Which is better: Gemini 4 Argon or GPT-5.6 Terra?

Verdict: Gemini 4 Argon ranks higher (#6 vs #16) and wins 6 of 6 shared benchmarks; Gemini 4 Argon costs less ($2.00/$10.0 vs $2.50/$15.0 per 1M tokens). AskClash compares Gemini 4 Argon and GPT-5.6 Terra 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 GPT-5.6 Terra 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 GPT-5.6 Terra when publicly disclosed.

LLM Comparison

Gemini 4 Argon vs GPT-5.6 Terra: benchmark scores, pricing & comparison.

Side-by-side Gemini 4 Argon vs GPT-5.6 Terra 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 #16) and wins 6 of 6 shared benchmarks; Gemini 4 Argon costs less ($2.00/$10.0 vs $2.50/$15.0 per 1M tokens).

Open live leaderboard Gemini 4 Argon model page GPT-5.6 Terra model page

Rank #6 vs #16AskClash overall scores 72.2 vs 60.3.

Pricing $2.00/$10.0 vs $2.50/$15.0Input and output token prices per 1M tokens when published.

Proprietary vs ProprietaryGoogle vs OpenAI.

Gemini 4 Argon vs GPT-5.6 Terra benchmark comparison

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

Metric	Gemini 4 Argon	GPT-5.6 Terra
Overall Score	72.2	60.3
Leaderboard Rank	#6	#16
ACB	74.8	56.4
RWT	—	8.5
Coding Agent Index	—	77.0
HLE	57.1	42.9
GPQA	—	92.9
IFEval	—	71.2
SWE-Pro	—	63.4
SWE-Atlas	—	81.0
Terminal-Bench	57.1	35.4
DeepSWE	77.9	69.6
GDPval-AA	1624.0	1593.0
Finance Agent	65.4	54.4
MMMU-Pro	—	80.7
ARC-AGI 2	—	83.9
Tau2	—	86.3
MRCR	—	89.6
Input Price (per 1M tokens)	$2.00	$2.50
Output Price (per 1M tokens)	$10.0	$15.0
Context Window	1M	1M
Benchmarks Published	9	15

Gemini 4 Argon vs GPT-5.6 Terra head-to-head charts

Gemini 4 Argon leads 7 and GPT-5.6 Terra leads 0 of 7 shared benchmarks. Gemini 4 Argon is cheaper on a defined 1M-input / 200K-output workload. Charts show only benchmarks both models publish.

Gemini 4 ArgonGPT-5.6 Terra

Overall

72.2Gemini 4 Argon

60.3GPT-5.6 Terra

ACB

74.8Gemini 4 Argon

56.4GPT-5.6 Terra

HLE

57.1Gemini 4 Argon

42.9GPT-5.6 Terra

Terminal-Bench

57.1Gemini 4 Argon

35.4GPT-5.6 Terra

DeepSWE

77.9Gemini 4 Argon

69.6GPT-5.6 Terra

GDPval-AA

1624.0Gemini 4 Argon

1593.0GPT-5.6 Terra

Finance Agent

65.4Gemini 4 Argon

54.4GPT-5.6 Terra

Gemini 4 Argon

Input$2.00

Output$10.0

Workload$4.00

Context1M

GPT-5.6 Terra

Input$2.50

Output$15.0

Workload$5.50

Context1M

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

More Gemini 4 Argon and GPT-5.6 Terra comparisons

Explore how Gemini 4 Argon and GPT-5.6 Terra stack up against other top-ranked LLMs.

Claude Opus 5.5 vs Gemini 4 Argon Claude Opus 5.5 vs GPT-5.6 Terra Claude Fable 5.1 vs Gemini 4 Argon Claude Fable 5.1 vs GPT-5.6 Terra Claude Sonnet 5.5 vs Gemini 4 Argon Claude Sonnet 5.5 vs GPT-5.6 Terra Claude Opus 5 vs Gemini 4 Argon Claude Opus 5 vs GPT-5.6 Terra Claude Fable 5 vs Gemini 4 Argon Claude Fable 5 vs GPT-5.6 Terra

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.