LLM Comparison

Gemini 4 Argon vs GPT-6.1 Sol: benchmark scores, pricing & comparison.

Side-by-side Gemini 4 Argon vs GPT-6.1 Sol 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: Gemini 4 Argon ranks higher (#6 vs #9) and wins 6 of 6 shared benchmarks.

Rank #6 vs #9AskClash overall scores 72.2 vs 70.2.
Pricing $2.00/$10.0 vs $2.00/$10.0Input and output token prices per 1M tokens when published.
Proprietary vs ProprietaryGoogle vs OpenAI.

Gemini 4 Argon vs GPT-6.1 Sol benchmark comparison

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

MetricGemini 4 ArgonGPT-6.1 Sol
Overall Score72.270.2
Leaderboard Rank#6#9
ACB74.869.9
Coding Agent Index—62.9
HLE57.152.9
GPQA—95.0
SWE-Atlas—61.0
Terminal-Bench57.156.1
DeepSWE77.975.2
GDPval-AA1623.11575.1
Finance Agent65.452.0
MMMU-Pro—86.0
ARC-AGI 2—94.2
Input Price (per 1M tokens)$2.00$2.00
Output Price (per 1M tokens)$10.0$10.0
Context Window1M1.05M
Benchmarks Published914

Gemini 4 Argon vs GPT-6.1 Sol head-to-head charts

Gemini 4 Argon leads 7 and GPT-6.1 Sol leads 0 of 7 shared benchmarks. Charts show only benchmarks both models publish.

Gemini 4 ArgonGPT-6.1 Sol
Overall
72.2Gemini 4 Argon
70.2GPT-6.1 Sol
ACB
74.8Gemini 4 Argon
69.9GPT-6.1 Sol
HLE
57.1Gemini 4 Argon
52.9GPT-6.1 Sol
Terminal-Bench
57.1Gemini 4 Argon
56.1GPT-6.1 Sol
DeepSWE
77.9Gemini 4 Argon
75.2GPT-6.1 Sol
GDPval-AA
1623.1Gemini 4 Argon
1575.1GPT-6.1 Sol
Finance Agent
65.4Gemini 4 Argon
52.0GPT-6.1 Sol
Gemini 4 Argon
Input$2.00
Output$10.0
Workload$4.00
Context1M
GPT-6.1 Sol
Input$2.00
Output$10.0
Workload$4.00
Context1.05M

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

More Gemini 4 Argon and GPT-6.1 Sol comparisons

Explore how Gemini 4 Argon and GPT-6.1 Sol 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.