GLM 4.7 vs Phi-4 Reasoning Vision 15B
GLM 4.7 (2026) and Phi-4 Reasoning Vision 15B (2026) are general-purpose language models from Tsinghua Knowledge Engineering Group (THUDM) and Microsoft Research. GLM 4.7 ships a 200K-token context window, while Phi-4 Reasoning Vision 15B ships a not-yet-sourced 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.
Phi-4 Reasoning Vision 15B is safer overall; choose GLM 4.7 when coding workflow support matters.
Decision scorecard
Local evidence first| Signal | GLM 4.7 | Phi-4 Reasoning Vision 15B |
|---|---|---|
| Decision fit | Coding, RAG, and Agents | Vision |
| Context window | 200K | — |
| Cheapest output | $2.2/1M tokens | - |
| Provider routes | 1 tracked | 0 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 has broader tracked provider coverage for fallback and procurement flexibility.
- 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 Reasoning Vision 15B uniquely exposes Multimodal in local model data.
- Local decision data tags Phi-4 Reasoning Vision 15B for Vision.
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 Reasoning Vision 15B
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 Reasoning Vision 15B; plan for SDK, billing, or endpoint changes.
- Check replacement coverage for Function calling, Tool use, and Structured outputs before moving production traffic.
- Phi-4 Reasoning Vision 15B adds Multimodal in local capability data.
- No overlapping tracked provider route is sourced for Phi-4 Reasoning Vision 15B and GLM 4.7; plan for SDK, billing, or endpoint changes.
- Check replacement coverage for Multimodal 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 | 2026-03-12 |
| Context window | 200K | — |
| Parameters | — | 15B |
| Architecture | decoder only | - |
| License | Proprietary | Microsoft Research |
| Knowledge cutoff | - | - |
Pricing and availability
| Pricing attribute | GLM 4.7 | Phi-4 Reasoning Vision 15B |
|---|---|---|
| Input price | $0.6/1M tokens | - |
| Output price | $2.2/1M tokens | - |
| Providers | - |
Capabilities
| Capability | GLM 4.7 | Phi-4 Reasoning Vision 15B |
|---|---|---|
| Vision | No | No |
| Multimodal | No | Yes |
| Reasoning | No | No |
| 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 multimodal input: Phi-4 Reasoning Vision 15B, 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 Reasoning Vision 15B has no token price sourced yet. Provider availability is 1 tracked routes versus 0. 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 broader provider choice are central to the workload. Choose Phi-4 Reasoning Vision 15B when provider fit 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
Is GLM 4.7 or Phi-4 Reasoning Vision 15B open source?
GLM 4.7 is listed under Proprietary. Phi-4 Reasoning Vision 15B is listed under Microsoft Research. 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, GLM 4.7 or Phi-4 Reasoning Vision 15B?
Phi-4 Reasoning Vision 15B 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 function calling, GLM 4.7 or Phi-4 Reasoning Vision 15B?
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 Reasoning Vision 15B?
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.
Which is better for structured outputs, GLM 4.7 or Phi-4 Reasoning Vision 15B?
GLM 4.7 has the clearer documented structured outputs signal in this comparison. If structured outputs 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 Reasoning Vision 15B?
GLM 4.7 is available on Fireworks AI. Phi-4 Reasoning Vision 15B 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: 2026-04-27. Data sourced from public model cards and provider documentation.