OctoAI vs RouterPlus: Token Pricing, Speed & Intelligence
Full comparison of OctoAI and RouterPlus — live token pricing, latency, throughput, context window, strengths, weaknesses, and best use cases. Rates sourced from public APIs — verify before use.
OctoAI
Acquired by NVIDIA — OctoAI inference is now available via NVIDIA NIM
OctoAI was acquired by NVIDIA in 2024 and its inference platform has been integrated into NVIDIA NIM (Inference Microservices). Existing OctoAI customers have been migrated to NVIDIA NIM, which provides the same optimised open-weight model inference on NVIDIA GPU infrastructure with TensorRT-LLM acceleration. New users should use NVIDIA NIM directly for access to Llama 4, Mistral, Qwen3, and other open-weight models.
RouterPlus
API router / marketplace — 117 text models with per-route pricing
RouterPlus is an API router and marketplace offering access to 117+ text models. Prices shown are the published base catalog rates — actual price depends on the selected route and context, and is not a guaranteed bill. RouterPlus provides per-route pricing transparency with 27 models having numerically different route prices.
Key metric comparison
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Live token pricing
Strengths and weaknesses
OctoAI
RouterPlus
Key differentiators
OctoAI's inference technology lives on inside NVIDIA NIM — the same hardware-aware optimisation, now with TensorRT-LLM acceleration and NVIDIA's global GPU infrastructure behind it.
An API router with 117 text models and per-route pricing transparency — the catalog rate is a published base rate, not a guaranteed bill; actual price depends on selected route and context.
Frequently asked questions
OctoAI FAQs
What happened to OctoAI?
OctoAI was acquired by NVIDIA in 2024. Its inference platform has been integrated into NVIDIA NIM (Inference Microservices). Existing customers were migrated to NIM, which provides the same optimised open-weight model inference on NVIDIA GPU infrastructure.
Can I still use the OctoAI API?
The original OctoAI API endpoints have been deprecated. Existing OctoAI customers should migrate to NVIDIA NIM, which provides equivalent functionality with TensorRT-LLM optimisation and access to the full NVIDIA model catalog.
What is NVIDIA NIM?
NVIDIA NIM (Inference Microservices) are containerized AI inference packages optimized for NVIDIA GPUs using TensorRT-LLM. They can be accessed via the NVIDIA API catalog at build.nvidia.com or self-hosted on any NVIDIA GPU infrastructure.
RouterPlus FAQs
Are RouterPlus prices guaranteed?
No. RouterPlus prices shown are published base catalog rates. Actual price depends on the selected route and context. 27 models have numerically different route prices. Check route details before production use.
What models does RouterPlus offer?
RouterPlus offers 117 text models including Claude 5 (Fable 5.1, Opus 5-5, Sonnet 5-5, Haiku 5-5), GPT-6 Astra, Gemini 3.x, Grok 4.x, Kimi K3, GLM-5.3, Qwen 3.8 Max, DeepSeek V4 Pro, Mistral Large 4, and many more. See the model table for current rates.
What is the RouterPlus API base URL?
The RouterPlus API base is https://api.routerplus.com/v1 with OpenAI-compatible endpoints. See https://app.routerplus.com/docs/models for full documentation.
Provider resources
OctoAI — Acquired by NVIDIA — OctoAI inference is now available via NVIDIA NIM
OctoAI was acquired by NVIDIA in 2024 and its inference platform has been integrated into NVIDIA NIM (Inference Microservices). Existing OctoAI customers have been migrated to NVIDIA NIM, which provides the same optimised open-weight model inference on NVIDIA GPU infrastructure with TensorRT-LLM acceleration. New users should use NVIDIA NIM directly for access to Llama 4, Mistral, Qwen3, and other open-weight models.
OctoAI's inference technology lives on inside NVIDIA NIM — the same hardware-aware optimisation, now with TensorRT-LLM acceleration and NVIDIA's global GPU infrastructure behind it.
RouterPlus — API router / marketplace — 117 text models with per-route pricing
RouterPlus is an API router and marketplace offering access to 117+ text models. Prices shown are the published base catalog rates — actual price depends on the selected route and context, and is not a guaranteed bill. RouterPlus provides per-route pricing transparency with 27 models having numerically different route prices.
An API router with 117 text models and per-route pricing transparency — the catalog rate is a published base rate, not a guaranteed bill; actual price depends on selected route and context.
Key strengths compared
OctoAI
- Now backed by NVIDIA's full GPU infrastructure and TensorRT-LLM stack
- Seamless migration path for existing OctoAI customers to NVIDIA NIM
- Access to NVIDIA's full open-weight model catalog via NIM
- OctoAI as a standalone product no longer exists — new users should use NVIDIA NIM directly
- Migration required for any OctoAI-specific API integrations
RouterPlus
- Wide catalog: 117 text models including Claude, GPT, Gemini, Grok, Kimi, GLM, Qwen, Mistral, and more
- Per-route pricing transparency — see actual route prices, not just a blended rate
- OpenAI-compatible API at api.routerplus.com/v1
- Catalog rate is not a guaranteed bill — actual price depends on selected route and context
- API router/marketplace — not a direct compute provider
Key weaknesses compared
OctoAI
- OctoAI as a standalone product no longer exists — new users should use NVIDIA NIM directly
- Migration required for any OctoAI-specific API integrations
- Self-hosted path requires NVIDIA GPU infrastructure investment
RouterPlus
- Catalog rate is not a guaranteed bill — actual price depends on selected route and context
- API router/marketplace — not a direct compute provider
- 27 models have numerically different route prices; check route details before production use
Provider category context
OctoAI is a inference api, founded in 2022. RouterPlus is a inference api. Both are inference api providers — the comparison is primarily about pricing, model selection, and feature differentiation within the same tier.
How to choose between them
Both OctoAI and RouterPlus host open-weight models. The key differentiators are latency, throughput, and which specific model versions each provider offers. Check the speed metrics above — inference API providers often differ significantly on tokens-per-second for the same model. Pricing is typically competitive between them; availability of specific model versions (e.g., Llama 3.1 405B, DeepSeek V3) may be the deciding factor.