Datasets:

uplinkswitch
/

llm-api-pricing

---
pretty_name: LLM API Pricing (Claude, GPT, Gemini, DeepSeek, Qwen, Kimi, GLM, Grok)
license: cc-by-4.0
language:
  - en
size_categories:
  - 1K<n<10K
tags:
  - llm
  - pricing
  - llm-pricing
  - api-pricing
  - token-pricing
  - claude
  - gpt
  - gemini
  - deepseek
  - qwen
  - openai-compatible
  - tabular
configs:
  - config_name: chat_models
    default: true
    data_files:
      - split: train
        path: data/chat_models.csv
  - config_name: media_models
    data_files:
      - split: train
        path: data/media_models.csv
  - config_name: chat_price_history
    data_files:
      - split: train
        path: data/chat_price_history.csv
---

# LLM API Pricing

Per-token API prices for <!-- chat_models -->341<!-- /chat_models --> chat models and per-image, per-second and per-generation prices for <!-- media_models -->135<!-- /media_models --> image, video,
audio and 3D models. Each row puts the model developer's own list price next to the price on
[UplinkSwitch](https://uplinkswitch.ai), an OpenAI- and Anthropic-compatible API gateway.

Every value comes from the public catalog API at `https://api.uplinkswitch.com/v1/catalog` and
`/v1/catalog/media`. It's the same feed the gateway bills from, and it needs no key. The `snapshot_at` column
shows when each row was read. Every row links to the model's price page on uplinkswitch.ai (`model_url`), and
open-weight models also link to their official weights on the Hub (`weights_repo`).

- Live, sortable version with a monthly cost calculator: [LLM API Price Comparison Space](https://huggingface.co/spaces/uplinkswitch/llm-api-price-comparison)
- Official weights for every open model here: [LLM API pricing: open-weight models](https://huggingface.co/collections/uplinkswitch/llm-api-pricing-open-weight-models-6ad45538c6a81846dff4791a)
- Same prices on the web: [uplinkswitch.ai/models](https://uplinkswitch.ai/models) · [price index (CSV/JSON)](https://uplinkswitch.ai/pricing-index) · [side-by-side comparisons](https://uplinkswitch.ai/compare)

## Configs

| Config | Rows | What one row is |
|---|---|---|
| `chat_models` (default) | <!-- chat_models -->341<!-- /chat_models --> | One chat model: list and UplinkSwitch prices per 1M input, cached-input and output tokens |
| `media_models` | <!-- media_rows -->329<!-- /media_rows --> | One price variant of an image, video, audio or 3D model (for example `resolution=2K`) |
| `chat_price_history` | <!-- history_rows -->4520<!-- /history_rows --> | One chat model on one snapshot date (<!-- history_since -->2026-10-16<!-- /history_since --> onward) |

The raw catalog responses are in `raw/catalog.json` and `raw/catalog_media.json`.

## Load it

```python
from datasets import load_dataset

chat = load_dataset("uplinkswitch/llm-api-pricing", "chat_models", split="train").to_pandas()
media = load_dataset("uplinkswitch/llm-api-pricing", "media_models", split="train").to_pandas()
history = load_dataset("uplinkswitch/llm-api-pricing", "chat_price_history", split="train").to_pandas()

# Monthly cost of 50M input + 10M output tokens, list vs UplinkSwitch
chat["list_monthly"] = 50 * chat.list_input_usd_per_1m + 10 * chat.list_output_usd_per_1m
chat["uplink_monthly"] = 50 * chat.price_input_usd_per_1m + 10 * chat.price_output_usd_per_1m
print(chat.sort_values("uplink_monthly")[["display_name", "list_monthly", "uplink_monthly"]].head(20))
```

With pandas only:

```python
import pandas as pd
chat = pd.read_csv("hf://datasets/uplinkswitch/llm-api-pricing/data/chat_models.csv")
```

