Kimi K3
Intelligence benchmarks
Artificial Analysis indexes - compared with the best open and proprietary models
Intelligence
57.1
AA Index
Coding
76.2
AA Index
Agentic
50.1
AA Index
Intelligence Index - Kimi K3 vs. the field
Best open-weight models (you can run locally) and leading proprietary models for context.
Coding Index comparison
Agentic Index comparison
Benchmark data from Artificial Analysis · updated 2026-07-30.
Standard benchmarks
Performance across standard evaluations
| Benchmark | Score |
|---|---|
| GPQA | 93.5 |
Will it run on your hardware?
Pick your GPU memory - see which quantizations fit, and the cheapest card for the rest
Need an exact figure for your context length? Use the VRAM calculator.
Run it locally
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Deep dive
Notes, sources, and the full write-up
Kimi K3 is a 2779.9B-parameter other model from Kimi. It scores 57.1 on the Artificial Analysis Intelligence Index (coding 76.2). At Q4_K_M it needs roughly 1612 GB of VRAM, placing it in the 48 GB+ / multi-GPU hardware tier.
Benchmarks
Artificial Analysis Intelligence Index - Kimi K3 vs. leading closed models:
| Model | Intelligence | Coding | GPQA |
|---|---|---|---|
| Kimi K3 | 57.1 | 76.2 | 93.5 |
| Claude Opus 5 (max) | 60.7 | 78 | 93.2 |
| Claude Fable 5 (with fallback) | 59.9 | 76.5 | 92.6 |
| GPT-5.6 Sol (max) | 58.9 | 77.4 | 94.1 |
| GPT-5.6 Terra (max) | 55 | 76.7 | 92.5 |
| Grok 4.5 (high) | 53.8 | 72.4 | 93.1 |
Source: Artificial Analysis (2026-07-30).
Popularity
Kimi K3 has 99,214 downloads in the last month on HuggingFace and 8,653 likes.
Frequently asked
Quick answers to common questions
How much VRAM does Kimi K3 need?
Kimi K3 with 2779.9B parameters needs approximately 1612 GB at Q4_K_M quantization. Use our VRAM calculator for an exact estimate.
Is Kimi K3 better than other moonshotai models?
Kimi K3 has 2779.9B parameters with 1,048,576 context - a strong choice for general use.
What license is Kimi K3 under?
Kimi K3 is released under the other license, making it suitable for most commercial and personal projects.
What hardware runs Kimi K3 well?
With 2779.9B parameters, Kimi K3 requires adequate VRAM. High-end GPUs like the RTX 4090 (24GB), RTX 5090 (32GB), or Mac Studio with unified memory are good options. Check our hardware directory for specific recommendations.
What is the best quantization for Kimi K3?
Q4_K_M is the recommended sweet spot - ~98% of FP16 quality at ~27% of the size. Q5_K_M (~1974 GB) is an option if you have spare VRAM. Use our VRAM calculator to compare.
How long can Kimi K3's context window handle?
Kimi K3 supports a 1,048,576-token context window - enough for very long documents, codebases, or multi-turn conversations. Real-world usable context may vary by implementation.
What models compete with Kimi K3?
Kimi K3 competes with other 1390B–4170B. Browse our model directory for comparisons, benchmarks, and community reviews to find the best fit.
Nearby options
Similar models and compatible hardware by spec
Similar by size
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