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

Verdict: Gemini 4 Carbon ranks higher (#5 vs #24) and wins 4 of 4 shared benchmarks; GPT-5.6 Terra costs less ($2.50/$15.0 vs $4.00/$20.0 per 1M tokens). AskClash compares Gemini 4 Carbon 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 Carbon 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 Carbon and GPT-5.6 Terra when publicly disclosed.

LLM Comparison

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

Side-by-side Gemini 4 Carbon 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 Carbon ranks higher (#5 vs #24) and wins 4 of 4 shared benchmarks; GPT-5.6 Terra costs less ($2.50/$15.0 vs $4.00/$20.0 per 1M tokens).

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

Rank #5 vs #24AskClash overall scores 73.8 vs 54.2.

Pricing $4.00/$20.0 vs $2.50/$15.0Input and output token prices per 1M tokens when published.

Proprietary vs ProprietaryGoogle vs OpenAI.

Gemini 4 Carbon 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 Carbon	GPT-5.6 Terra
Overall Score	73.8	54.2
Leaderboard Rank	#5	#24
ACB	80.8	56.4
RWT	—	8.5
Coding Agent Index	59.4	—
HLE	60.4	42.9
GPQA	—	92.9
IFEval	—	71.2
SWE-Pro	—	63.4
SWE-Atlas	63.7	—
Terminal-Bench	65.2	35.4
DeepSWE	—	69.6
GDPval-AA	1732.7	1593.0
Finance Agent	67.2	—
MMMU-Pro	—	80.7
ARC-AGI 2	—	83.9
Tau2	—	86.3
MRCR	—	89.6
Input Price (per 1M tokens)	$4.00	$2.50
Output Price (per 1M tokens)	$20.0	$15.0
Context Window	1M	1M
Benchmarks Published	10	12

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

Gemini 4 Carbon leads 5 and GPT-5.6 Terra leads 0 of 5 shared benchmarks. GPT-5.6 Terra is cheaper on a defined 1M-input / 200K-output workload. Charts show only benchmarks both models publish.

Gemini 4 CarbonGPT-5.6 Terra

Overall

73.8Gemini 4 Carbon

54.2GPT-5.6 Terra

ACB

80.8Gemini 4 Carbon

56.4GPT-5.6 Terra

HLE

60.4Gemini 4 Carbon

42.9GPT-5.6 Terra

Terminal-Bench

65.2Gemini 4 Carbon

35.4GPT-5.6 Terra

GDPval-AA

1732.7Gemini 4 Carbon

1593.0GPT-5.6 Terra

Gemini 4 Carbon

Input$4.00

Output$20.0

Workload$8.00

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 Carbon and GPT-5.6 Terra comparisons

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

Claude Fable 5.2 vs Gemini 4 Carbon Claude Fable 5.2 vs GPT-5.6 Terra Claude Opus 5.5 vs Gemini 4 Carbon Claude Opus 5.5 vs GPT-5.6 Terra Claude Sonnet 5.5 vs Gemini 4 Carbon Claude Sonnet 5.5 vs GPT-5.6 Terra Claude Fable 5.1 vs Gemini 4 Carbon Claude Fable 5.1 vs GPT-5.6 Terra Gemini 4 Carbon vs Gemini 4 Argon Gemini 4 Argon 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.