Together AI vs LlamaIndex
Open-source LLM infra — inference + fine-tuning + dedicated GPUs + image/video/audio
vs. Data framework for LLMs — RAG-first with LlamaCloud + LlamaParse
Pricing tiers
Together AI
Pay-as-you-go
Per-token pricing for serverless inference. No minimum.
$0 base (usage-based)
Dedicated Endpoints
Single-tenant GPU endpoints billed hourly.
$0 base (usage-based)
Batch API (50% off)
50% discount for async batch processing on most serverless models.
$0 base (usage-based)
Reserved GPU Clusters
6+ day commitments with discounted reserved rates.
$0 base (usage-based)
Enterprise
Custom. Private deployments, VPC, SLAs, dedicated support.
Custom
LlamaIndex
OSS (MIT)
MIT-licensed core. Python + TypeScript. Free forever.
$0 base (usage-based)
LlamaCloud — Free
Free tier of LlamaCloud. 1,000 pages/day via LlamaParse. Basic indexing.
Free
LlamaCloud — Paid
Pay-per-page parsing + usage-based indexing. $0.003 per page (Fast mode).
$0 base (usage-based)
LlamaCloud Enterprise
Custom. SSO, SOC2, higher rate limits, private index hosting.
Custom
Free-tier quotas head-to-head
Comparing payg on Together AI vs oss on LlamaIndex.
| Metric | Together AI | LlamaIndex |
|---|---|---|
| No overlapping quota metrics for these tiers. | ||
Features
Together AI · 14 features
- Audio (ASR + TTS) — Whisper Large v3 + Cartesia Sonic-3.
- Batch API — 50% discount for async processing.
- Code Interpreter — LLM with integrated code execution.
- Code Sandbox — Secure Python execution environment.
- Dedicated Endpoints — Single-tenant GPU endpoints for consistent latency.
- Embeddings — BGE + nomic + mxbai embedding models.
- Fine-Tuning — LoRA + full fine-tune + DPO on Llama, Qwen, Mistral.
- Image Generation — FLUX.2, SD3, Ideogram, etc.
- OpenAI-Compat API — Drop-in OpenAI SDK replacement.
- Private Deploy — Dedicated tenant + VPC.
- Reranker — Rerank model for RAG retrieval refinement.
- Reserved Clusters — Discounted GPU clusters for committed use.
- Serverless Inference — 200+ open models. OpenAI-compatible API.
- Video Generation — Veo 3.0, Kling 2.1, Vidu 2.0.
LlamaIndex · 16 features
- Agents — Agent patterns: ReAct, function-calling, multi-agent workflows.
- Document Readers — 200+ readers for PDF, web, Google Drive, SharePoint, Notion, S3, Slack.
- Evaluations — Built-in eval framework: faithfulness, context precision/recall.
- LlamaCloud — Managed indexing + retrieval platform. File connectors, auto-chunking, retrieval…
- LlamaExtract — Schema-based structured extraction from unstructured docs.
- LlamaHub — Community marketplace of readers, tools, prompts.
- LlamaParse — Best-in-class PDF + complex document parser. Tables, math, layout preserved.
- Multimodal — Image + text models, image retrieval.
- Node Parsers — Document chunkers: token, sentence, semantic, hierarchical.
- Observability (OpenLLMetry) — OTel-based tracing baked in.
- Property Graph — Graph-based RAG (knowledge graphs from unstructured data).
- Query Engines — Retrieval + response synthesis combos — router, sub-question, tree, etc.
- RAG — End-to-end RAG patterns: ingest → index → retrieve → synthesize.
- Tools — 50+ pre-built tool integrations.
- Vector Store Integrations — 50+ vector DB integrations.
- Workflows — Event-driven agent workflows (AgentWorkflow).
Developer interfaces
| Kind | Together AI | LlamaIndex |
|---|---|---|
| CLI | Together CLI | — |
| SDK | together-js, together-python | llama-index (Python), llamaindex (TS) |
| REST | Code Sandbox / Interpreter, Dedicated Endpoints, Together REST API (OpenAI-compat) | LlamaCloud API, LlamaParse API |
| MCP | — | LlamaIndex MCP |
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