GLM 4.7 vs Phi-4 Mini Flash Reasoning
GLM 4.7 (2026) and Phi-4 Mini Flash Reasoning (2025) are frontier reasoning models from Tsinghua Knowledge Engineering Group (THUDM) and Microsoft Research. GLM 4.7 ships a 200K-token context window, while Phi-4 Mini Flash Reasoning ships a 128K-token context window. This comparison covers specs, pricing, capabilities, benchmarks, provider availability, and production fit. It focuses on practical selection signals rather than broad model-family marketing.
GLM 4.7 is safer overall; choose Phi-4 Mini Flash Reasoning when reasoning depth matters.
Decision scorecard
Local evidence first| Signal | GLM 4.7 | Phi-4 Mini Flash Reasoning |
|---|---|---|
| Decision fit | Coding, RAG, and Agents | Long context |
| Context window | 200K | 128K |
| Cheapest output | $2.2/1M tokens | - |
| Provider routes | 1 tracked | 1 tracked |
| Shared benchmarks | 0 rows | 0 rows |
Decision tradeoffs
- GLM 4.7 has the larger context window for long prompts, retrieval packs, or transcript analysis.
- GLM 4.7 uniquely exposes Function calling, Tool use, and Structured outputs in local model data.
- Local decision data tags GLM 4.7 for Coding, RAG, and Agents.
- 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 prices on this page.
GLM 4.7
$1,030
Cheapest tracked route: Fireworks AI
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 GLM 4.7 and Phi-4 Mini Flash Reasoning; plan for SDK, billing, or endpoint changes.
- Check replacement coverage for Function calling, Tool use, and Structured outputs before moving production traffic.
- 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 GLM 4.7; plan for SDK, billing, or endpoint changes.
- Check replacement coverage for Reasoning before moving production traffic.
- GLM 4.7 adds Function calling, Tool use, and Structured outputs in local capability data.
Specs
| Specification | ||
|---|---|---|
| Released | 2026-03-01 | 2025-12-01 |
| Context window | 200K | 128K |
| Parameters | — | — |
| Architecture | decoder only | decoder only |
| License | Proprietary | 1 |
| Knowledge cutoff | - | - |
Pricing and availability
| Pricing attribute | GLM 4.7 | Phi-4 Mini Flash Reasoning |
|---|---|---|
| Input price | $0.6/1M tokens | - |
| Output price | $2.2/1M tokens | - |
| Providers |
Capabilities
| Capability | GLM 4.7 | Phi-4 Mini Flash Reasoning |
|---|---|---|
| Vision | No | No |
| Multimodal | No | No |
| Reasoning | No | Yes |
| Function calling | Yes | No |
| Tool use | Yes | No |
| Structured outputs | Yes | No |
| Code execution | Yes | No |
Benchmarks
No shared benchmark rows are currently sourced for this pair.
Deep dive
The capability footprint differs most on reasoning mode: Phi-4 Mini Flash Reasoning, function calling: GLM 4.7, tool use: GLM 4.7, structured outputs: GLM 4.7, and code execution: GLM 4.7. 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: GLM 4.7 has $0.6/1M input tokens and Phi-4 Mini Flash Reasoning has no token price sourced yet. Provider availability is 1 tracked routes versus 1. Treat unknown pricing as an integration gap, then verify the route you will actually call before estimating production spend.
Choose GLM 4.7 when coding workflow support and larger context windows are central to the workload. Choose Phi-4 Mini Flash Reasoning when reasoning depth 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.
FAQ
Which has a larger context window, GLM 4.7 or Phi-4 Mini Flash Reasoning?
GLM 4.7 supports 200K tokens, while Phi-4 Mini Flash Reasoning supports 128K tokens. That gap matters most for long documents, large codebases, retrieval-heavy agents, and conversations where earlier context must remain visible.
Is GLM 4.7 or Phi-4 Mini Flash Reasoning open source?
GLM 4.7 is listed under Proprietary. Phi-4 Mini Flash Reasoning is listed under 1. 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, GLM 4.7 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.
Which is better for function calling, GLM 4.7 or Phi-4 Mini Flash Reasoning?
GLM 4.7 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.
Which is better for tool use, GLM 4.7 or Phi-4 Mini Flash Reasoning?
GLM 4.7 has the clearer documented tool use signal in this comparison. If tool use is mission-critical, validate it against the provider endpoint because model-level support and API-level exposure can differ.
Where can I run GLM 4.7 and Phi-4 Mini Flash Reasoning?
GLM 4.7 is available on Fireworks AI. Phi-4 Mini Flash Reasoning is available on NVIDIA NIM. 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: 2026-05-01. Data sourced from public model cards and provider documentation.