Last refreshed 2026-06-01. Next refresh: weekly.
Why use SOLAR 10.7B on Fireworks AI?
Fireworks AI offers SOLAR 10.7B with pay-as-you-go pricing at $0.20/1M input tokens. Fireworks AI offers a generative AI platform as a service, focusing on rapid product iteration and cost-efficient AI deployment.
Compare SOLAR 10.7B across 5 providers to find the best fit for your use caseSetup recipe
Python + curlpip install openaiexport FIREWORKS_API_KEY=...import os
from openai import OpenAI
client = OpenAI(
api_key=os.environ["FIREWORKS_API_KEY"],solar-10.7bRequest example
import os
from openai import OpenAI
client = OpenAI(
api_key=os.environ["FIREWORKS_API_KEY"],
base_url="https://api.fireworks.ai/inference/v1"
)
response = client.chat.completions.create(
model="solar-10.7b",
messages=[{"role": "user", "content": "Hello"}]
)
print(response.choices[0].message.content)Gotchas
- Fireworks model IDs use "accounts/fireworks/models/{model-name}" format, e.g. "accounts/fireworks/models/llama4-scout-instruct-basic" or "accounts/fireworks/models/deepseek-r1".
- The examples expect FIREWORKS_API_KEY; rename it only if your application config maps the new variable.
Compare SOLAR 10.7B Across Providers
| Provider | Input (per 1M) | Output (per 1M) |
|---|---|---|
| NVIDIA NIM | — | — |
| Together AI | $0.30 | $0.30 |
| Upstage Console | $0.15 | $0.60 |
| Microsoft Foundry | $0.52 | $0.67 |
| Fireworks AI | $0.20 | $0.20 |
Pricing
| Type | Price (per 1M) |
|---|---|
| Input tokens | $0.20 |
| Output tokens | $0.20 |
Capabilities
About SOLAR 10.7B
SOLAR 10.7B is a robust large language model created by Upstage AI in South Korea, featuring 10.7 billion parameters. It is tailored for high efficiency and performance through its innovative "Depth Up-Scaling" (DUS) approach, which deepens the model's layers rather than widening them, allowing for enhanced capabilities without significantly increasing computational costs. This method distinguishes it from other models that utilize more complex techniques like Mixture of Experts. By integrating pre-trained weights from the Mistral 7B model with the Llama 2 framework, SOLAR 10.7B achieves notable performance, outpacing even some models with up to 30 billion parameters.