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Meta vs Upstage: Token Pricing, Speed & Intelligence

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

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

Upstage

Solar Pro 4, Solar Pro 3, Solar Pro 2 — Korean frontier models with strong multilingual performance

Upstage is a Korean AI company offering the Solar model family via API. Solar Pro 4 is the current flagship, with Solar Pro 3 and Solar Pro 2 available at lower price points. The Solar models are known for strong multilingual performance, particularly in Korean and English, and competitive pricing relative to their capability tier. Pricing is published at upstage.ai/pricing.

ChatMultilingualKorean NLPCost-efficiencyEnterprise
Proprietary models

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

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

Upstage

Solar Pro 4: competitive frontier-tier pricing at $0.30/$1.20 per 1M tokens
Strong multilingual performance — Korean and English
Three-tier model family: Solar Pro 4, 3, and 2 for different cost/quality trade-offs
OpenAI-compatible API
Smaller global ecosystem than OpenAI or Anthropic
Limited model variety beyond the Solar family
Less documentation in English than major US providers

Key differentiators

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.

Upstage

Korean-built Solar models with strong multilingual performance and competitive frontier-tier pricing — Solar Pro 4 at $0.30/$1.20 per 1M tokens.

Frequently asked questions

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.

Upstage FAQs

What is Upstage Solar?

Upstage Solar is a family of LLMs from Korean AI company Upstage. Solar Pro 4 is the current flagship, with Solar Pro 3 and Solar Pro 2 at lower price points. See upstage.ai/pricing for current rates.

How much does Upstage Solar cost?

As of October 2026: Solar Pro 4 $0.30/$1.20 per 1M tokens, Solar Pro 3 $0.15/$0.60, Solar Pro 2 $0.15/$0.60. See upstage.ai/pricing for current rates.

Is Upstage good for Korean language tasks?

Yes. The Solar model family is developed by a Korean AI company and shows strong performance on Korean-language benchmarks, making it a top choice for Korean NLP workloads.

Provider resources

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.

Upstage — Solar Pro 4, Solar Pro 3, Solar Pro 2 — Korean frontier models with strong multilingual performance

Upstage is a Korean AI company offering the Solar model family via API. Solar Pro 4 is the current flagship, with Solar Pro 3 and Solar Pro 2 available at lower price points. The Solar models are known for strong multilingual performance, particularly in Korean and English, and competitive pricing relative to their capability tier. Pricing is published at upstage.ai/pricing.

Korean-built Solar models with strong multilingual performance and competitive frontier-tier pricing — Solar Pro 4 at $0.30/$1.20 per 1M tokens.

Key strengths compared

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

Upstage

  • Solar Pro 4: competitive frontier-tier pricing at $0.30/$1.20 per 1M tokens
  • Strong multilingual performance — Korean and English
  • Three-tier model family: Solar Pro 4, 3, and 2 for different cost/quality trade-offs
  • Smaller global ecosystem than OpenAI or Anthropic
  • Limited model variety beyond the Solar family

Key weaknesses compared

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

Upstage

  • Smaller global ecosystem than OpenAI or Anthropic
  • Limited model variety beyond the Solar family
  • Less documentation in English than major US providers

Provider category context

Meta is a open source host, founded in 2023. Upstage is a frontier lab, founded in 2020. 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 Meta if you need open-weight llama 4 models — self-host on any gpu cloud for lowest per-token cost at scale. Choose Upstage if you need solar pro 4: competitive frontier-tier pricing at $0.30/$1.20 per 1m tokens. 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.