Kimi K2.7 Code vs GPT-5 Nano
At a Glance
| Compare |  Kimi K2.7 CodeMoonshot AI |  GPT-5 NanoOpenAI |
|---|---|---|
| Intelligence, Cost, and Efficiency | ||
| IntelligenceHigher is better · MM Intelligence v2.5 | UnrankedNot in the 46-model eligible cohort | #46 of 460.0 score · 2/3 sources · provisional · missing LiveBench · full-core range 0.0–33.3 |
| CostLower is better · Published-token output estimate | #9 of 44$0.042 per LiveBench case | UnrankedNot in the 44-model eligible cohort |
| Pricing and Limits | ||
| Input priceFrom · USD / 1M tokens | $0.68Deepinfra ↗ · Sep 22, 2026 | $0.025Openrouter ↗ · Sep 3, 2026 |
| Output priceFrom · USD / 1M tokens | $3.21Openrouter ↗ · Sep 22, 2026 | $0.20Openrouter ↗ · Sep 3, 2026 |
| Context windowMaximum documented tokens | 262K | 400K |
| Model facts checked | Sep 3, 2026View model evidence → | Sep 3, 2026View model evidence → |
Token prices are the lowest available sourced USD rates; input and output may use different providers. Cost ranking estimates output spend on LiveBench, not a full request bill. Ranking methodology →
Available Benchmarks
Side-by-Side Facts
| Field | Kimi K2.7 Code | GPT-5 Nano |
|---|---|---|
| Developer | Moonshot AI | OpenAI |
| Family | Kimi K2 7 | Gpt 5 |
| Model | Kimi K2.7 Code | GPT-5 Nano |
| Version | Kimi K2.7 Code | GPT-5 Nano |
| Lifecycle | active | active |
| Released | 2026-06-11 | 2025-08-07 |
| Knowledge cutoff | Unknown | 2024-05-31 |
| Input modalities | Text, Image, Video | Text, Image |
| Output modalities | Text | Text |
| Context window | 262K | 400K |
| Total parameters | 1T | Unknown |
| Active parameters | 32B | Unknown |
| License | modified-mit | Unknown |
| Open weights | Yes | No |
| API available | Yes | Yes |
| Self-hostable | Yes | No |
| Provider access | Deepinfra (Standard), Fireworks Ai (Standard), Openrouter (Standard), Together Ai (Standard) | Openai (Standard), Openrouter (Standard) |
| Capabilities | agents, chat, coding, reasoning, tools, vision | chat, generation, reasoning, structured_outputs, tools |
Kimi K2.7 Code Capabilities
GPT-5 Nano Capabilities
Related Comparisons
All image comparisons →| A | Pair | B | Context |
|---|---|---|---|
Kimi K2.7 CodeMoonshot AI | vs | GPT-6 AstraOpenAI | cross-developer peersimage, text |
Claude Fable 5.1Anthropic | vs | Kimi K2.7 CodeMoonshot AI | cross-developer peersimage, text |
 Gemini 3.1 ProGoogle DeepMind | vs | Kimi K2.7 CodeMoonshot AI | cross-developer peerstext |
 DeepSeek-V4.1-FlashDeepSeek | vs | Kimi K2.7 CodeMoonshot AI | cross-developer peersimage, text |
Kimi K2.7 CodeMoonshot AI | vs | Grok 4.6xAI | cross-developer peersimage, text |
Kimi K2.7 CodeMoonshot AI | vs |  Qwen3.8-MaxQwen | cross-developer peersimage, text, video |
Kimi K2.7 CodeMoonshot AI | vs | Kimi-K3Moonshot AI | family variantsimage, text |
 MiniMax-M3MiniMax | vs | Kimi K2.7 CodeMoonshot AI | cross-developer peersimage, text |
Kimi K2.7 CodeMoonshot AI | vs |  GLM-5.3Z.ai | cross-developer peerstext |
Kimi K2.7 CodeMoonshot AI | vs |  Hy4 previewTencent | cross-developer peerstext |
Seed 2.1 ProByteDance Seed | vs | Kimi K2.7 CodeMoonshot AI | cross-developer peersimage, text, video |
 Mistral Large 3Mistral AI | vs | Kimi K2.7 CodeMoonshot AI | cross-developer peersimage, text |
Primary Evidence
Sources and Freshness
Questions
Kimi K2.7 Code vs GPT-5 Nano FAQs
Is Kimi K2.7 Code or GPT-5 Nano better for coding?+
This comparison does not currently contain a protocol-matched coding benchmark for both Kimi K2.7 Code and GPT-5 Nano, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.
Which is cheaper, Kimi K2.7 Code or GPT-5 Nano?+
Kimi K2.7 Code is $0.68 and GPT-5 Nano is $0.025 per million tokens, so GPT-5 Nano is cheaper on this metric. Kimi K2.7 Code is $3.21 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 K2.7 Code or GPT-5 Nano?+
GPT-5 Nano has the larger sourced context window. Kimi K2.7 Code supports 262K and GPT-5 Nano supports 400K.
Which performs better in benchmarks, Kimi K2.7 Code or GPT-5 Nano?+
There is no overall benchmark winner: At least two independently verified, protocol-matched benchmarks are required for an overall winner.
Can Kimi K2.7 Code or GPT-5 Nano be self-hosted?+
Kimi K2.7 Code is the only model in this pair currently marked as self-hostable. Kimi K2.7 Code is open weight; GPT-5 Nano is not marked open weight.
Can Kimi K2.7 Code and GPT-5 Nano understand images?+
Kimi K2.7 Code 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 K2.7 Code or GPT-5 Nano?+
Neither has a larger sourced maximum output. Kimi K2.7 Code is — and GPT-5 Nano is 128K.
Do Kimi K2.7 Code and GPT-5 Nano support reasoning and tool use?+
Kimi K2.7 Code: reasoning, tool calling, 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 K2.7 Code or GPT-5 Nano?+
Kimi K2.7 Code has 4 sourced provider routes; GPT-5 Nano has 2, so Kimi K2.7 Code has broader tracked availability.
Which offers better value, Kimi K2.7 Code 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.