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GLM-5 9B vs Grok 4

GLM-5 9B (2026) and Grok 4 (2026) are frontier-tier reasoning models from Zhipu AI and xAI. GLM-5 9B ships a 262K-token context window, while Grok 4 ships a 256k-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 is safer overall; choose GLM-5 9B when long-context analysis matters.

Specs

Released2026-02-152026-03-01
Context window262K256k
Parameters9
Architecturedecoder onlydecoder only
LicenseOpen SourceProprietary
Knowledge cutoff--

Pricing and availability

GLM-5 9BGrok 4
Input price-$3/1M tokens
Output price-$15/1M tokens
Providers-

Capabilities

GLM-5 9BGrok 4
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 multimodal input: Grok 4, function calling: GLM-5 9B, tool use: GLM-5 9B, structured outputs: Grok 4, and code execution: Grok 4. Both models share reasoning mode, 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 9B has no token price sourced yet and Grok 4 has $3/1M input tokens. Provider availability is 0 tracked routes versus 3. Treat unknown pricing as an integration gap, then verify the route you will actually call before estimating production spend.

Choose GLM-5 9B when long-context analysis and larger context windows are central to the workload. Choose Grok 4 when coding workflow support 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.

FAQ

Which has a larger context window, GLM-5 9B or Grok 4?

GLM-5 9B supports 262K tokens, while Grok 4 supports 256k tokens. That gap matters most for long documents, large codebases, retrieval-heavy agents, and conversations where earlier context must remain visible.

Is GLM-5 9B or Grok 4 open source?

GLM-5 9B is listed under Open Source. Grok 4 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 multimodal input, GLM-5 9B or Grok 4?

Grok 4 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 9B or Grok 4?

Both GLM-5 9B and Grok 4 expose reasoning mode. The better choice depends on benchmark fit, context budget, pricing, and whether your provider route exposes the same capability surface. Use this as a quick comparison signal, then confirm the provider-specific limits before committing to production.

Which is better for function calling, GLM-5 9B or Grok 4?

GLM-5 9B 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 9B and Grok 4?

GLM-5 9B is available on the tracked providers still being sourced. Grok 4 is available on Microsoft Foundry, OpenRouter, and Replicate API. Provider coverage can affect latency, region availability, compliance posture, and fallback options.

Continue comparing

Last reviewed: 2026-04-24. Data sourced from public model cards and provider documentation.