Together AI vs Fireworks AI comparison
Together AI for access to Meta Llama 3.3 models with strong instruction tuning and fast inference. Choose Fireworks AI for a broader model selection including Llama v3.3 and DeepSeek models, with competitive speed and versatility via OpenAI-compatible APIs.VERDICT
Together AI is the winner. For broader model variety and slightly faster inference options, Fireworks AI is preferable.| Tool | Key strength | Pricing | API access | Best for |
|---|---|---|---|---|
| Together AI | Meta Llama 3.3 instruction-tuned models | Check pricing at https://together.xyz/pricing | OpenAI-compatible API with base_url https://api.together.xyz/v1 | Instruction-tuned Llama 3.3 use cases |
| Fireworks AI | Wide model variety incl. Llama v3.3 & DeepSeek | Check pricing at https://fireworks.ai/pricing | OpenAI-compatible API with base_url https://api.fireworks.ai/inference/v1 | Versatile LLM access with speed focus |
| Together AI | Strong community and ecosystem | Freemium with API key required | Supports chat completions with tools parameter | Developers needing stable Llama 3.3 API |
| Fireworks AI | Competitive inference speed | Freemium with API key required | Supports chat completions with tools parameter | Multi-model experimentation and production |
Key differences
Together AI specializes in Meta Llama 3.3 instruction-tuned models optimized for chat and instruction tasks, providing a focused, stable API experience. Fireworks AI offers a broader model catalog including Llama v3.3, DeepSeek-R1, and Mixtral models, catering to diverse use cases with competitive inference speed. Both use OpenAI-compatible APIs but differ in model variety and ecosystem maturity.
Side-by-side example
Here is how to call the chat completion endpoint on Together AI to generate a response:
from openai import OpenAI
import os
client = OpenAI(api_key=os.environ["TOGETHER_API_KEY"], base_url="https://api.together.xyz/v1")
response = client.chat.completions.create(
model="meta-llama/Llama-3.3-70B-Instruct-Turbo",
messages=[{"role": "user", "content": "Explain RAG in AI."}]
)
print(response.choices[0].message.content)RAG (Retrieval-Augmented Generation) is a technique that combines retrieval of relevant documents with generative models to improve accuracy and context in AI responses.
Fireworks AI equivalent
Equivalent chat completion call on Fireworks AI using their OpenAI-compatible API:
from openai import OpenAI
import os
client = OpenAI(api_key=os.environ["FIREWORKS_API_KEY"], base_url="https://api.fireworks.ai/inference/v1")
response = client.chat.completions.create(
model="accounts/fireworks/models/llama-v3p3-70b-instruct",
messages=[{"role": "user", "content": "Explain RAG in AI."}]
)
print(response.choices[0].message.content)RAG stands for Retrieval-Augmented Generation, a method that enhances language models by retrieving relevant information to generate more accurate and context-aware responses.
When to use each
Use Together AI when you need a stable, instruction-tuned Meta Llama 3.3 model with a straightforward API for chat and instruction tasks. Opt for Fireworks AI if you require access to a wider variety of models including DeepSeek and Mixtral, or if you prioritize inference speed and multi-model experimentation.
| Scenario | Recommended Tool |
|---|---|
| Instruction-tuned Llama 3.3 chatbots | Together AI |
| Multi-model experimentation and speed | Fireworks AI |
| Stable API with strong community | Together AI |
| Access to DeepSeek and Mixtral models | Fireworks AI |
Pricing and access
Both platforms require API keys and offer freemium access with usage-based pricing. Check their official pricing pages for the latest details.
| Option | Together AI | Fireworks AI |
|---|---|---|
| Free tier | Yes, limited usage | Yes, limited usage |
| Paid plans | Usage-based pricing | Usage-based pricing |
| API access | OpenAI-compatible with base_url https://api.together.xyz/v1 | OpenAI-compatible with base_url https://api.fireworks.ai/inference/v1 |
| Model updates | Regular Llama 3.3 improvements | Frequent new models added |
Key Takeaways
- Use
Together AIfor instruction-tuned Meta Llama 3.3 models with stable API access. - Choose
Fireworks AIfor broader model variety including DeepSeek and faster inference. - Both platforms use OpenAI-compatible APIs, easing integration.
- Pricing is usage-based with freemium tiers; verify current rates on official sites.
- Fireworks AI suits multi-model experimentation; Together AI excels in focused Llama 3.3 deployments.