Which is better: Gemini 4 Argon or Gemini 3.1 Pro?

Verdict: Gemini 4 Argon ranks higher (#6 vs #47) and wins 4 of 4 shared benchmarks; Gemini 4 Argon costs less ($2.00/$10.0 vs $2.00/$12.0 per 1M tokens). AskClash compares Gemini 4 Argon and Gemini 3.1 Pro 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 Gemini 3.1 Pro 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 Gemini 3.1 Pro when publicly disclosed.

LLM Comparison

Gemini 4 Argon vs Gemini 3.1 Pro: benchmark scores, pricing & comparison.

Side-by-side Gemini 4 Argon 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.

Verdict: Gemini 4 Argon ranks higher (#6 vs #47) and wins 4 of 4 shared benchmarks; Gemini 4 Argon costs less ($2.00/$10.0 vs $2.00/$12.0 per 1M tokens).

Open live leaderboard Gemini 4 Argon model page Gemini 3.1 Pro model page

Rank #6 vs #47AskClash overall scores 72.2 vs 40.9.

Pricing $2.00/$10.0 vs $2.00/$12.0Input and output token prices per 1M tokens when published.

Proprietary vs ProprietaryGoogle vs Google.

Gemini 4 Argon 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.

Metric	Gemini 4 Argon	Gemini 3.1 Pro
Overall Score	72.2	40.9
Leaderboard Rank	#6	#47
ACB	74.8	—
HLE	57.1	51.4
GPQA	—	94.3
SWE-bench	—	80.6
SWE-Pro	—	54.2
Terminal-Bench	57.1	—
DeepSWE	77.9	11.7
GDPval-AA	1624.0	1317.0
MCP Atlas	—	69.2
Finance Agent	65.4	43.0
CharXiv	—	80.2
MMMU-Pro	—	83.9
ARC-AGI 2	—	77.1
Tau2	—	99.3
MRCR	—	84.9
Input Price (per 1M tokens)	$2.00	$2.00
Output Price (per 1M tokens)	$10.0	$12.0
Context Window	1M	1M
Benchmarks Published	9	10

Gemini 4 Argon vs Gemini 3.1 Pro head-to-head charts

Gemini 4 Argon leads 5 and Gemini 3.1 Pro leads 0 of 5 shared benchmarks. Gemini 4 Argon is cheaper on a defined 1M-input / 200K-output workload. Charts show only benchmarks both models publish.

Gemini 4 ArgonGemini 3.1 Pro

Overall

72.2Gemini 4 Argon

40.9Gemini 3.1 Pro

HLE

57.1Gemini 4 Argon

51.4Gemini 3.1 Pro

DeepSWE

77.9Gemini 4 Argon

11.7Gemini 3.1 Pro

GDPval-AA

1624.0Gemini 4 Argon

1317.0Gemini 3.1 Pro

Finance Agent

65.4Gemini 4 Argon

43.0Gemini 3.1 Pro

Gemini 4 Argon

Input$2.00

Output$10.0

Workload$4.00

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 Gemini 4 Argon and Gemini 3.1 Pro comparisons

Explore how Gemini 4 Argon and Gemini 3.1 Pro stack up against other top-ranked LLMs.

Claude Opus 5.5 vs Gemini 4 Argon Claude Opus 5.5 vs Gemini 3.1 Pro Claude Fable 5.1 vs Gemini 4 Argon Claude Fable 5.1 vs Gemini 3.1 Pro Claude Sonnet 5.5 vs Gemini 4 Argon Claude Sonnet 5.5 vs Gemini 3.1 Pro Claude Opus 5 vs Gemini 4 Argon Claude Opus 5 vs Gemini 3.1 Pro Claude Fable 5 vs Gemini 4 Argon Claude Fable 5 vs Gemini 3.1 Pro

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.