GPT-OSS 120B API pricing
21 providers serve GPT-OSS 120B. GPT-OSS 120B is an open-weight model (Apache-2.0) with 117B total parameters, 5.1B active per token (mixture-of-experts), up to 131K context. Prices below are per 1M tokens, cheapest input first (self-hosting math further down).
Refreshed 2026-08-28 · list prices from provider APIs| Provider | Input $/1M | Output $/1M | Cache read $/1M | Context | |
|---|---|---|---|---|---|
| W&B Inference | $0.030 | $0.170output floor | - | 131K | Use |
| DeepInfra | $0.037 | $0.170 | - | 131K | Use |
| Novita AI | $0.050 | $0.250 | - | 131K | Use |
| OVHcloud | $0.080 | $0.400 | - | 131K | Use |
| Google Vertex AI | $0.090 | $0.360 | - | 131K | Use |
| Baseten | $0.100 | $0.500 | - | - | Use |
| Azure AI Foundry | $0.150 | $0.600 | - | 131K | Use |
| Databricks | $0.150 | $0.600 | $0.150 | 131K | Use |
| Fireworks AI | $0.150 | $0.600 | $0.015 | 131K | Use |
| Groq | $0.150 | $0.600 | $0.075 | 131K | Use |
| Together AI | $0.150 | $0.600 | - | 131K | Use |
| IBM watsonx | $0.150 | $0.600 | - | 8K | Use |
| Scaleway | $0.150 | $0.600 | - | 128K | Use |
| AWS Bedrock | $0.150 | $0.600 | - | 131K | Use |
| Tensormesh | $0.150 | $0.600 | - | 131K | |
| OpenRouter | $0.180 | $0.800 | - | 131K | Use |
| Replicate | $0.180 | $0.720 | - | - | Use |
| SambaNova | $0.220 | $0.590 | - | 131K | Use |
| Cerebras | $0.350 | $0.750 | - | 131K | Use |
| Cloudflare | $0.350 | $0.750 | - | 128K | Use |
| Crusoe | $0.800 | $0.800 | - | 131K | Use |
The cheapest way to run GPT-OSS 120B
On an illustrative 70M-input / 30M-output monthly workload, today's lowest listed cost is roughly $7.20/month, at W&B Inference. 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, a busy self-hosted deployment can work out cheaper (~$0.035/1M output on MI300X). See the math 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: GPT-OSS 120B self-hosting economics
GPT-OSS 120B is open-weight (Apache-2.0), so the API price above competes with the GPU-hour market. 117B total parameters (MoE, ~5.1B active per token) needs roughly 161 GB VRAM at FP8 or 81 GB at INT4, KV-cache headroom included.
| GPU that fits (FP8, single card) | VRAM | From $/hr | Cheapest at | |
|---|---|---|---|---|
| MI300X | 192 GB | $0.500community | RunPod | Rent |
| 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 |
|---|---|---|---|
| GPT-OSS 20B | $0.015 | $0.070 | 15 |
| GPT-5 | $1.25 | $10.00 | 8 |
| GPT-5 Mini | $0.250 | $1.20 | 7 |
| GPT-5 Nano | $0.050 | $0.400 | 7 |
| GPT-4o | $2.50 | $10.00 | 6 |
| GPT-4o-Mini | $0.150 | $0.600 | 6 |
FAQ
What is the cheapest API for GPT-OSS 120B?
As of 2026-08-28, the lowest input price for GPT-OSS 120B is W&B Inference at $0.030 per 1M input tokens. The lowest output price, $0.170 per 1M tokens, is likewise shared by W&B Inference and DeepInfra. The cheapest provider for a real workload depends on its input/output mix. The next-lowest input price is DeepInfra at $0.037, a 23% difference.
How much VRAM do you need to self-host GPT-OSS 120B?
GPT-OSS 120B has 117B parameters, so plan for roughly 161 GB of VRAM at FP8 or 81 GB at INT4/AWQ, KV-cache headroom included. A single MI300X (192 GB) fits it.
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