Inkling 2 Small vs Mistral Small 3.1 24B Base
Inkling 2 Small leads the LLM Stats Score 47.1 to -0.3. Mistral Small 3.1 24B Base is 3.2x 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 -0.3, ranking #41 overall.
In the 1 individual benchmarks reported for both models, Inkling 2 Small wins 1; this is a narrower head-to-head signal than the composite indexes.
On price, Mistral Small 3.1 24B Base is roughly 3.2x 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 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 Nov 2026
Choose Mistral Small 3.1 24B Base
- cost matters — it's about 3.2x 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 · 5 for Mistral Small 3.1 24B Base
Inkling 2 Small outperforms in 1 benchmarks (GPQA), while Mistral Small 3.1 24B Base is better at 0 benchmarks.
Inkling 2 Small 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, Inkling 2 Small ($0.30/1M tokens) is 3.0x more expensive than Mistral Small 3.1 24B Base ($0.10/1M tokens).
For output processing, Inkling 2 Small ($1.00/1M tokens) is 3.3x more expensive than Mistral Small 3.1 24B Base ($0.30/1M tokens).
In conclusion, Inkling 2 Small is more expensive than Mistral Small 3.1 24B Base.*
* Using a 3:1 ratio of input to output tokens
Model Size
Parameter count comparison
Inkling 2 Small has 570.0B more parameters than Mistral Small 3.1 24B Base, making it 2375.0% larger.
Context Window
Maximum input and output token capacity
Inkling 2 Small accepts 256,000 input tokens compared to Mistral Small 3.1 24B Base's 128,000 tokens. Only Mistral Small 3.1 24B Base specifies output context (128,000 tokens).
Input capabilities
Documented input modalities across available providers
Both Inkling 2 Small and Mistral Small 3.1 24B Base support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
Inkling 2 Small
Mistral Small 3.1 24B Base
License
Usage and distribution terms
Inkling 2 Small is licensed under a proprietary license, while Mistral Small 3.1 24B Base 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 Small 3.1 24B Base was released on 2025-03-17.
Inkling 2 Small is 20 months newer than Mistral Small 3.1 24B Base.
Nov 5, 2026
4 days ago
1.6yr newerMar 17, 2025
1.6 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 Small 3.1 24B Base is available from Mistral AI.
Inkling 2 Small
Mistral Small 3.1 24B Base
Outputs Comparison
Judge for yourself.
Run your own prompts against Inkling 2 Small and Mistral Small 3.1 24B Base side-by-side, then vote on the output you prefer.
FAQ
Common questions about Inkling 2 Small vs Mistral Small 3.1 24B Base.