phi-4 vs GPT-5.4 Pro
At a Glance
| Compare |  phi-4Microsoft |  GPT-5.4 ProOpenAI |
|---|---|---|
| Pricing and Limits | ||
| Input priceFrom · USD / 1M tokens | $0.070Deepinfra ↗ · Sep 22, 2026 | $30.00Openai ↗ · Sep 3, 2026 |
| Output priceFrom · USD / 1M tokens | $0.14Deepinfra ↗ · Sep 22, 2026 | $180.00Openai ↗ · Sep 3, 2026 |
| Context windowMaximum documented tokens | 16K | 1,050K |
| 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
Side-by-Side Facts
| Field | phi-4 | GPT-5.4 Pro |
|---|---|---|
| Developer | Microsoft | OpenAI |
| Family | Phi 4 | Gpt 5 4 |
| Model | phi-4 | GPT-5.4 Pro |
| Version | phi-4 | GPT-5.4 Pro |
| Lifecycle | active | active |
| Released | 2024-12-12 | 2026-03-05 |
| Knowledge cutoff | Unknown | 2025-08-31 |
| Input modalities | Text | Text, Image |
| Output modalities | Text | Text |
| Context window | 16K | 1,050K |
| 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-5.4 Pro Capabilities
Related Comparisons
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|---|---|---|---|
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phi-4Microsoft | vs | Grok 4.6xAI | cross-developer peerstext |
phi-4Microsoft | vs |  Qwen3.8-MaxQwen | cross-developer peerstext |
phi-4Microsoft | vs |  Kimi-K3Moonshot AI | cross-developer peerstext |
 MiniMax-M3MiniMax | vs | phi-4Microsoft | cross-developer peerstext |
phi-4Microsoft | vs |  GLM-5.3Z.ai | cross-developer peerstext |
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-5.4 Pro FAQs
Is phi-4 or GPT-5.4 Pro better for coding?+
This comparison does not currently contain a protocol-matched coding benchmark for both phi-4 and GPT-5.4 Pro, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.
Which is cheaper, phi-4 or GPT-5.4 Pro?+
phi-4 is $0.070 and GPT-5.4 Pro is $30.00 per million tokens, so phi-4 is cheaper on this metric. phi-4 is $0.14 and GPT-5.4 Pro is $180.00 per million tokens, so phi-4 is cheaper on this metric.
Which has a larger context window, phi-4 or GPT-5.4 Pro?+
GPT-5.4 Pro has the larger sourced context window. phi-4 supports 16K and GPT-5.4 Pro supports 1,050K.
Which performs better in benchmarks, phi-4 or GPT-5.4 Pro?+
There is no overall benchmark winner: At least two independently verified, protocol-matched benchmarks are required for an overall winner.
Can phi-4 or GPT-5.4 Pro be self-hosted?+
phi-4 is the only model in this pair currently marked as self-hostable. phi-4 is open weight; GPT-5.4 Pro is not marked open weight.
Can phi-4 and GPT-5.4 Pro understand images?+
phi-4 is not documented with image input; GPT-5.4 Pro is documented with image input. This reflects supported input modalities, not vision quality.
Which can generate longer answers, phi-4 or GPT-5.4 Pro?+
Neither has a larger sourced maximum output. phi-4 is — and GPT-5.4 Pro is 128K.
Do phi-4 and GPT-5.4 Pro support reasoning and tool use?+
phi-4: none of these features are definitively sourced. GPT-5.4 Pro: reasoning, tool calling, and image input. Feature support does not establish relative quality.
Which is available from more inference providers, phi-4 or GPT-5.4 Pro?+
phi-4 has 3 sourced provider routes; GPT-5.4 Pro has 2, so phi-4 has broader tracked availability.
Which offers better value, phi-4 or GPT-5.4 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.