LLM Comparison

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

Side-by-side Claude Opus 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 #1 vs #18AskClash overall scores 95.4 vs 58.2.
Pricing $5.00/$25.0 vs $0.58/$1.44Input and output token prices per 1M tokens when published.
Proprietary vs Open WeightAnthropic vs Thinking Machines Lab.

Claude Opus 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 Opus 5Inkling-Small
Overall Score95.458.2
Leaderboard Rank#1#18
RWT9.0
Coding Agent Index78.0
HLE64.747.8
GPQA93.289.5
IFEval82.2
SWE-bench96.080.2
SWE-Pro79.2
Terminal-Bench89.164.7
DeepSWE73.6
MCP Atlas85.879.6
CharXiv81.3
MMMU-Pro84.774.0
ARC-AGI 290.440.1
Input Price (per 1M tokens)$5.00$0.58
Output Price (per 1M tokens)$25.0$1.44
Context Window1M1M
Benchmarks Published139

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

Claude Opus 5 leads 8 and Inkling-Small leads 0 of 8 shared benchmarks. Inkling-Small is cheaper on a defined 1M-input / 200K-output workload. Charts show only benchmarks both models publish.

Claude Opus 5Inkling-Small
Overall
95.4Claude Opus 5
58.2Inkling-Small
HLE
64.7Claude Opus 5
47.8Inkling-Small
GPQA
93.2Claude Opus 5
89.5Inkling-Small
SWE-bench
96.0Claude Opus 5
80.2Inkling-Small
Terminal-Bench
89.1Claude Opus 5
64.7Inkling-Small
MCP Atlas
85.8Claude Opus 5
79.6Inkling-Small
MMMU-Pro
84.7Claude Opus 5
74.0Inkling-Small
ARC-AGI 2
90.4Claude Opus 5
40.1Inkling-Small
Claude Opus 5
Input$5.00
Output$25.0
Workload$10
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 Opus 5 and Inkling-Small comparisons

Explore how Claude Opus 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.