LLM Comparison

GPT-6.1 Sol vs Hy4 Preview: benchmark scores, pricing & comparison.

Side-by-side GPT-6.1 Sol vs Hy4 Preview 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.

Verdict: GPT-6.1 Sol ranks higher (#6 vs #21) and wins 3 of 5 shared benchmarks; Hy4 Preview costs less ($0.83/$2.50 vs $2.00/$10.0 per 1M tokens).

Rank #6 vs #21AskClash overall scores 72.5 vs 59.0.
Pricing $2.00/$10.0 vs $0.83/$2.50Input and output token prices per 1M tokens when published.
Proprietary vs Open WeightOpenAI vs Tencent.

GPT-6.1 Sol vs Hy4 Preview benchmark comparison

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

MetricGPT-6.1 SolHy4 Preview
Overall Score72.559.0
Leaderboard Rank#6#21
ACB69.9—
RWT—8.5
Coding Agent Index62.9—
HLE52.943.4
GPQA95.092.3
SWE-Pro—65.7
SWE-Atlas61.0—
Terminal-Bench56.1—
DeepSWE75.264.3
GDPval-AA1575.11678.0
MCP Atlas—83.7
Finance Agent52.055.1
MMMU-Pro86.0—
ARC-AGI 294.2—
Input Price (per 1M tokens)$2.00$0.83
Output Price (per 1M tokens)$10.0$2.50
Context Window1.05M1M
Benchmarks Published147

GPT-6.1 Sol vs Hy4 Preview head-to-head charts

GPT-6.1 Sol leads 4 and Hy4 Preview leads 2 of 6 shared benchmarks. Hy4 Preview is cheaper on a defined 1M-input / 200K-output workload. Charts show only benchmarks both models publish.

GPT-6.1 SolHy4 Preview
Overall
72.5GPT-6.1 Sol
59.0Hy4 Preview
HLE
52.9GPT-6.1 Sol
43.4Hy4 Preview
GPQA
95.0GPT-6.1 Sol
92.3Hy4 Preview
DeepSWE
75.2GPT-6.1 Sol
64.3Hy4 Preview
GDPval-AA
1575.1GPT-6.1 Sol
1678.0Hy4 Preview
Finance Agent
52.0GPT-6.1 Sol
55.1Hy4 Preview
GPT-6.1 Sol
Input$2.00
Output$10.0
Workload$4.00
Context1.05M
Hy4 Preview
Input$0.83
Output$2.50
Workload$1.33
Context1M

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

More GPT-6.1 Sol and Hy4 Preview comparisons

Explore how GPT-6.1 Sol and Hy4 Preview 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.