Claude Opus 4.6 vs K-EXAONE
Side-by-side benchmark comparison across coding, math, reasoning, speed, and pricing.
K-EXAONE by LG AI Research wins on 2 of 3 benchmarks against Claude Opus 4.6 by Anthropic, which leads on 1. This head-to-head comparison covers coding, math, reasoning, speed, and pricing metrics from the AI Value Index.
Category-by-Category Breakdown
Context: In context, K-EXAONE scores 256K on Context Length compared to Claude Opus 4.6's 200K.
Speed Comparison
Claude Opus 4.6 generates output at 68 tok/s compared to K-EXAONE's 62 tok/s, and the time to first token is 1680 ms for Claude Opus 4.6 versus 320 ms for K-EXAONE. Claude Opus 4.6 delivers faster throughput.
Verdict
Claude Opus 4.6 leads across the board in speed, making it the stronger overall choice in this comparison.
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Claude Opus 4.6 vs K-EXAONE — FAQ
Which is better, Claude Opus 4.6 or K-EXAONE?
K-EXAONE wins on more benchmarks overall (2 vs 1). However, the best choice depends on your specific needs — each model excels in different areas.
How does Claude Opus 4.6 compare to K-EXAONE for coding?
SWE-bench Verified data is not available for both models. Check the detailed comparison charts above for other coding-related metrics.
Is Claude Opus 4.6 cheaper than K-EXAONE?
Complete pricing data is not available for both models. Check the pricing section of the comparison above for available cost information.
Which is faster, Claude Opus 4.6 or K-EXAONE?
Claude Opus 4.6 is faster, generating output at 68 tok/s compared to 62 tok/s. Faster output speed means shorter wait times for API responses.
What benchmarks does the Claude Opus 4.6 vs K-EXAONE comparison cover?
This comparison covers 3 benchmarks including Output Speed, Time to First Token, Context Length. Metrics span general intelligence, coding, math, reasoning, speed, and cost categories.