o4-mini vs Qwen3.6-35B-A3B
o4-mini (2025) and Qwen3.6-35B-A3B (2026) are agentic coding models from OpenAI and Alibaba. o4-mini ships a not-yet-sourced context window, while Qwen3.6-35B-A3B ships a 262K-token context window. On MMLU PRO, Qwen3.6-35B-A3B leads by 2 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. The goal is to make the tradeoff clear before deeper testing.
Qwen3.6-35B-A3B is safer overall; choose o4-mini when coding workflow support matters.
Specs
| Released | 2025-04-16 | 2026-04-16 |
| Context window | — | 262K |
| Parameters | — | 35 |
| Architecture | decoder only | moe |
| License | Proprietary | Apache 2.0 |
| Knowledge cutoff | 2025-08 | - |
Pricing and availability
| o4-mini | Qwen3.6-35B-A3B | |
|---|---|---|
| Input price | $0.5/1M tokens | - |
| Output price | $2/1M tokens | - |
| Providers | - |
Capabilities
| o4-mini | Qwen3.6-35B-A3B | |
|---|---|---|
| Vision | ||
| Multimodal | ||
| Reasoning | ||
| Function calling | ||
| Tool use | ||
| Structured outputs | ||
| Code execution |
Benchmarks
| Benchmark | o4-mini | Qwen3.6-35B-A3B |
|---|---|---|
| MMLU PRO | 83.2 | 85.2 |
| SWE-bench Verified | 68.1 | 73.4 |
| LiveCodeBench | 87.3 | 80.4 |
Deep dive
On shared benchmark coverage, MMLU PRO has o4-mini at 83.2 and Qwen3.6-35B-A3B at 85.2, with Qwen3.6-35B-A3B ahead by 2 points; SWE-bench Verified has o4-mini at 68.1 and Qwen3.6-35B-A3B at 73.4, with Qwen3.6-35B-A3B ahead by 5.3 points; LiveCodeBench has o4-mini at 87.3 and Qwen3.6-35B-A3B at 80.4, with o4-mini ahead by 6.9 points. The largest visible gap is 6.9 points on LiveCodeBench, 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: o4-mini, reasoning mode: o4-mini, structured outputs: o4-mini, and code execution: o4-mini. Both models share multimodal input, function calling, and tool use, 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: o4-mini has $0.5/1M input tokens and Qwen3.6-35B-A3B 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 o4-mini when coding workflow support and broader provider choice are central to the workload. Choose Qwen3.6-35B-A3B when coding workflow support are more important. For production, rerun your own prompts through the exact provider, region, and tool stack you plan to ship.
FAQ
Is o4-mini or Qwen3.6-35B-A3B open source?
o4-mini is listed under Proprietary. 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, o4-mini or Qwen3.6-35B-A3B?
o4-mini 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, o4-mini or Qwen3.6-35B-A3B?
Both o4-mini and Qwen3.6-35B-A3B expose multimodal input. The better choice depends on benchmark fit, context budget, pricing, and whether your provider route exposes the same capability surface. Use this as a quick comparison signal, then confirm the provider-specific limits before committing to production.
Which is better for reasoning mode, o4-mini or Qwen3.6-35B-A3B?
o4-mini 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.
Which is better for function calling, o4-mini or Qwen3.6-35B-A3B?
Both o4-mini and Qwen3.6-35B-A3B expose function calling. The better choice depends on benchmark fit, context budget, pricing, and whether your provider route exposes the same capability surface. Use this as a quick comparison signal, then confirm the provider-specific limits before committing to production.
Where can I run o4-mini and Qwen3.6-35B-A3B?
o4-mini is available on OpenAI API, OpenRouter, OpenAI Batch API, 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: 2026-04-24. Data sourced from public model cards and provider documentation.