Kimi K2.7 Code vs Solar Pro 4
Kimi K2.7 Code and Solar Pro 4 are closely matched at 39.6 and 36.0 on the LLM Stats Score. Solar Pro 4 is 2.7x cheaper per token.
Moonshot AI · Upstage · Updated for 2026
Which is better?
Kimi K2.7 Code and Solar Pro 4 are closely matched on the overall LLM Stats Score at 39.6 and 36.0.
On price, Solar Pro 4 is roughly 2.7x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Solar Pro 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 K2.7 Code
- your work emphasizes agents — it leads those capability indexes
- you need open weights you can self-host or fine-tune
Choose Solar Pro 4
- cost matters — it's about 2.7x cheaper per token
- you process long inputs — it offers a 524,288 token context window
- you want the most recent training data — it shipped Aug 2026
At a glance
The differences that matter most.
Capability indexes
Additional strengths measured across groups of related public benchmarks
Individual benchmarks
9 reported for Kimi K2.7 Code · 9 for Solar Pro 4
Kimi K2.7 Code and Solar Pro 4don't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.
Human preference
Blind head-to-head votes and playground preference scores
Pricing Analysis
Price comparison per million tokens
For input processing, Kimi K2.7 Code ($0.74/1M tokens) is 2.5x more expensive than Solar Pro 4 ($0.30/1M tokens).
For output processing, Kimi K2.7 Code ($3.50/1M tokens) is 2.9x more expensive than Solar Pro 4 ($1.20/1M tokens).
In conclusion, Kimi K2.7 Code is more expensive than Solar Pro 4.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
Solar Pro 4 accepts 524,288 input tokens compared to Kimi K2.7 Code's 262,144 tokens. Both models can generate responses up to 131,072 tokens.
Input capabilities
Documented input modalities across available providers
Kimi K2.7 Code supports multimodal inputs, whereas Solar Pro 4 does not.
Kimi K2.7 Code can handle both text and other forms of data like images, making it suitable for multimodal applications.
Kimi K2.7 Code
Solar Pro 4
License
Usage and distribution terms
Kimi K2.7 Code is licensed under Modified MIT License, while Solar Pro 4 uses a proprietary license.
License differences may affect how you can use these models in commercial or open-source projects.
Modified MIT License
Open weights
Proprietary
Closed source
Release Timeline
When each model was launched
Kimi K2.7 Code was released on 2026-06-12, while Solar Pro 4 was released on 2026-08-06.
Solar Pro 4 is 2 months newer than Kimi K2.7 Code.
Jun 12, 2026
2 months ago
Aug 6, 2026
3 weeks ago
1mo newerKnowledge Cutoff
When training data ends
Neither model specifies a knowledge cutoff date.
Unable to compare the recency of their training data.
Provider Availability
Kimi K2.7 Code is available from DeepInfra, Fireworks, Moonshot AI, Novita, Together. Solar Pro 4 is available from Upstage.
Kimi K2.7 Code
Solar Pro 4
Outputs Comparison
Judge for yourself.
Run your own prompts against Kimi K2.7 Code and Solar Pro 4 side-by-side, then vote on the output you prefer.
FAQ
Common questions about Kimi K2.7 Code vs Solar Pro 4.