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Phi-3 Medium 128K vs Qwen3.5-235B-A22B

Phi-3 Medium 128K (2024) and Qwen3.5-235B-A22B (2026) are compact production models from Microsoft Research and Alibaba. Phi-3 Medium 128K ships a 128K-token context window, while Qwen3.5-235B-A22B 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 fits 4x more tokens; pick it for long-context work and Phi-3 Medium 128K for tighter calls.

Specs

Released2024-05-212026-02-24
Context window128K512k
Parameters14B235B
Architecturedecoder onlyMoE
LicenseOpen SourceApache 2.0
Knowledge cutoff--

Pricing and availability

Phi-3 Medium 128KQwen3.5-235B-A22B
Input price$0.5/1M tokens-
Output price$1.5/1M tokens-
Providers-

Capabilities

Phi-3 Medium 128KQwen3.5-235B-A22B
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 Medium 128K has $0.5/1M input tokens and Qwen3.5-235B-A22B has no token price sourced yet. Provider availability is 2 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 Medium 128K when provider fit and broader provider choice are central to the workload. Choose Qwen3.5-235B-A22B 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 Medium 128K or Qwen3.5-235B-A22B?

Qwen3.5-235B-A22B supports 512k tokens, while Phi-3 Medium 128K supports 128K tokens. That gap matters most for long documents, large codebases, retrieval-heavy agents, and conversations where earlier context must remain visible.

Is Phi-3 Medium 128K or Qwen3.5-235B-A22B open source?

Phi-3 Medium 128K is listed under Open Source. Qwen3.5-235B-A22B 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 Medium 128K and Qwen3.5-235B-A22B?

Phi-3 Medium 128K is available on Microsoft Foundry and NVIDIA NIM. Qwen3.5-235B-A22B 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 Medium 128K over Qwen3.5-235B-A22B?

Qwen3.5-235B-A22B fits 4x more tokens; pick it for long-context work and Phi-3 Medium 128K for tighter calls. If your workload also depends on provider fit, start with Phi-3 Medium 128K; if it depends on long-context analysis, run the same evaluation with Qwen3.5-235B-A22B.

Continue comparing

Last reviewed: 2026-04-18. Data sourced from public model cards and provider documentation.