LLM Comparison

Claude Opus 4.8 vs Inkling: benchmark scores, pricing & comparison.

Side-by-side Claude Opus 4.8 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 #3 vs #27AskClash overall scores 80.8 vs 50.7.
Pricing $5.00/$25.0 vs $1.87/$4.68Input and output token prices per 1M tokens when published.
Proprietary vs Open WeightAnthropic vs Thinking Machines Lab.

Claude Opus 4.8 vs Inkling benchmark comparison

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

MetricClaude Opus 4.8Inkling
Overall Score80.850.7
Leaderboard Rank#3#27
RWT9.0
Coding Agent Index72.5
HLE57.946.0
GPQA93.687.9
IFEval62.279.8
SWE-bench88.677.6
SWE-Pro69.2
SWE-Atlas82.5
Terminal-Bench74.663.8
DeepSWE59.0
OSWorld83.4
MCP Atlas82.274.1
Finance Agent53.9
CharXiv89.982.0
MMMU-Pro73.5
ARC-AGI 272.1
Tau294.4
Input Price (per 1M tokens)$5.00$1.87
Output Price (per 1M tokens)$25.0$4.68
Context Window1M1M
Benchmarks Published178

Claude Opus 4.8 vs Inkling head-to-head charts

Claude Opus 4.8 leads 7 and Inkling leads 1 of 8 shared benchmarks. Inkling is cheaper on a defined 1M-input / 200K-output workload. Charts show only benchmarks both models publish.

Claude Opus 4.8Inkling
Overall
80.8Claude Opus 4.8
50.7Inkling
HLE
57.9Claude Opus 4.8
46.0Inkling
GPQA
93.6Claude Opus 4.8
87.9Inkling
IFEval
62.2Claude Opus 4.8
79.8Inkling
SWE-bench
88.6Claude Opus 4.8
77.6Inkling
Terminal-Bench
74.6Claude Opus 4.8
63.8Inkling
MCP Atlas
82.2Claude Opus 4.8
74.1Inkling
CharXiv
89.9Claude Opus 4.8
82.0Inkling
Claude Opus 4.8
Input$5.00
Output$25.0
Workload$10
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 Claude Opus 4.8 and Inkling comparisons

Explore how Claude Opus 4.8 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.