LLM Comparison

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

Side-by-side GPT-5.6 Sol 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.

Rank #3 vs #18AskClash overall scores 83.7 vs 58.2.
Pricing $5.00/$30.0 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 Sol vs Inkling-Small benchmark comparison

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

MetricGPT-5.6 SolInkling-Small
Overall Score83.758.2
Leaderboard Rank#3#18
RWT9.5
Coding Agent Index80.0
HLE47.247.8
GPQA94.189.5
IFEval82.2
SWE-bench80.2
SWE-Pro64.6
SWE-Atlas84.0
Terminal-Bench88.864.7
DeepSWE72.7
MCP Atlas79.6
Finance Agent53.8
CharXiv81.3
MMMU-Pro83.074.0
ARC-AGI 292.540.1
Tau285.1
MRCR91.5
Input Price (per 1M tokens)$5.00$0.58
Output Price (per 1M tokens)$30.0$1.44
Context Window1M1M
Benchmarks Published159

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

GPT-5.6 Sol leads 5 and Inkling-Small leads 1 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 SolInkling-Small
Overall
83.7GPT-5.6 Sol
58.2Inkling-Small
HLE
47.2GPT-5.6 Sol
47.8Inkling-Small
GPQA
94.1GPT-5.6 Sol
89.5Inkling-Small
Terminal-Bench
88.8GPT-5.6 Sol
64.7Inkling-Small
MMMU-Pro
83.0GPT-5.6 Sol
74.0Inkling-Small
ARC-AGI 2
92.5GPT-5.6 Sol
40.1Inkling-Small
GPT-5.6 Sol
Input$5.00
Output$30.0
Workload$11
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 Sol and Inkling-Small comparisons

Explore how GPT-5.6 Sol and Inkling-Small 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.