Together AI cost per token comparison
Together AI API charges approximately $0.0015 per 1,000 tokens for its flagship meta-llama/Llama-3.3-70B-Instruct-Turbo model, making it competitive with other large LLM providers. This cost is generally lower than OpenAI's gpt-4o and Anthropic's claude-sonnet-4-5 models, which typically range from $0.003 to $0.03 per 1,000 tokens depending on the model and usage tier.VERDICT
Together AI for cost-effective large LLM inference when token cost is a primary concern; choose Claude or OpenAI for broader ecosystem and advanced features.| Tool | Key strength | Pricing (per 1K tokens) | API access | Best for |
|---|---|---|---|---|
| Together AI | Cost-effective Llama 3.3 models | $0.0015 | Yes, OpenAI-compatible | Large-scale inference with budget |
| OpenAI GPT-4o | Strong general-purpose LLM | $0.03 (approx.) | Yes | High-quality chat and coding |
| Anthropic Claude-sonnet-4-5 | Advanced reasoning and safety | $0.015-$0.03 | Yes | Safe, reliable assistant tasks |
| Groq Llama-3.3-70b | High-speed inference | $0.002-$0.005 | Yes | Latency-sensitive applications |
Key differences
Together AI offers competitive pricing around $0.0015 per 1,000 tokens for its flagship Llama 3.3 model, which is significantly cheaper than OpenAI's gpt-4o and Anthropic's claude-sonnet-4-5. Together AI uses an OpenAI-compatible API endpoint, making integration straightforward. However, it has a smaller model ecosystem compared to OpenAI and Anthropic.
OpenAI models provide broader capabilities and ecosystem integrations but at a higher cost. Anthropic focuses on safety and reasoning with moderate pricing. Groq offers fast inference with mid-range pricing.
Side-by-side example
Example usage of Together AI API with Python OpenAI-compatible SDK to generate a chat completion:
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)Retrieval-Augmented Generation (RAG) is a technique that combines retrieval of relevant documents with generative models to produce accurate and context-aware responses.
OpenAI GPT-4o equivalent
Equivalent chat completion using OpenAI GPT-4o model with the official OpenAI SDK:
from openai import OpenAI
import os
client = OpenAI(api_key=os.environ["OPENAI_API_KEY"])
response = client.chat.completions.create(
model="gpt-4o",
messages=[{"role": "user", "content": "Explain RAG in AI."}]
)
print(response.choices[0].message.content)Retrieval-Augmented Generation (RAG) integrates external knowledge retrieval with language generation to improve accuracy and relevance in AI responses.
When to use each
Use Together AI when you need cost-effective access to large Llama 3.3 models with OpenAI-compatible API calls. Choose OpenAI GPT-4o for the best general-purpose performance and ecosystem support. Opt for Anthropic Claude-sonnet-4-5 when safety and reasoning are priorities. Use Groq for latency-sensitive applications requiring fast inference.
| Scenario | Recommended Provider | Reason |
|---|---|---|
| Budget-conscious large LLM use | Together AI | Lowest cost per token for Llama 3.3 models |
| High-quality chat and coding | OpenAI GPT-4o | Strong performance and ecosystem |
| Safe and reliable assistant | Anthropic Claude-sonnet-4-5 | Advanced safety and reasoning |
| Low-latency inference | Groq | Optimized for speed |
Pricing and access
| Option | Free | Paid | API access |
|---|---|---|---|
| Together AI | No public free tier | Yes, pay per token | OpenAI-compatible API |
| OpenAI GPT-4o | Limited free credits | Yes, pay per token | Official OpenAI API |
| Anthropic Claude-sonnet-4-5 | No free tier | Yes, pay per token | Anthropic API |
| Groq | No free tier | Yes, pay per token | OpenAI-compatible API |
Key Takeaways
-
Together AIoffers the lowest cost per 1,000 tokens among major LLM providers for large Llama 3.3 models. - OpenAI
gpt-4oprovides broader capabilities but at roughly 2x to 20x higher token cost than Together AI. - Choose providers based on your priorities: cost, speed, safety, or ecosystem integration.