Phi-3 Mini 4k vs Qwen3.6-35B-A3B
Phi-3 Mini 4k (2024) and Qwen3.6-35B-A3B (2026) compare a standalone API model against a coding-specialized model. Phi-3 Mini 4k ships a 4k-token context window, while Qwen3.6-35B-A3B ships a 262k-token context window. On MMLU PRO, Qwen3.6-35B-A3B leads by 39.5 pts. On pricing, Phi-3 Mini 4k costs $0.05/1M input tokens versus $0.15/1M for the alternative. This page treats the result as workflow and deployment fit, not a universal model winner.
Treat this as a product-type comparison: Phi-3 Mini 4k is standalone API model, while Qwen3.6-35B-A3B is coding-specialized model. Choose based on workflow fit before reading any benchmark or price row as decisive.
Decision scorecard
Local evidence first| Signal | Phi-3 Mini 4k | Qwen3.6-35B-A3B |
|---|---|---|
| Product type | Standalone API model | Coding-specialized model |
| Best for | provider-routed production | custom coding agents, code generation, and tool loops |
| Decision fit | Coding and Classification | Coding, RAG, and Agents |
| Context window | 4k | 262k |
| Cheapest output | $0.25/1M tokens | $1/1M tokens |
| Provider routes | 4 tracked | 2 tracked |
| Shared benchmarks | 2 rows | MMLU PRO leader |
Decision tradeoffs
- Phi-3 Mini 4k has the lower cheapest tracked output price at $0.25/1M tokens.
- Phi-3 Mini 4k has broader tracked provider coverage for fallback and procurement flexibility.
- Local decision data tags Phi-3 Mini 4k for Coding and Classification.
- Qwen3.6-35B-A3B holds a shared-benchmark lead on MMLU PRO, ahead by 39.5 points.
- Qwen3.6-35B-A3B has the larger context window for long prompts, retrieval packs, or transcript analysis.
- Qwen3.6-35B-A3B uniquely exposes Vision, Multimodal, and Function calling in local model data.
- Local decision data tags Qwen3.6-35B-A3B for Coding, RAG, and Agents.
Monthly cost at traffic
Estimate token spend from the cheapest tracked input and output route or tier on this page.
Phi-3 Mini 4k
$103
Cheapest tracked route/tier: Replicate API
Qwen3.6-35B-A3B
$370
Cheapest tracked route/tier: OpenRouter
Estimated monthly gap: $268. Batch, cache, alternate speed tiers, and negotiated pricing are excluded from this local estimate.
Switch friction
- No overlapping tracked provider route is sourced for Phi-3 Mini 4k and Qwen3.6-35B-A3B; plan for SDK, billing, or endpoint changes.
- Qwen3.6-35B-A3B is $0.75/1M tokens higher on cheapest tracked output pricing, so quality gains need to justify the spend.
- Qwen3.6-35B-A3B adds Vision, Multimodal, and Function calling in local capability data.
- No overlapping tracked provider route is sourced for Qwen3.6-35B-A3B and Phi-3 Mini 4k; plan for SDK, billing, or endpoint changes.
- Phi-3 Mini 4k is $0.75/1M tokens lower on cheapest tracked output pricing before cache, batch, or negotiated discounts.
- Check replacement coverage for Vision, Multimodal, and Function calling before moving production traffic.
Specs
| Specification | ||
|---|---|---|
| Released | 2024-04-23 | 2026-04-16 |
| Context window | 4k | 262k |
| Parameters | 3.8B | 35B |
| Architecture | decoder only | moe |
| License | MIT(OSI) | Apache 2.0(OSI) |
| Openness | Open source | Open source |
| Commercial use | Commercial use allowed | Commercial use allowed |
| Knowledge cutoff | 2023-10 | - |
Pricing and availability
| Pricing attribute | Phi-3 Mini 4k | Qwen3.6-35B-A3B |
|---|---|---|
| Input price | $0.05/1M tokens | $0.15/1M tokens |
| Output price | $0.25/1M tokens | $1/1M tokens |
| Providers |
Capabilities
| Capability | Phi-3 Mini 4k | Qwen3.6-35B-A3B |
|---|---|---|
| Vision | No | Yes |
| Multimodal | No | Yes |
| Reasoning | No | No |
| Function calling | No | Yes |
| Tool use | No | Yes |
| Structured outputs | No | No |
| Code execution | No | No |
| IDE integration | No | No |
| Computer use | No | No |
| Parallel agents | No | No |
Benchmarks
| Benchmark | Phi-3 Mini 4k | Qwen3.6-35B-A3B |
|---|---|---|
| MMLU PRO | 45.7 | 85.2 |
| Google-Proof Q&A | 40.9 | 86.0 |
Deep dive
On shared benchmark coverage, MMLU PRO has Phi-3 Mini 4k at 45.7 and Qwen3.6-35B-A3B at 85.2, with Qwen3.6-35B-A3B ahead by 39.5 points; Google-Proof Q&A has Phi-3 Mini 4k at 40.9 and Qwen3.6-35B-A3B at 86, with Qwen3.6-35B-A3B ahead by 45.1 points. The largest visible gap is 45.1 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: Qwen3.6-35B-A3B, 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.
For cost, Phi-3 Mini 4k lists $0.05/1M input and $0.25/1M output tokens on the cheapest tracked provider, while Qwen3.6-35B-A3B lists $0.15/1M input and $1/1M output tokens on the cheapest tracked provider. A 70/30 input-output blend puts Phi-3 Mini 4k lower by about $0.29 per million blended tokens. Availability is 4 providers versus 2, so concentration risk also matters.
Choose Phi-3 Mini 4k when provider fit, lower input-token cost, 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 4k or Qwen3.6-35B-A3B?
Qwen3.6-35B-A3B 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.
Which is cheaper, Phi-3 Mini 4k or Qwen3.6-35B-A3B?
Phi-3 Mini 4k is cheaper on tracked token pricing. Phi-3 Mini 4k costs $0.05/1M input and $0.25/1M output tokens. Qwen3.6-35B-A3B costs $0.15/1M input and $1/1M output tokens. Provider discounts or batch pricing can still change the final bill.
Is Phi-3 Mini 4k or Qwen3.6-35B-A3B open source?
Phi-3 Mini 4k is listed under MIT. 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 vision, Phi-3 Mini 4k or Qwen3.6-35B-A3B?
Qwen3.6-35B-A3B 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 Qwen3.6-35B-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.
Where can I run Phi-3 Mini 4k and Qwen3.6-35B-A3B?
Phi-3 Mini 4k is available on Microsoft Foundry, NVIDIA NIM, Baseten API, and Replicate API. Qwen3.6-35B-A3B is available on OpenRouter and Novita AI. Provider coverage can affect latency, region availability, compliance posture, and fallback options.
Continue comparing
Last reviewed: 2026-06-04. Data sourced from public model cards and provider documentation.