Cerebras vs RouterPlus: Token Pricing, Speed & Intelligence
Full comparison of Cerebras and RouterPlus — live token pricing, latency, throughput, context window, strengths, weaknesses, and best use cases. Rates sourced from public APIs — verify before use.
Cerebras
CS-4 wafer-scale — high-throughput inference on GPT OSS 120B and Qwen 3.8 27B
Cerebras uses wafer-scale silicon (the CS-4 chip) to deliver high-throughput inference significantly faster than conventional GPU systems. The Developer tier provides self-serve access; Enterprise tier adds production capacity, custom model weights, fine-tuning, and dedicated support. Available on AWS Marketplace, OpenRouter, HuggingFace, and Vercel. Check cerebras.ai/pricing for current rates and any free-credit offers.
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
Cerebras
RouterPlus
Key differentiators
Cerebras CS-4 wafer-scale silicon delivers high-throughput inference on GPT OSS 120B and Qwen 3.8 27B — significantly faster than conventional GPU systems, enabling real-time agentic workflows and interactive AI.
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
Cerebras FAQs
How fast is Cerebras inference?
Cerebras delivers significantly higher throughput than conventional GPU-based providers on GPT OSS 120B and Qwen 3.8 27B, enabling real-time agentic workflows and interactive AI applications. Check cerebras.ai for current benchmark figures.
What is the Cerebras CS-4 chip?
The CS-4 is Cerebras's latest wafer-scale chip, 58× larger than a GPU. It provides 900,000+ AI cores and massive on-chip SRAM, eliminating the memory bandwidth bottleneck that limits GPU inference speed.
What models does Cerebras support?
Cerebras supports GPT OSS 120B and Qwen 3.8 27B on the Developer tier. Enterprise adds access to all models including production and preview models. Check cerebras.ai/pricing for current rates.
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
Cerebras — CS-4 wafer-scale — high-throughput inference on GPT OSS 120B and Qwen 3.8 27B
Cerebras uses wafer-scale silicon (the CS-4 chip) to deliver high-throughput inference significantly faster than conventional GPU systems. The Developer tier provides self-serve access; Enterprise tier adds production capacity, custom model weights, fine-tuning, and dedicated support. Available on AWS Marketplace, OpenRouter, HuggingFace, and Vercel. Check cerebras.ai/pricing for current rates and any free-credit offers.
Cerebras CS-4 wafer-scale silicon delivers high-throughput inference on GPT OSS 120B and Qwen 3.8 27B — significantly faster than conventional GPU systems, enabling real-time agentic workflows and interactive AI.
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
Cerebras
- GPT OSS 120B: high-throughput inference on CS-4 wafer-scale silicon
- Qwen 3.8 27B: fast efficient-tier inference
- CS-4 chip: 58× larger than GPUs, purpose-built for AI inference
- Limited model selection vs. Together AI or Fireworks
- No vision or multimodal support
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
Cerebras
- Limited model selection vs. Together AI or Fireworks
- No vision or multimodal support
- No fine-tuning on Developer tier
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
Cerebras is a inference api, founded in 2016. 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 Cerebras 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.