LLM Reference

Claude Opus 4.5 vs GLM-5 Turbo

Claude Opus 4.5 (2025) and GLM-5 Turbo (2026) are frontier-tier reasoning models from Anthropic and Zhipu AI. Claude Opus 4.5 ships a 200k-token context window, while GLM-5 Turbo ships a 200k-token context window. On pricing, GLM-5 Turbo costs $1.20/1M input tokens versus $5/1M for the alternative. This comparison covers specs, pricing, API access, capabilities, benchmarks, input and output token costs, and production fit for coding and agent workloads.

GLM-5 Turbo is ~317% cheaper at $1.20/1M; pay for Claude Opus 4.5 only for coding workflow support.

Decision scorecard

Local evidence first
SignalClaude Opus 4.5GLM-5 Turbo
Best forreasoning-heavy apps, multimodal apps, and tool-calling agentsreasoning-heavy apps, tool-calling agents, and provider-routed production
Decision fitCoding, RAG, and AgentsRAG, Agents, and Long context
Context window200k200k
Cheapest output$25/1M tokens$4/1M tokens
Provider routes6 tracked2 tracked
Shared benchmarks0 rows0 rows

Decision tradeoffs

Choose Claude Opus 4.5 when...
  • Claude Opus 4.5 has broader tracked provider coverage for fallback and procurement flexibility.
  • Claude Opus 4.5 uniquely exposes Vision, Multimodal, and Code execution in local model data.
  • Local decision data tags Claude Opus 4.5 for Coding, RAG, and Agents.
Choose GLM-5 Turbo when...
  • GLM-5 Turbo has the lower cheapest tracked output price at $4/1M tokens.
  • Local decision data tags GLM-5 Turbo for RAG, Agents, and Long context.

Monthly cost at traffic

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

Lower estimate GLM-5 Turbo

Claude Opus 4.5

$10,250

Cheapest tracked route/tier: Microsoft Foundry

GLM-5 Turbo

$1,960

Cheapest tracked route/tier: OpenRouter

Estimated monthly gap: $8,290. Batch, cache, alternate speed tiers, and negotiated pricing are excluded from this local estimate.

Switch friction

Claude Opus 4.5 -> GLM-5 Turbo
  • Provider overlap exists on OpenRouter and Vercel AI Gateway; start route-level A/B tests there.
  • GLM-5 Turbo is $21/1M tokens lower on cheapest tracked output pricing before cache, batch, or negotiated discounts.
  • Check replacement coverage for Vision, Multimodal, and Code execution before moving production traffic.
GLM-5 Turbo -> Claude Opus 4.5
  • Provider overlap exists on OpenRouter and Vercel AI Gateway; start route-level A/B tests there.
  • Claude Opus 4.5 is $21/1M tokens higher on cheapest tracked output pricing, so quality gains need to justify the spend.
  • Claude Opus 4.5 adds Vision, Multimodal, and Code execution in local capability data.

Specs

Specification
Released2025-11-012026-03-01
Context window200k200k
Parameters744B total, 40B active
Architecturedecoder onlymixture of experts
LicenseProprietaryMIT(OSI)
OpennessProprietaryOpen source
Commercial useCommercial use with conditionsCommercial use allowed
Knowledge cutoff2025-122025-11

Pricing and availability

Pricing attributeClaude Opus 4.5GLM-5 Turbo
Input price$5/1M tokens$1.20/1M tokens
Output price$25/1M tokens$4/1M tokens
Providers

Capabilities

CapabilityClaude Opus 4.5GLM-5 Turbo
VisionYesNo
MultimodalYesNo
ReasoningYesYes
Function callingYesYes
Tool useYesYes
Structured outputsYesYes
Code executionYesNo
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: Claude Opus 4.5, multimodal input: Claude Opus 4.5, and code execution: Claude Opus 4.5. 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.

For cost, Claude Opus 4.5 lists $5/1M input and $25/1M output tokens on the cheapest tracked provider, while GLM-5 Turbo lists $1.20/1M input and $4/1M output tokens on the cheapest tracked provider. A 70/30 input-output blend puts GLM-5 Turbo lower by about $8.96 per million blended tokens. Availability is 6 providers versus 2, so concentration risk also matters.

Choose Claude Opus 4.5 when coding workflow support and broader provider choice are central to the workload. Choose GLM-5 Turbo 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.

FAQ

Which has a larger context window, Claude Opus 4.5 or GLM-5 Turbo?

Claude Opus 4.5 supports 200k 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.

Which is cheaper, Claude Opus 4.5 or GLM-5 Turbo?

GLM-5 Turbo is cheaper on tracked token pricing. Claude Opus 4.5 costs $5/1M input and $25/1M output tokens. GLM-5 Turbo costs $1.20/1M input and $4/1M output tokens. Provider discounts or batch pricing can still change the final bill.

Is Claude Opus 4.5 or GLM-5 Turbo open source?

Claude Opus 4.5 is listed under Proprietary. GLM-5 Turbo 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 vision, Claude Opus 4.5 or GLM-5 Turbo?

Claude Opus 4.5 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, Claude Opus 4.5 or GLM-5 Turbo?

Claude Opus 4.5 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.

Where can I run Claude Opus 4.5 and GLM-5 Turbo?

Claude Opus 4.5 is available on Microsoft Foundry, Anthropic, GCP Vertex AI, AWS Bedrock, and OpenRouter. GLM-5 Turbo is available on OpenRouter and Vercel AI Gateway. Provider coverage can affect latency, region availability, compliance posture, and fallback options.

Continue comparing

Last reviewed: 2026-05-22. Data sourced from public model cards and provider documentation.