LLM Reference

GLM-5 9B vs LFM2-24B-A2B

GLM-5 9B (2026) and LFM2-24B-A2B (2025) are frontier reasoning models from Zhipu AI and Liquid AI. GLM-5 9B ships a 262k-token context window, while LFM2-24B-A2B ships a 32k-token context window. This comparison covers specs, pricing, API access, capabilities, benchmarks, input and output token costs, and production fit for coding and agent workloads. It focuses on practical selection signals rather than broad model-family marketing.

GLM-5 9B fits 8x more tokens; pick it for long-context work and LFM2-24B-A2B for tighter calls.

Decision scorecard

Local evidence first
SignalGLM-5 9BLFM2-24B-A2B
Best forreasoning-heavy apps and tool-calling agentstool-calling agents
Decision fitRAG, Agents, and Long contextAgents, Classification, and JSON / Tool use
Context window262k32k
Cheapest output-$0.12/1M tokens
Provider routes0 tracked1 tracked
Shared benchmarks0 rows0 rows

Decision tradeoffs

Choose GLM-5 9B when...
  • GLM-5 9B has the larger context window for long prompts, retrieval packs, or transcript analysis.
  • GLM-5 9B uniquely exposes Reasoning in local model data.
  • Local decision data tags GLM-5 9B for RAG, Agents, and Long context.
Choose LFM2-24B-A2B when...
  • LFM2-24B-A2B has broader tracked provider coverage for fallback and procurement flexibility.
  • LFM2-24B-A2B uniquely exposes Structured outputs in local model data.
  • Local decision data tags LFM2-24B-A2B for Agents, Classification, and JSON / Tool use.

Monthly cost at traffic

Estimate token spend from the cheapest tracked input and output route or tier on this page.

GLM-5 9B

Unavailable

No complete token price in local provider data

LFM2-24B-A2B

$54.00

Cheapest tracked route/tier: OpenRouter

Cost delta unavailable until both models have sourced input and output token prices.

Switch friction

GLM-5 9B -> LFM2-24B-A2B
  • No overlapping tracked provider route is sourced for GLM-5 9B and LFM2-24B-A2B; plan for SDK, billing, or endpoint changes.
  • Check replacement coverage for Reasoning before moving production traffic.
  • LFM2-24B-A2B adds Structured outputs in local capability data.
LFM2-24B-A2B -> GLM-5 9B
  • No overlapping tracked provider route is sourced for LFM2-24B-A2B and GLM-5 9B; plan for SDK, billing, or endpoint changes.
  • Check replacement coverage for Structured outputs before moving production traffic.
  • GLM-5 9B adds Reasoning in local capability data.

Specs

Specification
Released2026-02-152025-11-01
Context window262k32k
Parameters924B
Architecturedecoder onlymoe
LicenseOpen WeightsProprietary
Knowledge cutoff2025-11-

Pricing and availability

Pricing attributeGLM-5 9BLFM2-24B-A2B
Input price-$0.03/1M tokens
Output price-$0.12/1M tokens
Providers-

Capabilities

CapabilityGLM-5 9BLFM2-24B-A2B
VisionNoNo
MultimodalNoNo
ReasoningYesNo
Function callingYesYes
Tool useYesYes
Structured outputsNoYes
Code executionNoNo
IDE integrationNoNo
Computer useNoNo
Parallel agentsNoNo

Benchmarks

No shared benchmark rows are currently sourced for this pair.

Deep dive

The capability footprint differs most on reasoning mode: GLM-5 9B and structured outputs: LFM2-24B-A2B. Both models share function calling and tool use, 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 LFM2-24B-A2B has $0.03/1M input tokens. Provider availability is 0 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-5 9B when reasoning depth and larger context windows are central to the workload. Choose LFM2-24B-A2B when provider fit 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. For teams standardizing a stack, that distinction is often the difference between a benchmark win and a reliable deployment.

FAQ

Which has a larger context window, GLM-5 9B or LFM2-24B-A2B?

GLM-5 9B supports 262k tokens, while LFM2-24B-A2B supports 32k tokens. That gap matters most for long documents, large codebases, retrieval-heavy agents, and conversations where earlier context must remain visible. Use this as a quick comparison signal, then confirm the provider-specific limits before committing to production.

Is GLM-5 9B or LFM2-24B-A2B open source?

GLM-5 9B is listed under Open Weights. LFM2-24B-A2B 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 reasoning mode, GLM-5 9B or LFM2-24B-A2B?

GLM-5 9B 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 9B or LFM2-24B-A2B?

Both GLM-5 9B and LFM2-24B-A2B expose function calling. 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 tool use, GLM-5 9B or LFM2-24B-A2B?

Both GLM-5 9B and LFM2-24B-A2B expose tool use. 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.

Where can I run GLM-5 9B and LFM2-24B-A2B?

GLM-5 9B is available on the tracked providers still being sourced. LFM2-24B-A2B is available on OpenRouter. 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: 2026-05-19. Data sourced from public model cards and provider documentation.