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DeepSeek mit_+_model_license_(commercial_use_allowed) Released Mar 25, 2025 Updated

DeepSeek-V3 0324

ToolsGuide Scores, rankings, test results and price.

Model summary

  • Text #197 / 416

    242 / 1,000

    ToolsGuide Score· votes 285, tests 210

  • Price per 1M tokens

    In $0.24· Out $0.90

    $0.24

    Input · median text model $0.43

Summary

DeepSeek-V3 0324 is DeepSeek's model, released Mar 25, 2025. It's ranked in 1 category and does best at text: #197 of 416, with a ToolsGuide Score of 242 against a median of 235.

It costs $0.24 per million input tokens and $0.90 per million output tokens, below the median text model ($0.43).

It has published results on 5 tests.

Specifications

Creator
DeepSeek
Licence
mit_+_model_license_(commercial_use_allowed)
Released
Mar 25, 2025
Context window
164K tokens
Input price
$0.24 / 1M
Output price
$0.90 / 1M
Tests reported
5
Settings ranked
deepseek-v3-0324

Model comparison

Against the ten best text models.

Text score

ToolsGuide Score out of 1,000 · Higher is better

Input price

USD per 1M input tokens · Lower is better

Leaderboards

Where DeepSeek-V3 0324 sits among the top 20 in each category.

Text

#197 of 416 · ToolsGuide Score out of 1,000, where 1,000 is a flawless model

Full text leaderboard →

By task

Scored from votes on each kind of prompt alone, on the same 1,000-point scale.

Score against price

Text · the 10 priced models ranked closest · up and to the left is better value

Against its nearest rivals

Text prompts by kind · ToolsGuide Score from votes · hover for values

Text

deepseek-v3-0324 · hover a bar for its rank

Test results

Every test DeepSeek-V3 0324 has a published result on, out of 100%, with its rank among the models that took it.

  • GPQA

    #155 / 256

    Graduate-level science questions written to be hard to look up.

    68.4%

    Self-reported

  • MMLU-Pro

    #52 / 142

    Broad knowledge and reasoning across 14 subjects, ten answer choices each.

    81.2%

    Self-reported

  • LiveCodeBench

    #50 / 76

    LiveCodeBench is a holistic and contamination-free evaluation benchmark for large language models for code. It continuously collects new problems from programming contests (LeetCode, AtCoder, CodeForces) and evaluates four different scenarios: code generation, self-repair, code execution, and test output prediction. Problems are annotated with release dates to enable evaluation on unseen problems released after a model's training cutoff.

    49.2%

    Self-reported

  • AIME 2024

    #45 / 54

    American Invitational Mathematics Examination 2024, consisting of 30 challenging mathematical reasoning problems from AIME I and AIME II competitions. Each problem requires an integer answer between 0-999 and tests advanced mathematical reasoning across algebra, geometry, combinatorics, and number theory. Used as a benchmark for evaluating mathematical reasoning capabilities in large language models at Olympiad-level difficulty.

    59.4%

    Self-reported

  • MATH-500

    #23 / 34

    MATH-500 is a subset of the MATH dataset containing 500 challenging competition mathematics problems from AMC 10, AMC 12, AIME, and other mathematics competitions. Each problem includes full step-by-step solutions and spans multiple difficulty levels across seven mathematical subjects including Prealgebra, Algebra, Number Theory, Counting and Probability, Geometry, Intermediate Algebra, and Precalculus.

    94.0%

    Self-reported