Together vs Fireworks vs Groq
Together vs Fireworks vs Groq
All three run open models on their own hardware and none states a platform fee. Together adds fine-tuning and GPU clusters, Fireworks documents an Anthropic endpoint and keeps open-model prompts out of its logs by default, and Groq is built for speed on a short list of models. FullsendAI isn't a fourth GPU cloud: it's one key with a web chat and a coding agent, in the USA.
Which one fits
Choose Together AI if…
- You also want to fine-tune, or rent dedicated endpoints and GPU clusters, in one place.
Choose Fireworks AI if…
- You want an Anthropic-compatible endpoint, a documented no-logging default for open models, and SOC 2 Type II.
Choose Groq if…
- Speed on one of its few models matters most. Its list: 2 self-serve text models (plus speech); Llama models enterprise-only.
Choose FullsendAI if…
- You want one key and balance for the API, a web chat and your coding agents, with crypto payments and every model in the USA.
At a glance
Each cell links to its source and the date we checked it.
What it is
OpenAI-compatible API
Anthropic Messages API
Claude, GPT and Gemini
Routing and failover
Batch discount
Desktop coding agent
Own tuned models
| Feature | FullsendAI | Together AI | Fireworks AI | Groq |
|---|---|---|---|---|
| What it is | One API key, a web chat and one-command setup for coding agents | Inference, fine-tuning and GPU clusters for open modelsSource · | Serverless and dedicated inference, fine-tuningSource · | Inference on its own LPU chipsSource · |
| OpenAI-compatible API | Yes (Chat Completions) | YesSource · | YesSource · | YesSource · |
| Anthropic Messages API | Yes; works with Claude Code | Not documentedSource · | YesSource · | Not documentedSource · |
| Claude, GPT and Gemini | Not yet | No (open models)Source · | No (open models)Source · | NoSource · |
| Routing and failover | We pick the host, with automatic failover; no provider controls | Single host; dedicated endpoints availableSource · | Single host; Priority tier at a higher priceSource · | Single hostSource · |
| Batch discount | No batch API yet | See their batch docs (discount varies by model)Source · | 50% offSource · | See their batch docsSource · |
| Desktop coding agent | Not yet: one command sets up Claude Code, Codex and more | NoSource · | NoSource · | NoSource · |
| Own tuned models | Nef 4.0 and Sifu 3.5, tuned for security research and code | NoSource · | NoSource · | NoSource · |
Prices, model for model
USD per million tokens, input / output, standard tier. “Not listed” means the model wasn't on that host's price list on the date shown.
DeepSeek V4.1 FlashDeepSeek
GLM 5.3 FlashZ.ai
GPT OSS 120BOpenAI
GPT OSS 20BOpenAI
Qwen3.8 MaxAlibaba
DeepSeek V4 Pro 0813DeepSeek
| Model | FullsendAI | Together AI | Fireworks AI | Groq |
|---|---|---|---|---|
| DeepSeek V4.1 FlashDeepSeek | Not offered yet | $0.30 / $1.20DeepSeek V4.1 FlashSource · | $0.30 / $1.20DeepSeek V4.1 FlashSource · | Not listedSource · |
| GLM 5.3 FlashZ.ai | Not offered yet | $0.15 / $0.50GLM-5.3-FlashSource · | $0.15 / $0.50GLM 5.3 FlashSource · | Not listedSource · |
| GPT OSS 120BOpenAI | Not offered yet | $0.15 / $0.60gpt-oss-120BSource · | $0.15 / $0.60GPT OSS 120BSource · | $0.15 / $0.60openai/gpt-oss-120bSource · |
| GPT OSS 20BOpenAI | Not offered yet | Not listedSource · | Not listedSource · | $0.075 / $0.30openai/gpt-oss-20bSource · |
| Qwen3.8 MaxAlibaba | Not offered yet | Not listedSource · | $2.00 / $6.00Qwen 3.8 MaxSource · | Not listedSource · |
| DeepSeek V4 Pro 0813DeepSeek | Not offered yet | $1.32 / $3.96DeepSeek V4 Pro 0813Source · | Not listedSource · | Not listedSource · |
What a month costs
Same model, same tokens, no cache hits. None of the four charges a fee to top up by card.
No model has a current price on every side today, so there is no like-for-like example to show. See the price table above.
Key differences
Catalogues
Together and Fireworks serve dozens of open models. Groq's self-serve list is short: 2 self-serve text models (plus speech); Llama models enterprise-only. If you build on a Groq model, check its deprecations page.
Privacy defaults
Together stores prompts and may use them for product improvement unless you turn on zero data retention, which is off by default. Fireworks says it doesn't log or store prompts for open models without opt-in. FullsendAI stores API prompts only when you turn on body storage.
Limits
Fireworks pauses all API requests when an account reaches its monthly spend limit. Groq's Developer plan limits GPT OSS 120B to 30 requests and 8K tokens a minute.
Migrate in 2 minutes
Change the base URL, the key and the model name. Everything else stays: streaming, tool calls and images work as before.
from openai import OpenAI
client = OpenAI(
base_url="https://fullsendai.com/v1",
api_key="fs_live_...",
)
reply = client.chat.completions.create(
model="deepseek-v4.1-flash",
messages=[{"role": "user", "content": "Hello"}],
)Full setup for every tool is in the quickstart and agent guides.
Questions
Which is cheapest: Together, Fireworks or Groq?
On the models in the table, Together and Fireworks list the same price for most shared models, and Groq matches them on GPT OSS 120B. It changes by model; prices checked Oct 15, 2026.
Is FullsendAI faster than Groq?
We don't claim to be. Groq's hardware is built for speed. We publish measured time to first token for models on our compare pages.
Where does FullsendAI run models?
In the United States, every model. Requests are never routed abroad, not even when a host is busy.
Does FullsendAI keep my prompts?
Not from the API unless you ask: by default only what billing needs (tokens, cost, timing, status). If you turn on body storage for a project, its requests and replies are kept for 30 days so you can read them in Logs, then deleted.
Related comparisons
One key. Every model. No top-up fee.
Works with the OpenAI and Anthropic SDKs, Claude Code, Codex and other coding agents. Every model runs in the USA.