## Columns

### `chat_models`

| Column | Type | Meaning |
|---|---|---|
| `model_id` | string | The `model` value to send to the API |
| `display_name` | string | Model name as the developer writes it |
| `developer` | string | Anthropic, OpenAI, Google, xAI, DeepSeek, Qwen, Moonshot AI, Z.ai, MiniMax, Xiaomi, Tencent, NVIDIA, Meta, … |
| `wire_formats` | string | API formats the model accepts, pipe-separated (`openai`, `anthropic`) |
| `list_input_usd_per_1m` | float | Developer list price, USD per 1M input tokens. Empty when the developer publishes no price |
| `list_cache_read_usd_per_1m` | float | Developer list price for cached input tokens |
| `list_output_usd_per_1m` | float | Developer list price, USD per 1M output tokens |
| `price_input_usd_per_1m` | float | UplinkSwitch price, USD per 1M input tokens |
| `price_cache_read_usd_per_1m` | float | UplinkSwitch price for cached input tokens |
| `price_output_usd_per_1m` | float | UplinkSwitch price, USD per 1M output tokens |
| `pct_under_list_input` | float | `100 × (1 − price / list)` on input, rounded to 0.1 |
| `pct_under_list_output` | float | Same, on output |
| `model_url` | string | The model's page on uplinkswitch.ai, e.g. `https://uplinkswitch.ai/models/claude-opus-5-5` |
| `weights_repo` | string | Official open weights on the Hugging Face Hub; empty for closed models |
| `snapshot_at` | string | ISO 8601 time the catalog was read |

### `media_models`

| Column | Type | Meaning |
|---|---|---|
| `model_id`, `display_name`, `developer` | string | As above (<!-- media_developers -->Alibaba, OpenAI, ByteDance, Kling, Google, Black Forest Labs, Tripo, MiniMax, xAI, UplinkSwitch, Cyberdelia, ElevenLabs, Lightricks, WAI0731, Meta, Runway, Tencent, Fish Audio, Recraft, Suno<!-- /media_developers -->) |
| `kind` | string | `image`, `video`, `audio` or `3d` |
| `unit` | string | What one price buys: `image`, `second`, `minute`, `generation` or `1k_characters` |
| `variant` | string | The parameter values this price applies to, e.g. `resolution=4K` or `duration=8, audio=True`; `default` when there is one price |
| `price_usd` | float | UplinkSwitch price per unit |
| `list_usd` | float | Developer list price per unit, empty when none is published |
| `pct_under_list` | float | `100 × (1 − price / list)` |
| `endpoints` | string | API paths that serve the model, pipe-separated |
| `model_url` | string | The model's page on uplinkswitch.ai, e.g. `https://uplinkswitch.ai/models/media/nano-banana-2` |
| `snapshot_at` | string | ISO 8601 time the catalog was read |

### `chat_price_history`

`snapshot_date`, `model_id`, `display_name`, `list_input_usd_per_1m`, `list_output_usd_per_1m`,
`price_input_usd_per_1m`, `price_output_usd_per_1m`. Use it to track list-price and gateway-price changes over time.

