Devstral Small 1.1 vs Nemotron 3.5 Lightning (30B A3B)
Devstral Small 1.1 and Nemotron 3.5 Lightning (30B A3B) are closely matched at 9.6 and 22.3 on the LLM Stats Score. Nemotron 3.5 Lightning (30B A3B) is 1.7x cheaper per token.
Mistral AI · NVIDIA · Updated for 2026
Which is better?
Devstral Small 1.1 and Nemotron 3.5 Lightning (30B A3B) are closely matched on the overall LLM Stats Score at 9.6 and 22.3.
In the 1 individual benchmarks reported for both models, Devstral Small 1.1 wins 1; this is a narrower head-to-head signal than the composite indexes.
On price, Nemotron 3.5 Lightning (30B A3B) is roughly 1.7x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Nemotron 3.5 Lightning (30B A3B) also accepts a larger context window (262,144 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
- you value its reported benchmark strengths — it wins 1 of 1 exact shared results
Choose Nemotron 3.5 Lightning (30B A3B)
- cost matters — it's about 1.7x cheaper per token
- you process long inputs — it offers a 262,144 token context window
- you want the most recent training data — it shipped Aug 2026
At a glance
The differences that matter most.
Individual benchmarks
1 reported for Devstral Small 1.1 · 13 for Nemotron 3.5 Lightning (30B A3B)
Devstral Small 1.1 outperforms in 1 benchmarks (SWE-Bench Verified), while Nemotron 3.5 Lightning (30B A3B) is better at 0 benchmarks.
Devstral Small 1.1 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 2.0x more expensive than Nemotron 3.5 Lightning (30B A3B) ($0.05/1M tokens).
For output processing, Devstral Small 1.1 ($0.30/1M tokens) is 1.5x more expensive than Nemotron 3.5 Lightning (30B A3B) ($0.20/1M tokens).
In conclusion, Devstral Small 1.1 is more expensive than Nemotron 3.5 Lightning (30B A3B).*
* Using a 3:1 ratio of input to output tokens
Model Size
Parameter count comparison
Nemotron 3.5 Lightning (30B A3B) has 6.0B more parameters than Devstral Small 1.1, making it 25.0% larger.
Context Window
Maximum input and output token capacity
Nemotron 3.5 Lightning (30B A3B) accepts 262,144 input tokens compared to Devstral Small 1.1's 128,000 tokens. Nemotron 3.5 Lightning (30B A3B) can generate longer responses up to 262,144 tokens, while Devstral Small 1.1 is limited to 128,000 tokens.
License
Usage and distribution terms
Devstral Small 1.1 is licensed under Apache 2.0, while Nemotron 3.5 Lightning (30B A3B) uses OpenMDW License v1.1.
License differences may affect how you can use these models in commercial or open-source projects.
Apache 2.0
Open weights
OpenMDW License v1.1
Open weights
Release Timeline
When each model was launched
Devstral Small 1.1 was released on 2025-07-11, while Nemotron 3.5 Lightning (30B A3B) was released on 2026-08-11.
Nemotron 3.5 Lightning (30B A3B) is 13 months newer than Devstral Small 1.1.
Jul 11, 2025
1.2 years ago
Aug 11, 2026
3 weeks ago
1.1yr 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. Nemotron 3.5 Lightning (30B A3B) is available from DeepInfra.
Devstral Small 1.1
Nemotron 3.5 Lightning (30B A3B)
Outputs Comparison
Judge for yourself.
Run your own prompts against Devstral Small 1.1 and Nemotron 3.5 Lightning (30B A3B) side-by-side, then vote on the output you prefer.
FAQ
Common questions about Devstral Small 1.1 vs Nemotron 3.5 Lightning (30B A3B).
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