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Chutes vs Parasail: Token Pricing, Speed & Intelligence

Full comparison of Chutes and Parasail — live token pricing, latency, throughput, context window, strengths, weaknesses, and best use cases. Rates sourced from public APIs — verify before use.

Chutes

Open-weight model inference on TEE GPUs

Chutes (chutes.ai) is an inference platform for open-weight models. Workloads run inside Trusted Execution Environments (TEEs) on GPU hardware, with cryptographic attestation of model and input confidentiality. The API is OpenAI-compatible and pricing is per token with no minimum commitment.

Open-weight inferencePrivacy-sensitive workloadsServerless LLM
Open-weight hostHosts open weights

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.

Open-sourceCost-efficiencyReasoningChatCodingMultilingual
Open-weight hostHosts open weights

Key metric comparison

Cheapest input ($/1M)

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Cheapest output ($/1M)

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Peak throughput

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Best latency (TTFT)

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Intelligence score

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Context window

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Live token pricing

Strengths and weaknesses

Chutes

TEE-backed inference with cryptographic attestation
OpenAI-compatible API
Serverless, per-token pricing
Supports open-weight models including Llama, Mistral, Qwen, and DeepSeek

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
gpt-oss-120b and gpt-oss-20b at competitive rates
OpenAI-compatible API
Newer platform — less battle-tested than Together AI or Fireworks
No proprietary frontier models
Smaller community and ecosystem

Key differentiators

Chutes

Open-weight inference platform running workloads inside TEEs with cryptographic attestation.

Parasail

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.

Frequently asked questions

Chutes FAQs

What is Chutes?

Chutes is an inference platform for open-weight models. Workloads run inside Trusted Execution Environments (TEEs) on GPU hardware. See chutes.ai for details.

What does TEE inference mean on Chutes?

TEE (Trusted Execution Environment) inference runs model workloads inside a hardware-isolated enclave. Chutes provides cryptographic attestation of this isolation. See their documentation at docs.chutes.ai.

What models does Chutes offer?

Chutes hosts open-weight models including families from Llama, Mistral, Qwen, and DeepSeek. See chutes.ai for the current catalog.

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.

Provider resources

Chutes — Open-weight model inference on TEE GPUs

Chutes (chutes.ai) is an inference platform for open-weight models. Workloads run inside Trusted Execution Environments (TEEs) on GPU hardware, with cryptographic attestation of model and input confidentiality. The API is OpenAI-compatible and pricing is per token with no minimum commitment.

Open-weight inference platform running workloads inside TEEs with cryptographic attestation.

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.

Key strengths compared

Chutes

  • TEE-backed inference with cryptographic attestation
  • OpenAI-compatible API
  • Serverless, per-token pricing

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

Key weaknesses compared

Chutes

    Parasail

    • Newer platform — less battle-tested than Together AI or Fireworks
    • No proprietary frontier models
    • Smaller community and ecosystem

    Provider category context

    Chutes is a open source host, founded in 2024. Parasail is a inference api, founded in 2023. The category difference means these providers serve partially overlapping use cases — compare the model lists and pricing tables above to find the best fit for your specific workload.

    How to choose between them

    Choose Chutes if you need tee-backed inference with cryptographic attestation. Choose Parasail if you need broad open-weight model catalog: kimi k3, glm-5.3, minimax m3, deepseek v4, qwen3.5, llama 4. For high-volume production workloads, run a cost comparison using the token pricing table above with your actual prompt/completion token ratio — the cheapest provider depends heavily on your input-to-output token ratio.