EXAONE 4.0 32B (Reasoning) vs Apriel-v1.5-15B-Thinker

Comparing 2 AI models · 6 benchmarks · LG AI Research, ServiceNow

Most Affordable
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Apriel-v1.5-15B-Thinker
$0.00/1M
Highest Intelligence
LG AI Research logo
EXAONE 4.0 32B (Reasoning)
73.9% GPQA
Best for Coding
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Apriel-v1.5-15B-Thinker
39.2 Coding Index
Price Difference
Infinityx
input cost range

Composite Indices

Intelligence, Coding, Math

Standard Benchmarks

Academic and industry benchmarks

Benchmark Winners

6 tests
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EXAONE 4.0 32B (Reasoning)

4
  • GPQA
  • MMLU Pro
  • LiveCodeBench
  • MATH 500
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Apriel-v1.5-15B-Thinker

2
  • HLE
  • AIME 2025
Metric
LG AI Research logo EXAONE 4.0 32B (Reasoning)
LG AI Research
ServiceNow logo Apriel-v1.5-15B-Thinker
ServiceNow
Pricing
Per 1M tokens
Input Cost $0.60/1M $0.00/1M
Output Cost $1.00/1M $0.00/1M
Blended Cost 3:1 input/output ratio
$0.70/1M
Specifications
Organization Model creator
LG AI Research ServiceNow
Release Date Launch date
Jul 15, 2025 Sep 30, 2025
Performance & Speed
Throughput Output speed
93.6 tok/s 146.0 tok/s
Time to First Token (TTFT) Initial response delay
391ms 164ms
Latency Time to first answer token
21765ms 13867ms
Composite Indices
Intelligence Index Overall reasoning capability
42.6 51.6
Coding Index Programming ability
37.5 39.2
Math Index Mathematical reasoning
80.0 87.5
Standard Benchmarks
GPQA Graduate-level reasoning
73.9% 71.3%
MMLU Pro Advanced knowledge
81.8% 77.3%
HLE Hard language evaluation
10.5% 12.0%
LiveCodeBench Real-world coding tasks
74.7% 72.8%
MATH 500 Mathematical problems
97.7%
AIME 2025 Advanced math competition
80.0% 87.5%
AIME (Original) Math olympiad problems
84.3%
SciCode Scientific code generation
34.4% 34.8%
LCR Code review capability
14.0% 20.0%
IFBench Instruction-following
36.3% 61.7%
TAU-bench v2 Tool use & agentic tasks
17.3% 68.4%
TerminalBench Hard CLI command generation
3.5% 9.9%

Key Takeaways

Apriel-v1.5-15B-Thinker offers the best value at $0.00/1M, making it ideal for high-volume applications and cost-conscious projects.

EXAONE 4.0 32B (Reasoning) leads in reasoning capabilities with a 73.9% GPQA score, excelling at complex analytical tasks and problem-solving.

Apriel-v1.5-15B-Thinker achieves a 39.2 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