Inkling 2 Small vs Mistral Large 4
Inkling 2 Small and Mistral Large 4 are closely matched at 47.2 and 46.0 on the LLM Stats Score. Inkling 2 Small is 2.2x cheaper per token.
Thinking Machines Lab · Mistral AI · Updated for 2026
Which is better?
Inkling 2 Small and Mistral Large 4 are closely matched on the overall LLM Stats Score at 47.2 and 46.0.
In the 2 individual benchmarks reported for both models, Inkling 2 Small wins 2; this is a narrower head-to-head signal than the composite indexes.
On price, Inkling 2 Small is roughly 2.2x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Mistral Large 4 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 Inkling 2 Small
- you value its reported benchmark strengths — it wins 2 of 2 exact shared results
- cost matters — it's about 2.2x cheaper per token
- you want the most recent training data — it shipped Nov 2026
Choose Mistral Large 4
- you process long inputs — it offers a 1,000,000 token context window
- you need open weights you can self-host or fine-tune
At a glance
The differences that matter most.
Capability indexes
Additional strengths measured across groups of related public benchmarks
Individual benchmarks
11 reported for Inkling 2 Small · 20 for Mistral Large 4
Inkling 2 Small outperforms in 2 benchmarks (AA-Briefcase, BrowseComp), while Mistral Large 4 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 2.3x cheaper than Mistral Large 4 ($0.70/1M tokens).
For output processing, Inkling 2 Small ($1.00/1M tokens) is 2.1x cheaper than Mistral Large 4 ($2.10/1M tokens).
In conclusion, Mistral Large 4 is more expensive than Inkling 2 Small.*
* Using a 3:1 ratio of input to output tokens
Model Size
Parameter count comparison
Mistral Large 4 has 456.0B more parameters than Inkling 2 Small, making it 76.8% larger.
Context Window
Maximum input and output token capacity
Mistral Large 4 accepts 1,000,000 input tokens compared to Inkling 2 Small's 256,000 tokens.
Input capabilities
Documented input modalities across available providers
Both Inkling 2 Small and Mistral Large 4 support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
Inkling 2 Small
Mistral Large 4
License
Usage and distribution terms
Inkling 2 Small is licensed under a proprietary license, while Mistral Large 4 uses Modified MIT License.
License differences may affect how you can use these models in commercial or open-source projects.
Proprietary
Closed source
Modified MIT License
Open weights
Release Timeline
When each model was launched
Inkling 2 Small was released on 2026-11-05, while Mistral Large 4 was released on 2026-10-06.
Inkling 2 Small is 1 month newer than Mistral Large 4.
Nov 5, 2026
1 weeks ago
1mo newerOct 6, 2026
1 months 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 Large 4 is available from Mistral AI.
Inkling 2 Small
Mistral Large 4
Outputs Comparison
Judge for yourself.
Run your own prompts against Inkling 2 Small and Mistral Large 4 side-by-side, then vote on the output you prefer.
FAQ
Common questions about Inkling 2 Small vs Mistral Large 4.