Phi-4 Mini Reasoning vs Qianfan-OCR-Fast
Phi-4 Mini Reasoning (2026) and Qianfan-OCR-Fast (2026) are frontier reasoning models from Microsoft Research and Baidu AI. Phi-4 Mini Reasoning ships a 128k-token context window, while Qianfan-OCR-Fast ships a 66k-token context window. This comparison covers specs, pricing, API access, capabilities, benchmarks, input and output token costs, and production fit for coding and agent workloads. It focuses on practical selection signals rather than broad model-family marketing.
Phi-4 Mini Reasoning is safer overall; choose Qianfan-OCR-Fast when vision-heavy evaluation matters.
Decision scorecard
Local evidence first| Signal | Phi-4 Mini Reasoning | Qianfan-OCR-Fast |
|---|---|---|
| Best for | reasoning-heavy apps | multimodal apps |
| Decision fit | Long context | Vision |
| Context window | 128k | 66k |
| Cheapest output | - | $2.81/1M tokens |
| Provider routes | 0 tracked | 1 tracked |
| Shared benchmarks | 0 rows | 0 rows |
Decision tradeoffs
- Phi-4 Mini Reasoning has the larger context window for long prompts, retrieval packs, or transcript analysis.
- Phi-4 Mini Reasoning uniquely exposes Reasoning in local model data.
- Local decision data tags Phi-4 Mini Reasoning for Long context.
- Qianfan-OCR-Fast has broader tracked provider coverage for fallback and procurement flexibility.
- Qianfan-OCR-Fast uniquely exposes Vision and Multimodal in local model data.
- Local decision data tags Qianfan-OCR-Fast for Vision.
Monthly cost at traffic
Estimate token spend from the cheapest tracked input and output route or tier on this page.
Phi-4 Mini Reasoning
Unavailable
No complete token price in local provider data
Qianfan-OCR-Fast
$1,247
Cheapest tracked route/tier: OpenRouter
Cost delta unavailable until both models have sourced input and output token prices.
Switch friction
- No overlapping tracked provider route is sourced for Phi-4 Mini Reasoning and Qianfan-OCR-Fast; plan for SDK, billing, or endpoint changes.
- Check replacement coverage for Reasoning before moving production traffic.
- Qianfan-OCR-Fast adds Vision and Multimodal in local capability data.
- No overlapping tracked provider route is sourced for Qianfan-OCR-Fast and Phi-4 Mini Reasoning; plan for SDK, billing, or endpoint changes.
- Check replacement coverage for Vision and Multimodal before moving production traffic.
- Phi-4 Mini Reasoning adds Reasoning in local capability data.
Specs
| Specification | ||
|---|---|---|
| Released | 2026-05-16 | 2026-04-20 |
| Context window | 128k | 66k |
| Parameters | 3.8B | — |
| Architecture | - | decoder only |
| License | MIT | Proprietary |
| Knowledge cutoff | 2025-02 | - |
Pricing and availability
| Pricing attribute | Phi-4 Mini Reasoning | Qianfan-OCR-Fast |
|---|---|---|
| Input price | - | $0.68/1M tokens |
| Output price | - | $2.81/1M tokens |
| Providers | - |
Capabilities
| Capability | Phi-4 Mini Reasoning | Qianfan-OCR-Fast |
|---|---|---|
| Vision | No | Yes |
| Multimodal | No | Yes |
| Reasoning | Yes | No |
| Function calling | No | No |
| Tool use | No | No |
| Structured outputs | No | No |
| Code execution | No | No |
| IDE integration | No | No |
| Computer use | No | No |
| Parallel agents | No | No |
Benchmarks
No shared benchmark rows are currently sourced for this pair.
Deep dive
The capability footprint differs most on vision: Qianfan-OCR-Fast, multimodal input: Qianfan-OCR-Fast, and reasoning mode: Phi-4 Mini Reasoning. 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-4 Mini Reasoning has no token price sourced yet and Qianfan-OCR-Fast has $0.68/1M input tokens. Provider availability is 0 tracked routes versus 1. Treat unknown pricing as an integration gap, then verify the route you will actually call before estimating production spend.
Choose Phi-4 Mini Reasoning when reasoning depth and larger context windows are central to the workload. Choose Qianfan-OCR-Fast when vision-heavy evaluation and broader provider choice 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-4 Mini Reasoning or Qianfan-OCR-Fast?
Phi-4 Mini Reasoning supports 128k tokens, while Qianfan-OCR-Fast supports 66k tokens. That gap matters most for long documents, large codebases, retrieval-heavy agents, and conversations where earlier context must remain visible.
Is Phi-4 Mini Reasoning or Qianfan-OCR-Fast open source?
Phi-4 Mini Reasoning is listed under MIT. Qianfan-OCR-Fast is listed under Proprietary. 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-4 Mini Reasoning or Qianfan-OCR-Fast?
Qianfan-OCR-Fast 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-4 Mini Reasoning or Qianfan-OCR-Fast?
Qianfan-OCR-Fast 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, Phi-4 Mini Reasoning or Qianfan-OCR-Fast?
Phi-4 Mini Reasoning 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.
Where can I run Phi-4 Mini Reasoning and Qianfan-OCR-Fast?
Phi-4 Mini Reasoning is available on the tracked providers still being sourced. Qianfan-OCR-Fast 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: 2026-05-22. Data sourced from public model cards and provider documentation.