BenchLeader

Phi-4-mini-reasoning

Phi-4-mini-reasoning is a Microsoft open-weights reasoning model, released 30 Apr 2025. It is not yet ranked: no independent benchmark results so far, only pricing and metadata. At $0.131 per million tokens blended it is among the cheapest fifth of ranked models.

Blended price
$0.131/M
$0.075 in · $0.300 out
Output speed
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First answer
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Context
128k
Full answer
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Cost per run
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Released
30 Apr 2025

No independent quality benchmark results yet — only pricing and metadata.

What a task costs

Estimates from list price, output speed and time to first answer for the best configuration. “With caching” assumes three-quarters of the input is served from the prompt cache. Reasoning tokens are not modelled.

WorkloadTokens in / outCostWith cachingTime
Chat reply400 / 300$0.0001––
Summarize a 30-page report12,000 / 600$0.0011––
Code edit6,000 / 1,500$0.0009––
Agentic coding session60,000 / 4,000$0.0057––
Structured extraction2,000 / 200$0.0002––

More from Microsoft

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Questions people ask

Why does Phi-4-mini-reasoning have no BenchLeader Index score?
The index needs at least five independent results across at least two categories; as of 25 Oct 2026 Phi-4-mini-reasoning has 0 that count. Launch-post scores are never used, so it is ranked once independent publishers have measured it.
How much does Phi-4-mini-reasoning cost per 1M tokens?
As of 25 Oct 2026, Phi-4-mini-reasoning costs $0.075 per 1M input tokens and $0.300 per 1M output tokens, $0.131 blended (three input tokens per output token).
When was Phi-4-mini-reasoning released?
Microsoft released Phi-4-mini-reasoning on 30 Apr 2025.

Data as of 25 Oct 2026. Compare with another model.

Cite as: BenchLeader, “Phi-4-mini-reasoning: benchmarks, pricing, speed and rank”, data as of 25 Oct 2026, https://www.benchleader.com/models/phi-4-mini-reasoning.