Model Comparison
Devstral Small 1.1 vs LongCat-Flash-LiteWhich is better in 2026?
LongCat-Flash-Lite significantly outperforms across most benchmarks. Devstral Small 1.1 is 1.2x cheaper per token.
Verdict: Devstral Small 1.1 vs LongCat-Flash-Lite — which is better?
Devstral Small 1.1 (by Mistral AI) and LongCat-Flash-Lite (by Meituan) are two of the AI models people compare most. Here is how they stack up on benchmarks, price and capabilities, and which one to pick in 2026.
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.
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.
Choose Devstral Small 1.1 if…
- cost matters — it's about 1.2x cheaper per token
Choose LongCat-Flash-Lite if…
- you want the strongest raw capability — it leads on 1 of 1 shared benchmarks
- you process long inputs — it offers a 256,000 token context window
- you want the most recent training data — it shipped Feb 2026
Performance Benchmarks
Comparative analysis across standard metrics
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.
Arena Performance
Human preference votes
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
1.0 years ago
Feb 5, 2026
5 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
Key Takeaways
Devstral Small 1.1
View detailsMistral AI
Detailed Comparison
Interactive Arena
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.
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FAQ
Common questions about Devstral Small 1.1 vs LongCat-Flash-Lite.