Inkling 2 Small vs Jamba 1.5 Mini
Inkling 2 Small leads the LLM Stats Score 47.2 to -6.2. Jamba 1.5 Mini is 1.9x cheaper per token.
Thinking Machines Lab · AI21 Labs · Updated for 2026
Which is better?
Inkling 2 Small leads the overall LLM Stats Score 47.2 to -6.2, ranking #39 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, Jamba 1.5 Mini is roughly 1.9x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Jamba 1.5 Mini also accepts a larger context window (256,144 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 Inkling 2 Small
- overall performance matters — it scores 47.2 and ranks #39 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 want the most recent training data — it shipped Nov 2026
Choose Jamba 1.5 Mini
- cost matters — it's about 1.9x cheaper per token
- you process long inputs — it offers a 256,144 token context window
- 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 Jamba 1.5 Mini
Inkling 2 Small outperforms in 1 benchmarks (GPQA), while Jamba 1.5 Mini 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 1.5x more expensive than Jamba 1.5 Mini ($0.20/1M tokens).
For output processing, Inkling 2 Small ($1.00/1M tokens) is 2.5x more expensive than Jamba 1.5 Mini ($0.40/1M tokens).
In conclusion, Inkling 2 Small is more expensive than Jamba 1.5 Mini.*
* Using a 3:1 ratio of input to output tokens
Model Size
Parameter count comparison
Inkling 2 Small has 542.0B more parameters than Jamba 1.5 Mini, making it 1042.3% larger.
Context Window
Maximum input and output token capacity
Jamba 1.5 Mini accepts 256,144 input tokens compared to Inkling 2 Small's 256,000 tokens. Only Jamba 1.5 Mini specifies output context (256,144 tokens).
Input capabilities
Documented input modalities across available providers
Inkling 2 Small supports multimodal inputs, whereas Jamba 1.5 Mini 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
Jamba 1.5 Mini
License
Usage and distribution terms
Inkling 2 Small is licensed under a proprietary license, while Jamba 1.5 Mini uses Jamba Open Model License.
License differences may affect how you can use these models in commercial or open-source projects.
Proprietary
Closed source
Jamba Open Model License
Open weights
Release Timeline
When each model was launched
Inkling 2 Small was released on 2026-11-05, while Jamba 1.5 Mini was released on 2024-08-22.
Inkling 2 Small is 27 months newer than Jamba 1.5 Mini.
Nov 5, 2026
4 days ago
2.2yr newerAug 22, 2024
2.2 years ago
Knowledge Cutoff
When training data ends
Jamba 1.5 Mini has a documented knowledge cutoff of 2024-03-05, while Inkling 2 Small's cutoff date is not specified.
We can confirm Jamba 1.5 Mini's training data extends to 2024-03-05, but cannot make a direct comparison without Inkling 2 Small's cutoff date.
—
Mar 2024
Provider Availability
Inkling 2 Small is available from Thinking Machines Lab. Jamba 1.5 Mini is available from Bedrock, Google.
Inkling 2 Small
Jamba 1.5 Mini
Outputs Comparison
Judge for yourself.
Run your own prompts against Inkling 2 Small and Jamba 1.5 Mini side-by-side, then vote on the output you prefer.
FAQ
Common questions about Inkling 2 Small vs Jamba 1.5 Mini.