Jamba 1.5 Mini vs Kimi K3.1 Pro
Kimi K3.1 Pro leads the LLM Stats Score 55.5 to -6.1. Jamba 1.5 Mini is 16.0x cheaper per token.
AI21 Labs · Moonshot AI · Updated for 2026
Which is better?
Kimi K3.1 Pro leads the overall LLM Stats Score 55.5 to -6.1, ranking #5 overall.
In the 1 individual benchmarks reported for both models, Kimi K3.1 Pro wins 1; this is a narrower head-to-head signal than the composite indexes.
On price, Jamba 1.5 Mini is roughly 16.0x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Kimi K3.1 Pro also accepts a larger context window (1,048,576 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 Jamba 1.5 Mini
- cost matters — it's about 16.0x cheaper per token
- you need open weights you can self-host or fine-tune
Choose Kimi K3.1 Pro
- overall performance matters — it scores 55.5 and ranks #5 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 1,048,576 token context window
- you want the most recent training data — it shipped Oct 2026
At a glance
The differences that matter most.
Capability indexes
Additional strengths measured across groups of related public benchmarks
Individual benchmarks
8 reported for Jamba 1.5 Mini · 30 for Kimi K3.1 Pro
Jamba 1.5 Mini outperforms in 0 benchmarks, while Kimi K3.1 Pro is better at 1 benchmark (GPQA).
Kimi K3.1 Pro 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, Jamba 1.5 Mini ($0.20/1M tokens) is 10.0x cheaper than Kimi K3.1 Pro ($2.00/1M tokens).
For output processing, Jamba 1.5 Mini ($0.40/1M tokens) is 25.0x cheaper than Kimi K3.1 Pro ($10.00/1M tokens).
In conclusion, Kimi K3.1 Pro is more expensive than Jamba 1.5 Mini.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
Kimi K3.1 Pro accepts 1,048,576 input tokens compared to Jamba 1.5 Mini's 256,144 tokens. Kimi K3.1 Pro can generate longer responses up to 1,048,576 tokens, while Jamba 1.5 Mini is limited to 256,144 tokens.
Input capabilities
Documented input modalities across available providers
Kimi K3.1 Pro supports multimodal inputs, whereas Jamba 1.5 Mini does not.
Kimi K3.1 Pro can handle both text and other forms of data like images, making it suitable for multimodal applications.
Jamba 1.5 Mini
Kimi K3.1 Pro
Release Timeline
When each model was launched
Jamba 1.5 Mini was released on 2024-08-22, while Kimi K3.1 Pro was released on 2026-10-23.
Kimi K3.1 Pro is 26 months newer than Jamba 1.5 Mini.
Aug 22, 2024
2.2 years ago
Oct 23, 2026
2 days ago
2.2yr newerKnowledge Cutoff
When training data ends
Jamba 1.5 Mini has a documented knowledge cutoff of 2024-03-05, while Kimi K3.1 Pro'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 Kimi K3.1 Pro's cutoff date.
Mar 2024
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Provider Availability
Jamba 1.5 Mini is available from Bedrock, Google. Kimi K3.1 Pro is available from Moonshot AI.
Jamba 1.5 Mini
Kimi K3.1 Pro
Outputs Comparison
Judge for yourself.
Run your own prompts against Jamba 1.5 Mini and Kimi K3.1 Pro side-by-side, then vote on the output you prefer.
FAQ
Common questions about Jamba 1.5 Mini vs Kimi K3.1 Pro.