Reka Core vs Qwen3 14B (Reasoning)

Comparing 2 AI models · 6 benchmarks · Reka AI, Alibaba

Most Affordable
Alibaba logo
Qwen3 14B (Reasoning)
$0.35/1M
Highest Intelligence
Alibaba logo
Qwen3 14B (Reasoning)
60.4% GPQA
Best for Coding
Alibaba logo
Qwen3 14B (Reasoning)
29.1 Coding Index
Price Difference
5.7x
input cost range

Composite Indices

Intelligence, Coding, Math

Standard Benchmarks

Academic and industry benchmarks

Benchmark Winners

6 tests
Reka AI logo

Reka Core

0

No clear wins

Alibaba logo

Qwen3 14B (Reasoning)

6
  • GPQA
  • MMLU Pro
  • HLE
  • LiveCodeBench
  • MATH 500
  • AIME 2025
Metric
Reka AI logo Reka Core
Reka AI
Alibaba logo Qwen3 14B (Reasoning)
Alibaba
Pricing
Per 1M tokens
Input Cost $2.00/1M $0.35/1M
Output Cost $2.00/1M $4.20/1M
Blended Cost 3:1 input/output ratio
$2.00/1M $1.31/1M
Specifications
Organization Model creator
Reka AI Alibaba
Release Date Launch date
Apr 15, 2024 Apr 28, 2025
Performance & Speed
Throughput Output speed
40.4 tok/s 57.9 tok/s
Time to First Token (TTFT) Initial response delay
1440ms 1034ms
Latency Time to first answer token
1440ms 35605ms
Composite Indices
Intelligence Index Overall reasoning capability
19.4 36.0
Coding Index Programming ability
29.1
Math Index Mathematical reasoning
55.7
Standard Benchmarks
GPQA Graduate-level reasoning
60.4%
MMLU Pro Advanced knowledge
77.4%
HLE Hard language evaluation
4.3%
LiveCodeBench Real-world coding tasks
52.3%
MATH 500 Mathematical problems
55.8% 96.1%
AIME 2025 Advanced math competition
55.7%
AIME (Original) Math olympiad problems
76.3%
SciCode Scientific code generation
31.6%
LCR Code review capability
0.0%
IFBench Instruction-following
40.5%
TAU-bench v2 Tool use & agentic tasks
34.5%
TerminalBench Hard CLI command generation
3.5%

Key Takeaways

Qwen3 14B (Reasoning) offers the best value at $0.35/1M, making it ideal for high-volume applications and cost-conscious projects.

Qwen3 14B (Reasoning) leads in reasoning capabilities with a 60.4% GPQA score, excelling at complex analytical tasks and problem-solving.

Qwen3 14B (Reasoning) achieves a 29.1 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

Reka AI logo

Reka Core

  • General-purpose AI
  • Versatile applications
Alibaba logo

Qwen3 14B (Reasoning)

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

Cost Calculator

Reka AI logo Reka Core
$0.00
per month
Alibaba logo Qwen3 14B (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.