## Example rows (<!-- snapshot_date -->2026-11-03<!-- /snapshot_date -->)

<!-- examples -->

| Model | List in / out ($/1M) | UplinkSwitch in / out ($/1M) | Family pricing |
|---|---|---|---|
| [Claude Opus 5.5](https://uplinkswitch.ai/models/claude-opus-5-5) | 4 / 20 | 2.80 / 10.00 | [All Claude models](https://uplinkswitch.ai/pricing/claude) |
| [GPT-6.1 Sol](https://uplinkswitch.ai/models/gpt-6.1-sol) | 2 / 10 | 0.60 / 3.00 | [All GPT models](https://uplinkswitch.ai/pricing/gpt) |
| [Gemini 3.1 Pro Preview](https://uplinkswitch.ai/models/gemini-3.1-pro-preview) | 2 / 12 | 1.20 / 7.20 | [All Gemini models](https://uplinkswitch.ai/pricing/gemini) |
| [DeepSeek V4 Pro](https://uplinkswitch.ai/models/deepseek-v4-pro) | 1.32 / 3.96 | 0.792 / 2.376 | [All DeepSeek models](https://uplinkswitch.ai/pricing/deepseek) |
| [Kimi K3](https://uplinkswitch.ai/models/kimi-k3) | 3 / 15 | 0.90 / 4.50 | [All Kimi models](https://uplinkswitch.ai/pricing/kimi) |
| [Qwen3.7 Max](https://uplinkswitch.ai/models/qwen3.7-max) | 1.475 / 4.425 | 0.64706 / 1.941176 | [All Qwen models](https://uplinkswitch.ai/pricing/qwen) |
| [GLM-5.3](https://uplinkswitch.ai/models/glm-5.3) | 1.092 / 3.432 | 0.3276 / 1.0296 | [All GLM models](https://uplinkswitch.ai/pricing/glm) |
| [Grok 4.7](https://uplinkswitch.ai/models/grok-4.7) | 2 / 6 | 0.60 / 1.80 | [All Grok models](https://uplinkswitch.ai/pricing/grok) |

<!-- /examples -->

<!-- stats -->

In this snapshot, 84 of the 341 chat models have a published list price. The median UplinkSwitch output price is
55.65% under list. Cached input costs more than list on nine models (`claude-fable-5.1`, `deepseek-v4-flash-0731`,
`deepseek-v4-pro-0813`, `deepseek-v4.1-flash`, `glm-5.1`, `gpt-5.3-codex`, `gpt-6-luna`, `grok-4.3`, `mimo-v2.6-pro`),
so check the cache column if your workload is cache-heavy.

