GPT-4o Mini vs GPT-5 Nano
At a Glance
| Compare |  GPT-4o MiniOpenAI | 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 |
| Pricing and Limits | ||
| Input priceFrom · USD / 1M tokens | $0.075Openrouter ↗ · Sep 22, 2026 | $0.025Openrouter ↗ · Sep 3, 2026 |
| Output priceFrom · USD / 1M tokens | $0.30Openrouter ↗ · Sep 22, 2026 | $0.20Openrouter ↗ · Sep 3, 2026 |
| Context windowMaximum documented tokens | 128K | 400K |
| Model facts checked | Aug 29, 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
| Benchmark | GPT-4o Mini | GPT-5 Nano |
|---|---|---|
| LMArena Text Arenatext-2026-09-13-d25aabda0010 · arena_rating · leader | 1,286.3297% of row best · rating · gpt-4o-mini-2024-07-18; 95% CI [1282.80018045, 1289.83842881]; votes 68697; rank 249 | 1,319.72100% of row best · rating · gpt-5-nano-high; 95% CI [1312.87607943, 1326.57003978]; votes 8128; rank 218 |
| LMArena Vision Arenavision-2026-09-13-d25aabda0010 · arena_rating · leader | 1,065.6392% of row best · rating · gpt-4o-mini-2024-07-18; 95% CI [1057.37402316, 1073.87669447]; votes 17341; rank 122 | 1,159.10100% of row best · rating · gpt-5-nano-high; 95% CI [1148.05999135, 1170.13906838]; votes 3948; rank 100 |
| ToneBench2026-09-11-10-task-4ef099199c9c · overall_score · unverified | 58.1394% of row best · points · GPT-4o mini · 1,347 output tokens / case | 61.62100% of row best · points · GPT-5 nano · 7,465 output tokens / case |
| Overall ResultCounted from the protocol-matched rows above | 0 benchmark winsNo overall winner | 2 benchmark winsNo overall winner |
Third-party benchmark Only like-for-like primary-publisher results are shown; raw scores, relative scores, configuration, and token spend remain visible.
Side-by-Side Facts
| Field | GPT-4o Mini | GPT-5 Nano |
|---|---|---|
| Developer | OpenAI | OpenAI |
| Family | Gpt 4o | Gpt 5 |
| Model | GPT-4o Mini | GPT-5 Nano |
| Version | GPT-4o Mini | GPT-5 Nano |
| Lifecycle | active | active |
| Released | Unknown | 2025-08-07 |
| Knowledge cutoff | 2023-10-01 | 2024-05-31 |
| Input modalities | Text, Image | Text, Image |
| Output modalities | Text | Text |
| Context window | 128K | 400K |
| Total parameters | Unknown | Unknown |
| Active parameters | Unknown | Unknown |
| License | Unknown | Unknown |
| Open weights | No | No |
| API available | Yes | Yes |
| Self-hostable | No | No |
| Provider access | Openai (Standard), Openrouter (Standard) | Openai (Standard), Openrouter (Standard) |
| Capabilities | chat, generation, tools | chat, generation, reasoning, structured_outputs, tools |
GPT-4o Mini Capabilities
GPT-5 Nano Capabilities
Related Comparisons
All image comparisons →| A | Pair | B | Context |
|---|---|---|---|
GPT-4o MiniOpenAI | vs | GPT-6 AstraOpenAI | family variantsimage, text |
Claude Fable 5.1Anthropic | vs | GPT-4o MiniOpenAI | cross-developer peersimage, text |
 Gemini 3.1 ProGoogle DeepMind | vs | GPT-4o MiniOpenAI | cross-developer peerstext |
 DeepSeek-V4.1-FlashDeepSeek | vs | GPT-4o MiniOpenAI | cross-developer peersimage, text |
GPT-4o MiniOpenAI | vs | Grok 4.6xAI | cross-developer peersimage, text |
GPT-4o MiniOpenAI | vs |  Qwen3.8-MaxQwen | cross-developer peersimage, text |
 Kimi-K3Moonshot AI | vs | GPT-4o MiniOpenAI | cross-developer peersimage, text |
 MiniMax-M3MiniMax | vs | GPT-4o MiniOpenAI | cross-developer peersimage, text |
GPT-4o MiniOpenAI | vs |  GLM-5.3Z.ai | cross-developer peerstext |
GPT-4o MiniOpenAI | vs |  Hy4 previewTencent | cross-developer peerstext |
Seed 2.1 ProByteDance Seed | vs | GPT-4o MiniOpenAI | cross-developer peersimage, text |
 Mistral Large 3Mistral AI | vs | GPT-4o MiniOpenAI | cross-developer peersimage, text |
Primary Evidence
Sources and Freshness
Questions
GPT-4o Mini vs GPT-5 Nano FAQs
Is GPT-4o Mini or GPT-5 Nano better for coding?+
This comparison does not currently contain a protocol-matched coding benchmark for both GPT-4o Mini and GPT-5 Nano, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.
Which is cheaper, GPT-4o Mini or GPT-5 Nano?+
GPT-4o Mini is $0.075 and GPT-5 Nano is $0.025 per million tokens, so GPT-5 Nano is cheaper on this metric. GPT-4o Mini is $0.30 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, GPT-4o Mini or GPT-5 Nano?+
GPT-5 Nano has the larger sourced context window. GPT-4o Mini supports 128K and GPT-5 Nano supports 400K.
Which performs better in benchmarks, GPT-4o Mini or GPT-5 Nano?+
There is no overall benchmark winner: An overall winner requires at least two decisive benchmarks from at least two original publishers.
Can GPT-4o Mini or GPT-5 Nano be self-hosted?+
Both models have the same recorded self-hosting status: unsupported. GPT-4o Mini is not marked open weight; GPT-5 Nano is not marked open weight.
Can GPT-4o Mini and GPT-5 Nano understand images?+
GPT-4o Mini 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, GPT-4o Mini or GPT-5 Nano?+
GPT-5 Nano has the larger sourced maximum output: GPT-4o Mini supports 16K and GPT-5 Nano supports 128K output tokens.
Do GPT-4o Mini and GPT-5 Nano support reasoning and tool use?+
GPT-4o Mini: 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, GPT-4o Mini or GPT-5 Nano?+
GPT-4o Mini has 2 sourced provider routes; GPT-5 Nano has 2, a tie.
Which offers better value, GPT-4o Mini 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.