Grok 3 mini Reasoning (high) vs Qwen3.5 122B A10B (Reasoning)

Comparing 2 AI models · 6 benchmarks · xAI, Alibaba

Most Affordable
xAI logo
Grok 3 mini Reasoning (high)
$0.30/1M
Highest Intelligence
Alibaba logo
Qwen3.5 122B A10B (Reasoning)
85.7% GPQA
Best for Coding
Alibaba logo
Qwen3.5 122B A10B (Reasoning)
34.7 Coding Index
Price Difference
1.3x
input cost range

Composite Indices

Intelligence, Coding, Math

Standard Benchmarks

Academic and industry benchmarks

Benchmark Winners

6 tests
xAI logo

Grok 3 mini Reasoning (high)

4
  • MMLU Pro
  • LiveCodeBench
  • MATH 500
  • AIME 2025
Alibaba logo

Qwen3.5 122B A10B (Reasoning)

2
  • GPQA
  • HLE
Metric
xAI logo Grok 3 mini Reasoning (high)
xAI
Alibaba logo Qwen3.5 122B A10B (Reasoning)
Alibaba
Pricing
Per 1M tokens
Input Cost $0.30/1M $0.40/1M
Output Cost $0.50/1M $3.20/1M
Blended Cost 3:1 input/output ratio
$0.35/1M $1.10/1M
Specifications
Organization Model creator
xAI Alibaba
Release Date Launch date
Feb 19, 2025 Feb 24, 2026
Performance & Speed
Throughput Output speed
184.7 tok/s 106.1 tok/s
Time to First Token (TTFT) Initial response delay
715ms 1347ms
Latency Time to first answer token
11545ms 20198ms
Composite Indices
Intelligence Index Overall reasoning capability
32.0 41.5
Coding Index Programming ability
25.2 34.7
Math Index Mathematical reasoning
84.7
Standard Benchmarks
GPQA Graduate-level reasoning
79.1% 85.7%
MMLU Pro Advanced knowledge
82.8%
HLE Hard language evaluation
11.1% 23.4%
LiveCodeBench Real-world coding tasks
69.6%
MATH 500 Mathematical problems
99.2%
AIME 2025 Advanced math competition
84.7%
AIME (Original) Math olympiad problems
93.3%
SciCode Scientific code generation
40.6% 42.0%
LCR Code review capability
50.3% 66.7%
IFBench Instruction-following
45.9% 75.7%
TAU-bench v2 Tool use & agentic tasks
90.4% 93.6%
TerminalBench Hard CLI command generation
17.4% 31.1%

Key Takeaways

Grok 3 mini Reasoning (high) offers the best value at $0.30/1M, making it ideal for high-volume applications and cost-conscious projects.

Qwen3.5 122B A10B (Reasoning) leads in reasoning capabilities with a 85.7% GPQA score, excelling at complex analytical tasks and problem-solving.

Qwen3.5 122B A10B (Reasoning) achieves a 34.7 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

xAI logo

Grok 3 mini Reasoning (high)

  • Cost-sensitive applications
  • High-volume processing
Alibaba logo

Qwen3.5 122B A10B (Reasoning)

  • Complex reasoning tasks
  • Research & analysis
  • Code generation
  • Software development

Cost Calculator

xAI logo Grok 3 mini Reasoning (high)
$0.00
per month
Alibaba logo Qwen3.5 122B A10B (Reasoning)
$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.