Qwen: Qwen2.5 Coder 7B Instruct

Qwen: Qwen2.5 Coder 7B Instruct

qwen · Released Apr 15, 2025 Emerging
Intelligence #284 / 544
29.9 Our Score
AA Index #301 / 362
10.0 Artificial Analysis
Input #125 / 544
$0.030 per 1M tokens
Output #127 / 544
$0.090 per 1M tokens
Context #356 / 544
32,768 tokens

Analysis Summary

Qwen: Qwen2.5 Coder 7B Instruct sits in the Emerging tier on our leaderboard, ranked #284 of 544 published models on overall intelligence. At $0.030 input and $0.090 output per 1M tokens, it is among the most expensive on the market. It offers a mid-sized context window.

Editorial notes

Qwen2.5 Coder 7B Instruct is a small, low-cost coding model with limited benchmark performance and a 32K context, suited only to lightweight code completion tasks at minimal cost.

Assessed May 5, 2026

Rankings consider pricing, capabilities, benchmarks, and real-world applicability and are refreshed as new models launch. Feedback?

Performance Profile

Intelligence2.2Technical0Value7.8Content2.5
Intelligence 2.2/10
Technical 0/10
Content 2.5/10
Value 7.8/10

Qwen2.5-Coder-7B-Instruct is a 7B parameter instruction-tuned language model optimized for code-related tasks such as code generation, reasoning, and bug fixing. Based on the Qwen2.5 architecture, it incorporates enhancements like RoPE,..

7B Parameters

Performance Indices

Source: Artificial Analysis

10 Intelligence Index

Benchmark Scores

Intelligence

GPQA Diamond 33.9% Graduate-level scientific reasoning
HLE 4.8% Humanity's Last Exam
MMLU Pro 47.3% Multi-task language understanding
MATH 500 66% Mathematical problem-solving
AIME 5.3% Competition mathematics
SciCode 14.8% Scientific computing

Technical

LiveCodeBench 12.6% Live coding evaluation

Benchmark data from Artificial Analysis and Hugging Face

How does Qwen: Qwen2.5 Coder 7B Instruct stack up?

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Model Information

OpenRouter ID qwen/qwen2.5-coder-7b-instruct
Providerqwen
Release Date April 15, 2025
Context Length32,768 tokens
Status Active

Pricing

Token Type Cost per 1M tokens Cost per 1K tokens
Input $0.03 $0.000030
Output $0.09 $0.000090