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Grok 4 vs Phi-3 Mini 4k

Grok 4 (2026) and Phi-3 Mini 4k (2024) are frontier reasoning models from xAI and Microsoft Research. Grok 4 ships a 256k-token context window, while Phi-3 Mini 4k ships a 4K-token context window. On MMLU PRO, Grok 4 leads by 41.3 pts. On pricing, Phi-3 Mini 4k costs $0.05/1M input tokens versus $3/1M for the alternative. This comparison covers specs, pricing, capabilities, benchmarks, provider availability, and production fit.

Phi-3 Mini 4k is ~5900% cheaper at $0.05/1M; pay for Grok 4 only for coding workflow support.

Specs

Released2026-03-012024-04-23
Context window256k4K
Parameters3.8B
Architecturedecoder onlydecoder only
LicenseProprietaryOpen Source
Knowledge cutoff--

Pricing and availability

Grok 4Phi-3 Mini 4k
Input price$3/1M tokens$0.05/1M tokens
Output price$15/1M tokens$0.25/1M tokens
Providers

Capabilities

Grok 4Phi-3 Mini 4k
Vision
Multimodal
Reasoning
Function calling
Tool use
Structured outputs
Code execution

Benchmarks

BenchmarkGrok 4Phi-3 Mini 4k
MMLU PRO87.045.7

Deep dive

On shared benchmark coverage, MMLU PRO has Grok 4 at 87 and Phi-3 Mini 4k at 45.7, with Grok 4 ahead by 41.3 points. The largest visible gap is 41.3 points on MMLU PRO, which matters most when that benchmark mirrors your workload. Treat isolated benchmark wins as directional, because provider routing, prompt style, and tool access can move real application results.

The capability footprint differs most on multimodal input: Grok 4, reasoning mode: Grok 4, structured outputs: Grok 4, and code execution: Grok 4. Both models share the core language-model surface, so the practical split is not just feature count. Use those differences to decide whether the page is about raw model quality, agentic coding support, multimodal ingestion, or predictable structured API behavior.

For cost, Grok 4 lists $3/1M input and $15/1M output tokens, while Phi-3 Mini 4k lists $0.05/1M input and $0.25/1M output tokens on the cheapest tracked provider. A 70/30 input-output blend puts Phi-3 Mini 4k lower by about $6.49 per million blended tokens. Availability is 3 providers versus 4, so concentration risk also matters.

Choose Grok 4 when coding workflow support and larger context windows are central to the workload. Choose Phi-3 Mini 4k when provider fit, lower input-token cost, and broader provider choice are more important. For production, rerun your own prompts through the exact provider, region, and tool stack you plan to ship.

FAQ

Which has a larger context window, Grok 4 or Phi-3 Mini 4k?

Grok 4 supports 256k tokens, while Phi-3 Mini 4k supports 4K tokens. That gap matters most for long documents, large codebases, retrieval-heavy agents, and conversations where earlier context must remain visible.

Which is cheaper, Grok 4 or Phi-3 Mini 4k?

Phi-3 Mini 4k is cheaper on tracked token pricing. Grok 4 costs $3/1M input and $15/1M output tokens. Phi-3 Mini 4k costs $0.05/1M input and $0.25/1M output tokens. Provider discounts or batch pricing can still change the final bill.

Is Grok 4 or Phi-3 Mini 4k open source?

Grok 4 is listed under Proprietary. Phi-3 Mini 4k is listed under Open Source. License labels affect whether you can self-host, redistribute weights, or rely only on hosted APIs, so confirm the upstream license before deployment.

Which is better for multimodal input, Grok 4 or Phi-3 Mini 4k?

Grok 4 has the clearer documented multimodal input signal in this comparison. If multimodal input is mission-critical, validate it against the provider endpoint because model-level support and API-level exposure can differ.

Which is better for reasoning mode, Grok 4 or Phi-3 Mini 4k?

Grok 4 has the clearer documented reasoning mode signal in this comparison. If reasoning mode is mission-critical, validate it against the provider endpoint because model-level support and API-level exposure can differ.

Where can I run Grok 4 and Phi-3 Mini 4k?

Grok 4 is available on Microsoft Foundry, OpenRouter, and Replicate API. Phi-3 Mini 4k is available on Microsoft Foundry, NVIDIA NIM, Baseten API, and Replicate API. Provider coverage can affect latency, region availability, compliance posture, and fallback options.

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Last reviewed: 2026-04-24. Data sourced from public model cards and provider documentation.