Live · updated 7 hr ago 352 Models Tracked

The LLM Price Index

Every major large language model, normalized to dollars per million tokens. Scored on value, cheapness, and frontier capability. Independent, automated, refreshed daily.

Models 352
Providers 20+
Free Tier Models 27
Median Price / Mtok $0.700

What this is

The LLM Price Index is a live, independently maintained price comparison for every large language model offered through the OpenRouter catalog. Input and output pricing is normalized to dollars per million tokens, blended 3:1 to produce a single comparable figure, and scored 0–10 on three axes: value, cheapness, and frontier capability. The cheapest paid model right now is Ling-2.6-flash at $0.015 per million tokens (3:1 blended).

DeepSeek V4 Flash (free)

9.0/10
DeepSeek · deepseek/deepseek-v4-flash:free
Free Input /Mtok
Free Output /Mtok
Free Blended 3:1

DeepSeek V4 Flash is an efficiency-optimized Mixture-of-Experts model from DeepSeek with 284B total parameters and 13B activated parameters, supporting a 1M-token context…

10.0Value
10.0Cheap
6.5Frontier
Text Free Open weights 1.0M ctx Tools Reasoning

DeepSeek V4 Flash

8.2/10
DeepSeek · deepseek/deepseek-v4-flash
$0.100 Input /Mtok
$0.200 Output /Mtok
$0.125 Blended 3:1

DeepSeek V4 Flash is an efficiency-optimized Mixture-of-Experts model from DeepSeek with 284B total parameters and 13B activated parameters, supporting a 1M-token context…

10.0Value
7.8Cheap
6.5Frontier
Text Open weights 1.0M ctx Tools Reasoning #40 cheapest

DeepSeek V4 Pro

7.6/10
DeepSeek · deepseek/deepseek-v4-pro
$0.435 Input /Mtok
$0.870 Output /Mtok
$0.544 Blended 3:1

DeepSeek V4 Pro is a large-scale Mixture-of-Experts model from DeepSeek with 1.6T total parameters and 49B activated parameters, supporting a 1M-token context…

9.7Value
6.5Cheap
6.5Frontier
Reasoning Open weights 1.0M ctx Tools

DeepSeek V3.2

6.1/10
DeepSeek · deepseek/deepseek-v3.2
$0.252 Input /Mtok
$0.378 Output /Mtok
$0.284 Blended 3:1

DeepSeek-V3.2 is a large language model designed to harmonize high computational efficiency with strong reasoning and agentic tool-use performance. It introduces DeepSeek…

7.4Value
7.1Cheap
3.5Frontier
Reasoning Open weights 131K ctx Tools

DeepSeek V3.2 Exp

5.8/10
DeepSeek · deepseek/deepseek-v3.2-exp
$0.270 Input /Mtok
$0.410 Output /Mtok
$0.305 Blended 3:1

DeepSeek-V3.2-Exp is an experimental large language model released by DeepSeek as an intermediate step between V3.1 and future architectures. It introduces DeepSeek…

7.3Value
7.0Cheap
2.5Frontier
Text Open weights 164K ctx Tools Reasoning

DeepSeek V3.1

5.6/10
DeepSeek · deepseek/deepseek-chat-v3.1
$0.210 Input /Mtok
$0.790 Output /Mtok
$0.355 Blended 3:1

DeepSeek-V3.1 is a large hybrid reasoning model (671B parameters, 37B active) that supports both thinking and non-thinking modes via prompt templates. It…

7.0Value
6.9Cheap
2.5Frontier
Reasoning Open weights 164K ctx Tools

DeepSeek V3.1 Terminus

5.4/10
DeepSeek · deepseek/deepseek-v3.1-terminus
$0.270 Input /Mtok
$0.950 Output /Mtok
$0.440 Blended 3:1

DeepSeek-V3.1 Terminus is an update to [DeepSeek V3.1](/deepseek/deepseek-chat-v3.1) that maintains the model's original capabilities while addressing issues reported by users, including language…

6.6Value
6.7Cheap
2.5Frontier
Text Open weights 164K ctx Tools Reasoning

DeepSeek V3 0324

5.3/10
DeepSeek · deepseek/deepseek-chat-v3-0324
$0.200 Input /Mtok
$0.770 Output /Mtok
$0.343 Blended 3:1

DeepSeek V3, a 685B-parameter, mixture-of-experts model, is the latest iteration of the flagship chat model family from the DeepSeek team. It succeeds…

7.0Value
6.9Cheap
1.5Frontier
Text Open weights 164K ctx Tools

DeepSeek V3.2 Speciale

5.3/10
DeepSeek · deepseek/deepseek-v3.2-speciale
$0.287 Input /Mtok
$0.431 Output /Mtok
$0.323 Blended 3:1

DeepSeek-V3.2-Speciale is a high-compute variant of DeepSeek-V3.2 optimized for maximum reasoning and agentic performance. It builds on DeepSeek Sparse Attention (DSA) for…

