Which is better: Gemini 4 Carbon or GPT-6 Luna?

Verdict: Gemini 4 Carbon ranks higher (#5 vs #45) and wins 6 of 6 shared benchmarks; GPT-6 Luna costs less ($0.10/$0.50 vs $4.00/$20.0 per 1M tokens). AskClash compares Gemini 4 Carbon and GPT-6 Luna 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 Carbon and GPT-6 Luna 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 Carbon and GPT-6 Luna when publicly disclosed.

LLM Comparison

Gemini 4 Carbon vs GPT-6 Luna: benchmark scores, pricing & comparison.

Side-by-side Gemini 4 Carbon vs GPT-6 Luna 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 Carbon ranks higher (#5 vs #45) and wins 6 of 6 shared benchmarks; GPT-6 Luna costs less ($0.10/$0.50 vs $4.00/$20.0 per 1M tokens).

Open live leaderboard Gemini 4 Carbon model page GPT-6 Luna model page

Rank #5 vs #45AskClash overall scores 73.8 vs 37.6.

Pricing $4.00/$20.0 vs $0.10/$0.50Input and output token prices per 1M tokens when published.

Proprietary vs ProprietaryGoogle vs OpenAI.

Gemini 4 Carbon vs GPT-6 Luna benchmark comparison

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

Metric	Gemini 4 Carbon	GPT-6 Luna
Overall Score	73.8	37.6
Leaderboard Rank	#5	#45
ACB	80.8	50.2
Coding Agent Index	59.4	31.2
HLE	60.4	38.5
SWE-Atlas	63.7	38.4
Terminal-Bench	65.2	—
DeepSWE	—	66.6
GDPval-AA	1732.7	1443.6
Finance Agent	67.2	56.8
MMMU-Pro	—	79.7
ARC-AGI 2	—	59.3
Input Price (per 1M tokens)	$4.00	$0.10
Output Price (per 1M tokens)	$20.0	$0.50
Context Window	1M	1.05M
Benchmarks Published	10	12

Gemini 4 Carbon vs GPT-6 Luna head-to-head charts

Gemini 4 Carbon leads 7 and GPT-6 Luna leads 0 of 7 shared benchmarks. GPT-6 Luna is cheaper on a defined 1M-input / 200K-output workload. Charts show only benchmarks both models publish.

Gemini 4 CarbonGPT-6 Luna

Overall

73.8Gemini 4 Carbon

37.6GPT-6 Luna

ACB

80.8Gemini 4 Carbon

50.2GPT-6 Luna

Coding Agent Index

59.4Gemini 4 Carbon

31.2GPT-6 Luna

HLE

60.4Gemini 4 Carbon

38.5GPT-6 Luna

SWE-Atlas

63.7Gemini 4 Carbon

38.4GPT-6 Luna

GDPval-AA

1732.7Gemini 4 Carbon

1443.6GPT-6 Luna

Finance Agent

67.2Gemini 4 Carbon

56.8GPT-6 Luna

Gemini 4 Carbon

Input$4.00

Output$20.0

Workload$8.00

Context1M

GPT-6 Luna

Input$0.10

Output$0.50

Workload$0.20

Context1.05M

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

More Gemini 4 Carbon and GPT-6 Luna comparisons

Explore how Gemini 4 Carbon and GPT-6 Luna stack up against other top-ranked LLMs.

Claude Fable 5.2 vs Gemini 4 Carbon Claude Fable 5.2 vs GPT-6 Luna Claude Opus 5.5 vs Gemini 4 Carbon Claude Opus 5.5 vs GPT-6 Luna Claude Sonnet 5.5 vs Gemini 4 Carbon Claude Sonnet 5.5 vs GPT-6 Luna Claude Fable 5.1 vs Gemini 4 Carbon Claude Fable 5.1 vs GPT-6 Luna Gemini 4 Carbon vs Gemini 4 Argon Gemini 4 Argon vs GPT-6 Luna

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.