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
61

Magistral Medium 1.2

Mistral AI
Text & chatStructured JSON outputPrompt caching
128K tokensAPI onlyView
62

Command A+

Cohere
Text & chatVisionReasoning
$17.50–$32.50 / hr¹128K tokensAPI onlyView
63

Command A Reasoning

Cohere
Text & chatReasoningTool calling
API onlyView
64

Command A Vision

Cohere
Text & chatVisionReasoning
128K tokensAPI onlyView
65

Command A Translate

Cohere
Text & chatReasoningTranslation
API onlyView
66

Command R+

Cohere
Text & chatMultilingualProprietary API
$2.5 / $10API only10View
67

Command R

Cohere
Text & chatMultilingualProprietary API
API onlyView
68

Command R7B

Cohere
Text & chatMultilingualProprietary API
128K tokensAPI onlyView
69

North Mini Code

Cohere
Text & chatCodingLow latency
256K tokensAPI onlyView
70

Jamba2 Mini

AI21 Labs
Text & chatReasoningTool calling
256K tokensAPI onlyView
71

Jamba2 3B

AI21 Labs
Text & chatReasoningTool calling
256K tokensAPI onlyView
72

Nova 2 Lite

Amazon
Text & chatVisionVideo
$0.3 / $2.5256K tokensAPI only2.5View
73

Nova Premier

Amazon
Text & chatVisionVideo
API onlyView
74

Nova Pro

Amazon
Text & chatVisionVideo
300K tokensAPI onlyView
75

Nova Lite

Amazon
Text & chatVisionVideo
300K tokensAPI onlyView
76

Nova Micro

Amazon
Text & chatLow latencyMultilingual
128K tokensAPI onlyView
77

Nova 2 Sonic

Amazon
Text & chatAudioRealtime voice
API onlyView
78

Nova Sonic

Amazon
Text & chatAudioRealtime voice
API onlyView
79

ERNIE 5.1

Baidu
Text & chatReasoningTool calling
$0.56 / $2.53API only2.53View
80

ERNIE 5.0

Baidu
Text & chatVisionReasoning
$1.4 / $5.6119K tokensAPI only5.6View

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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