Kimi K3 vs GPT-6.1 Sol
GPT-6.1 Sol scores higher on 2 of the 2 benchmarks both models publish. The widest gap is on Humanity's Last Exam, where GPT-6.1 Sol leads by 9.4 points. Kimi K3 has open weights, so unlike GPT-6.1 Sol you can run it on your own GPU or deploy it on OpenLLM Buddy with no per-token fees.
Shared benchmarks
Raw published scores; the higher score on each row is highlighted. LMArena Elo is a human-preference vote and is not counted as a win.
- Humanity's Last Exam43.552.9
HLE-Full, no tools, max effortHumanity's Last Exam, no tools; AA independent run (Max)
- MMMU-Pro81.686.0
MMMU-Pro, no toolsMMMU-Pro (not original MMMU); AA independent run (Max)
- LMArena Text Elo · not counted14881481
LMArena text overall, 'Kimi K3 (Max)', ±4, as of 2026-10-27LMArena Text, Overall; snapshot Oct 27, 2026; GPT-6.1 Sol (Max); +/-7
Should you pick Kimi K3 or GPT-6.1 Sol?
Pick Kimi K3 if…
- You need to self-host: keep prompts and data on your own GPU, avoid per-token fees, or fine-tune the weights.
- You want it running in minutes on a dedicated GPU through OpenLLM Buddy, in an uncensored build.
Pick GPT-6.1 Sol if…
- You care most about Humanity's Last Exam, MMMU-Pro, where it scores at least 2 points higher.
- You want a managed API and would rather not run or pay for GPUs yourself.
- You need fast responses: about 91 tokens per second through APIs, against 66.
- Cost matters: $10.00 per million output tokens against $15.00.
Hardware and cost to run
Kimi K3
Even at 4-bit it needs about 1.9 TB (Multiple nodes (over 1.1 TB)), well beyond a home workstation, so most people run it on rented multi-GPU servers. Full BF16 precision needs about 6.4 TB (Multiple nodes (over 1.1 TB)).
On OpenLLM Buddy: Kimi-K3-Uncensored-GGUF runs on 8× H100 80GB as a GGUF quantized build, with an OpenAI-compatible API and no per-token fees. Prices start at $422 USD for 11 hours.
Deploy Kimi K3GPT-6.1 Sol
GPT-6.1 Sol is only available through OpenAI's API, so it cannot be self-hosted; it costs $2 per million input tokens and $10 per million output tokens.
Category profile
Category index uses every test each model reports, not only the shared ones.
Specs side by side
| Kimi K3 | GPT-6.1 Sol | |
|---|---|---|
| Lab | Moonshot AI | OpenAI |
| Weights | Open | API only |
| Released | 2026-07-27 | 2026-09-29 |
| Parameters | 2.8T total, 104B active (MoE) | — |
| Context | 1M | 1.05M |
| License | Kimi K3 License (custom) | — |
| 4-bit memory | 1.9 TB · Multiple nodes (over 1.1 TB) | — |
| API price | $3.00 in / $15.00 out per 1M tokens | $2.00 in / $10.00 out per 1M tokens |
| API speed | 66 tok/s | 91 tok/s |
Related comparisons
Sources
| Model | Test | Score | Setting | Source |
|---|---|---|---|---|
| Kimi K3 | Humanity's Last Exam | 43.5 | HLE-Full, no tools, max effort | Kimi K3 model card (Hugging Face) |
| GPT-6.1 Sol | Humanity's Last Exam | 52.9 | Humanity's Last Exam, no tools; AA independent run (Max) | Artificial Analysis |
| Kimi K3 | MMMU-Pro | 81.6 | MMMU-Pro, no tools | Kimi K3 model card (Hugging Face) |
| GPT-6.1 Sol | MMMU-Pro | 86.0 | MMMU-Pro (not original MMMU); AA independent run (Max) | Artificial Analysis |
| Kimi K3 | LMArena Text Elo | 1488 | LMArena text overall, 'Kimi K3 (Max)', ±4, as of 2026-10-27 | Arena (LMArena) text leaderboard |
| GPT-6.1 Sol | LMArena Text Elo | 1481 | LMArena Text, Overall; snapshot Oct 27, 2026; GPT-6.1 Sol (Max); +/-7 | LMArena (arena.ai) Text leaderboard |
Scores are published results from model cards, lab reports, and public leaderboards, each linked to its source. Settings such as thinking mode or test version differ between sources and are shown next to each score. OpenLLM Buddy catalog models are uncensored fine-tunes; their scores are those of the official base model. Data collected 2026-10-30. How the index works