LLM Comparison

Claude Sonnet 5 vs Inkling-Small: benchmark scores, pricing & comparison.

Side-by-side Claude Sonnet 5 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 #8 vs #18AskClash overall scores 75.0 vs 58.2.
Pricing $3.00/$15.0 vs $0.58/$1.44Input and output token prices per 1M tokens when published.
Proprietary vs Open WeightAnthropic vs Thinking Machines Lab.

Claude Sonnet 5 vs Inkling-Small benchmark comparison

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

MetricClaude Sonnet 5Inkling-Small
Overall Score75.058.2
Leaderboard Rank#8#18
RWT8.5
HLE57.447.8
GPQA91.189.5
IFEval82.2
SWE-bench85.280.2
SWE-Pro63.2
Terminal-Bench80.464.7
DeepSWE53.8
OSWorld81.2
MCP Atlas79.6
CharXiv88.381.3
MMMU-Pro77.374.0
ARC-AGI 240.1
Input Price (per 1M tokens)$3.00$0.58
Output Price (per 1M tokens)$15.0$1.44
Context Window1M1M
Benchmarks Published129

Claude Sonnet 5 vs Inkling-Small head-to-head charts

Claude Sonnet 5 leads 7 and Inkling-Small leads 0 of 7 shared benchmarks. Inkling-Small is cheaper on a defined 1M-input / 200K-output workload. Charts show only benchmarks both models publish.

Claude Sonnet 5Inkling-Small
Overall
75.0Claude Sonnet 5
58.2Inkling-Small
HLE
57.4Claude Sonnet 5
47.8Inkling-Small
GPQA
91.1Claude Sonnet 5
89.5Inkling-Small
SWE-bench
85.2Claude Sonnet 5
80.2Inkling-Small
Terminal-Bench
80.4Claude Sonnet 5
64.7Inkling-Small
CharXiv
88.3Claude Sonnet 5
81.3Inkling-Small
MMMU-Pro
77.3Claude Sonnet 5
74.0Inkling-Small
Claude Sonnet 5
Input$3.00
Output$15.0
Workload$6.00
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 Claude Sonnet 5 and Inkling-Small comparisons

Explore how Claude Sonnet 5 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.