LLM Comparison

Gemini 3.1 Pro vs Hy3: benchmark scores, pricing & comparison.

Side-by-side Gemini 3.1 Pro 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 #29 vs #31AskClash overall scores 37.5 vs 35.6.
Pricing $2.00/$12.0 vs $0.12/$0.43Input and output token prices per 1M tokens when published.
Proprietary vs Open WeightGoogle vs Tencent.

Gemini 3.1 Pro vs Hy3 benchmark comparison

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

MetricGemini 3.1 ProHy3
Overall Score37.535.6
Leaderboard Rank#29#31
RWT8.0
Coding Agent Index32.9
HLE51.453.2
GPQA94.390.4
SWE-bench80.678.0
SWE-Pro54.257.9
Terminal-Bench68.571.7
DeepSWE11.7
GDPval-AA1317.0
MCP Atlas69.279.1
Finance Agent43.0
CharXiv80.2
MMMU-Pro83.9
ARC-AGI 277.1
Tau299.392.7
MRCR84.975.1
Input Price (per 1M tokens)$2.00$0.12
Output Price (per 1M tokens)$12.0$0.43
Context Window1M256K
Benchmarks Published169

Gemini 3.1 Pro vs Hy3 head-to-head charts

Gemini 3.1 Pro leads 5 and Hy3 leads 4 of 9 shared benchmarks. Hy3 is cheaper on a defined 1M-input / 200K-output workload. Charts show only benchmarks both models publish.

Gemini 3.1 ProHy3
Overall
37.5Gemini 3.1 Pro
35.6Hy3
HLE
51.4Gemini 3.1 Pro
53.2Hy3
GPQA
94.3Gemini 3.1 Pro
90.4Hy3
SWE-bench
80.6Gemini 3.1 Pro
78.0Hy3
SWE-Pro
54.2Gemini 3.1 Pro
57.9Hy3
Terminal-Bench
68.5Gemini 3.1 Pro
71.7Hy3
MCP Atlas
69.2Gemini 3.1 Pro
79.1Hy3
Tau2
99.3Gemini 3.1 Pro
92.7Hy3
MRCR
84.9Gemini 3.1 Pro
75.1Hy3
Gemini 3.1 Pro
Input$2.00
Output$12.0
Workload$4.40
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 Gemini 3.1 Pro and Hy3 comparisons

Explore how Gemini 3.1 Pro 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.