<!-- /stats -->

## Open-weight models: weights and API price

<!-- open_weights -->

| Model | Weights on the Hub | API price page |
|---|---|---|
| DeepSeek V4 Pro | [deepseek-ai/DeepSeek-V4-Pro](https://huggingface.co/deepseek-ai/DeepSeek-V4-Pro) | [deepseek-v4-pro](https://uplinkswitch.ai/models/deepseek-v4-pro) |
| DeepSeek V4 Flash | [deepseek-ai/DeepSeek-V4-Flash](https://huggingface.co/deepseek-ai/DeepSeek-V4-Flash) | [deepseek-v4-flash](https://uplinkswitch.ai/models/deepseek-v4-flash) |
| DeepSeek V4 Flash 0731 | [deepseek-ai/DeepSeek-V4-Flash-0731](https://huggingface.co/deepseek-ai/DeepSeek-V4-Flash-0731) | [deepseek-v4-flash-0731](https://uplinkswitch.ai/models/deepseek-v4-flash-0731) |
| DeepSeek V4 Flash Vision (exp) | [deepseek-ai/DeepSeek-V4-Flash-Vision-Exp](https://huggingface.co/deepseek-ai/DeepSeek-V4-Flash-Vision-Exp) | [deepseek-v4-flash-vision-exp](https://uplinkswitch.ai/models/deepseek-v4-flash-vision-exp) |
| DeepSeek V4.1 Flash | [deepseek-ai/DeepSeek-V4.1-Flash](https://huggingface.co/deepseek-ai/DeepSeek-V4.1-Flash) | [deepseek-v4.1-flash](https://uplinkswitch.ai/models/deepseek-v4.1-flash) |
| DeepSeek V4.1 Flash 1017 | [deepseek-ai/DeepSeek-V4.1-Flash-1017](https://huggingface.co/deepseek-ai/DeepSeek-V4.1-Flash-1017) | [deepseek-v4.1-flash-1017](https://uplinkswitch.ai/models/deepseek-v4.1-flash-1017) |
| GLM-5.3 | [zai-org/GLM-5.3](https://huggingface.co/zai-org/GLM-5.3) | [glm-5.3](https://uplinkswitch.ai/models/glm-5.3) |
| GLM-5.3 Flash | [zai-org/GLM-5.3-Flash](https://huggingface.co/zai-org/GLM-5.3-Flash) | [glm-5.3-flash](https://uplinkswitch.ai/models/glm-5.3-flash) |
| GLM-5.2 | [zai-org/GLM-5.2](https://huggingface.co/zai-org/GLM-5.2) | [glm-5.2](https://uplinkswitch.ai/models/glm-5.2) |
| GLM-5.1 | [zai-org/GLM-5.1](https://huggingface.co/zai-org/GLM-5.1) | [glm-5.1](https://uplinkswitch.ai/models/glm-5.1) |
| Kimi K3 | [moonshotai/Kimi-K3](https://huggingface.co/moonshotai/Kimi-K3) | [kimi-k3](https://uplinkswitch.ai/models/kimi-k3) |
| Kimi K2.6 | [moonshotai/Kimi-K2.6](https://huggingface.co/moonshotai/Kimi-K2.6) | [kimi-k2.6](https://uplinkswitch.ai/models/kimi-k2.6) |
| Qwen3.6 27B | [Qwen/Qwen3.6-27B](https://huggingface.co/Qwen/Qwen3.6-27B) | [qwen3.6-27b](https://uplinkswitch.ai/models/qwen3.6-27b) |
| MiniMax M2.7 | [MiniMaxAI/MiniMax-M2.7](https://huggingface.co/MiniMaxAI/MiniMax-M2.7) | [minimax-m2.7](https://uplinkswitch.ai/models/minimax-m2.7) |
| MiniMax M2.5 | [MiniMaxAI/MiniMax-M2.5](https://huggingface.co/MiniMaxAI/MiniMax-M2.5) | [minimax-m2.5](https://uplinkswitch.ai/models/minimax-m2.5) |
| MiMo V2.5 | [XiaomiMiMo/MiMo-V2.5](https://huggingface.co/XiaomiMiMo/MiMo-V2.5) | [mimo-v2.5](https://uplinkswitch.ai/models/mimo-v2.5) |
| Kimi K2.5 | [moonshotai/Kimi-K2.5](https://huggingface.co/moonshotai/Kimi-K2.5) | [kimi-k2.5](https://uplinkswitch.ai/models/kimi-k2.5) |

<!-- /open_weights -->

## Read more

Pricing write-ups that use this data, one per model family:

- [LLM API pricing comparison, October 2026](https://uplinkswitch.ai/blog/llm-api-pricing-2026)
- [Claude API pricing](https://uplinkswitch.ai/blog/claude-api-pricing) · [GPT API pricing](https://uplinkswitch.ai/blog/gpt-api-pricing) · [Gemini API pricing](https://uplinkswitch.ai/blog/gemini-api-pricing) · [Grok API pricing](https://uplinkswitch.ai/blog/grok-api-pricing)
- [DeepSeek API pricing](https://uplinkswitch.ai/blog/deepseek-api-pricing) · [Kimi API pricing](https://uplinkswitch.ai/blog/kimi-api-pricing) · [GLM API pricing](https://uplinkswitch.ai/blog/glm-api-pricing) · [Qwen API pricing](https://uplinkswitch.ai/blog/qwen-api-pricing)
- [What Claude Code costs on API billing](https://uplinkswitch.ai/blog/claude-code-api-cost) · [Using Cursor with your own API key: what it costs](https://uplinkswitch.ai/blog/cursor-api-key-cost) · [Kimi, GLM and Qwen coding plans vs pay-per-token API](https://uplinkswitch.ai/blog/coding-plans-vs-api)
- [The hidden prompt tokens in cheap LLM APIs](https://uplinkswitch.ai/blog/hidden-prompt-tokens) · [A free AI API: $1 of credit for Claude, GPT, Gemini and more](https://uplinkswitch.ai/blog/free-ai-api)
- Image and video prices: [media models](https://uplinkswitch.ai/models/media) · [Veo 3.1 guide](https://uplinkswitch.ai/guides/veo-3-1) · [Nano Banana Pro guide](https://uplinkswitch.ai/guides/nano-banana-pro)

