Kimi K2.5 vs Solar Mini 4
Kimi K2.5 and Solar Mini 4 are closely matched at 38.6 and 31.9 on the LLM Stats Score. Solar Mini 4 is 6.9x cheaper per token.
Moonshot AI · Upstage · Updated for 2026
Which is better?
Kimi K2.5 and Solar Mini 4 are closely matched on the overall LLM Stats Score at 38.6 and 31.9.
The models split the 2 individual benchmarks reported for both models evenly.
On price, Solar Mini 4 is roughly 6.9x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Solar Mini 4 also accepts a larger context window (524,288 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 Kimi K2.5
- you need open weights you can self-host or fine-tune
Choose Solar Mini 4
- cost matters — it's about 6.9x cheaper per token
- you process long inputs — it offers a 524,288 token context window
- you want the most recent training data — it shipped Sep 2026
At a glance
The differences that matter most.
Capability indexes
Additional strengths measured across groups of related public benchmarks
Individual benchmarks
40 reported for Kimi K2.5 · 6 for Solar Mini 4
Kimi K2.5 outperforms in 1 benchmarks (SciCode), while Solar Mini 4 is better at 1 benchmark (AA-LCR).
Both models are evenly matched across the benchmarks.
Human preference
Blind head-to-head votes and playground preference scores
Pricing Analysis
Price comparison per million tokens
For input processing, Kimi K2.5 ($0.60/1M tokens) is 6.0x more expensive than Solar Mini 4 ($0.10/1M tokens).
For output processing, Kimi K2.5 ($3.00/1M tokens) is 7.5x more expensive than Solar Mini 4 ($0.40/1M tokens).
In conclusion, Kimi K2.5 is more expensive than Solar Mini 4.*
* Using a 3:1 ratio of input to output tokens
Model Size
Parameter count comparison
Kimi K2.5 has 965.0B more parameters than Solar Mini 4, making it 2757.1% larger.
Context Window
Maximum input and output token capacity
Solar Mini 4 accepts 524,288 input tokens compared to Kimi K2.5's 262,100 tokens. Kimi K2.5 can generate longer responses up to 262,100 tokens, while Solar Mini 4 is limited to 131,072 tokens.
Input capabilities
Documented input modalities across available providers
Kimi K2.5 supports multimodal inputs, whereas Solar Mini 4 does not.
Kimi K2.5 can handle both text and other forms of data like images, making it suitable for multimodal applications.
Kimi K2.5
Solar Mini 4
License
Usage and distribution terms
Kimi K2.5 is licensed under MIT, while Solar Mini 4 uses a proprietary license.
License differences may affect how you can use these models in commercial or open-source projects.
MIT
Open weights
Proprietary
Closed source
Release Timeline
When each model was launched
Kimi K2.5 was released on 2026-01-27, while Solar Mini 4 was released on 2026-09-22.
Solar Mini 4 is 8 months newer than Kimi K2.5.
Jan 27, 2026
8 months ago
Sep 22, 2026
2 weeks ago
7mo newerKnowledge Cutoff
When training data ends
Solar Mini 4 has a documented knowledge cutoff of 2026-02-01, while Kimi K2.5's cutoff date is not specified.
We can confirm Solar Mini 4's training data extends to 2026-02-01, but cannot make a direct comparison without Kimi K2.5's cutoff date.
—
Feb 2026
Provider Availability
Kimi K2.5 is available from Fireworks, Moonshot AI. Solar Mini 4 is available from Upstage.
Kimi K2.5
Solar Mini 4
Outputs Comparison
Judge for yourself.
Run your own prompts against Kimi K2.5 and Solar Mini 4 side-by-side, then vote on the output you prefer.
FAQ
Common questions about Kimi K2.5 vs Solar Mini 4.