LLM Comparison

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

Side-by-side GPT-5.6 Terra vs Inkling 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.

Rank #8 vs #27AskClash overall scores 77.0 vs 50.7.
Pricing $2.50/$15.0 vs $1.87/$4.68Input and output token prices per 1M tokens when published.
Proprietary vs Open WeightOpenAI vs Thinking Machines Lab.

GPT-5.6 Terra vs Inkling benchmark comparison

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

MetricGPT-5.6 TerraInkling
Overall Score77.050.7
Leaderboard Rank#8#27
RWT8.5
Coding Agent Index77.0
HLE46.0
GPQA92.987.9
IFEval79.8
SWE-bench77.6
SWE-Pro63.4
SWE-Atlas81.0
Terminal-Bench87.463.8
DeepSWE69.6
MCP Atlas74.1
Finance Agent52.4
CharXiv82.0
MMMU-Pro80.773.5
ARC-AGI 283.9
Tau286.3
MRCR89.6
Input Price (per 1M tokens)$2.50$1.87
Output Price (per 1M tokens)$15.0$4.68
Context Window1M1M
Benchmarks Published138

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

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

GPT-5.6 TerraInkling
Overall
77.0GPT-5.6 Terra
50.7Inkling
GPQA
92.9GPT-5.6 Terra
87.9Inkling
Terminal-Bench
87.4GPT-5.6 Terra
63.8Inkling
MMMU-Pro
80.7GPT-5.6 Terra
73.5Inkling
GPT-5.6 Terra
Input$2.50
Output$15.0
Workload$5.50
Context1M
Inkling
Input$1.87
Output$4.68
Workload$2.81
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 comparisons

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

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.