Aquila 2 34B vs Phi-4 Mini Flash Reasoning
Aquila 2 34B (2023) and Phi-4 Mini Flash Reasoning (2025) are frontier reasoning models from Beijing Academy of Artificial Intelligence (BAAI) and Microsoft Research. Aquila 2 34B ships a 2k-token context window, while Phi-4 Mini Flash Reasoning ships a 128k-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.
Phi-4 Mini Flash Reasoning fits 64x more tokens; pick it for long-context work and Aquila 2 34B for tighter calls.
Decision scorecard
Local evidence first| Signal | Aquila 2 34B | Phi-4 Mini Flash Reasoning |
|---|---|---|
| Best for | general production evaluation | reasoning-heavy apps |
| Decision fit | General | Long context |
| Context window | 2k | 128k |
| Cheapest output | - | - |
| Provider routes | 0 tracked | 1 tracked |
| Shared benchmarks | 0 shared | 0 shared |
Decision tradeoffs
- Use Aquila 2 34B when your own prompt tests beat the comparison signals; the local data does not show a decisive standalone advantage yet.
- Phi-4 Mini Flash Reasoning has the larger context window for long prompts, retrieval packs, or transcript analysis.
- Phi-4 Mini Flash Reasoning has broader tracked provider coverage for fallback and procurement flexibility.
- Phi-4 Mini Flash Reasoning uniquely exposes Reasoning in local model data.
- Local decision data tags Phi-4 Mini Flash Reasoning for Long context.
Monthly cost at traffic
Estimate token spend from the cheapest tracked input and output route or tier on this page.
Aquila 2 34B
Unavailable
No complete token price in local provider data
Phi-4 Mini Flash Reasoning
Unavailable
No complete token price in local provider data
Cost delta unavailable until both models have sourced input and output token prices.
Switch friction
- No overlapping tracked provider route is sourced for Aquila 2 34B and Phi-4 Mini Flash Reasoning; plan for SDK, billing, or endpoint changes.
- Phi-4 Mini Flash Reasoning adds Reasoning in local capability data.
- No overlapping tracked provider route is sourced for Phi-4 Mini Flash Reasoning and Aquila 2 34B; plan for SDK, billing, or endpoint changes.
- Check replacement coverage for Reasoning before moving production traffic.
Specs
| Specification | ||
|---|---|---|
| Released | 2023-11-02 | 2025-12-01 |
| Context window | 2k | 128k |
| Parameters | 34B | 3.8B |
| Architecture | Decoder Only | Decoder Only |
| License | Proprietary | MITOSI-approved |
| Openness | Proprietary | Open source |
| Commercial use | Commercial use: conditional | Commercial use: permitted |
| Knowledge cutoff | - | 2025-02 |
Pricing and availability
| Pricing attribute | Aquila 2 34B | Phi-4 Mini Flash Reasoning |
|---|---|---|
| Input price | - | - |
| Output price | - | - |
| Providers | - |
Pricing not yet sourced for either model.
Capabilities
| Capability | Aquila 2 34B | Phi-4 Mini Flash Reasoning |
|---|---|---|
| Vision | No | No |
| Multimodal | No | No |
| Reasoning | No | Yes |
| 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 scores are currently available for this pair.
Deep dive
The capability footprint differs most on reasoning mode: Phi-4 Mini Flash 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: Aquila 2 34B has no token price sourced yet and Phi-4 Mini Flash Reasoning has no token price sourced yet. 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 Aquila 2 34B when provider fit are central to the workload. Choose Phi-4 Mini Flash Reasoning when reasoning depth, larger context windows, 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, Aquila 2 34B or Phi-4 Mini Flash Reasoning?
Phi-4 Mini Flash Reasoning supports 128k tokens, while Aquila 2 34B supports 2k tokens. That gap matters most for long documents, large codebases, retrieval-heavy agents, and conversations where earlier context must remain visible.
Is Aquila 2 34B or Phi-4 Mini Flash Reasoning open source?
Aquila 2 34B is listed under Proprietary. Phi-4 Mini Flash Reasoning is listed under MIT. 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 reasoning mode, Aquila 2 34B or Phi-4 Mini Flash Reasoning?
Phi-4 Mini Flash 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 Aquila 2 34B and Phi-4 Mini Flash Reasoning?
Aquila 2 34B is available on the tracked providers still being sourced. Phi-4 Mini Flash Reasoning is available on NVIDIA NIM. Provider coverage can affect latency, region availability, compliance posture, and fallback options.
When should I pick Aquila 2 34B over Phi-4 Mini Flash Reasoning?
Phi-4 Mini Flash Reasoning fits 64x more tokens; pick it for long-context work and Aquila 2 34B for tighter calls. If your workload also depends on provider fit, start with Aquila 2 34B; if it depends on reasoning depth, run the same evaluation with Phi-4 Mini Flash Reasoning.
Continue comparing
Last reviewed: 2026-05-22. Data sourced from public model cards and provider documentation.