GPT-OSS 120B
gpt-oss-120bOpenAI open-weight 120B MoE for capable reasoning, coding, and general-purpose work.
CONTEXT131KINPUT / 1M$0.14OUTPUT / 1M$0.57Run GPT-OSS, Qwen, Llama, and DeepSeek through one OpenAI-compatible API. Stream responses, switch models with one parameter, and see exactly what each request costs.
Usage-based pricing. No recurring subscription, seat fee, or monthly minimum spend.
/v1Keep the request shape your application already understands. Choose the model in the request, stream the answer, and read standard token usage in the response.
POST /v1/chat/completionsMODELdeepseek-v4-flashRESPONSEchat.completion.chunkUse a public model ID in every request. The model you select is the model that responds.
Compare model pricinggpt-oss-120bOpenAI open-weight 120B MoE for capable reasoning, coding, and general-purpose work.
CONTEXT131KINPUT / 1M$0.14OUTPUT / 1M$0.57qwen3-30bFast multilingual MoE with strong tool use and agentic performance.
CONTEXT41KINPUT / 1M$0.11OUTPUT / 1M$0.47llama-3.3-70bMeta's proven 70B instruction model for dependable general-purpose workloads.
CONTEXT131KINPUT / 1M$0.56OUTPUT / 1M$0.75deepseek-v4-flashFast, efficient reasoning and coding with a one-million-token context window.
CONTEXT1MINPUT / 1M$0.13OUTPUT / 1M$0.26Point your existing OpenAI client at Adola, use your Adola API key, and choose the model for the work in front of you.
Copy the quickstartfrom openai import OpenAI
client = OpenAI(
base_url="https://api.adola.app/v1",
api_key="adola_...",
)
stream = client.chat.completions.create(
model="gpt-oss-120b",
messages=[...],
stream=True,
)Add a payment method once, then pay only for successfully metered usage at the selected model's published rate.