Kimi K2-Thinking-0905 vs Solar Mini 4
Kimi K2-Thinking-0905 and Solar Mini 4 are closely matched at 35.7 and 31.9 on the LLM Stats Score. Solar Mini 4 is 4.9x cheaper per token.
Moonshot AI · Upstage · Updated for 2026
Which is better?
Kimi K2-Thinking-0905 and Solar Mini 4 are closely matched on the overall LLM Stats Score at 35.7 and 31.9.
In the 1 individual benchmarks reported for both models, Solar Mini 4 wins 1; this is a narrower head-to-head signal than the composite indexes.
On price, Solar Mini 4 is roughly 4.9x 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-Thinking-0905
- you need open weights you can self-host or fine-tune
Choose Solar Mini 4
- you value its reported benchmark strengths — it wins 1 of 1 exact shared results
- cost matters — it's about 4.9x 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
21 reported for Kimi K2-Thinking-0905 · 6 for Solar Mini 4
Kimi K2-Thinking-0905 outperforms in 0 benchmarks, while Solar Mini 4 is better at 1 benchmark (SciCode).
Solar Mini 4 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, Kimi K2-Thinking-0905 ($0.47/1M tokens) is 4.7x more expensive than Solar Mini 4 ($0.10/1M tokens).
For output processing, Kimi K2-Thinking-0905 ($2.00/1M tokens) is 5.0x more expensive than Solar Mini 4 ($0.40/1M tokens).
In conclusion, Kimi K2-Thinking-0905 is more expensive than Solar Mini 4.*
* Using a 3:1 ratio of input to output tokens
Model Size
Parameter count comparison
Kimi K2-Thinking-0905 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-Thinking-0905's 262,144 tokens. Kimi K2-Thinking-0905 can generate longer responses up to 262,144 tokens, while Solar Mini 4 is limited to 131,072 tokens.
License
Usage and distribution terms
Kimi K2-Thinking-0905 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-Thinking-0905 was released on 2025-09-05, while Solar Mini 4 was released on 2026-09-22.
Solar Mini 4 is 13 months newer than Kimi K2-Thinking-0905.
Sep 5, 2025
1.1 years ago
Sep 22, 2026
2 weeks ago
1.0yr newerKnowledge Cutoff
When training data ends
Solar Mini 4 has a documented knowledge cutoff of 2026-02-01, while Kimi K2-Thinking-0905'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-Thinking-0905's cutoff date.
—
Feb 2026
Provider Availability
Kimi K2-Thinking-0905 is available from DeepInfra, Novita, Fireworks. Solar Mini 4 is available from Upstage.
Kimi K2-Thinking-0905
Solar Mini 4
Outputs Comparison
Judge for yourself.
Run your own prompts against Kimi K2-Thinking-0905 and Solar Mini 4 side-by-side, then vote on the output you prefer.
FAQ
Common questions about Kimi K2-Thinking-0905 vs Solar Mini 4.