Phi 4 Mini Instruct Pricing
FastMicrosoft · 131K tokens context
Phi 4 Mini Instruct from Microsoft costs $0.080 per 1 million input tokens and $0.350 per 1 million output tokens as of June 2026 (live OpenRouter data). The model supports a 131,072-token context window (approximately 98,304 words) with a 128K-token maximum output. A typical 1,000-token request costs $0.0001 in input charges; a 10,000-token request costs $0.0008.
| Input price | $0.080 / 1M tokens |
|---|---|
| Output price | $0.350 / 1M tokens |
| Output / input ratio | 4.4× |
| Context window | 131,072 tokens (~98,304 words) |
| Maximum output | 128,000 tokens |
| Cost per 1K tokens (input) | $0.0001 |
| Tier | Fast |
| Last verified |
Phi-4-mini-instruct is a lightweight open model built upon synthetic data and filtered publicly available websites - with a focus on high-quality, reasoning dense data. The model belongs to the Phi-4...
Input Price
$0.080
per 1 million tokens
Output Price
$0.350
per 1 million tokens
Context Window
131K tokens
max 128K output
Cost Examples
| Request Type | Tokens | Input Cost | Output Cost |
|---|---|---|---|
| 1,000 word article | 1,333 | $0.000107 | $0.00014 |
| 10-page document (2,500 words) | 3,333 | $0.000267 | $0.00035 |
| 1,000 lines of code | 5,000 | $0.0004 | $0.000525 |
| 100K token document | 100,000 | $0.008 | $0.0105 |
Output cost estimated at 30% of input token count. Use the calculator for exact figures.
Strengths
- ✓Extremely cheap at $0.080/1M input tokens
- ✓Low latency for high-throughput workloads
- ✓Cost-effective at scale
Limitations
- –Less capable than flagship models on complex reasoning
- –Quality and availability can vary by hosting provider
Best Use Cases
Calculate Phi 4 Mini Instruct Costs
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