## How it's built

`scripts/build.py` reads the two catalog endpoints and writes every file in `data/` and `raw/`. It has no
dependencies beyond the Python standard library. Run `python scripts/build.py <out_dir>` to rebuild it yourself.
List prices are the model developers' own published per-token prices; the catalog stores them next to the
gateway price so the two can be compared row by row.

## Limitations

- Prices change. Trust `snapshot_at`, and for a live figure read the catalog API or
  [uplinkswitch.ai/models](https://uplinkswitch.ai/models).
- List prices are standard-tier, non-batch prices. Batch, priority, long-context and regional tiers aren't included.
- Open-weight fine-tunes and community models often have no developer list price, so their list columns are empty.
- Volume discounts (3% from 100M tokens, 6% from 1B, 10% from 10B per month) aren't applied in the price columns.

## Use the prices

The same key and base URL work with the OpenAI and Anthropic SDKs:

```python
from openai import OpenAI

client = OpenAI(base_url="https://api.uplinkswitch.com/v1", api_key="sk-uplink-live-...")
reply = client.chat.completions.create(model="claude-opus-5-5", messages=[{"role": "user", "content": "hi"}])
```

- Python package: [`pip install uplinkswitch`](https://pypi.org/project/uplinkswitch/)
- SDK setup (OpenAI, Anthropic, Gemini): [uplinkswitch.ai/guides/sdks](https://uplinkswitch.ai/guides/sdks)
- Coding tools: [Claude Code](https://uplinkswitch.ai/guides/claude-code) · [Cursor](https://uplinkswitch.ai/guides/cursor) · [Cline](https://uplinkswitch.ai/guides/cline) · [Roo Code](https://uplinkswitch.ai/guides/roo-code) · [Kilo Code](https://uplinkswitch.ai/guides/kilo-code) · [OpenCode](https://uplinkswitch.ai/guides/opencode)
- Daily token-count check of every model: [uplinkswitch.ai/proof](https://uplinkswitch.ai/proof)
- Verify a signed usage statement: [uplinkswitch.ai/statements/verify](https://uplinkswitch.ai/statements/verify)
- Savings calculator: [uplinkswitch.ai/savings](https://uplinkswitch.ai/savings)
- Get a key (prepaid from $10, no subscription): [uplinkswitch.ai/console](https://uplinkswitch.ai/console)
- Source and issues: [github.com/uplinkswitch](https://github.com/uplinkswitch)

## License and citation

CC BY 4.0. Please credit "UplinkSwitch LLM API Pricing dataset" with a link to this page.

```bibtex
@misc{uplinkswitch_llm_api_pricing,
  title  = {LLM API Pricing},
  author = {{Uplink Switch LLC}},
  year   = {2026},
  url    = {https://huggingface.co/datasets/uplinkswitch/llm-api-pricing}
}
```


## Where to use these prices

The same catalog is sold on three sites run by Uplink Switch LLC, each with one API key and prepaid credit:

- [uplinkswitch.ai](https://uplinkswitch.ai): every model in this dataset, OpenAI, Anthropic and Gemini request formats.
- [uncensoredllm.ai](https://uncensoredllm.ai): the uncensored and abliterated builds only, with a [daily-checked leaderboard](https://uncensoredllm.ai/blog/uncensored-llm-leaderboard).
- [relayswitch.io](https://relayswitch.io): the catalog paid in USDT, USDC, BTC, ETH or SOL, [no KYC](https://relayswitch.io/no-kyc).