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
81

ERNIE 4.5 Turbo VL

Baidu
Text & chatVisionReasoning
128K tokensAPI onlyView
82

Tencent HY Vision 1.5 Instruct

Tencent
Text & chatVisionMultilingual
API onlyView
83

Doubao Seed Evolving

ByteDance
Text & chatReasoningTool calling
API onlyView
84

Doubao Seed 2.1 Turbo

ByteDance
Text & chatReasoningTool calling
API onlyView
85

Doubao Seed 2.0 Code

ByteDance
Text & chatVisionCoding
API onlyView
86

Doubao Seed 2.0 Lite

ByteDance
Text & chatVisionReasoning
API onlyView
87

Doubao Seed 2.0 Mini

ByteDance
Text & chatVisionReasoning
API onlyView
88

Doubao Seed Vision

ByteDance
Text & chatVisionReasoning
API onlyView
89

Hy3

Tencent
Text & chatMultilingualProprietary API
$0.132 / $0.528262.1K tokensAPI only0.528View
90

Laguna S 2.1

Poolside
Text & chatCodingLong context 1M+
$0.09 / $0.181.05M tokensAPI only0.18View
91

Ling 3.0 Flash Fin

InclusionAI
Text & chatVisionLow latency
$0.06 / $0.18262.1K tokensAPI only0.18View
92

Step 3.7 Flash

Stepfun
Text & chatVisionVideo
$0.2 / $1.15262.1K tokensAPI only1.15View
93

GPT-5.6 Luna Pro

OpenAI
Text & chatVisionReasoning
$0.2 / $1.21.05M tokensAPI only1.2View
94

Muse Spark 1.3

Meta
Text & chatVisionAudio
$1.25 / $4.251.05M tokensAPI only4.25View
95

Ling 3.0 Flash Sante

InclusionAI
Text & chatVisionLow latency
$0 / $0262.1K tokensAPI only0View
96

Claude Opus 4.6

Anthropic
Text & chatVisionReasoning
$5 / $251M tokensAPI only25View
97

Ling 3.0 Flash

InclusionAI
Text & chatVisionLow latency
$0.021 / $0.063262.1K tokensAPI only0.063View
98

GPT-5.6 Sol Pro

OpenAI
Text & chatVisionReasoning
$2 / $101.05M tokensAPI only10View
99

Laguna XS 2.1

Poolside
Text & chatCodingMultilingual
$0.06 / $0.12262.1K tokensAPI only0.12View
100

GPT-6 Astra Pro

OpenAI
Text & chatVisionReasoning
$10 / $501.05M tokensAPI only50View

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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