Qwen3 Coder 480B A35B Instruct vs Qwen2.5 Max

Comparing 2 AI models · 6 benchmarks · Alibaba

Most Affordable
Alibaba logo
Qwen3 Coder 480B A35B Instruct
$1.50/1M
Highest Intelligence
Alibaba logo
Qwen3 Coder 480B A35B Instruct
61.8% GPQA
Best for Coding
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Qwen3 Coder 480B A35B Instruct
37.4 Coding Index
Price Difference
1.1x
input cost range

Composite Indices

Intelligence, Coding, Math

Standard Benchmarks

Academic and industry benchmarks

Benchmark Winners

6 tests
Alibaba logo

Qwen3 Coder 480B A35B Instruct

5
  • GPQA
  • MMLU Pro
  • LiveCodeBench
  • MATH 500
  • AIME 2025
Alibaba logo

Qwen2.5 Max

1
  • HLE
Metric
Alibaba logo Qwen3 Coder 480B A35B Instruct
Alibaba
Alibaba logo Qwen2.5 Max
Alibaba
Pricing
Per 1M tokens
Input Cost $1.50/1M $1.60/1M
Output Cost $7.50/1M $6.40/1M
Blended Cost 3:1 input/output ratio
$3.00/1M $2.80/1M
Specifications
Organization Model creator
Alibaba Alibaba
Release Date Launch date
Jul 22, 2025 Jan 28, 2025
Performance & Speed
Throughput Output speed
34.7 tok/s 30.9 tok/s
Time to First Token (TTFT) Initial response delay
1847ms 1289ms
Latency Time to first answer token
1847ms 1289ms
Composite Indices
Intelligence Index Overall reasoning capability
42.3 30.7
Coding Index Programming ability
37.4
Math Index Mathematical reasoning
39.3
Standard Benchmarks
GPQA Graduate-level reasoning
61.8% 58.7%
MMLU Pro Advanced knowledge
78.8% 76.2%
HLE Hard language evaluation
4.4% 4.5%
LiveCodeBench Real-world coding tasks
58.5% 35.9%
MATH 500 Mathematical problems
94.2% 83.5%
AIME 2025 Advanced math competition
39.3%
AIME (Original) Math olympiad problems
47.7% 23.3%
SciCode Scientific code generation
35.9% 33.7%
LCR Code review capability
42.3%
IFBench Instruction-following
40.5%
TAU-bench v2 Tool use & agentic tasks
43.6%
TerminalBench Hard CLI command generation
17.7%

Key Takeaways

Qwen3 Coder 480B A35B Instruct offers the best value at $1.50/1M, making it ideal for high-volume applications and cost-conscious projects.

Qwen3 Coder 480B A35B Instruct leads in reasoning capabilities with a 61.8% GPQA score, excelling at complex analytical tasks and problem-solving.

Qwen3 Coder 480B A35B Instruct achieves a 37.4 coding index, making it the top choice for software development and code generation tasks.

All models support context windows of ∞+ tokens, suitable for processing lengthy documents and maintaining extended conversations.

When to Choose Each Model

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Qwen3 Coder 480B A35B Instruct

  • Cost-sensitive applications
  • High-volume processing
  • Complex reasoning tasks
  • Research & analysis
  • Code generation
  • Software development
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Qwen2.5 Max

  • General-purpose AI
  • Versatile applications

Cost Calculator

Alibaba logo Qwen3 Coder 480B A35B Instruct
$0.00
per month
Alibaba logo Qwen2.5 Max
$0.00
per month

Costs are estimates based on API pricing. Actual costs may vary based on caching, batch processing, and volume discounts.

AI Model Comparison Guide

Compare large language models (LLMs) side-by-side with detailed benchmark scores, pricing, and performance metrics. Our interactive comparison tool helps you evaluate AI models from OpenAI, Anthropic, Google, Meta, DeepSeek, and other leading providers. Use our AI model leaderboard to discover more models to compare.

Understanding Composite Indices

  • Intelligence Index: Aggregated score combining MMLU-Pro, GPQA, and HLE benchmarks - measures overall reasoning and knowledge capabilities
  • Coding Index: Composite metric from LiveCodeBench, SciCode, and LiveCodeBench Review - evaluates programming proficiency across multiple languages
  • Math Index: Combined score from AIME, AIME 2025, and MATH-500 benchmarks - assesses mathematical reasoning from high school to competition level

Key Comparison Metrics

  • Benchmark Scores: Standardized tests measuring intelligence, coding, math, and specialized capabilities - higher percentages indicate better performance
  • Pricing Analysis: Compare input and output token costs across models - critical for budgeting API usage and scaling applications
  • Performance Metrics: Throughput (tokens/second) and latency measurements for real-time application planning
  • Context Windows: Maximum token capacity for processing documents and maintaining conversation history

How to Compare AI Models Effectively

Performance vs Cost

Balance benchmark scores against token pricing - flagship models offer 10-15% better performance but cost 5-10x more than smaller alternatives

Task-Specific Selection

Prioritize relevant indices: coding index for development tasks, math index for STEM applications, intelligence index for general reasoning

Real-World Testing

Use our free AI chat interface to test models with your specific prompts before committing to API integration

All benchmark scores, pricing data, and performance metrics are sourced from Artificial Analysis and updated daily. Compare models by intelligence, coding ability, math performance, speed, cost, or release date using our comprehensive AI model leaderboard.