Which is better: Gemini 4 Argon or SWE-2?

Verdict: Gemini 4 Argon ranks higher (#6 vs #50) and wins 5 of 6 shared benchmarks; SWE-2 costs less ($0/$0 vs $2.00/$10.0 per 1M tokens). AskClash compares Gemini 4 Argon and SWE-2 side by side across SWE-bench, GPQA, HLE, Terminal-Bench, coding agent scores, token pricing, AskClash ACB, and context window so you can see which model wins on each benchmark.

How do Gemini 4 Argon and SWE-2 compare on coding benchmarks?

The comparison table shows SWE-bench, SWE-Pro, SWE-Atlas, Terminal-Bench, DeepSWE, and coding agent index scores for both Gemini 4 Argon and SWE-2 when publicly disclosed.

LLM Comparison

Gemini 4 Argon vs SWE-2: benchmark scores, pricing & comparison.

Side-by-side Gemini 4 Argon vs SWE-2 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 #50) and wins 5 of 6 shared benchmarks; SWE-2 costs less ($0/$0 vs $2.00/$10.0 per 1M tokens).

Open live leaderboard Gemini 4 Argon model page SWE-2 model page

Rank #6 vs #50AskClash overall scores 72.2 vs 58.4.

Pricing $2.00/$10.0 vs $0/$0Input and output token prices per 1M tokens when published.

Proprietary vs ProprietaryGoogle vs Cognition.

Gemini 4 Argon vs SWE-2 benchmark comparison

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

Metric	Gemini 4 Argon	SWE-2
Overall Score	72.2	58.4
Leaderboard Rank	#6	#50
ACB	74.8	60.0
RWT	—	8.5
Coding Agent Index	—	51.9
HLE	57.1	43.5
GPQA	—	93.5
SWE-Atlas	—	66.1
Terminal-Bench	57.1	27.3
DeepSWE	77.9	73.0
GDPval-AA	1623.1	1668.0
MCP Atlas	—	84.2
Finance Agent	65.4	54.4
CharXiv	—	84.8
MMMU-Pro	—	81.6
Input Price (per 1M tokens)	$2.00	$0
Output Price (per 1M tokens)	$10.0	$0
Context Window	1M	256K
Benchmarks Published	9	13

Gemini 4 Argon vs SWE-2 head-to-head charts

Gemini 4 Argon leads 6 and SWE-2 leads 1 of 7 shared benchmarks. SWE-2 is cheaper on a defined 1M-input / 200K-output workload. Charts show only benchmarks both models publish.

Gemini 4 ArgonSWE-2

Overall

72.2Gemini 4 Argon

58.4SWE-2

ACB

74.8Gemini 4 Argon

60.0SWE-2

HLE

57.1Gemini 4 Argon

43.5SWE-2

Terminal-Bench

57.1Gemini 4 Argon

27.3SWE-2

DeepSWE

77.9Gemini 4 Argon

73.0SWE-2

GDPval-AA

1623.1Gemini 4 Argon

1668.0SWE-2

Finance Agent

65.4Gemini 4 Argon

54.4SWE-2

Gemini 4 Argon

Input$2.00

Output$10.0

Workload$4.00

Context1M

SWE-2

Input$0

Output$0

Workload$0.00

Context256K

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

More Gemini 4 Argon and SWE-2 comparisons

Explore how Gemini 4 Argon and SWE-2 stack up against other top-ranked LLMs.

Claude Opus 5.5 vs Gemini 4 Argon Claude Opus 5.5 vs SWE-2 Claude Fable 5.1 vs Gemini 4 Argon Claude Fable 5.1 vs SWE-2 Claude Sonnet 5.5 vs Gemini 4 Argon Claude Sonnet 5.5 vs SWE-2 Claude Opus 5 vs Gemini 4 Argon Claude Opus 5 vs SWE-2 Claude Fable 5 vs Gemini 4 Argon Claude Fable 5 vs SWE-2

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.