Side by side
Phi 4 vs GPT-4.1 Nano (batch)
Source: OpenRouter (live)
Live figures
The numbers
Best value in each row is highlighted. “Not declared” means the provider does not advertise the feature on its listing.
| Attribute | ||
|---|---|---|
| Input priceUSD per 1M tokens | $0.07 | $0.05 (best) |
| Output priceUSD per 1M tokens | $0.14 (best) | $0.20 |
| Blended price75% in / 25% out | $0.09 | $0.09 (best) |
| Vs. market median | 89% cheaper | 89% cheaper |
| Value rankcheapest = 1 | #27 | #25 (best) |
| Context windowtokens | 16K | 1.0M (best) |
| Max outputtokens | 15K | 33K (best) |
| Input modalities | text | image, text, file |
| Output modalities | text | text |
| Tool calling | Not declared | Declared |
| Reasoning | Not declared | Not declared |
| Structured output | Declared | Declared |
| Listed on OpenRouter | 2025-01-10 | 2025-04-14 (best) |
Blended price assumes a 3:1 input-to-output token mix. Median is across all 417 priced models.
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What the numbers say
- OpenAI: GPT-4.1 Nano (batch) is the cheapest here at $0.09/M blended — 1.0× less than Microsoft: Phi 4.
- OpenAI: GPT-4.1 Nano (batch) offers the largest context window (1.0M tokens) versus 16K for Microsoft: Phi 4.
- Tool calling is declared for OpenAI: GPT-4.1 Nano (batch) only.
Models
Model pages
Full pricing history, capabilities and alternatives for each model in this comparison.
Microsoft
$0.088
/M blended
$0.087
/M blended
More comparisons
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Gemini's very long context and multimodal input against GPT-5's ecosystem and pricing.
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