.670 | $0.670 | - | 131K | Use |
| Azure AI Foundry | $0.710 | $0.710 | - | 128K | Use |
| IBM watsonx | $0.710 | $0.710 | - | 128K | Use |
| Oracle OCI | $0.720 | $0.720 | - | 128K | Use |
| Vercel AI Gateway | $0.720 | $0.720 | - | 128K | Use |
| Cerebras | $0.850 | $1.20 | - | 128K | Use |
| Scaleway | $0.900 | $0.900 | - | 128K | Use |
The cheapest way to run Llama 3.3 70B
On an illustrative 70M-input / 30M-output monthly workload, today's lowest listed cost is roughly $16.60/month, at OpenRouter. 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 ~$0.376/1M. Details below. Run your own numbers in the breakeven calculator, or read the breakeven math.
Your actual monthly cost
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 3.3 70B self-hosting economics
Llama 3.3 70B is open-weight (Llama 3.3 Community), so the API price above competes with the GPU-hour market. 70B total parameters needs roughly 97 GB VRAM at FP8 or 49 GB at INT4, KV-cache headroom included.
| GPU that fits (FP8, single card) | VRAM | From $/hr | Cheapest at | |
|---|---|---|---|---|
| H200 NVL | 141 GB | $0.500community | RunPod | Rent |
| MI300X | 192 GB | $0.500community | RunPod | Rent |
| H200 | 141 GB | $2.00spot | Verda | |
| B200 | 180 GB | $3.06spot | Verda | |
| B300 | 288 GB | $3.75spot | Verda | |
| GB300 | 288 GB | $4.31spot | Verda |
Related models
| Model | Cheapest in $/1M | Cheapest out $/1M | Providers |
|---|---|---|---|
| Llama 3.1 8B | $0.020 | $0.030 | 15 |
| Llama 4 Scout | $0.050 | $0.100 | 11 |
| Llama 3.1 70B Instruct | $0.120 | $0.300 | 10 |
| Llama 4 Maverick | $0.050 | $0.100 | 9 |
| Llama 3.2 3B | $0.020 | $0.020 | 9 |
| Llama-3-70b | $0.120 | $0.300 | 7 |
FAQ
What is the cheapest API for Llama 3.3 70B?
As of 2026-08-23, the lowest input price for Llama 3.3 70B is OpenRouter at $0.100 per 1M input tokens. The lowest output price, $0.200 per 1M tokens, is likewise shared by Crusoe and Nscale. The cheapest provider for a real workload depends on its input/output mix. The next-lowest input price is Hyperbolic at $0.120, a 20% difference.
How much VRAM do you need to self-host Llama 3.3 70B?
Llama 3.3 70B has 70B parameters, so plan for roughly 97 GB of VRAM at FP8 or 49 GB at INT4/AWQ, KV-cache headroom included. A single H200 NVL (141 GB) fits it.
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