As of August 25, 2026, Phi 4 Mini API pricing is $0.08 per million input tokens and $0.35 per million output tokens. A typical 100K-in / 20K-out request costs $0.01. Source: https://openrouter.ai/api/v1/models
Source: OpenRouter pricing (https://openrouter.ai/api/v1/models)
Input $/M
$0.08
Output $/M
$0.35
Blended / 1M
$0.43
100K / 20K request
$0.01
Percentile against every model with a published score on that eval. Click a row for the full board.
GPQA against blended input+output $/M. Log price. Phi 4 Mini is the green point.
| Context Window | 131.1K |
|---|---|
| Max Output | N/A |
| Release Date | 2025-02-01 |
| Knowledge Cutoff | 2024-06-01 |
| License | Open Source |
| Throughput | N/A |
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As of August 25, 2026, Phi 4 Mini OpenRouter API pricing is $0.08 per million input tokens and $0.35 per million output tokens via OpenRouter. Input tokens are the prompt you send; output tokens are the completion. Long answers therefore cost more than short ones even when the prompt stays the same. Source: https://openrouter.ai/api/v1/models
On this page the blended Phi 4 Mini API cost is $0.43 for 1 million input tokens plus 1 million output tokens. That 1:1 mix is the comparison scale used across the LLM pricing table. A 3:1 mix (three million input tokens per one million output tokens), which some calculators use, would be about $0.59.
A typical Phi 4 Mini API request with 100K input tokens and 20K output tokens costs about $0.01 at current rates as of August 25, 2026. Multiply that by daily or monthly volume to estimate spend. Caching, batch APIs, and volume discounts from OpenRouter can bring the real invoice lower than the public list rate at https://openrouter.ai/api/v1/models.
Phi 4 Mini supports a 131K token context window. The context window is the total prompt plus conversation history the model can see in one call. Larger windows cost more when you fill them, because every input token is billed per million tokens.
Yes. Phi 4 Mini is an open-weight model by Microsoft. You can download the weights and self-host, or pay OpenRouter's hosted API and skip GPU ops. Hosted API pricing on this page is the public per-million-token rate, not the electricity cost of running the weights yourself.
Phi 4 Mini currently reports GPQA 25.2%, MMLU 67.3%, HellaSwag 69.1%. See the performance table for the full eval set. Use those scores with the token prices above when you are choosing between a cheaper LLM and a frontier model. GPQA, SWE-bench, and HLE are the evals people usually compare first.
Phi 4 Mini has a published knowledge cutoff of 2024-06-01. Facts after that date are not guaranteed to be in the weights. For current events you still need retrieval or tools, which adds input tokens and therefore API cost per million tokens.
Use the Compare picker on this page to start an LLM comparison. Search by model or provider, pick a second model, and AnotherWrapper opens a dedicated Phi 4 Mini vs page with per-million-token prices, blended 1M-in / 1M-out cost, context window, throughput, and benchmarks. You can also open any model from the sidebar, or go back to the LLM pricing table to sort the full index.
The cheapest LLM alternative depends on whether you optimize for blended token cost, coding evals, or context window. Start with the popular matchups on this page, then sort the LLM pricing table by blended cost to see which hosted APIs undercut Phi 4 Mini. Open-weight models can be cheaper still if you self-host, but that is not the same as OpenRouter API pricing on this page.
Phi 4 Mini is called through OpenRouter's API with an API key. Bill against input and output tokens separately; cache or shorten prompts if spend is high. If you are shipping a full product, AnotherWrapper includes pre-built API routes and templates for OpenRouter and 5+ other providers with auth, payments, and deployment already configured.
This Phi 4 Mini page tracks the latest published OpenRouter API pricing from OpenRouter, quoted per million tokens. List rates can differ from invoices because of prompt caching, batch discounts, committed-use tiers, and private contracts. Official rate sheet: https://openrouter.ai/api/v1/models. Benchmark scores come from official publications and independent evals, not from a private lab run by AnotherWrapper.
Phi 4 Mini is a open-source model from Microsoft. Current API pricing is $0.08 per million input tokens and $0.35 per million output tokens, with a 131.1K token context window. A blended 1M-in / 1M-out workload costs $0.43.
Rank it on the LLM leaderboard, SWE-bench, and Humanity's Last Exam.
The index
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