Kimi K3 vs GPT-5 Nano
Model Markets Rankings
Intelligence, Cost, and Efficiency
| Ranking | Kimi-K3 | GPT-5 Nano |
|---|---|---|
| IntelligenceHigher is better · MM Intelligence v1.2 | #11 of 2271.3 score | UnrankedNot in the 22-model eligible cohort |
| CostLower is better · Published-token output estimate | #24 of 36$0.194 per LiveBench case | UnrankedNot in the 36-model eligible cohort |
| EfficiencyHigher is better · MM Efficiency v1.0 | #13 of 2251.7 score | UnrankedNot in the 22-model eligible cohort |
Ranks come from the current complete eligible cohorts. Green highlights appear only when both models are ranked in the same metric. Missing required inputs remain unranked, and the three dimensions are not collapsed into an overall winner.
Benchmark Performance
Available Benchmarks
| Benchmark | Kimi-K3 | GPT-5 Nano |
|---|---|---|
| ARC-AGI-1verified-v1-2aa739d957fc · verified_score · leader | 94.50100% of row best · percent · Kimi K3 (Max) | 20.7122% of row best · percent · GPT-5 Nano (Medium) |
| ARC-AGI-2verified-v2-b5cb5ec6e8c7 · verified_score · leader | 60.42100% of row best · percent · Kimi K3 (Max) | 2.614% of row best · percent · GPT-5 Nano (High) |
| LMArena Text Arenatext-2026-09-01-011508720696 · arena_rating · leader | 1,476.31100% of row best · rating · kimi-k3-max; 95% CI [1470.86166728, 1481.76254962]; votes 17895; rank 16 | 1,319.8489% of row best · rating · gpt-5-nano-high; 95% CI [1312.99438214, 1326.68844296]; votes 8128; rank 214 |
| ToneBench2026-08-28-10-task-cd9819ab6e4d · overall_score · leader | 88.19100% of row best · points · Kimi K3 · 15,023 output tokens / case | 61.6270% of row best · points · GPT-5 nano · 7,465 output tokens / case |
| Overall ResultCounted from the protocol-matched rows above | 4 benchmark winsOverall lead | 0 benchmark wins |
Third-party benchmark Only like-for-like primary-publisher results are shown; raw scores, relative scores, configuration, and token spend remain visible.
Technical Differences
Side-by-Side Facts
| Field | Kimi-K3 | GPT-5 Nano |
|---|---|---|
| Developer | Moonshot AI | OpenAI |
| Family | Kimi K3 | Gpt 5 |
| Model | Kimi-K3 | GPT-5 Nano |
| Version | Kimi-K3 | GPT-5 Nano |
| Lifecycle | active | active |
| Released | 2026-07-16 | 2025-08-07 |
| Knowledge cutoff | Unknown | 2024-05-31 |
| Input modalities | Text, Image | Text, Image |
| Output modalities | Text | Text |
| Context window | 1,049K | 400K |
| 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
GPT-5 Nano 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 GPT-5 Nano FAQs
Is Kimi K3 or GPT-5 Nano better for coding?+
This comparison does not currently contain a protocol-matched coding benchmark for both Kimi K3 and GPT-5 Nano, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.
Which is cheaper, Kimi K3 or GPT-5 Nano?+
Kimi K3 is $2.85 and GPT-5 Nano is $0.025 per million tokens, so GPT-5 Nano is cheaper on this metric. Kimi K3 is $14.25 and GPT-5 Nano is $0.20 per million tokens, so GPT-5 Nano is cheaper on this metric.
Which has a larger context window, Kimi K3 or GPT-5 Nano?+
Kimi K3 has the larger sourced context window. Kimi K3 supports 1,049K and GPT-5 Nano supports 400K.
Which performs better in benchmarks, Kimi K3 or GPT-5 Nano?+
Kimi K3 leads the current overall benchmark count. The result uses 4 protocol-matched benchmarks from 3 publishers; it is not a universal quality score.
Can Kimi K3 or GPT-5 Nano be self-hosted?+
Kimi K3 is the only model in this pair currently marked as self-hostable. Kimi K3 is open weight; GPT-5 Nano is not marked open weight.
Can Kimi K3 and GPT-5 Nano understand images?+
Kimi K3 is documented with image input; GPT-5 Nano is documented with image input. This reflects supported input modalities, not vision quality.
Which can generate longer answers, Kimi K3 or GPT-5 Nano?+
Neither has a larger sourced maximum output. Kimi K3 is — and GPT-5 Nano is 128K.
Do Kimi K3 and GPT-5 Nano support reasoning and tool use?+
Kimi K3: reasoning and image input. GPT-5 Nano: reasoning, tool calling, and image input. Feature support does not establish relative quality.
Which is available from more inference providers, Kimi K3 or GPT-5 Nano?+
Kimi K3 has 5 sourced provider routes; GPT-5 Nano has 2, so Kimi K3 has broader tracked availability.
Which offers better value, Kimi K3 or GPT-5 Nano?+
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.