How do GPT-5.6 Terra and Inkling-Small 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 Inkling-Small when publicly disclosed.

LLM Comparison

GPT-5.6 Terra vs Inkling-Small: benchmark scores, pricing & comparison.

Q: Which is better: GPT-5.6 Terra or Inkling-Small?

AskClash compares GPT-5.6 Terra and Inkling-Small 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.

Side-by-side GPT-5.6 Terra vs Inkling-Small 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 Inkling-Small model page

Rank #12 vs #30AskClash overall scores 67.3 vs 36.6.

Pricing $2.50/$15.0 vs $0.58/$1.44Input and output token prices per 1M tokens when published.

Proprietary vs Open WeightOpenAI vs Thinking Machines Lab.

GPT-5.6 Terra vs Inkling-Small 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	Inkling-Small
Overall Score	67.3	36.6
Leaderboard Rank	#12	#30
ACB	56.4	—
RWT	8.5	—
Coding Agent Index	77.0	—
HLE	—	47.8
GPQA	92.9	89.5
IFEval	—	82.2
SWE-bench	—	80.2
SWE-Pro	63.4	—
SWE-Atlas	81.0	—
Terminal-Bench	87.4	64.7
DeepSWE	69.6	—
GDPval-AA	1593.0	—
MCP Atlas	—	79.6
Finance Agent	54.4	41.3
CharXiv	—	81.3
MMMU-Pro	80.7	74.0
ARC-AGI 2	83.9	40.1
Tau2	86.3	—
MRCR	89.6	—
Input Price (per 1M tokens)	$2.50	$0.58
Output Price (per 1M tokens)	$15.0	$1.44
Context Window	1M	1M
Benchmarks Published	14	10

GPT-5.6 Terra vs Inkling-Small head-to-head charts

GPT-5.6 Terra leads 6 and Inkling-Small leads 0 of 6 shared benchmarks. Inkling-Small is cheaper on a defined 1M-input / 200K-output workload. Charts show only benchmarks both models publish.

GPT-5.6 TerraInkling-Small

Overall

67.3GPT-5.6 Terra

36.6Inkling-Small

GPQA

92.9GPT-5.6 Terra

89.5Inkling-Small

Terminal-Bench

87.4GPT-5.6 Terra

64.7Inkling-Small

Finance Agent

54.4GPT-5.6 Terra

41.3Inkling-Small

MMMU-Pro

80.7GPT-5.6 Terra

74.0Inkling-Small

ARC-AGI 2

83.9GPT-5.6 Terra

40.1Inkling-Small

GPT-5.6 Terra

Input$2.50

Output$15.0

Workload$5.50

Context1M

Inkling-Small

Input$0.58

Output$1.44

Workload$0.87

Context1M

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

More GPT-5.6 Terra and Inkling-Small comparisons

Explore how GPT-5.6 Terra and Inkling-Small stack up against other top-ranked LLMs.

Claude Opus 5 vs GPT-5.6 Terra Claude Opus 5 vs Inkling-Small Claude Fable 5 vs GPT-5.6 Terra Claude Fable 5 vs Inkling-Small GLM-5.3 vs GPT-5.6 Terra GLM-5.3 vs Inkling-Small Grok 4.6 vs GPT-5.6 Terra Grok 4.6 vs Inkling-Small GPT-5.6 Sol vs GPT-5.6 Terra GPT-5.6 Sol vs Inkling-Small

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.