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GLM-5 Turbo vs Grok 4.3 Beta

GLM-5 Turbo (2026) and Grok 4.3 Beta (2026) are frontier-tier reasoning models from Zhipu AI and xAI. GLM-5 Turbo ships a 200k-token context window, while Grok 4.3 Beta ships a 2M-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. The goal is to make the tradeoff clear before deeper testing.

Grok 4.3 Beta fits 10x more tokens; pick it for long-context work and GLM-5 Turbo for tighter calls.

Specs

Released2026-03-012026-04-17
Context window200k2M
Parameters744B total, 40B active~0.5T
Architecturemixture of experts-
LicenseProprietaryProprietary
Knowledge cutoff--

Pricing and availability

GLM-5 TurboGrok 4.3 Beta
Input price$1.2/1M tokens-
Output price$4/1M tokens-
Providers-

Capabilities

GLM-5 TurboGrok 4.3 Beta
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 vision: Grok 4.3 Beta and multimodal input: Grok 4.3 Beta. Both models share reasoning mode, function calling, tool use, and structured outputs, 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-5 Turbo has $1.2/1M input tokens and Grok 4.3 Beta 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-5 Turbo when provider fit and broader provider choice are central to the workload. Choose Grok 4.3 Beta when long-context analysis and larger context windows 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 Grok 4.3 Beta?

Grok 4.3 Beta supports 2M tokens, while GLM-5 Turbo supports 200k tokens. That gap matters most for long documents, large codebases, retrieval-heavy agents, and conversations where earlier context must remain visible.

Is GLM-5 Turbo or Grok 4.3 Beta open source?

GLM-5 Turbo is listed under Proprietary. Grok 4.3 Beta 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, GLM-5 Turbo or Grok 4.3 Beta?

Grok 4.3 Beta 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.

Which is better for multimodal input, GLM-5 Turbo or Grok 4.3 Beta?

Grok 4.3 Beta 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, GLM-5 Turbo or Grok 4.3 Beta?

Both GLM-5 Turbo and Grok 4.3 Beta expose reasoning mode. The better choice depends on benchmark fit, context budget, pricing, and whether your provider route exposes the same capability surface.

Where can I run GLM-5 Turbo and Grok 4.3 Beta?

GLM-5 Turbo is available on OpenRouter. Grok 4.3 Beta 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: 2026-04-25. Data sourced from public model cards and provider documentation.