Devstral Small 1.1 vs LongCat-Flash-Lite
Devstral Small 1.1 and LongCat-Flash-Lite are closely matched at 9.6 and 18.9 on the LLM Stats Score. Devstral Small 1.1 is 1.2x cheaper per token.
Mistral AI · Meituan · Updated for 2026
Which is better?
Devstral Small 1.1 and LongCat-Flash-Lite are closely matched on the overall LLM Stats Score at 9.6 and 18.9.
In the 1 individual benchmarks reported for both models, LongCat-Flash-Lite wins 1; this is a narrower head-to-head signal than the composite indexes.
On price, Devstral Small 1.1 is roughly 1.2x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
LongCat-Flash-Lite also accepts a larger context window (256,000 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 Devstral Small 1.1
- cost matters — it's about 1.2x cheaper per token
Choose LongCat-Flash-Lite
- you value its reported benchmark strengths — it wins 1 of 1 exact shared results
- you process long inputs — it offers a 256,000 token context window
- you want the most recent training data — it shipped Feb 2026
At a glance
The differences that matter most.
Individual benchmarks
1 reported for Devstral Small 1.1 · 13 for LongCat-Flash-Lite
Devstral Small 1.1 outperforms in 0 benchmarks, while LongCat-Flash-Lite is better at 1 benchmark (SWE-Bench Verified).
LongCat-Flash-Lite 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, Devstral Small 1.1 ($0.10/1M tokens) costs the same as LongCat-Flash-Lite ($0.10/1M tokens).
For output processing, Devstral Small 1.1 ($0.30/1M tokens) is 1.3x cheaper than LongCat-Flash-Lite ($0.40/1M tokens).
In conclusion, LongCat-Flash-Lite is more expensive than Devstral Small 1.1.*
* Using a 3:1 ratio of input to output tokens
Model Size
Parameter count comparison
LongCat-Flash-Lite has 44.5B more parameters than Devstral Small 1.1, making it 185.4% larger.
Context Window
Maximum input and output token capacity
LongCat-Flash-Lite accepts 256,000 input tokens compared to Devstral Small 1.1's 128,000 tokens. Both models can generate responses up to 128,000 tokens.
License
Usage and distribution terms
Devstral Small 1.1 is licensed under Apache 2.0, while LongCat-Flash-Lite uses MIT.
License differences may affect how you can use these models in commercial or open-source projects.
Apache 2.0
Open weights
MIT
Open weights
Release Timeline
When each model was launched
Devstral Small 1.1 was released on 2025-07-11, while LongCat-Flash-Lite was released on 2026-02-05.
LongCat-Flash-Lite is 7 months newer than Devstral Small 1.1.
Jul 11, 2025
1.2 years ago
Feb 5, 2026
7 months ago
6mo newerKnowledge Cutoff
When training data ends
Neither model specifies a knowledge cutoff date.
Unable to compare the recency of their training data.
Provider Availability
Devstral Small 1.1 is available from Mistral AI. LongCat-Flash-Lite is available from Meituan.
Devstral Small 1.1
LongCat-Flash-Lite
Outputs Comparison
Judge for yourself.
Run your own prompts against Devstral Small 1.1 and LongCat-Flash-Lite side-by-side, then vote on the output you prefer.
FAQ
Common questions about Devstral Small 1.1 vs LongCat-Flash-Lite.