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Groq vs Upstage: Token Pricing, Speed & Intelligence

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

Groq

LPU + LPX inference — high-throughput tokens per second, $350M Series A

Groq runs custom Language Processing Units (LPUs) and the newer LPX chips that work alongside NVIDIA next-generation GPUs for high-throughput inference. Groq raised a $350M Series A in 2026 and is building hundreds of megawatts of capacity. Check listed rates and provider documentation for current model availability and throughput figures.

SpeedReal-time chatVoice AICost-efficiencyBatch processing
Open-weight hostHosts 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

Groq

750+ tokens/sec on Llama 3.3 70B — high-throughput GPU-class inference (Groq-published)
Sub-100ms time-to-first-token for real-time applications
LPX chips alongside LPUs for expanded capacity
Very competitive pricing on open-weight models
OpenAI-compatible API
Free tier available
Limited model selection vs. Together AI or Fireworks
No vision model support on most models
No fine-tuning capability

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

Groq

Groq's custom LPU/LPX chips deliver high-throughput inference significantly faster than conventional GPU systems, backed by $350M in Series A funding and hundreds of megawatts of planned capacity.

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

Groq FAQs

How fast is Groq inference?

Groq delivers 750+ tokens/second on Llama 3.3 70B and 1,200+ tokens/second on Llama 3.1 8B using custom LPU/LPX chips, making it well-suited for real-time and low-latency applications.

What is Groq's LPX chip?

The LPX is Groq's next-generation inference chip, introduced alongside the existing LPU lineup. It expands Groq's capacity and enables even higher throughput for large-scale deployments.

How much does Groq cost?

Groq uses per-token pricing across its model catalog. Check console.groq.com/docs/openai for current rates on Llama 3.3 70B, Llama 3.1 8B, and other models.

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

Groq — LPU + LPX inference — high-throughput tokens per second, $350M Series A

Groq runs custom Language Processing Units (LPUs) and the newer LPX chips that work alongside NVIDIA next-generation GPUs for high-throughput inference. Groq raised a $350M Series A in 2026 and is building hundreds of megawatts of capacity. Check listed rates and provider documentation for current model availability and throughput figures.

Groq's custom LPU/LPX chips deliver high-throughput inference significantly faster than conventional GPU systems, backed by $350M in Series A funding and hundreds of megawatts of planned capacity.

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

Groq

  • 750+ tokens/sec on Llama 3.3 70B — high-throughput GPU-class inference (Groq-published)
  • Sub-100ms time-to-first-token for real-time applications
  • LPX chips alongside LPUs for expanded capacity
  • Limited model selection vs. Together AI or Fireworks
  • No vision model support on most models

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

Groq

  • Limited model selection vs. Together AI or Fireworks
  • No vision model support on most models
  • No fine-tuning capability

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

Groq is a inference api, founded in 2016. Upstage is a frontier lab, founded in 2020. Groq as an inference API provider hosts open-weight models — typically offering lower prices for equivalent capability tiers. Upstage as a frontier lab trains and serves proprietary models with capabilities not available elsewhere.

How to choose between them

Choose Groq if you need 750+ tokens/sec on llama 3.3 70b — high-throughput gpu-class inference (groq-published). 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.