LLM Comparison

Claude Opus 4.7 vs Hy3: benchmark scores, pricing & comparison.

Side-by-side Claude Opus 4.7 vs Hy3 comparison across SWE-bench, GPQA, HLE, Terminal-Bench, coding agent scores, token pricing, context window, and AskClash RWT. Green marks the winner on each benchmark.

Rank #5 vs #18AskClash overall scores 77.1 vs 59.1.
Pricing $5.00/$25.0 vs $0.12/$0.43Input and output token prices per 1M tokens when published.
Proprietary vs Open WeightAnthropic vs Tencent.

Claude Opus 4.7 vs Hy3 benchmark comparison

Green cells highlight the winning model for each metric. Scores are cached from the AskClash LLM leaderboard snapshot.

MetricClaude Opus 4.7Hy3
Overall Score77.159.1
Leaderboard Rank#5#18
RWT8.58.0
Coding Agent Index50.3
HLE54.753.2
GPQA94.290.4
SWE-bench87.678.0
SWE-Pro64.357.9
Terminal-Bench69.471.7
OSWorld78.0
MCP Atlas77.379.1
Finance Agent64.4
CharXiv91.0
MMMU-Pro75.2
ARC-AGI 275.8
Tau288.692.7
MRCR75.1
Input Price (per 1M tokens)$5.00$0.12
Output Price (per 1M tokens)$25.0$0.43
Context Window1M256K
Benchmarks Published149

Claude Opus 4.7 vs Hy3 head-to-head charts

Claude Opus 4.7 leads 6 and Hy3 leads 3 of 9 shared benchmarks. Hy3 is cheaper on a defined 1M-input / 200K-output workload. Charts show only benchmarks both models publish.

Claude Opus 4.7Hy3
Overall
77.1Claude Opus 4.7
59.1Hy3
RWT
8.5Claude Opus 4.7
8.0Hy3
HLE
54.7Claude Opus 4.7
53.2Hy3
GPQA
94.2Claude Opus 4.7
90.4Hy3
SWE-bench
87.6Claude Opus 4.7
78.0Hy3
SWE-Pro
64.3Claude Opus 4.7
57.9Hy3
Terminal-Bench
69.4Claude Opus 4.7
71.7Hy3
MCP Atlas
77.3Claude Opus 4.7
79.1Hy3
Tau2
88.6Claude Opus 4.7
92.7Hy3
Claude Opus 4.7
Input$5.00
Output$25.0
Workload$10
Context1M
Hy3
Input$0.12
Output$0.43
Workload$0.21
Context256K

Workload = published cost of 1M input + 200K output tokens. Open the live leaderboard for interactive compare charts.

More Claude Opus 4.7 and Hy3 comparisons

Explore how Claude Opus 4.7 and Hy3 stack up against other top-ranked LLMs.

How to read this comparison

Benchmark scores

Higher is better for all benchmark scores (SWE-bench, GPQA, HLE, Terminal-Bench, etc.). Green marks the model with the higher score.

Token pricing

Lower is better for input and output prices. Green marks the cheaper model per 1M tokens.

Coverage matters

Models with fewer disclosed benchmark cells may have inflated percentile scores. Check the benchmark cell count for context.

This comparison page is generated from the AskClash LLM leaderboard cache. Open the live leaderboard for real-time scores and interactive filtering.