TokenPricing vs Loops
A side-by-side comparison built from both listings. Blank cells mean the company has not given that detail; we never guess.
TokenPricing compared with Loops
| Detail | 
TokenPricing | 
Loops |
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| What it does | Compare LLM API pricing across providers and models
| Python SDK for LoRA fine-tuning with supervised fine-tuning and reinforcement learning
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| Stage | Not given
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| Founded | Not given
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| Based in | Not given
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| Pricing model | Free
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| Pricing | Not given
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| Key features | - Compare pricing across 234 LLM providers
- View input, output and cached token pricing
- Track 628 LLM models
- Access source-linked pricing information
- Calculate monthly API budget
- View pricing by context window
- Filter by popular models
| - forward_backward() operation for computing loss and accumulating gradients
- optim_step() for updating the adapter
- sample() for generating from current or saved policy
- save_state() to save and resume training state
- Tinker API compatibility
- Separate trainer and sampler resources
- Synchronous and asynchronous RL patterns
- Frozen base model weights with LoRA adapter updates
- Support for open models from Qwen, Google, DeepSeek, Moonshot AI, NVIDIA, and Z.ai
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| What makes it different | - All pricing sourced with transparent links to original provider pages
- Covers 9,593 pricing offers across models and providers
- Separates input, output and cache-read pricing
- Includes context window metadata for each model
| - Managed training and sampling infrastructure, no setup required
- Tinker-compatible API for easy migration
- Ready-made SFT and RL recipes through Loops cookbook
- Support for vision-language models
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| Community votes | 0 | 0 |
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| DR (Domain Rating by Ahrefs) | 12 ▲ +1 (up) since last check | 77 ● no change since last check |
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| Trust Flow (Majestic) | 6 | 13 |
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| Citation Flow (Majestic) | 24 | 43 |
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| Referring domains (Majestic) | 17 | 550 |
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3 details filled in for both companies.
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