o3 Mini vs Qwen3.5-397B-A17B
o3 Mini (2025) and Qwen3.5-397B-A17B (2026) are frontier reasoning models from OpenAI and Alibaba. o3 Mini ships a not-yet-sourced context window, while Qwen3.5-397B-A17B ships a 262K-token context window. On MMLU PRO, Qwen3.5-397B-A17B leads by 8.7 pts. On pricing, Qwen3.5-397B-A17B costs $0.39/1M input tokens versus $1.1/1M for the alternative. This comparison covers specs, pricing, capabilities, benchmarks, provider availability, and production fit.
Qwen3.5-397B-A17B is ~182% cheaper at $0.39/1M; pay for o3 Mini only for coding workflow support.
Specs
| Released | 2025-03-31 | 2026-02-16 |
| Context window | — | 262K |
| Parameters | — | 397B |
| Architecture | decoder only | MoE |
| License | Unknown | Apache 2.0 |
| Knowledge cutoff | 2025-04 | - |
Pricing and availability
| o3 Mini | Qwen3.5-397B-A17B | |
|---|---|---|
| Input price | $1.1/1M tokens | $0.39/1M tokens |
| Output price | $4.4/1M tokens | $2.34/1M tokens |
| Providers |
Capabilities
| o3 Mini | Qwen3.5-397B-A17B | |
|---|---|---|
| Vision | ||
| Multimodal | ||
| Reasoning | ||
| Function calling | ||
| Tool use | ||
| Structured outputs | ||
| Code execution |
Benchmarks
| Benchmark | o3 Mini | Qwen3.5-397B-A17B |
|---|---|---|
| MMLU PRO | 79.1 | 87.8 |
| Google-Proof Q&A | 79.7 | 89.3 |
Deep dive
On shared benchmark coverage, MMLU PRO has o3 Mini at 79.1 and Qwen3.5-397B-A17B at 87.8, with Qwen3.5-397B-A17B ahead by 8.7 points; Google-Proof Q&A has o3 Mini at 79.7 and Qwen3.5-397B-A17B at 89.3, with Qwen3.5-397B-A17B ahead by 9.6 points. The largest visible gap is 9.6 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 multimodal input: Qwen3.5-397B-A17B, reasoning mode: o3 Mini, function calling: o3 Mini, tool use: o3 Mini, and code execution: o3 Mini. Both models share structured outputs, 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, o3 Mini lists $1.1/1M input and $4.4/1M output tokens, while Qwen3.5-397B-A17B lists $0.39/1M input and $2.34/1M output tokens on the cheapest tracked provider. A 70/30 input-output blend puts Qwen3.5-397B-A17B lower by about $1.11 per million blended tokens. Availability is 3 providers versus 1, so concentration risk also matters.
Choose o3 Mini when coding workflow support and broader provider choice are central to the workload. Choose Qwen3.5-397B-A17B when provider fit and lower input-token cost are more important. For production, rerun your own prompts through the exact provider, region, and tool stack you plan to ship.
FAQ
Which is cheaper, o3 Mini or Qwen3.5-397B-A17B?
Qwen3.5-397B-A17B is cheaper on tracked token pricing. o3 Mini costs $1.1/1M input and $4.4/1M output tokens. Qwen3.5-397B-A17B costs $0.39/1M input and $2.34/1M output tokens. Provider discounts or batch pricing can still change the final bill.
Is o3 Mini or Qwen3.5-397B-A17B open source?
o3 Mini is listed under Unknown. Qwen3.5-397B-A17B 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, o3 Mini or Qwen3.5-397B-A17B?
Qwen3.5-397B-A17B 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 reasoning mode, o3 Mini or Qwen3.5-397B-A17B?
o3 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, o3 Mini or Qwen3.5-397B-A17B?
o3 Mini 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.
Where can I run o3 Mini and Qwen3.5-397B-A17B?
o3 Mini is available on OpenRouter, OpenAI Batch API, and Azure OpenAI. Qwen3.5-397B-A17B is available on OpenRouter. Provider coverage can affect latency, region availability, compliance posture, and fallback options. Use this as a quick comparison signal, then confirm the provider-specific limits before committing to production.
Continue comparing
Last reviewed: 2026-04-24. Data sourced from public model cards and provider documentation.