Inkling-Small vs LongCat-2.5
LongCat-2.5 leads the LLM Stats Score 49.7 to 37.7. Inkling-Small and LongCat-2.5 cost the same.
Thinking Machines Lab · Meituan · Updated for 2026
Which is better?
LongCat-2.5 leads the overall LLM Stats Score 49.7 to 37.7, ranking #22 overall.
In the 4 individual benchmarks reported for both models, LongCat-2.5 wins 4; this is a narrower head-to-head signal than the composite indexes.
LongCat-2.5 also accepts a larger context window (1,048,576 input tokens), making it the stronger choice for long documents and large codebases.
Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.
Choose Inkling-Small
- you need open weights you can self-host or fine-tune
Choose LongCat-2.5
- overall performance matters — it scores 49.7 and ranks #22 on LLM Stats
- your work emphasizes reasoning and coding — it leads those capability indexes
- you value its reported benchmark strengths — it wins 4 of 4 exact shared results
- you process long inputs — it offers a 1,048,576 token context window
- you want the most recent training data — it shipped Nov 2026
At a glance
The differences that matter most.
Capability indexes
Additional strengths measured across groups of related public benchmarks
Individual benchmarks
24 reported for Inkling-Small · 23 for LongCat-2.5
Inkling-Small outperforms in 0 benchmarks, while LongCat-2.5 is better at 4 benchmarks (BrowseComp, CharXiv-R, MCP Atlas, Terminal-Bench 2.1).
LongCat-2.5 significantly outperforms across most benchmarks.
Human preference
Blind head-to-head votes and playground preference scores
Pricing Analysis
Price comparison per million tokens
For input processing, Inkling-Small ($0.30/1M tokens) costs the same as LongCat-2.5 ($0.30/1M tokens).
For output processing, Inkling-Small ($1.20/1M tokens) costs the same as LongCat-2.5 ($1.20/1M tokens).
In conclusion, Inkling-Small and LongCat-2.5 cost the same.*
* Using a 3:1 ratio of input to output tokens
Model Size
Parameter count comparison
LongCat-2.5 has 1324.0B more parameters than Inkling-Small, making it 479.7% larger.
Context Window
Maximum input and output token capacity
LongCat-2.5 accepts 1,048,576 input tokens compared to Inkling-Small's 256,000 tokens. Inkling-Small can generate longer responses up to 256,000 tokens, while LongCat-2.5 is limited to 131,072 tokens.
Input capabilities
Documented input modalities across available providers
Both Inkling-Small and LongCat-2.5 support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
Inkling-Small
LongCat-2.5
Release Timeline
When each model was launched
Inkling-Small was released on 2026-07-30, while LongCat-2.5 was released on 2026-11-01.
LongCat-2.5 is 3 months newer than Inkling-Small.
Jul 30, 2026
3 months ago
Nov 1, 2026
1 weeks ago
3mo newerKnowledge Cutoff
When training data ends
Neither model specifies a knowledge cutoff date.
Unable to compare the recency of their training data.
Provider Availability
Inkling-Small is available from Thinking Machines Lab, DeepInfra. LongCat-2.5 is available from Meituan.
Inkling-Small
LongCat-2.5
Outputs Comparison
Judge for yourself.
Run your own prompts against Inkling-Small and LongCat-2.5 side-by-side, then vote on the output you prefer.
FAQ
Common questions about Inkling-Small vs LongCat-2.5.