How do GPT-5.6 Terra and Grok 4.3 compare on coding benchmarks?

The comparison table shows SWE-bench, SWE-Pro, SWE-Atlas, Terminal-Bench, DeepSWE, and coding agent index scores for both GPT-5.6 Terra and Grok 4.3 when publicly disclosed.

LLM Comparison

GPT-5.6 Terra vs Grok 4.3: benchmark scores, pricing & comparison.

Q: Which is better: GPT-5.6 Terra or Grok 4.3?

AskClash compares GPT-5.6 Terra and Grok 4.3 side by side across SWE-bench, GPQA, HLE, Terminal-Bench, coding agent scores, token pricing, and context window so you can see which model wins on each benchmark.

Side-by-side GPT-5.6 Terra vs Grok 4.3 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.

Open live leaderboard GPT-5.6 Terra model page Grok 4.3 model page

Rank #11 vs #33AskClash overall scores 68.9 vs 43.6.

Pricing $2.50/$15.0 vs $1.25/$2.50Input and output token prices per 1M tokens when published.

Proprietary vs ProprietaryOpenAI vs xAI.

GPT-5.6 Terra vs Grok 4.3 benchmark comparison

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

Metric	GPT-5.6 Terra	Grok 4.3
Overall Score	68.9	43.6
Leaderboard Rank	#11	#33
RWT	8.5	6.0
Coding Agent Index	77.0	—
HLE	—	35.0
GPQA	92.9	90.1
IFEval	—	81.3
SWE-Pro	63.4	—
SWE-Atlas	81.0	—
Terminal-Bench	87.4	—
DeepSWE	69.6	—
Finance Agent	52.4	37.7
MMMU-Pro	80.7	78.1
ARC-AGI 2	83.9	—
Tau2	86.3	97.7
MRCR	89.6	—
Input Price (per 1M tokens)	$2.50	$1.25
Output Price (per 1M tokens)	$15.0	$2.50
Context Window	1M	1M
Benchmarks Published	14	6

GPT-5.6 Terra vs Grok 4.3 head-to-head charts

GPT-5.6 Terra leads 5 and Grok 4.3 leads 1 of 6 shared benchmarks. Grok 4.3 is cheaper on a defined 1M-input / 200K-output workload. Charts show only benchmarks both models publish.

GPT-5.6 TerraGrok 4.3

Overall

68.9GPT-5.6 Terra

43.6Grok 4.3

RWT

8.5GPT-5.6 Terra

6.0Grok 4.3

GPQA

92.9GPT-5.6 Terra

90.1Grok 4.3

Finance Agent

52.4GPT-5.6 Terra

37.7Grok 4.3

MMMU-Pro

80.7GPT-5.6 Terra

78.1Grok 4.3

Tau2

86.3GPT-5.6 Terra

97.7Grok 4.3

GPT-5.6 Terra

Input$2.50

Output$15.0

Workload$5.50

Context1M

Grok 4.3

Input$1.25

Output$2.50

Workload$1.75

Context1M

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

More GPT-5.6 Terra and Grok 4.3 comparisons

Explore how GPT-5.6 Terra and Grok 4.3 stack up against other top-ranked LLMs.

Claude Opus 5 vs GPT-5.6 Terra Claude Opus 5 vs Grok 4.3 Claude Fable 5 vs GPT-5.6 Terra Claude Fable 5 vs Grok 4.3 GPT-5.6 Sol vs GPT-5.6 Terra GPT-5.6 Sol vs Grok 4.3 Claude Opus 4.8 vs GPT-5.6 Terra Claude Opus 4.8 vs Grok 4.3 Kimi K3 vs GPT-5.6 Terra Kimi K3 vs Grok 4.3

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.