phi-4 vs GPT-5 Nano
At a Glance
| Compare |  phi-4Microsoft |  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 | $0.070Deepinfra ↗ · Sep 22, 2026 | $0.025Openrouter ↗ · Sep 3, 2026 |
| Output priceFrom · USD / 1M tokens | $0.14Deepinfra ↗ · Sep 22, 2026 | $0.20Openrouter ↗ · Sep 3, 2026 |
| Context windowMaximum documented tokens | 16K | 400K |
| Model facts checked | Aug 28, 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 | phi-4 | GPT-5 Nano |
|---|---|---|
| Berkeley Function Calling Leaderboardv4-ede5081a24bc · overall_accuracy · leader | 28.79100% of row best · percent · Phi-4 (Prompt) | 27.5596% of row best · percent · GPT-5-nano-2025-08-07 (Prompt) |
| LMArena Text Arenatext-2026-09-13-d25aabda0010 · arena_rating · leader | 1,216.6092% of row best · rating · phi-4; 95% CI [1212.02298793, 1221.18318193]; votes 24126; rank 300 | 1,319.72100% of row best · rating · gpt-5-nano-high; 95% CI [1312.87607943, 1326.57003978]; votes 8128; rank 218 |
| Overall ResultCounted from the protocol-matched rows above | 1 benchmark winNo overall winner | 1 benchmark winNo 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 | phi-4 | GPT-5 Nano |
|---|---|---|
| Developer | Microsoft | OpenAI |
| Family | Phi 4 | Gpt 5 |
| Model | phi-4 | GPT-5 Nano |
| Version | phi-4 | GPT-5 Nano |
| Lifecycle | active | active |
| Released | 2024-12-12 | 2025-08-07 |
| Knowledge cutoff | Unknown | 2024-05-31 |
| Input modalities | Text | Text, Image |
| Output modalities | Text | Text |
| Context window | 16K | 400K |
| Total parameters | 14.7B | Unknown |
| Active parameters | Unknown | Unknown |
| License | mit | Unknown |
| Open weights | Yes | No |
| API available | Yes | Yes |
| Self-hostable | Yes | No |
| Provider access | Deepinfra (Standard), Hugging Face (Standard), Openrouter (Standard) | Openai (Standard), Openrouter (Standard) |
| Capabilities | chat, generation | chat, generation, reasoning, structured_outputs, tools |
phi-4 Capabilities
GPT-5 Nano Capabilities
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|---|---|---|---|
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phi-4Microsoft | vs |  Hy4 previewTencent | cross-developer peerstext |
Seed 2.1 ProByteDance Seed | vs | phi-4Microsoft | cross-developer peerstext |
phi-4Microsoft | vs |  Mistral Large 3Mistral AI | cross-developer peerstext |
Primary Evidence
Sources and Freshness
Questions
phi-4 vs GPT-5 Nano FAQs
Is phi-4 or GPT-5 Nano better for coding?+
This comparison does not currently contain a protocol-matched coding benchmark for both phi-4 and GPT-5 Nano, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.
Which is cheaper, phi-4 or GPT-5 Nano?+
phi-4 is $0.070 and GPT-5 Nano is $0.025 per million tokens, so GPT-5 Nano is cheaper on this metric. phi-4 is $0.14 and GPT-5 Nano is $0.20 per million tokens, so phi-4 is cheaper on this metric.
Which has a larger context window, phi-4 or GPT-5 Nano?+
GPT-5 Nano has the larger sourced context window. phi-4 supports 16K and GPT-5 Nano supports 400K.
Which performs better in benchmarks, phi-4 or GPT-5 Nano?+
There is no overall benchmark winner: The verified common benchmarks do not produce a majority winner.
Can phi-4 or GPT-5 Nano be self-hosted?+
phi-4 is the only model in this pair currently marked as self-hostable. phi-4 is open weight; GPT-5 Nano is not marked open weight.
Can phi-4 and GPT-5 Nano understand images?+
phi-4 is not 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, phi-4 or GPT-5 Nano?+
Neither has a larger sourced maximum output. phi-4 is — and GPT-5 Nano is 128K.
Do phi-4 and GPT-5 Nano support reasoning and tool use?+
phi-4: none of these features are definitively sourced. GPT-5 Nano: reasoning, tool calling, and image input. Feature support does not establish relative quality.
Which is available from more inference providers, phi-4 or GPT-5 Nano?+
phi-4 has 3 sourced provider routes; GPT-5 Nano has 2, so phi-4 has broader tracked availability.
Which offers better value, phi-4 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.