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Phi-3 Mini 4k vs Qwen3.6-27B

Phi-3 Mini 4k (2024) and Qwen3.6-27B (2026) are agentic coding models from Microsoft Research and Alibaba. Phi-3 Mini 4k ships a 4K-token context window, while Qwen3.6-27B ships a 262K-token context window. On MMLU PRO, Qwen3.6-27B leads by 40.5 pts. This comparison covers specs, pricing, capabilities, benchmarks, provider availability, and production fit. It focuses on practical selection signals rather than broad model-family marketing.

Qwen3.6-27B fits 66x more tokens; pick it for long-context work and Phi-3 Mini 4k for tighter calls.

Specs

Released2024-04-232026-04-22
Context window4K262K
Parameters3.8B27B
Architecturedecoder onlydense
LicenseOpen SourceApache 2.0
Knowledge cutoff--

Pricing and availability

Phi-3 Mini 4kQwen3.6-27B
Input price$0.05/1M tokens-
Output price$0.25/1M tokens-
Providers-

Capabilities

Phi-3 Mini 4kQwen3.6-27B
Vision
Multimodal
Reasoning
Function calling
Tool use
Structured outputs
Code execution

Benchmarks

BenchmarkPhi-3 Mini 4kQwen3.6-27B
MMLU PRO45.786.2
Google-Proof Q&A40.987.8

Deep dive

On shared benchmark coverage, MMLU PRO has Phi-3 Mini 4k at 45.7 and Qwen3.6-27B at 86.2, with Qwen3.6-27B ahead by 40.5 points; Google-Proof Q&A has Phi-3 Mini 4k at 40.9 and Qwen3.6-27B at 87.8, with Qwen3.6-27B ahead by 46.9 points. The largest visible gap is 46.9 points on Google-Proof Q&A, 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 vision: Qwen3.6-27B, multimodal input: Qwen3.6-27B, reasoning mode: Qwen3.6-27B, function calling: Qwen3.6-27B, and tool use: Qwen3.6-27B. 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.

Pricing coverage is uneven: Phi-3 Mini 4k has $0.05/1M input tokens and Qwen3.6-27B has no token price sourced yet. Provider availability is 4 tracked routes versus 0. Treat unknown pricing as an integration gap, then verify the route you will actually call before estimating production spend.

Choose Phi-3 Mini 4k when provider fit and broader provider choice are central to the workload. Choose Qwen3.6-27B when coding workflow support and larger context windows 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, Phi-3 Mini 4k or Qwen3.6-27B?

Qwen3.6-27B supports 262K 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.

Is Phi-3 Mini 4k or Qwen3.6-27B open source?

Phi-3 Mini 4k is listed under Open Source. Qwen3.6-27B is listed under Apache 2.0. 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 vision, Phi-3 Mini 4k or Qwen3.6-27B?

Qwen3.6-27B has the clearer documented vision signal in this comparison. If vision is mission-critical, validate it against the provider endpoint because model-level support and API-level exposure can differ. Use this as a quick comparison signal, then confirm the provider-specific limits before committing to production.

Which is better for multimodal input, Phi-3 Mini 4k or Qwen3.6-27B?

Qwen3.6-27B 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, Phi-3 Mini 4k or Qwen3.6-27B?

Qwen3.6-27B 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 Phi-3 Mini 4k and Qwen3.6-27B?

Phi-3 Mini 4k is available on Microsoft Foundry, NVIDIA NIM, Baseten API, and Replicate API. Qwen3.6-27B is available on the tracked providers still being sourced. Provider coverage can affect latency, region availability, compliance posture, and fallback options.

Continue comparing

Last reviewed: 2026-04-23. Data sourced from public model cards and provider documentation.