Agentica: Deepcoder 14B Preview

Text input Text output Free Option
Author's Description

DeepCoder-14B-Preview is a 14B parameter code generation model fine-tuned from DeepSeek-R1-Distill-Qwen-14B using reinforcement learning with GRPO+ and iterative context lengthening. It is optimized for long-context program synthesis and achieves strong performance across coding benchmarks, including 60.6% on LiveCodeBench v5, competitive with models like o3-Mini

Key Specifications
Cost
$
Context
96K
Parameters
14B
Released
Apr 13, 2025
Speed
Ability
Reliability
Supported Parameters

This model supports the following parameters:

Reasoning Include Reasoning Seed Top P Temperature Top Logprobs Logit Bias Logprobs Stop Min P Max Tokens Frequency Penalty Presence Penalty
Features

This model supports the following features:

Reasoning
Performance Summary

Agentica: Deepcoder 14B Preview, a 14B parameter code generation model, demonstrates strong performance in specific areas, particularly in its core competency of coding. While its speed ranking places it in the 19th percentile, indicating generally longer response times, the model consistently offers highly competitive pricing, ranking in the 90th percentile. Reliability is a significant strength, with an 89% success rate across benchmarks, suggesting consistent operational stability. Analyzing benchmark results, Deepcoder 14B Preview excels in the Coding (Baseline) category, achieving 84.7% accuracy, placing it in the 59th percentile. This aligns with its optimization for long-context program synthesis. It also shows perfect accuracy in one instance of Instruction Following, highlighting its potential in structured tasks. However, the model exhibits notable weaknesses in Hallucinations (60.0% accuracy, 12th percentile) and Reasoning (46.0% accuracy, 31st percentile), indicating challenges with uncertainty acknowledgment and complex problem-solving. General Knowledge (84.0% accuracy, 25th percentile) and Email Classification (94.0% accuracy, 31st percentile) also show room for improvement compared to top-tier models. Its strength lies in its specialized coding capabilities and cost-effectiveness, making it a compelling option for code-centric applications where budget is a key consideration.

Model Pricing

Current Pricing

Feature Price (per 1M tokens)
Prompt $0.015
Completion $0.015

Price History

Available Endpoints
Provider Endpoint Name Context Length Pricing (Input) Pricing (Output)
Chutes
Chutes | agentica-org/deepcoder-14b-preview 96K $0.015 / 1M tokens $0.015 / 1M tokens
Benchmark Results
Benchmark Category Reasoning Strategy Free Executions Accuracy Cost Duration