Parasail vs Replicate: Token Pricing, Speed & Intelligence
Full comparison of Parasail and Replicate — live token pricing, latency, throughput, context window, strengths, weaknesses, and best use cases. Rates sourced from public APIs — verify before use.
Parasail
Serverless inference — Kimi K3, GLM-5.3, MiniMax M3, DeepSeek V4, Qwen3.5, Llama 4
Parasail is a serverless LLM inference platform offering a broad catalog of open-weight models including Kimi K3, Kimi K2.6, GLM-5.3, GLM-5.3 Flash, MiniMax M3, DeepSeek V4 Pro/Flash, Qwen3.5 397B-A17B, Qwen3 235B-A22B, Llama 4 Maverick, Llama 3.3 70B, Mistral Small 3.2 24B, MiMo v2.5, Gemma 4 31B, gpt-oss-120b, and gpt-oss-20b. Pricing is published at parasail.io/pricing.
Replicate
Run any open-source AI model via API — FLUX 1.1 Pro, Llama 4, video, audio, and custom models
Replicate is a platform for running open-source AI models via a simple API. It hosts thousands of community models including FLUX 1.1 Pro, Llama 4, Stable Diffusion, Whisper, and video generation models. Pay per prediction with no infrastructure to manage. The 2026 catalog has expanded significantly with FLUX 1.1 Pro Ultra, Kling v2.1, and Llama 4 Scout/Maverick. Custom model deployment via Cog remains a core differentiator.
Key metric comparison
—
—
—
—
—
—
—
—
—
—
—
—
Live token pricing
Strengths and weaknesses
Parasail
Replicate
Key differentiators
One of the broadest serverless open-weight catalogs available — Kimi K3, GLM-5.3, MiniMax M3, DeepSeek V4, Qwen3.5, and Llama 4 Maverick at competitive per-token rates.
A broad catalog of community AI models — if a model exists on Hugging Face, it's likely on Replicate. Strong coverage for image, video, and audio model access, plus custom model deployment via Cog.
Frequently asked questions
Parasail FAQs
What is Parasail?
Parasail is a serverless LLM inference platform offering a broad catalog of open-weight models. See parasail.io/pricing for current rates and model availability.
What models does Parasail offer?
Parasail's catalog includes Kimi K3, Kimi K2.6, GLM-5.3, GLM-5.3 Flash, MiniMax M3, DeepSeek V4 Pro/Flash, Qwen3.5 397B-A17B, Qwen3 235B-A22B, Llama 4 Maverick, Llama 3.3 70B, Mistral Small 3.2 24B, MiMo v2.5, Gemma 4 31B, gpt-oss-120b, and gpt-oss-20b. See parasail.io/pricing for current rates.
How much does Parasail cost?
As of October 2026: Kimi K3 $3.00/$15.00, Kimi K2.6 $0.75/$3.50, GLM-5.3 $1.40/$4.40, GLM-5.3 Flash $0.15/$0.50, MiniMax M3 $0.30/$1.20, DeepSeek V4 Pro $1.74/$3.48, DeepSeek V4 Flash $0.14/$0.28. See parasail.io/pricing for current rates.
Replicate FAQs
What new models did Replicate add in 2026?
Replicate added FLUX 1.1 Pro Ultra, Kling v2.1 (video generation), Llama 4 Scout and Maverick, and many other models in 2026. The catalog is continuously updated as new community models are released.
How does Replicate pricing work?
Replicate charges per prediction based on compute time used. Pricing varies by model and GPU type. Text models are billed per token; image models per image; video models per second of output. Some models are free with rate limits.
Can I deploy my own model on Replicate?
Yes. Replicate lets you package and deploy custom models using Cog, their open-source model packaging tool. Once deployed, your model gets a public API endpoint with automatic scaling.
Provider resources
Parasail — Serverless inference — Kimi K3, GLM-5.3, MiniMax M3, DeepSeek V4, Qwen3.5, Llama 4
Parasail is a serverless LLM inference platform offering a broad catalog of open-weight models including Kimi K3, Kimi K2.6, GLM-5.3, GLM-5.3 Flash, MiniMax M3, DeepSeek V4 Pro/Flash, Qwen3.5 397B-A17B, Qwen3 235B-A22B, Llama 4 Maverick, Llama 3.3 70B, Mistral Small 3.2 24B, MiMo v2.5, Gemma 4 31B, gpt-oss-120b, and gpt-oss-20b. Pricing is published at parasail.io/pricing.
One of the broadest serverless open-weight catalogs available — Kimi K3, GLM-5.3, MiniMax M3, DeepSeek V4, Qwen3.5, and Llama 4 Maverick at competitive per-token rates.
Replicate — Run any open-source AI model via API — FLUX 1.1 Pro, Llama 4, video, audio, and custom models
Replicate is a platform for running open-source AI models via a simple API. It hosts thousands of community models including FLUX 1.1 Pro, Llama 4, Stable Diffusion, Whisper, and video generation models. Pay per prediction with no infrastructure to manage. The 2026 catalog has expanded significantly with FLUX 1.1 Pro Ultra, Kling v2.1, and Llama 4 Scout/Maverick. Custom model deployment via Cog remains a core differentiator.
A broad catalog of community AI models — if a model exists on Hugging Face, it's likely on Replicate. Strong coverage for image, video, and audio model access, plus custom model deployment via Cog.
Key strengths compared
Parasail
- Broad open-weight model catalog: Kimi K3, GLM-5.3, MiniMax M3, DeepSeek V4, Qwen3.5, Llama 4
- Competitive serverless pricing across all tiers
- Kimi K3 and Kimi K2.6 availability — rare outside Chinese providers
- Newer platform — less battle-tested than Together AI or Fireworks
- No proprietary frontier models
Replicate
- Broad catalog of community AI models — text, image, video, audio
- FLUX 1.1 Pro Ultra and Kling v2.1 in the 2026 catalog
- Llama 4 Scout and Maverick available
- Higher per-token cost than dedicated text inference APIs
- Cold start latency on less popular models
Key weaknesses compared
Parasail
- Newer platform — less battle-tested than Together AI or Fireworks
- No proprietary frontier models
- Smaller community and ecosystem
Replicate
- Higher per-token cost than dedicated text inference APIs
- Cold start latency on less popular models
- Less suitable for high-throughput text inference
Provider category context
Parasail is a inference api, founded in 2023. Replicate is a inference api, founded in 2021. 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 Parasail and Replicate 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.