Kimi K3 vs o3-pro
Benchmark Performance
Available Benchmarks
Technical Differences
Side-by-Side Facts
| Field | Kimi-K3 | o3-pro |
|---|---|---|
| Developer | Moonshot AI | OpenAI |
| Family | Kimi K3 | O3 |
| Model | Kimi-K3 | o3-pro |
| Version | Kimi-K3 | o3-pro |
| Lifecycle | active | active |
| Released | 2026-07-16 | 2025-06-10 |
| Knowledge cutoff | Unknown | 2024-06-01 |
| Input modalities | Text, Image | Text, Image |
| Output modalities | Text | Text |
| Context window | 1,049K | 200K |
| Total parameters | 2.8T | Unknown |
| Active parameters | 104B | Unknown |
| License | other | Unknown |
| Open weights | Yes | No |
| API available | Yes | Yes |
| Self-hostable | Yes | No |
| Provider access | Deepinfra (Standard), Fireworks Ai (Standard), Hugging Face (Standard), Openrouter (Standard), Together Ai (Standard) | Openai (Standard), Openrouter (Standard) |
| Capabilities | chat, generation, reasoning | chat, generation, reasoning, structured_outputs, tools |
14 comparable fields · 10 material differences · Pair passes the primary-source comparison gate
Kimi K3 Capabilities
o3-pro Capabilities
Internal Comparison Graph
Related Comparisons
| A | Pair | B | Context |
|---|---|---|---|
Kimi-K2.6Moonshot AI | vs | Kimi-K3Moonshot AI | family variantsembedding, image, text |
Kimi-K3Moonshot AI | vs | GPT-6 AstraOpenAI | cross-developer peersimage, text |
Claude Fable 5.1Anthropic | vs | Kimi-K3Moonshot AI | cross-developer peersimage, text |
Gemini 3.1 ProGoogle DeepMind | vs | Kimi-K3Moonshot AI | cross-developer peerstext |
DeepSeek-V4-ProDeepSeek | vs | Kimi-K3Moonshot AI | cross-developer peerstext |
Kimi-K3Moonshot AI | vs | Grok 4.6xAI | cross-developer peersimage, text |
Kimi-K3Moonshot AI | vs | Qwen3.8-MaxQwen | cross-developer peersimage, text |
MiniMax-M3MiniMax | vs | Kimi-K3Moonshot AI | cross-developer peersimage, text |
Kimi-K3Moonshot AI | vs | GLM-5.3Z.ai | cross-developer peerstext |
Kimi-K3Moonshot AI | vs | Hy4 previewTencent | cross-developer peerstext |
Seed 2.1 ProByteDance Seed | vs | Kimi-K3Moonshot AI | cross-developer peersimage, text |
Mistral Large 3Mistral AI | vs | Kimi-K3Moonshot AI | cross-developer peersimage, text |
Primary Evidence
Sources and Freshness
Questions
Kimi K3 vs o3-pro FAQs
Is Kimi K3 or o3-pro better for coding?+
This comparison does not currently contain a protocol-matched coding benchmark for both Kimi K3 and o3-pro, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.
Which is cheaper, Kimi K3 or o3-pro?+
Kimi K3 is $2.85 and o3-pro is $20.00 per million tokens, so Kimi K3 is cheaper on this metric. Kimi K3 is $14.25 and o3-pro is $80.00 per million tokens, so Kimi K3 is cheaper on this metric.
Which has a larger context window, Kimi K3 or o3-pro?+
Kimi K3 has the larger sourced context window. Kimi K3 supports 1,049K and o3-pro supports 200K.
Which performs better in benchmarks, Kimi K3 or o3-pro?+
There is no overall benchmark winner: At least two independently verified, protocol-matched benchmarks are required for an overall winner.
Can Kimi K3 or o3-pro be self-hosted?+
Kimi K3 is the only model in this pair currently marked as self-hostable. Kimi K3 is open weight; o3-pro is not marked open weight.
Can Kimi K3 and o3-pro understand images?+
Kimi K3 is documented with image input; o3-pro is documented with image input. This reflects supported input modalities, not vision quality.
Which can generate longer answers, Kimi K3 or o3-pro?+
Neither has a larger sourced maximum output. Kimi K3 is — and o3-pro is 100K.
Do Kimi K3 and o3-pro support reasoning and tool use?+
Kimi K3: reasoning and image input. o3-pro: reasoning, tool calling, and image input. Feature support does not establish relative quality.
Which is available from more inference providers, Kimi K3 or o3-pro?+
Kimi K3 has 5 sourced provider routes; o3-pro has 2, so Kimi K3 has broader tracked availability.
Which offers better value, Kimi K3 or o3-pro?+
There is no universal value winner. Compare the input and output prices above with the matched benchmark result for your workload: cheaper tokens can be offset by different quality, token usage, latency, or provider availability.