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FastInfra vs OpenAI: Token Pricing, Speed & Intelligence

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

FastInfra

Inference platform + GPU pods — 785+ models, Amazon Nova, H200 capacity

FastInfra is a hybrid inference platform combining a model router (785+ models) with its own H200 GPU capacity. It offers Amazon Nova Lite and Nova Micro at very competitive rates, with prepaid credits from $5. Part inference router, part dedicated GPU cloud.

Cost-sensitive workloadsBroad model accessAmazon Nova inference
Open-weight hostHosts open weights

OpenAI

GPT-6 Astra, GPT-5.6 Sol/Terra/Luna — plus image, voice, and realtime APIs

OpenAI's September 2026 API lineup spans GPT-6 Astra (flagship frontier), GPT-5.6 Sol (promotional), GPT-5.6 Terra (balanced), and GPT-5.6 Luna (everyday). Beyond text, the platform includes GPT-Image-2.5 (Sunburst and Flare), GPT-Live-1 voice, GPT-Realtime-2.1 for low-latency voice agents, and transcription/translation models. Batch API saves 50% on all models. Check the live table for current per-token rates.

CodingChatVisionReasoningAgentsVoiceImage generation
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

FastInfra

785+ models via router — broad catalog coverage
Own H200 GPU capacity for low-latency inference
Very competitive Amazon Nova Lite ($0.06/$0.25) and Nova Micro ($0.04/$0.15) rates
Prepaid from $5 — low barrier to entry
Newer provider — limited ecosystem integrations and third-party reviews
Hybrid router/own-capacity model means latency may vary by model
Limited benchmark transparency

OpenAI

Wide API surface: text, image, voice, realtime, transcription, translation, web search, code execution
GPT-6 Astra at the frontier; GPT-5.6 Sol at promotional pricing
Prompt caching on all major models (10% of input price)
Batch API: 50% off all models for async workloads
Wide ecosystem — virtually every AI framework supports OpenAI natively
No open-weight models — full vendor lock-in
GPT-6 Astra output pricing is among the highest for frontier tier — check live table
Rate limits can be restrictive on lower tiers

Key differentiators

FastInfra

Hybrid inference platform with 785+ models via router and own H200 capacity, offering Amazon Nova at very competitive rates.

OpenAI

A broad AI API platform — GPT-6 Astra to GPT-5.6 Luna covering multiple capability tiers, plus native image, voice, realtime, and transcription APIs under one key.

Frequently asked questions

FastInfra FAQs

What is FastInfra?

FastInfra is a hybrid inference platform combining a 785+ model router with its own H200 GPU capacity. It offers Amazon Nova Lite ($0.06/$0.25 per 1M tokens) and Nova Micro ($0.04/$0.15), with prepaid credits from $5. See fastinfra.ai/pricing for current rates.

Does FastInfra have its own GPU capacity?

Yes. FastInfra operates its own H200 GPU infrastructure alongside a model router, so some models run on dedicated capacity rather than being routed to third-party providers.

OpenAI FAQs

What are the latest OpenAI models as of 2026?

OpenAI's current lineup includes GPT-6 Astra (flagship frontier), GPT-5.6 Sol (promotional), GPT-5.6 Terra (balanced), and GPT-5.6 Luna (everyday). The o-series reasoning models remain available for complex multi-step tasks. Check the live table or platform.openai.com/docs/pricing for current rates.

How much does the OpenAI API cost?

OpenAI uses tiered per-token pricing across its model lineup. The Batch API cuts all prices by 50% for async workloads, and prompt caching reduces input costs by 50% on eligible requests. Check platform.openai.com/docs/pricing for current rates.

Does OpenAI support prompt caching?

Yes. Prompt caching is available on GPT-6 Astra, GPT-5.6 Sol, and other major models. Cached input tokens are billed at 50% of the standard input price, making long-context and repeated-system-prompt workloads significantly cheaper.

Provider resources

FastInfra — Inference platform + GPU pods — 785+ models, Amazon Nova, H200 capacity

FastInfra is a hybrid inference platform combining a model router (785+ models) with its own H200 GPU capacity. It offers Amazon Nova Lite and Nova Micro at very competitive rates, with prepaid credits from $5. Part inference router, part dedicated GPU cloud.

Hybrid inference platform with 785+ models via router and own H200 capacity, offering Amazon Nova at very competitive rates.

OpenAI — GPT-6 Astra, GPT-5.6 Sol/Terra/Luna — plus image, voice, and realtime APIs

OpenAI's September 2026 API lineup spans GPT-6 Astra (flagship frontier), GPT-5.6 Sol (promotional), GPT-5.6 Terra (balanced), and GPT-5.6 Luna (everyday). Beyond text, the platform includes GPT-Image-2.5 (Sunburst and Flare), GPT-Live-1 voice, GPT-Realtime-2.1 for low-latency voice agents, and transcription/translation models. Batch API saves 50% on all models. Check the live table for current per-token rates.

A broad AI API platform — GPT-6 Astra to GPT-5.6 Luna covering multiple capability tiers, plus native image, voice, realtime, and transcription APIs under one key.

Key strengths compared

FastInfra

  • 785+ models via router — broad catalog coverage
  • Own H200 GPU capacity for low-latency inference
  • Very competitive Amazon Nova Lite ($0.06/$0.25) and Nova Micro ($0.04/$0.15) rates
  • Newer provider — limited ecosystem integrations and third-party reviews
  • Hybrid router/own-capacity model means latency may vary by model

OpenAI

  • Wide API surface: text, image, voice, realtime, transcription, translation, web search, code execution
  • GPT-6 Astra at the frontier; GPT-5.6 Sol at promotional pricing
  • Prompt caching on all major models (10% of input price)
  • No open-weight models — full vendor lock-in
  • GPT-6 Astra output pricing is among the highest for frontier tier — check live table

Key weaknesses compared

FastInfra

  • Newer provider — limited ecosystem integrations and third-party reviews
  • Hybrid router/own-capacity model means latency may vary by model
  • Limited benchmark transparency

OpenAI

  • No open-weight models — full vendor lock-in
  • GPT-6 Astra output pricing is among the highest for frontier tier — check live table
  • Rate limits can be restrictive on lower tiers

Provider category context

FastInfra is a inference api, founded in 2024. OpenAI is a frontier lab, founded in 2015. FastInfra as an inference API provider hosts open-weight models — typically offering lower prices for equivalent capability tiers. OpenAI as a frontier lab trains and serves proprietary models with capabilities not available elsewhere.

How to choose between them

Choose FastInfra if you need Cost-sensitive workloads. Choose OpenAI if you need wide api surface: text, image, voice, realtime, transcription, translation, web search, code execution. 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.