Phi-3 Mini 4k
Phi-3 Mini 4k is worth evaluating for coding and classification when its provider route and context window match the workload.
Use it for
- Teams evaluating coding and classification
- Workloads that can use a 4k context window
- Buyers comparing 4 tracked provider routes
Do not use it for
- Vision or document-understanding workloads
- Strict JSON or tool-calling flows
Advancing the state-of-the-art in AI and computing.
Cheapest of 4 routes · Replicate API
About
The Phi-3 Mini-4K-Instruct model by Microsoft is an advanced, lightweight language model boasting 3.8 billion parameters, optimized for environments with limited computational resources. It excels in various natural language processing tasks, especially in reasoning, text generation, and maintaining multi-turn conversations. Trained on a mix of synthetic and high-quality data, the model is tailored for effective instruction-following. Despite its capabilities, it has limitations in factual knowledge and multilingual support, often requiring external resources to enhance accuracy. The model is ideal for commercial and research applications that demand efficient processing, such as mobile apps and real-time systems.
Phi-3 Mini 4k is an open-source model in the Phi-3 family. The structured metadata tracks a 4k-token context window. This page tracks provider routes through Microsoft Foundry, NVIDIA NIM, Baseten API, and 1 more, with the cheapest tracked route listed at $0.05 input and $0.25 output per 1M tokens. Headline tracked benchmarks include Google-Proof Q&A 40.9, HellaSwag 87.1, and HumanEval 59.8.
Top use-case fit: coding, agents, and build tasks
Coding
Q/$ B1 relevant benchmark in the decision map.
Classification
Q/$ C3 relevant benchmarks in the decision map.
Provider price ladder
Compare all 4Compare API pricing across 4 providers for input and output tokens, batch, and cached reads when available.
| Provider | Input / 1M | Output / 1M | Route |
|---|---|---|---|
| Replicate API | $0.050 | $0.250 | Serverless |
| Microsoft Foundry | $0.280 | $0.840 | ServerlessProvisioned |
| Baseten API | - | - | ServerlessPartial |
| NVIDIA NIM | - | - | ProvisionedPartial |
Available via routers & gateways(6)
LiteLLM
GatewayOpen-source Python SDK and proxy server that unifies 100+ LLM APIs behind a single OpenAI-compatible interface, with load balancing, cost tracking, and configurable failover.
Portkey
GatewayProduction AI gateway routing to 1,600+ LLMs with failover, load balancing, semantic caching, and guardrails; Apache 2.0 core is fully self-hostable with the complete feature set.
Azure AI Foundry Model Router
RouterMicrosoft Azure AI Foundry's native model router that uses a trained ML model to route each prompt in real time to the optimal Azure-hosted model, with Balanced/Cost/Quality mode selection and automatic failover.
Helicone
GatewayObservability-first AI gateway with routing, caching, rate limiting, and request tracing; Apache 2.0 open-source core with a managed hosted tier for logging and analytics.
Kong AI Gateway
GatewayMulti-LLM AI gateway built on Kong Gateway 3.x, adding semantic routing, load balancing, guardrails, and MCP traffic analytics as plugins over Kong's existing API management platform.
NVIDIA LLM Router Blueprint
RouterNVIDIA's open-source AI blueprint for LLM routing that selects the optimal model per prompt via intent classification or neural auto-routing; being deprecated 2026-06-20.
Capabilities
No model capability flags are currently sourced.
Benchmark peer barsfor Coding
Benchmark scores(6)
| Benchmark | Score | Version | Source |
|---|---|---|---|
| Google-Proof Q&A | 40.9 | diamond | https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard |
| HellaSwag | 87.1 | 10-shot | https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard |
| HumanEval | 59.8 | pass@1 | https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard |
| Massive Multitask Language Understanding | 68.2 | 5-shot | https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard |
| Instruction-Following Evaluation | 45.0 | v2 | https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard |
| MMLU PRO | 45.7 | — | https://huggingface.co/spaces/TIGER-Lab/MMLU-Pro |
Migration checks
No linked migration route is available for this model yet.
Rankings & picks(1)
Compare Phi-3 Mini 4k with other models
Comparison and alternatives
Browse all comparisons →Show all 18 popular comparisonssorted by 7-day search impressions
Frequently asked questions
What is the context window of Phi-3 Mini 4k?
Phi-3 Mini 4k has a context window of 4k tokens.
How much does Phi-3 Mini 4k cost?
Phi-3 Mini 4k pricing ranges from $0.05/1M to $0.28/1M input tokens depending on the provider.
When was Phi-3 Mini 4k released?
Phi-3 Mini 4k was released on 2024-04-23.
Which providers offer Phi-3 Mini 4k?
Phi-3 Mini 4k is available from 4 providers: Microsoft Foundry, NVIDIA NIM, Baseten API, Replicate API.
What benchmarks has Phi-3 Mini 4k been tested on?
Phi-3 Mini 4k has been evaluated on 6 benchmarks, including Google-Proof Q&A, HellaSwag, HumanEval, Massive Multitask Language Understanding, Instruction-Following Evaluation.
Advancing the state-of-the-art in AI and computing.
Cheapest of 4 routes · Replicate API