Together AI
Verified ProviderTier 3 Serverless & Cluster Fabric 4.8 / 5.0 (130 reviews)The Fastest Cloud Platform for Open Source AI
Together AI powers inference and fine-tuning for leading open source models with proprietary FlashAttention kernels. Fast TTFT and sub-second generation speeds.
Together AI Serverless AI Token Inference Pricing (7 Models)
| AI Model | Category | Cold Start | Context Window | Input ($/1M or Unit) | Output / 1M Tokens | Speed | Actions |
|---|---|---|---|---|---|---|---|
| FLUX.1-dev | IMAGE | 0s Instant | 1K tokens | $0.035 / img | — | Stateless API | |
| Meta-Llama-3.1-8B-Instruct | LLM | 0s Instant | 128K tokens | $0.18 | $0.18 | 140 tps | |
| Qwen-2.5-Coder-32B-Instruct | LLM | 0s Instant | 128K tokens | $0.40 | $0.40 | 95 tps | |
| DeepSeek-R1 | LLM | 0s Instant | 160K tokens | $0.80 | $2.40 | 72 tps | |
| Llama-3.3-70B-Instruct | LLM | 0s Instant | 128K tokens | $0.88 | $0.88 | 92 tps | |
| DeepSeek-V3 | LLM | 0s Instant | 128K tokens | $0.90 | $0.90 | 85 tps | |
| Qwen-2.5-72B-Instruct | LLM | 0s Instant | 128K tokens | $0.90 | $0.90 | 85 tps |
Together AI Monthly API Token Spend Simulator
Simulate monthly inference cost across open foundation models. Zero idle cluster fees, pure pay-per-token API billing.
Unlike renting raw GPU instances where stopped persistent volumes incur $0.10/GB/month and idle compute bills 24/7, Together AI charges purely for generated tokens. When your app receives zero traffic, your hourly cost is strictly $0.00.
Total volume: 25.0M tokens / month
Equivalent volume on OpenAI GPT-4o costs approx. $100/mo ($2.50/$10.00 per 1M).
- •Dedicated GPU endpoints carry hourly minimum commitments; serverless shared endpoints can experience minor latency variance during global traffic peaks.
- •Custom model fine-tuning jobs require pre-validating dataset JSONL formats to prevent ingestion failures.
- •Default rate limits on free or tier-1 accounts require submitting an upgrade request for massive concurrency (>100 RPS).
- ✓Comprehensive developer ecosystem: combines Serverless API, Dedicated Endpoints, and Custom Fine-Tuning under one unified dashboard.
- ✓Pioneered serverless LoRA hot-swapping: serve hundreds of customer-specific fine-tuned adapters on a shared base model cluster at zero extra infrastructure cost.
- ✓Engineered with custom FlashAttention-3 and high-throughput inference kernels, delivering exceptional tokens-per-second on 70B models.
Top Alternatives to Together AI
Evaluate competing serverless inference APIs for pricing, speed, and platform reliability.
Lowest token pricing for Llama 3 and DeepSeek R1
DeepInfra is consistently 30% to 50% cheaper on raw per-million token rates with OpenAI-compatible drop-in endpoints.
Maximum speed LPU inference engine
Best for voice agents and interactive bots needing 300+ tokens/sec throughput.
Proprietary FireAttention & serverless LoRA hot-swapping
Fireworks AI provides faster speculative decoding on Llama 3.3 and DeepSeek-R1, plus instant serverless LoRA swapping with zero base-model rental fees.
In-Depth Technical Head-to-Head Battles:
Comparing serverless token pricing for Llama 3.3 70B: DeepInfra offers the absolute cheapest rate at $0.23/1M input and $0.40/1M output. Together AI offers higher throughput (>110 tokens/sec) and dedicated enterprise fine-tuning endpoints.
Both platforms offer exceptional OpenAI-compatible APIs for open models. DeepInfra wins on sheer input/output token pricing for DeepSeek-R1 and Llama 3. Together AI offers superior custom fine-tuning and enterprise SLAs with proprietary FlashAttention optimization.
Fireworks AI is the top pick for production engineers needing low-latency inference with custom LoRAs hot-swapped dynamically without base model rental fees. Together AI provides a wider foundation model catalog, native end-to-end model fine-tuning jobs, and broader multimodal image APIs including FLUX.1.
Replicate is the easiest platform for web and mobile developers to integrate generative AI models with a single line of SDK code (replicate.run(...)) and turnkey webhook delivery. Together AI provides superior economics for high-volume enterprise production inference, lower per-million token rates, and native model fine-tuning jobs.
Mistral AI's La Plateforme is the gold standard for enterprises requiring 100% European data residency, GDPR compliance, and direct access to flagship models like Mistral Large 2 and Codestral-2501 (256k context). Together AI provides a wider multi-architecture catalog (DeepSeek, Llama, Flux) with lower token rates for non-EU workloads.
Developer API SDK & Code Recipes for Together AI
Tested OpenAI-standard drop-in code snippets for Python, TypeScript, and cURL.
# 1. Install official OpenAI client:
# pip install openai
from openai import OpenAI
import os
client = OpenAI(
base_url="https://api.together.xyz/v1",
api_key=os.environ.get("TOGETHER_API_KEY", "your_api_key_here")
)
response = client.chat.completions.create(
model="deepseek-ai/DeepSeek-R1",
messages=[
{"role": "system", "content": "You are a helpful AI assistant."},
{"role": "user", "content": "Explain KV cache compression in 3 concise bullet points."}
],
temperature=0.6,
)
print(response.choices[0].message.content)Together AI Architecture, Gotchas & Engineering Verdict
Together AI operates high-throughput managed inference clusters optimized for ultra-low latency token generation. Physical accelerators (LPUs or H100s) are pooled into an elastic API backend with zero user DevOps management.
- ✓Zero idle server cost: strictly pay-per-token with $0.00 disk retention fees.
- ✓OpenAI-compatible drop-in endpoints with streaming SSE and tool calling.
- ✓Instant autoscaling from 1 to 500+ concurrent requests with zero cold starts.
- !Rate Limits (TPM/RPM): Unverified free tiers have tighter request-per-minute limits. Upgrade to production tier for high concurrency.
- !Context Window Limits: Ensure long document RAG pipelines respect model context limits.
- !Fixed Model Catalog: You cannot run arbitrary custom LoRA checkpoints directly without dedicated custom endpoints.
Developer Reviews & Telemetry Audit
Aggregated from 130 verified AI engineers deploying vLLM, ComfyUI, and production API workloads.
“Together AI's FLUX.1 and Llama 3.3 endpoints have been exceptionally dependable for our customer-facing web app. Zero cold starts.”