Inkling 2 Small vs Mistral NeMo Instruct
Inkling 2 Small leads the LLM Stats Score 47.1 to -5.3. Mistral NeMo Instruct is 21.8x cheaper per token.
Thinking Machines Lab · Mistral AI · Updated for 2026
Which is better?
Inkling 2 Small leads the overall LLM Stats Score 47.1 to -5.3, ranking #41 overall.
On price, Mistral NeMo Instruct is roughly 21.8x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Inkling 2 Small 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 Inkling 2 Small
- overall performance matters — it scores 47.1 and ranks #41 on LLM Stats
- your work emphasizes reasoning — it leads those capability indexes
- you process long inputs — it offers a 256,000 token context window
- you want the most recent training data — it shipped Nov 2026
Choose Mistral NeMo Instruct
- cost matters — it's about 21.8x cheaper per token
- you need open weights you can self-host or fine-tune
At a glance
The differences that matter most.
Individual benchmarks
11 reported for Inkling 2 Small · 8 for Mistral NeMo Instruct
Inkling 2 Small and Mistral NeMo Instructdon't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.
Human preference
Blind head-to-head votes and playground preference scores
Pricing Analysis
Price comparison per million tokens
For input processing, Inkling 2 Small ($0.30/1M tokens) is 15.8x more expensive than Mistral NeMo Instruct ($0.02/1M tokens).
For output processing, Inkling 2 Small ($1.00/1M tokens) is 33.3x more expensive than Mistral NeMo Instruct ($0.03/1M tokens).
In conclusion, Inkling 2 Small is more expensive than Mistral NeMo Instruct.*
* Using a 3:1 ratio of input to output tokens
Model Size
Parameter count comparison
Inkling 2 Small has 582.0B more parameters than Mistral NeMo Instruct, making it 4850.0% larger.
Context Window
Maximum input and output token capacity
Inkling 2 Small accepts 256,000 input tokens compared to Mistral NeMo Instruct's 131,072 tokens. Only Mistral NeMo Instruct specifies output context (131,072 tokens).
Input capabilities
Documented input modalities across available providers
Inkling 2 Small supports multimodal inputs, whereas Mistral NeMo Instruct does not.
Inkling 2 Small can handle both text and other forms of data like images, making it suitable for multimodal applications.
Inkling 2 Small
Mistral NeMo Instruct
License
Usage and distribution terms
Inkling 2 Small is licensed under a proprietary license, while Mistral NeMo Instruct uses Apache 2.0.
License differences may affect how you can use these models in commercial or open-source projects.
Proprietary
Closed source
Apache 2.0
Open weights
Release Timeline
When each model was launched
Inkling 2 Small was released on 2026-11-05, while Mistral NeMo Instruct was released on 2024-07-18.
Inkling 2 Small is 28 months newer than Mistral NeMo Instruct.
Nov 5, 2026
5 days ago
2.3yr newerJul 18, 2024
2.3 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
Inkling 2 Small is available from Thinking Machines Lab. Mistral NeMo Instruct is available from DeepInfra, Google, Mistral AI.
Inkling 2 Small
Mistral NeMo Instruct
Outputs Comparison
Judge for yourself.
Run your own prompts against Inkling 2 Small and Mistral NeMo Instruct side-by-side, then vote on the output you prefer.
FAQ
Common questions about Inkling 2 Small vs Mistral NeMo Instruct.