Proprietary AI models: API-only, and what that locks you into

Proprietary API
Services found: 151
#AI modelCapabilitiesAPI $/1M (in / out)Context windowPrice / moOutput $/1MOverviewVisit site
101

Claude Opus 4.7

Anthropic
Text & chatVisionReasoning
$5 / $251M tokensAPI only25View
102

GPT-5.2

OpenAI
Text & chatVisionReasoning
$1.75 / $14400K tokensAPI only14View
103

Grok 4.20

xAI
Text & chatVisionReasoning
$1.25 / $2.52M tokensAPI only2.5View
104

GPT-5.6 Terra Pro

OpenAI
Text & chatVisionReasoning
$2 / $121.05M tokensAPI only12View
105

GPT-5.1

OpenAI
Text & chatVisionReasoning
$1.25 / $10400K tokensAPI only10View
106

Claude Opus 4.5

Anthropic
Text & chatVisionReasoning
$5 / $25200K tokensAPI only25View
107

Nex-N2.5-Pro

Nex Agi
Text & chatVisionReasoning
No public price list262.1K tokensAPI onlyView
108

LFM2.5-2.6B

Liquid
Text & chatReasoningTool calling
No public price list65.5K tokensAPI onlyView
109

Nex-N2.5-Mini

Nex Agi
Text & chatLow latencyMultilingual
No public price list262.1K tokensAPI onlyView
110

Seed-2.0-Mini

Bytedance Seed
Text & chatVisionVideo
$0.1 / $0.4262.1K tokensAPI only0.4View
111

Aion-3.0

Aion Labs
Text & chatMultilingualProprietary API
$3 / $6131.1K tokensAPI only6View
112

Mercury 2.5

Inception
Text & chatMultilingualProprietary API
$0.04 / $0.15260K tokensAPI only0.15View
113

Nano Banana 2 (Gemini 3.1 Flash Image)

Google
VisionAdjustable thinkingImage generation
$0.5 / $3131.1K tokensAPI only3View
114

Seed 1.6 Flash

Bytedance Seed
Text & chatVisionVideo
$0.075 / $0.3262.1K tokensAPI only0.3View
115

Nano Banana 2 Lite (Gemini 3.1 Flash Lite Image)

Google
VisionAdjustable thinkingImage generation
$0.25 / $1.565.5K tokensAPI only1.5View
116

GPT-5.2-Codex

OpenAI
Text & chatVisionCoding
$1.75 / $14400K tokensAPI only14View
117

Aion-3.0-Mini

Aion Labs
Text & chatLow latencyMultilingual
$0.7 / $1.4131.1K tokensAPI only1.4View
118

Step 3.5 Flash

Stepfun
Text & chatVisionLow latency
$0.1 / $0.3262.1K tokensAPI only0.3View
119

Seed-2.0-Lite

Bytedance Seed
Text & chatVisionVideo
$0.25 / $2262.1K tokensAPI only2View
120

GPT-5.1-Codex-Mini

OpenAI
Text & chatVisionCoding
$0.25 / $2400K tokensAPI only2View

Browse by need

These 151 models are available only through the vendor own API: no weights to download, no self-hosting, no fine-tuning beyond what the vendor exposes. In exchange you get no infrastructure to run and immediate access to whatever ships next.

Prices run from $0.87 to $50 per million output tokens. The frontier tier is entirely proprietary - GPT-6 Astra, Claude Fable 5.1, Claude Opus 5 - and that gap is the honest argument for closed models. The arguments against are equally practical: pricing changes without your consent, models get retired on the vendor schedule, and your data leaves your perimeter.

No infrastructureNothing to provision, patch or scale — the vendor absorbs all of it.
The frontier lives hereEvery top-quality model today is closed. There is no open equivalent yet.
Vendor risk is realPrices change, models retire, and your data crosses a boundary.

Models with this capability

How to choose

  • Check the deprecation policy before building on a specific model version.
  • Pin snapshot versions where the vendor offers them, rather than floating aliases.
  • Read the data-retention terms if you handle personal or regulated information.
  • Keep an open-weight fallback identified, even if you never use it.

Common mistakes

Building on a floating aliasA silent model update can change behaviour overnight.
No exit planTeams discover lock-in at the moment prices rise, not before.

Who this suits

Small teamsNo GPU budget, no ops capacity, immediate access to the best models.
EnterprisesCompliance certifications and support contracts that self-hosting cannot match.
PrototypingValidating an idea before committing infrastructure.

Frequently asked questions

Why choose a closed model?

The frontier tier is entirely proprietary. If you need the best available quality, there is no open alternative yet.

What are the risks?

Pricing changes without your consent, models get retired on the vendor schedule, and your data leaves your perimeter.

What is the open alternative?

90 models in this rating publish weights — GLM, Qwen, DeepSeek, Mistral, Gemma and others.

Can I fine-tune a proprietary model?

Sometimes, within the vendor platform. You never receive the weights.

What happens when a model retires?

You migrate. Vendors publish timelines, but the work lands on you.

Frequently searched

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