Devstral Small 1.1 vs MiniMax M1 80K
Devstral Small 1.1 and MiniMax M1 80K are closely matched at 9.6 and 21.8 on the LLM Stats Score. Devstral Small 1.1 is 6.4x cheaper per token.
Mistral AI · MiniMax · Updated for 2026
Which is better?
Devstral Small 1.1 and MiniMax M1 80K are closely matched on the overall LLM Stats Score at 9.6 and 21.8.
In the 1 individual benchmarks reported for both models, MiniMax M1 80K wins 1; this is a narrower head-to-head signal than the composite indexes.
On price, Devstral Small 1.1 is roughly 6.4x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
MiniMax M1 80K also accepts a larger context window (1,000,000 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 6.4x cheaper per token
- you want the most recent training data — it shipped Jul 2025
Choose MiniMax M1 80K
- you value its reported benchmark strengths — it wins 1 of 1 exact shared results
- you process long inputs — it offers a 1,000,000 token context window
At a glance
The differences that matter most.
Individual benchmarks
1 reported for Devstral Small 1.1 · 16 for MiniMax M1 80K
Devstral Small 1.1 outperforms in 0 benchmarks, while MiniMax M1 80K is better at 1 benchmark (SWE-Bench Verified).
MiniMax M1 80K 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) is 5.5x cheaper than MiniMax M1 80K ($0.55/1M tokens).
For output processing, Devstral Small 1.1 ($0.30/1M tokens) is 7.3x cheaper than MiniMax M1 80K ($2.20/1M tokens).
In conclusion, MiniMax M1 80K is more expensive than Devstral Small 1.1.*
* Using a 3:1 ratio of input to output tokens
Model Size
Parameter count comparison
MiniMax M1 80K has 432.0B more parameters than Devstral Small 1.1, making it 1800.0% larger.
Context Window
Maximum input and output token capacity
MiniMax M1 80K accepts 1,000,000 input tokens compared to Devstral Small 1.1's 128,000 tokens. Devstral Small 1.1 can generate longer responses up to 128,000 tokens, while MiniMax M1 80K is limited to 40,000 tokens.
License
Usage and distribution terms
Devstral Small 1.1 is licensed under Apache 2.0, while MiniMax M1 80K 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 MiniMax M1 80K was released on 2025-06-16.
Devstral Small 1.1 is 1 month newer than MiniMax M1 80K.
Jul 11, 2025
1.2 years ago
3w newerJun 16, 2025
1.2 years ago
Knowledge 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. MiniMax M1 80K is available from Novita.
Devstral Small 1.1
MiniMax M1 80K
Outputs Comparison
Judge for yourself.
Run your own prompts against Devstral Small 1.1 and MiniMax M1 80K side-by-side, then vote on the output you prefer.
FAQ
Common questions about Devstral Small 1.1 vs MiniMax M1 80K.