LLM Comparison

GPT-6 Astra vs Gemini 3.1 Pro: benchmark scores, pricing & comparison.

Side-by-side GPT-6 Astra 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 #7 vs #37AskClash overall scores 64.9 vs 42.0.
Pricing $10.0/$50.0 vs $2.00/$12.0Input and output token prices per 1M tokens when published.
Proprietary vs ProprietaryOpenAI vs Google.

GPT-6 Astra 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.

MetricGPT-6 AstraGemini 3.1 Pro
Overall Score64.942.0
Leaderboard Rank#7#37
RWT9.5
Coding Agent Index67.032.9
HLE57.251.4
GPQA96.094.3
SWE-bench80.6
SWE-Pro54.2
Terminal-Bench68.5
DeepSWE74.111.7
GDPval-AA1317.0
MCP Atlas69.2
Finance Agent43.0
CharXiv80.2
MMMU-Pro83.9
ARC-AGI 295.077.1
Tau299.3
MRCR100.084.9
Input Price (per 1M tokens)$10.0$2.00
Output Price (per 1M tokens)$50.0$12.0
Context Window1M1M
Benchmarks Published716

GPT-6 Astra vs Gemini 3.1 Pro head-to-head charts

GPT-6 Astra leads 7 and Gemini 3.1 Pro leads 0 of 7 shared benchmarks. Gemini 3.1 Pro is cheaper on a defined 1M-input / 200K-output workload. Charts show only benchmarks both models publish.

GPT-6 AstraGemini 3.1 Pro
Overall
64.9GPT-6 Astra
42.0Gemini 3.1 Pro
Coding Agent Index
67.0GPT-6 Astra
32.9Gemini 3.1 Pro
HLE
57.2GPT-6 Astra
51.4Gemini 3.1 Pro
GPQA
96.0GPT-6 Astra
94.3Gemini 3.1 Pro
DeepSWE
74.1GPT-6 Astra
11.7Gemini 3.1 Pro
ARC-AGI 2
95.0GPT-6 Astra
77.1Gemini 3.1 Pro
MRCR
100.0GPT-6 Astra
84.9Gemini 3.1 Pro
GPT-6 Astra
Input$10.0
Output$50.0
Workload$20
Context1M
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 GPT-6 Astra and Gemini 3.1 Pro comparisons

Explore how GPT-6 Astra 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.