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CloudGPUvsMeta

CloudGPU vs Meta: Token Pricing, Speed & Intelligence

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

CloudGPU

API gateway / reseller — 33 text models at CloudGPU customer rates

CloudGPU is an API gateway and reseller offering access to frontier and mid-tier text models including Claude, GPT, Kimi, GLM, Qwen, DeepSeek, and MiniMax. Prices shown are CloudGPU customer rates — not official lab prices. CloudGPU does not disclose all routing; upstreams are not the seller.

Multi-model accessCost comparisonChinese frontier models
Open-weight host

Meta

Muse brand — Muse Spark 1.3, Muse Glimmer, Muse Image, Muse Voice via Meta Model API

Meta AI is the creator of the Llama model family and the Muse proprietary product line. As of September 2026, Meta's managed API (Meta Model API) offers Muse Spark 1.3 (flagship multimodal), Muse Glimmer (efficient tier), Muse Image (image generation), and Muse Voice (speech synthesis). Llama 4 Scout, Maverick, and Behemoth remain open-weight and available through dozens of third-party providers. Because Llama weights are open, teams can self-host on GPU cloud for dramatically lower per-token costs at scale.

Self-hosted inferenceCost-optimised at scaleEdge/on-deviceChatVisionImage generationVoice AI
Proprietary modelsHosts open weights

Key metric comparison

CloudGPU
Meta
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

CloudGPU

Access to frontier models including Claude Fable 5.1, Kimi K3, and GPT-6 Astra
Competitive customer rates on Chinese frontier models (GLM, Kimi, Qwen, MiniMax)
OpenAI-compatible API base at cloudgpu.app/v1
API gateway/reseller — routing not fully disclosed
Prices are CloudGPU customer rates, not official lab prices
Per-model context window and capability facts are not publicly documented

Meta

Open-weight Llama 4 models — self-host on any GPU cloud for lowest per-token cost at scale
Muse Spark 1.3: flagship multimodal model with 1M context window
Muse Image and Muse Voice for image generation and speech synthesis
Widest third-party hosting ecosystem — available on AWS, Azure, GCP, Together AI, Groq, and 20+ others
Llama 3.2 1B/3B models run on-device (mobile, edge)
No vendor lock-in on Llama — switch inference providers without changing model weights
Self-hosting requires GPU infrastructure expertise
Meta Model API has limited availability vs third-party hosts
Muse Spark 1.3 pricing not yet publicly listed at launch
Smaller proprietary model lineup vs OpenAI/Anthropic

Key differentiators

CloudGPU

An API gateway offering CloudGPU customer rates on 33 text models — prices differ from official lab rates; routing is not fully disclosed.

Meta

The only frontier-class model family available as open weights — plus the Muse product line (Spark, Glimmer, Image, Voice) for teams that want managed API access without self-hosting.

Frequently asked questions

CloudGPU FAQs

Are CloudGPU prices the same as official provider prices?

No. CloudGPU is an API gateway/reseller. The prices shown are CloudGPU customer rates, which may differ from official lab prices. CloudGPU does not disclose all routing details.

What models does CloudGPU offer?

CloudGPU offers 33 text models including Claude Fable 5.1, Claude Opus 5-5, Kimi K3, GLM-5.3, Qwen 3.8 Max, DeepSeek V4 Pro, GPT-6 Astra, and MiniMax M3. See the model table for current rates.

What is the CloudGPU API base URL?

The CloudGPU API base is https://cloudgpu.app/v1 with OpenAI-compatible endpoints. See https://cloudgpu.app/api/docs for full documentation.

Meta FAQs

What is the Muse brand from Meta?

Muse is Meta's proprietary managed API product line, launched in 2026. It includes Muse Spark 1.3 (flagship multimodal, 1M context), Muse Glimmer (efficient tier), Muse Image (image generation), and Muse Voice (speech synthesis) — all available via the Meta Model API.

What is the Llama 4 context window?

Llama 4 Scout and Maverick support 1,000,000-token (1M) context windows. Llama 4 Behemoth also targets 1M context. This makes Llama 4 competitive with Gemini 3.x for long-document and multi-document tasks.

Can I self-host Llama models?

Yes — all Llama 3.x and Llama 4 Scout/Maverick weights are publicly available under the Llama Community License. You can run them on any GPU cloud provider. Self-hosting becomes cost-effective at high token volumes — check the live GPU table for current H100 rates.

Provider resources

CloudGPU

Provider page
Website
PricingDocs

Meta

Provider page
Website
PricingDocs

CloudGPU — API gateway / reseller — 33 text models at CloudGPU customer rates

CloudGPU is an API gateway and reseller offering access to frontier and mid-tier text models including Claude, GPT, Kimi, GLM, Qwen, DeepSeek, and MiniMax. Prices shown are CloudGPU customer rates — not official lab prices. CloudGPU does not disclose all routing; upstreams are not the seller.

An API gateway offering CloudGPU customer rates on 33 text models — prices differ from official lab rates; routing is not fully disclosed.

Meta — Muse brand — Muse Spark 1.3, Muse Glimmer, Muse Image, Muse Voice via Meta Model API

Meta AI is the creator of the Llama model family and the Muse proprietary product line. As of September 2026, Meta's managed API (Meta Model API) offers Muse Spark 1.3 (flagship multimodal), Muse Glimmer (efficient tier), Muse Image (image generation), and Muse Voice (speech synthesis). Llama 4 Scout, Maverick, and Behemoth remain open-weight and available through dozens of third-party providers. Because Llama weights are open, teams can self-host on GPU cloud for dramatically lower per-token costs at scale.

The only frontier-class model family available as open weights — plus the Muse product line (Spark, Glimmer, Image, Voice) for teams that want managed API access without self-hosting.

Key strengths compared

CloudGPU

  • Access to frontier models including Claude Fable 5.1, Kimi K3, and GPT-6 Astra
  • Competitive customer rates on Chinese frontier models (GLM, Kimi, Qwen, MiniMax)
  • OpenAI-compatible API base at cloudgpu.app/v1
  • API gateway/reseller — routing not fully disclosed
  • Prices are CloudGPU customer rates, not official lab prices

Meta

  • Open-weight Llama 4 models — self-host on any GPU cloud for lowest per-token cost at scale
  • Muse Spark 1.3: flagship multimodal model with 1M context window
  • Muse Image and Muse Voice for image generation and speech synthesis
  • Self-hosting requires GPU infrastructure expertise
  • Meta Model API has limited availability vs third-party hosts

Key weaknesses compared

CloudGPU

  • API gateway/reseller — routing not fully disclosed
  • Prices are CloudGPU customer rates, not official lab prices
  • Per-model context window and capability facts are not publicly documented

Meta

  • Self-hosting requires GPU infrastructure expertise
  • Meta Model API has limited availability vs third-party hosts
  • Muse Spark 1.3 pricing not yet publicly listed at launch
  • Smaller proprietary model lineup vs OpenAI/Anthropic

Provider category context

CloudGPU is a inference api. Meta is a open source host, 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 CloudGPU if you need access to frontier models including claude fable 5.1, kimi k3, and gpt-6 astra. Choose Meta if you need open-weight llama 4 models — self-host on any gpu cloud for lowest per-token cost at scale. 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.