5.0Value
7.0Cheap
3.5Frontier
Reasoning Open weights 164K ctx

DeepSeek V3

5.2/10
DeepSeek · deepseek/deepseek-chat
$0.229 Input /Mtok
$0.914 Output /Mtok
$0.400 Blended 3:1

DeepSeek-V3 is the latest model from the DeepSeek team, building upon the instruction following and coding abilities of the previous versions. Pre-trained…

6.7Value
6.8Cheap
1.5Frontier
Text Open weights 131K ctx Tools

R1 0528

4.8/10
DeepSeek · deepseek/deepseek-r1-0528
$0.500 Input /Mtok
$2.15 Output /Mtok
$0.913 Blended 3:1

May 28th update to the [original DeepSeek R1](/deepseek/deepseek-r1) Performance on par with [OpenAI o1](/openai/o1), but open-sourced and with fully open reasoning tokens.…

5.5Value
6.1Cheap
2.5Frontier
Reasoning Open weights 164K ctx Tools

R1 Distill Qwen 32B

4.8/10
DeepSeek · deepseek/deepseek-r1-distill-qwen-32b
$0.290 Input /Mtok
$0.290 Output /Mtok
$0.290 Blended 3:1

DeepSeek R1 Distill Qwen 32B is a distilled large language model based on [Qwen 2.5 32B](https://huggingface.co/Qwen/Qwen2.5-32B), using outputs from [DeepSeek R1](/deepseek/deepseek-r1). It…

5.2Value
7.1Cheap
1.5Frontier
Reasoning Open weights 128K ctx

R1

4.6/10
DeepSeek · deepseek/deepseek-r1
$0.700 Input /Mtok
$2.50 Output /Mtok
$1.15 Blended 3:1

DeepSeek R1 is here: Performance on par with [OpenAI o1](/openai/o1), but open-sourced and with fully open reasoning tokens. It's 671B parameters in…

5.2Value
5.9Cheap
2.5Frontier
Reasoning Open weights 164K ctx Tools

R1 Distill Llama 70B

3.8/10
DeepSeek · deepseek/deepseek-r1-distill-llama-70b
$0.700 Input /Mtok
$0.800 Output /Mtok
$0.725 Blended 3:1

DeepSeek R1 Distill Llama 70B is a distilled large language model based on [Llama-3.3-70B-Instruct](/meta-llama/llama-3.3-70b-instruct), using outputs from [DeepSeek R1](/deepseek/deepseek-r1). The model combines…

3.2Value
6.3Cheap
1.5Frontier
Reasoning Open weights 131K ctx

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Price drops, new models, deprecations

Every Tuesday: which models got cheaper, which launched, which got pulled. Five minutes. No filler.

Three axes, one overall score

  • Value (35%) — capability per dollar. Context length, vision, tools, and structured-output support divided by log-scaled blended price.
  • Cheapness (35%) — raw affordability. Free models score 10. Paid models use an inverse log curve anchored at $0.01 / Mtok.
  • Frontier (30%) — how close to the state of the art. Recent releases, long context windows, and premium pricing all contribute.

Blended price formula

  • Most production workloads are input-heavy, so the index uses a 3:1 blended price: (input × 0.75) + (output × 0.25).
  • All prices are normalized to dollars per million tokens. OpenRouter publishes per-token figures which we multiply by 1,000,000 before display.

Where does the pricing data come from?

Every model and price on this page is sourced from OpenRouter's public models API, which aggregates pricing directly from model providers including Anthropic, OpenAI, Google, Mistral, Meta, xAI, DeepSeek, and dozens of others. The pipeline re-fetches and re-scores the entire catalog once per day.

Why normalize to $/million tokens?

Model providers publish prices in inconsistent units — per 1K tokens, per million tokens, per character, sometimes per request. Comparing them directly is error-prone. Dollars per million tokens is the industry's most common reporting unit and makes cross-provider comparisons immediate and honest.

What does "3:1 blended" mean?

Most production LLM workloads are input-heavy — context, RAG retrievals, system prompts — while output is comparatively short. A 3:1 input:output ratio is the informal industry convention for producing a single number that reflects typical cost: (input × 0.75) + (output × 0.25). Your actual ratio may differ; always check both input and output columns for workloads with long generations.

What's the cheapest LLM right now?

The cheapest paid model as of the latest scan is Ling-2.6-flash from Inclusionai at $0.015 per million tokens (3:1 blended). Sort by "Cheapest" above for the full ranking. Many providers also offer free-tier variants of their models, which score a perfect 10 on the cheapness axis.

Is this affiliated with OpenRouter or any provider?

No. MegaOne AI is independent. OpenRouter is used as a public data source because their models API is the most complete and up-to-date LLM catalog available, but this directory is not operated by OpenRouter and we rate all models — including ones that compete with one another.

How often does the price index update?

A full re-fetch, re-score, and daily snapshot runs once per 24 hours. Snapshots are written to a history table so we can build price-over-time charts and detect drops. New models typically appear within 24 hours of being added to OpenRouter.

Is it free to use?

Yes. Browsing, filtering, sorting, and searching the entire price index is free. The weekly email briefing is free. There is no account required and no paywall.