GLM-5 Turbo vs Phi 3.5 MoE Instruct
GLM-5 Turbo (2026) and Phi 3.5 MoE Instruct (2024) are frontier reasoning models from Zhipu AI and Microsoft Research. GLM-5 Turbo ships a 200k-token context window, while Phi 3.5 MoE Instruct ships a 128K-token context window. On pricing, Phi 3.5 MoE Instruct costs $0.5/1M input tokens versus $1.2/1M for the alternative. This comparison covers specs, pricing, capabilities, benchmarks, provider availability, and production fit.
Phi 3.5 MoE Instruct is ~140% cheaper at $0.5/1M; pay for GLM-5 Turbo only for reasoning depth.
Specs
| Released | 2026-03-01 | 2024-08-20 |
| Context window | 200k | 128K |
| Parameters | 744B total, 40B active | 16x3.8B (42B, 6.6B active) |
| Architecture | mixture of experts | decoder only |
| License | Proprietary | MIT |
| Knowledge cutoff | - | - |
Pricing and availability
| GLM-5 Turbo | Phi 3.5 MoE Instruct | |
|---|---|---|
| Input price | $1.2/1M tokens | $0.5/1M tokens |
| Output price | $4/1M tokens | $0.5/1M tokens |
| Providers |
Capabilities
| GLM-5 Turbo | Phi 3.5 MoE Instruct | |
|---|---|---|
| Vision | ||
| Multimodal | ||
| Reasoning | ||
| Function calling | ||
| Tool use | ||
| Structured outputs | ||
| Code execution |
Benchmarks
No shared benchmark rows are currently sourced for this pair.
Deep dive
The capability footprint differs most on reasoning mode: GLM-5 Turbo, function calling: GLM-5 Turbo, tool use: GLM-5 Turbo, and structured outputs: GLM-5 Turbo. 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.
For cost, GLM-5 Turbo lists $1.2/1M input and $4/1M output tokens, while Phi 3.5 MoE Instruct lists $0.5/1M input and $0.5/1M output tokens on the cheapest tracked provider. A 70/30 input-output blend puts Phi 3.5 MoE Instruct lower by about $1.54 per million blended tokens. Availability is 1 providers versus 1, so concentration risk also matters.
Choose GLM-5 Turbo when reasoning depth and larger context windows are central to the workload. Choose Phi 3.5 MoE Instruct 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. 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-5 Turbo or Phi 3.5 MoE Instruct?
GLM-5 Turbo supports 200k tokens, while Phi 3.5 MoE Instruct supports 128K tokens. That gap matters most for long documents, large codebases, retrieval-heavy agents, and conversations where earlier context must remain visible.
Which is cheaper, GLM-5 Turbo or Phi 3.5 MoE Instruct?
Phi 3.5 MoE Instruct is cheaper on tracked token pricing. GLM-5 Turbo costs $1.2/1M input and $4/1M output tokens. Phi 3.5 MoE Instruct costs $0.5/1M input and $0.5/1M output tokens. Provider discounts or batch pricing can still change the final bill.
Is GLM-5 Turbo or Phi 3.5 MoE Instruct open source?
GLM-5 Turbo is listed under Proprietary. Phi 3.5 MoE Instruct 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, GLM-5 Turbo or Phi 3.5 MoE Instruct?
GLM-5 Turbo 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-5 Turbo or Phi 3.5 MoE Instruct?
GLM-5 Turbo 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 GLM-5 Turbo and Phi 3.5 MoE Instruct?
GLM-5 Turbo is available on OpenRouter. Phi 3.5 MoE Instruct is available on Fireworks AI. 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.
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Last reviewed: 2026-04-24. Data sourced from public model cards and provider documentation.