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Guanxingyun vs Together AI: Pricing, Specs, Strengths & Weaknesses

Side-by-side comparison of GPU compute pricing, regions, billing models, and strengths for Guanxingyun and Together AI. Rates sourced from public APIs — verify current availability and billing terms before purchasing.

Overview

Provider type
Specialist
Specialist
Founded
2020
2022
Headquarters
China
San Francisco, CA
Billing model
On-demand, Monthly
Per-token (inference), On-demand / Reserved (GPU cloud)
Min commitment
None
None
Support tier
Standard
Community → Enterprise
Regions
1 regions
2 regions

Strengths & Best For

Guanxingyun

Guanxingyun is a Chinese GPU cloud provider offering Huawei 910B, A100 40GB, V100 32GB, and RTX 4090 GPU instances with CNY monthly pricing. The platform is notable for offering Huawei Ascend 910B hardware alongside NVIDIA GPUs, making it relevant for teams exploring domestic Chinese AI accelerators. Prices are denominated in CNY; USD equivalents are approximate. Verified 2026-10-22: Huawei 910B at CNY 3.26/hr, A100 40GB at CNY 3.58/hr, V100 32GB at CNY 1.72/hr.

Strengths
  • Huawei Ascend 910B availability alongside NVIDIA GPUs
  • A100 and V100 at competitive CNY rates
  • China-based infrastructure for local data residency
  • On-demand and monthly billing options
Weaknesses
  • China-only — no international regions
  • Prices in CNY — USD conversion adds uncertainty
  • Smaller provider with limited global presence
  • Huawei 910B ecosystem less mature than NVIDIA CUDA
Best For
Chinese AI teams exploring Huawei Ascend hardwareTeams requiring China data residencyCost-sensitive GPU workloads within Chinese infrastructure
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Together AI

Together AI is a full-stack AI platform combining a high-throughput inference API (200+ open-source models), dedicated GPU clusters (H100 SXM, A100), and a managed fine-tuning service. Together MoE optimization cuts costs on large mixture-of-experts models. Function calling and JSON mode across all major models. Fine-tuning: LoRA and full fine-tune for Llama, Mistral, and Qwen. GPU cloud: H100 SXM and A100 clusters for large-scale training. Check api.together.ai/models for current per-token rates.

Strengths
  • 200+ open-source models — wide inference API catalog
  • Llama 4 Scout — competitive frontier-open pricing
  • Together MoE optimization reduces cost on large MoE models
  • Managed fine-tuning: LoRA and full fine-tune for Llama, Mistral, Qwen
  • Function calling and JSON mode across all major models
  • GPU cloud + inference API from one vendor
Weaknesses
  • GPU cloud side less polished than pure-play providers like CoreWeave
  • Inference API latency trails Fireworks and Cerebras on speed benchmarks
  • Enterprise SLAs require custom contracts — not self-serve
Best For
Teams wanting inference API + GPU training from one vendorFine-tuning Llama, Mistral, or Qwen at scaleCost-conscious teams replacing OpenAI with open-source modelsResearchers needing broad model access without self-hosting
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Region Coverage

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Key differences

Guanxingyun

Chinese GPU cloud — Huawei 910B, A100, V100, RTX 4090 with CNY pricing

Together AI

Full-stack AI platform — 200+ models, GPU cloud, fine-tuning, and Together MoE optimization

AttributeGuanxingyunTogether AI
Provider typespecialistspecialist
Billing modelOn-demand, MonthlyPer-token (inference), On-demand / Reserved (GPU cloud)
Min commitmentNoneNone
Regions1 (CN)2 (US-East, US-West)
Support tierStandardCommunity → Enterprise
Best forChinese AI teams exploring Huawei Ascend hardware, Teams requiring China data residencyTeams wanting inference API + GPU training from one vendor, Fine-tuning Llama, Mistral, or Qwen at scale
Founded / HQ2020 · China2022 · San Francisco, CA