LLM Reference

GLM-5 9B vs Qianfan-OCR-Fast

GLM-5 9B (2026) and Qianfan-OCR-Fast (2026) are frontier reasoning models from Zhipu AI and Baidu AI. GLM-5 9B ships a 262k-token context window, while Qianfan-OCR-Fast ships a 66k-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 4x more tokens; pick it for long-context work and Qianfan-OCR-Fast for tighter calls.

Decision scorecard

Local evidence first
SignalGLM-5 9BQianfan-OCR-Fast
Best forreasoning-heavy apps and tool-calling agentsmultimodal apps
Decision fitRAG, Agents, and Long contextVision
Context window262k66k
Cheapest output-$2.81/1M 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, Function calling, and Tool use in local model data.
  • Local decision data tags GLM-5 9B for RAG, Agents, and Long context.
Choose Qianfan-OCR-Fast when...
  • Qianfan-OCR-Fast has broader tracked provider coverage for fallback and procurement flexibility.
  • Qianfan-OCR-Fast uniquely exposes Vision and Multimodal in local model data.
  • Local decision data tags Qianfan-OCR-Fast for Vision.

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

Qianfan-OCR-Fast

$1,247

Cheapest tracked route/tier: OpenRouter

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

Switch friction

GLM-5 9B -> Qianfan-OCR-Fast
  • No overlapping tracked provider route is sourced for GLM-5 9B and Qianfan-OCR-Fast; plan for SDK, billing, or endpoint changes.
  • Check replacement coverage for Reasoning, Function calling, and Tool use before moving production traffic.
  • Qianfan-OCR-Fast adds Vision and Multimodal in local capability data.
Qianfan-OCR-Fast -> GLM-5 9B
  • No overlapping tracked provider route is sourced for Qianfan-OCR-Fast and GLM-5 9B; plan for SDK, billing, or endpoint changes.
  • Check replacement coverage for Vision and Multimodal before moving production traffic.
  • GLM-5 9B adds Reasoning, Function calling, and Tool use in local capability data.

Specs

Specification
Released2026-02-152026-04-20
Context window262k66k
Parameters9
Architecturedecoder onlydecoder only
LicenseMITProprietary
Knowledge cutoff2025-11-

Pricing and availability

Pricing attributeGLM-5 9BQianfan-OCR-Fast
Input price-$0.68/1M tokens
Output price-$2.81/1M tokens
Providers-

Capabilities

CapabilityGLM-5 9BQianfan-OCR-Fast
VisionNoYes
MultimodalNoYes
ReasoningYesNo
Function callingYesNo
Tool useYesNo
Structured outputsNoNo
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 vision: Qianfan-OCR-Fast, multimodal input: Qianfan-OCR-Fast, reasoning mode: GLM-5 9B, function calling: GLM-5 9B, and tool use: GLM-5 9B. 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-5 9B has no token price sourced yet and Qianfan-OCR-Fast has $0.68/1M 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 Qianfan-OCR-Fast when vision-heavy evaluation 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 Qianfan-OCR-Fast?

GLM-5 9B supports 262k tokens, while Qianfan-OCR-Fast supports 66k 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 Qianfan-OCR-Fast open source?

GLM-5 9B is listed under MIT. Qianfan-OCR-Fast 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 9B or Qianfan-OCR-Fast?

Qianfan-OCR-Fast 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. Use this as a quick comparison signal, then confirm the provider-specific limits before committing to production.

Which is better for multimodal input, GLM-5 9B or Qianfan-OCR-Fast?

Qianfan-OCR-Fast 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 Qianfan-OCR-Fast?

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.

Where can I run GLM-5 9B and Qianfan-OCR-Fast?

GLM-5 9B is available on the tracked providers still being sourced. Qianfan-OCR-Fast 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: 2026-05-18. Data sourced from public model cards and provider documentation.