LLM ReferenceLLM Reference

Phi-3 Mini 128K vs Qwen3.6-35B-A3B

Phi-3 Mini 128K (2024) and Qwen3.6-35B-A3B (2026) are agentic coding models from Microsoft Research and Alibaba. Phi-3 Mini 128K ships a 128K-token context window, while Qwen3.6-35B-A3B ships a 262K-token context window. On MMLU PRO, Qwen3.6-35B-A3B leads by 41.3 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.

Qwen3.6-35B-A3B is safer overall; choose Phi-3 Mini 128K when provider fit matters.

Specs

Released2024-04-232026-04-16
Context window128K262K
Parameters3.8B35
Architecturedecoder onlymoe
LicenseOpen SourceApache 2.0
Knowledge cutoff--

Pricing and availability

Phi-3 Mini 128KQwen3.6-35B-A3B
Input price$0.05/1M tokens-
Output price$0.25/1M tokens-
Providers-

Capabilities

Phi-3 Mini 128KQwen3.6-35B-A3B
Vision
Multimodal
Reasoning
Function calling
Tool use
Structured outputs
Code execution

Benchmarks

BenchmarkPhi-3 Mini 128KQwen3.6-35B-A3B
MMLU PRO43.985.2
Google-Proof Q&A50.886.0

Deep dive

On shared benchmark coverage, MMLU PRO has Phi-3 Mini 128K at 43.9 and Qwen3.6-35B-A3B at 85.2, with Qwen3.6-35B-A3B ahead by 41.3 points; Google-Proof Q&A has Phi-3 Mini 128K at 50.8 and Qwen3.6-35B-A3B at 86, with Qwen3.6-35B-A3B ahead by 35.2 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: Qwen3.6-35B-A3B, function calling: Qwen3.6-35B-A3B, and tool use: Qwen3.6-35B-A3B. 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 128K has $0.05/1M input tokens and Qwen3.6-35B-A3B has no token price sourced yet. Provider availability is 5 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 128K when provider fit and broader provider choice are central to the workload. Choose Qwen3.6-35B-A3B 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 128K or Qwen3.6-35B-A3B?

Qwen3.6-35B-A3B supports 262K tokens, while Phi-3 Mini 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 Mini 128K or Qwen3.6-35B-A3B open source?

Phi-3 Mini 128K is listed under Open Source. Qwen3.6-35B-A3B 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 multimodal input, Phi-3 Mini 128K or Qwen3.6-35B-A3B?

Qwen3.6-35B-A3B 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 function calling, Phi-3 Mini 128K or Qwen3.6-35B-A3B?

Qwen3.6-35B-A3B has the clearer documented function calling signal in this comparison. If function calling is mission-critical, validate it against the provider endpoint because model-level support and API-level exposure can differ.

Which is better for tool use, Phi-3 Mini 128K or Qwen3.6-35B-A3B?

Qwen3.6-35B-A3B has the clearer documented tool use signal in this comparison. If tool use 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 128K and Qwen3.6-35B-A3B?

Phi-3 Mini 128K is available on NVIDIA NIM, Baseten API, Microsoft Foundry, Fireworks AI, and Replicate API. Qwen3.6-35B-A3B 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.