Phi-3 Mini 4k vs Qwen3.5-235B-A22B-Instruct
Phi-3 Mini 4k (2024) and Qwen3.5-235B-A22B-Instruct (2026) are compact production models from Microsoft Research and Alibaba. Phi-3 Mini 4k ships a 4K-token context window, while Qwen3.5-235B-A22B-Instruct ships a 512k-token context window. This comparison covers specs, pricing, capabilities, benchmarks, provider availability, and production fit. It focuses on practical selection signals rather than broad model-family marketing. The goal is to make the tradeoff clear before deeper testing.
Qwen3.5-235B-A22B-Instruct fits 128x more tokens; pick it for long-context work and Phi-3 Mini 4k for tighter calls.
Specs
| Released | 2024-04-23 | 2026-02-24 |
| Context window | 4K | 512k |
| Parameters | 3.8B | 235B |
| Architecture | decoder only | MoE |
| License | Open Source | Apache 2.0 |
| Knowledge cutoff | - | - |
Pricing and availability
| Phi-3 Mini 4k | Qwen3.5-235B-A22B-Instruct | |
|---|---|---|
| Input price | $0.05/1M tokens | - |
| Output price | $0.25/1M tokens | - |
| Providers | - |
Capabilities
| Phi-3 Mini 4k | Qwen3.5-235B-A22B-Instruct | |
|---|---|---|
| Vision | ||
| Multimodal | ||
| Reasoning | ||
| Function calling | ||
| Tool use | ||
| Structured outputs | ||
| Code execution |
Benchmarks
No shared benchmark rows are currently sourced for this pair.
Deep dive
The capability footprint is close: both models cover the core production surface. That makes context budget, benchmark fit, and provider maturity more important than a simple checklist. If your application depends on one integration detail, verify it against the provider route you plan to use, not just the base model listing.
Pricing coverage is uneven: Phi-3 Mini 4k has $0.05/1M input tokens and Qwen3.5-235B-A22B-Instruct 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 Qwen3.5-235B-A22B-Instruct when long-context analysis 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. This keeps the decision grounded in measurable tradeoffs instead of brand-level assumptions. It also helps separate model capability from provider packaging, which can change cost and latency. For teams standardizing a stack, that distinction is often the difference between a benchmark win and a reliable deployment.
FAQ
Which has a larger context window, Phi-3 Mini 4k or Qwen3.5-235B-A22B-Instruct?
Qwen3.5-235B-A22B-Instruct supports 512k 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 Qwen3.5-235B-A22B-Instruct open source?
Phi-3 Mini 4k is listed under Open Source. Qwen3.5-235B-A22B-Instruct 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.
Where can I run Phi-3 Mini 4k and Qwen3.5-235B-A22B-Instruct?
Phi-3 Mini 4k is available on Microsoft Foundry, NVIDIA NIM, Baseten API, and Replicate API. Qwen3.5-235B-A22B-Instruct is available on the tracked providers still being sourced. Provider coverage can affect latency, region availability, compliance posture, and fallback options.
When should I pick Phi-3 Mini 4k over Qwen3.5-235B-A22B-Instruct?
Qwen3.5-235B-A22B-Instruct fits 128x more tokens; pick it for long-context work and Phi-3 Mini 4k for tighter calls. If your workload also depends on provider fit, start with Phi-3 Mini 4k; if it depends on long-context analysis, run the same evaluation with Qwen3.5-235B-A22B-Instruct.
Continue comparing
Last reviewed: 2026-04-18. Data sourced from public model cards and provider documentation.