LLM Comparison

Gemini 4 Argon vs Claude Sonnet 5.5 (High): benchmark scores, pricing & comparison.

Side-by-side Gemini 4 Argon vs Claude Sonnet 5.5 (High) 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 (#7 vs #30) and wins 2 of 3 shared benchmarks.

Rank #7 vs #30AskClash overall scores 71.9 vs 62.9.
Pricing $2.00/$10.0 vs —/—Input and output token prices per 1M tokens when published.
Proprietary vs AI modelGoogle vs Anthropic.

Gemini 4 Argon vs Claude Sonnet 5.5 (High) benchmark comparison

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

MetricGemini 4 ArgonClaude Sonnet 5.5 (High)
Overall Score71.962.9
Leaderboard Rank#7#30
ACB74.876.6
HLE57.145.8
Terminal-Bench57.1—
DeepSWE77.9—
GDPval-AA1624.11547.6
Finance Agent65.4—
ARC-AGI 2—67.4
Input Price (per 1M tokens)$2.00—
Output Price (per 1M tokens)$10.0—
Context Window1M—
Benchmarks Published97

Gemini 4 Argon vs Claude Sonnet 5.5 (High) head-to-head charts

Gemini 4 Argon leads 3 and Claude Sonnet 5.5 (High) leads 1 of 4 shared benchmarks. Charts show only benchmarks both models publish.

Gemini 4 ArgonClaude Sonnet 5.5 (High)
Overall
71.9Gemini 4 Argon
62.9Claude Sonnet 5.5 (High)
ACB
74.8Gemini 4 Argon
76.6Claude Sonnet 5.5 (High)
HLE
57.1Gemini 4 Argon
45.8Claude Sonnet 5.5 (High)
GDPval-AA
1624.1Gemini 4 Argon
1547.6Claude Sonnet 5.5 (High)
Gemini 4 Argon
Input$2.00
Output$10.0
Workload$4.00
Context1M
Claude Sonnet 5.5 (High)
Input—
Output—
Workload—
Context—

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

More Gemini 4 Argon and Claude Sonnet 5.5 (High) comparisons

Explore how Gemini 4 Argon and Claude Sonnet 5.5 (High) 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.