Phi 4: API Pricing, Context Window & Benchmarks
Phi 4 is a language model from Microsoft, released in December 2024.
phi-4 is a state-of-the-art open model built to excel at advanced reasoning, coding, and knowledge tasks. It leverages a blend of synthetic data, filtered web data, academic texts, and supervised fine-tuning for precision, alignment, and
Phi 4 benchmarks
Rankings
Quality Tracker
Phi 4 Performance Across Datasets
Scores sourced from the model's scorecard, paper, or official blog posts
llm-stats.com - Mon Jul 20 2026Phi 4 pricing
Providers
Phi 4 starts at $0.0700 per million input tokens and $0.140 per million output tokens via DeepInfra.
| Provider | Input $/M | Output $/M | Workload 1M + 100K | Context in / out | TTFT p50 / p95 s | Output avg / p5 c/s | Success 7d | Modalities in / out |
|---|---|---|---|---|---|---|---|---|
 DeepInfra | $0.0700 | $0.140 | $0.0840 | 16.0K/16.0K | —/0.20 | 33/— | — | / |
Workload cost uses 1M input tokens plus 100K output tokens at published list prices without assuming a cache hit. Cached input is the discounted price for prompt tokens served from a provider cache. TTFT is time to first token. Output is characters per second; p5 is the sustained floor exceeded by 95% of observed requests. Success is calculated from completed versus failed requests over the trailing seven days.
Phi 4 model size
Phi 4 has 14.7 billion parameters and was trained on 9.8 trillion tokens. See how it compares to other models in the same parameter range.
Phi 4 context window
Input and output token limits for Phi 4, plus how it ranks on long-context understanding.
Phi 4 API
Available from the model provider
Phi 4 has an official provider API. It is not currently routed through the LLM Stats gateway.
Read the official API documentationPhi 4 latency
Phi 4 time to first token, sustained output throughput, and failed-request rate from live API traffic over the trailing 7 days.
Phi 4 examples
Recent arena outputs from Phi 4, picked from the highest-ranked matchups.
Phi 4 license
Phi 4 is released under the MIT license, which permits commercial use, has 14.7B parameters, has a knowledge cutoff of June 2024.
- License
- MIT
- Commercial use allowed
- Parameters
- 14.7B
- Knowledge cutoff
- June 2024
MIT License - allows commercial use
Phi 4 resources
Official sources for Phi 4: api documentation, paper or system card, official launch post.
Phi 4 vs other models
The most-compared alternatives to Phi 4 are Grok-2, Llama 3.1 70B Instruct, Claude 3.5 Sonnet. Open any pair side-by-side for benchmarks, pricing, context, and latency.
Models like Phi 4
Models ranked just above and below Phi 4 by LLM Stats score.
FAQ
Common questions about Phi 4.