LLM Comparison

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

Side-by-side Hy3 vs Gemini 3.1 Pro 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 #18 vs #24AskClash overall scores 58.7 vs 51.9.
Pricing $0.12/$0.43 vs $2.00/$12.0Input and output token prices per 1M tokens when published.
Open Weight vs ProprietaryTencent vs Google.

Hy3 vs Gemini 3.1 Pro benchmark comparison

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

MetricHy3Gemini 3.1 Pro
Overall Score58.751.9
Leaderboard Rank#18#24
RWT8.0
Coding Agent Index29.2
HLE53.251.4
GPQA90.494.3
SWE-bench78.080.6
SWE-Pro57.954.2
Terminal-Bench71.768.5
DeepSWE11.8
MCP Atlas79.169.2
Finance Agent43.0
CharXiv80.2
MMMU-Pro83.9
ARC-AGI 277.1
Tau292.799.3
MRCR75.184.9
Input Price (per 1M tokens)$0.12$2.00
Output Price (per 1M tokens)$0.43$12.0
Context Window256K1M
Benchmarks Published916

Hy3 vs Gemini 3.1 Pro head-to-head charts

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

Hy3Gemini 3.1 Pro
Overall
58.7Hy3
51.9Gemini 3.1 Pro
HLE
53.2Hy3
51.4Gemini 3.1 Pro
GPQA
90.4Hy3
94.3Gemini 3.1 Pro
SWE-bench
78.0Hy3
80.6Gemini 3.1 Pro
SWE-Pro
57.9Hy3
54.2Gemini 3.1 Pro
Terminal-Bench
71.7Hy3
68.5Gemini 3.1 Pro
MCP Atlas
79.1Hy3
69.2Gemini 3.1 Pro
Tau2
92.7Hy3
99.3Gemini 3.1 Pro
MRCR
75.1Hy3
84.9Gemini 3.1 Pro
Hy3
Input$0.12
Output$0.43
Workload$0.21
Context256K
Gemini 3.1 Pro
Input$2.00
Output$12.0
Workload$4.40
Context1M

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

More Hy3 and Gemini 3.1 Pro comparisons

Explore how Hy3 and Gemini 3.1 Pro 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.