How do GPT-5.6 Sol and Hy3 compare on coding benchmarks?

The comparison table shows SWE-bench, SWE-Pro, SWE-Atlas, Terminal-Bench, DeepSWE, and coding agent index scores for both GPT-5.6 Sol and Hy3 when publicly disclosed.

LLM Comparison

GPT-5.6 Sol vs Hy3: benchmark scores, pricing & comparison.

Q: Which is better: GPT-5.6 Sol or Hy3?

AskClash compares GPT-5.6 Sol and Hy3 side by side across SWE-bench, GPQA, HLE, Terminal-Bench, coding agent scores, token pricing, and context window so you can see which model wins on each benchmark.

Side-by-side GPT-5.6 Sol 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.

Open live leaderboard GPT-5.6 Sol model page Hy3 model page

Rank #2 vs #18AskClash overall scores 85.6 vs 58.7.

Pricing $5.00/$30.0 vs $0.12/$0.43Input and output token prices per 1M tokens when published.

Proprietary vs Open WeightOpenAI vs Tencent.

GPT-5.6 Sol vs Hy3 benchmark comparison

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

Metric	GPT-5.6 Sol	Hy3
Overall Score	85.6	58.7
Leaderboard Rank	#2	#18
RWT	9.5	8.0
Coding Agent Index	80.0	—
HLE	47.2	53.2
GPQA	94.1	90.4
SWE-bench	—	78.0
SWE-Pro	64.6	57.9
SWE-Atlas	84.0	—
Terminal-Bench	88.8	71.7
DeepSWE	72.7	—
MCP Atlas	—	79.1
Finance Agent	53.8	—
MMMU-Pro	83.0	—
ARC-AGI 2	92.5	—
Tau2	85.1	92.7
MRCR	91.5	75.1
Input Price (per 1M tokens)	$5.00	$0.12
Output Price (per 1M tokens)	$30.0	$0.43
Context Window	1M	256K
Benchmarks Published	14	9

GPT-5.6 Sol vs Hy3 head-to-head charts

GPT-5.6 Sol leads 6 and Hy3 leads 2 of 8 shared benchmarks. Hy3 is cheaper on a defined 1M-input / 200K-output workload. Charts show only benchmarks both models publish.

GPT-5.6 SolHy3

Overall

85.6GPT-5.6 Sol

58.7Hy3

RWT

9.5GPT-5.6 Sol

8.0Hy3

HLE

47.2GPT-5.6 Sol

53.2Hy3

GPQA

94.1GPT-5.6 Sol

90.4Hy3

SWE-Pro

64.6GPT-5.6 Sol

57.9Hy3

Terminal-Bench

88.8GPT-5.6 Sol

71.7Hy3

Tau2

85.1GPT-5.6 Sol

92.7Hy3

MRCR

91.5GPT-5.6 Sol

75.1Hy3

GPT-5.6 Sol

Input$5.00

Output$30.0

Workload$11

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 GPT-5.6 Sol and Hy3 comparisons

Explore how GPT-5.6 Sol and Hy3 stack up against other top-ranked LLMs.

Claude Fable 5 vs GPT-5.6 Sol Claude Fable 5 vs Hy3 GPT-5.6 Sol vs Kimi K3 Kimi K3 vs Hy3 GPT-5.6 Sol vs Claude Opus 4.8 Claude Opus 4.8 vs Hy3 GPT-5.6 Sol vs Grok 4.5 Grok 4.5 vs Hy3 GPT-5.6 Sol vs Muse Spark 1.1 Muse Spark 1.1 vs Hy3

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.