LLM Comparison

Qwen3.8 Max vs Inkling-Small: benchmark scores, pricing & comparison.

Side-by-side Qwen3.8 Max 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 #7 vs #30AskClash overall scores 71.5 vs 36.6.
Pricing $2.00/$6.00 vs $0.58/$1.44Input and output token prices per 1M tokens when published.
Open Weight vs Open WeightAlibaba vs Thinking Machines Lab.

Qwen3.8 Max vs Inkling-Small benchmark comparison

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

MetricQwen3.8 MaxInkling-Small
Overall Score71.536.6
Leaderboard Rank#7#30
ACB59.0
HLE43.647.8
GPQA92.689.5
IFEval82.882.2
SWE-bench80.2
SWE-Pro67.7
Terminal-Bench86.664.7
DeepSWE56.6
OSWorld86.1
MCP Atlas79.6
Finance Agent50.641.3
CharXiv88.481.3
MMMU-Pro82.374.0
ARC-AGI 240.1
MRCR92.9
Input Price (per 1M tokens)$2.00$0.58
Output Price (per 1M tokens)$6.00$1.44
Context Window1M1M
Benchmarks Published1310

Qwen3.8 Max vs Inkling-Small head-to-head charts

Qwen3.8 Max leads 7 and Inkling-Small leads 1 of 8 shared benchmarks. Inkling-Small is cheaper on a defined 1M-input / 200K-output workload. Charts show only benchmarks both models publish.

Qwen3.8 MaxInkling-Small
Overall
71.5Qwen3.8 Max
36.6Inkling-Small
HLE
43.6Qwen3.8 Max
47.8Inkling-Small
GPQA
92.6Qwen3.8 Max
89.5Inkling-Small
IFEval
82.8Qwen3.8 Max
82.2Inkling-Small
Terminal-Bench
86.6Qwen3.8 Max
64.7Inkling-Small
Finance Agent
50.6Qwen3.8 Max
41.3Inkling-Small
CharXiv
88.4Qwen3.8 Max
81.3Inkling-Small
MMMU-Pro
82.3Qwen3.8 Max
74.0Inkling-Small
Qwen3.8 Max
Input$2.00
Output$6.00
Workload$3.20
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 Qwen3.8 Max and Inkling-Small comparisons

Explore how Qwen3.8 Max 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.