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LLM Price vs Performance Chart

Find the most cost-effective AI model. Each dot is an LLM plotted by its provisional benchmark score (higher is better) against output token price (lower is better). Models on the efficiency frontier offer the best value at their price point.

Best Value

DeepSeek V4 Flash (Max)

Score/$: 271.4 · $0.28/1M out

Highest Score

Claude Mythos Preview

Score: 99 · $125.00/1M out

Cheapest Ranked

DeepSeek V4 Flash (Max)

Score: 76 · $0.28/1M out

Score Axis
Source Type
Price Range
Efficiency Frontier

Top 10 Best Value Models (Overall)

Ranked by Score/$ ratio (benchmark score per dollar of output token cost)

#ModelScoreOutput $/1MScore/$
1DeepSeek V4 Flash (Max)

DeepSeek

76$0.28271.4
2DeepSeek V4 Flash (High)

DeepSeek

71$0.28253.6
3DeepSeek V4 Flash

DeepSeek

59$0.28210.7
4Grok 4.1 Fast

xAI

70$0.50140.0
5DeepSeek V3.2

DeepSeek

58$0.42138.1
6GPT-4o mini

OpenAI

50$0.6083.3
7GPT-4.1 nano

OpenAI

27$0.4067.5
8MiniMax M2.7

MiniMax

62$1.2051.7
9DeepSeek V3

DeepSeek

36$1.1032.7
10Mistral Large 3

Mistral

49$1.5032.7

Frequently Asked Questions

What is the LLM price-performance chart?

This chart plots each AI model by its benchmark score (vertical axis) against its API output price per million tokens (horizontal axis). Models in the upper-left quadrant offer the best value — high performance at low cost. The efficiency frontier line connects the best-value models at each price point.

What is the efficiency frontier?

The efficiency frontier (Pareto frontier) connects models where no other model offers both a higher score and a lower price. Models on this line represent the optimal price-performance tradeoff. If a model is below and to the right of the frontier, there exists a cheaper model with a better score.

Which LLM has the best price-to-performance ratio?

Currently, DeepSeek V4 Flash (Max) by DeepSeek offers the best overall value with a Score/$ ratio of 271.4. This means you get 271.4 benchmark points per dollar of output token cost.

How are scores calculated?

Overall scores shown in this chart use BenchLM's provisional ranking lane: a normalized weighted average across 8 benchmark categories, with bounded external calibration. The verified leaderboard is stricter and sourced-only, but this price-performance surface intentionally stays broader so value comparisons cover more models.

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