LLM Reference

GLM-5 vs GPT-5.5

GLM-5 (2026) and GPT-5.5 (2026) are frontier-tier reasoning models from Zhipu AI and OpenAI. GLM-5 ships a 200k-token context window, while GPT-5.5 ships a 1.05m-token context window. On MMLU PRO, GPT-5.5 leads by 2.1 pts. On pricing, GLM-5 costs $0.60/1M input tokens; GPT-5.5 ranges from $5 to $8/1M input tokens by tier. This comparison covers specs, pricing, API access, capabilities, benchmarks, input and output token costs, and production fit for coding and agent workloads.

GPT-5.5 fits 5x more tokens; pick it for long-context work and GLM-5 for tighter calls.

Decision scorecard

Local evidence first
SignalGLM-5GPT-5.5
Best forreasoning-heavy apps, tool-calling agents, and provider-routed productionreasoning-heavy apps, multimodal apps, and tool-calling agents
Decision fitCoding, RAG, and AgentsCoding, RAG, and Agents
Context window200k1.05m
Cheapest output$2.08/1M tokens$30/1M tokens
Provider routes7 tracked4 tracked
Shared benchmarks6 sharedMMLU PRO leader

Decision tradeoffs

Choose GLM-5 when...
  • GLM-5 holds a shared-benchmark lead on AIME 2025, ahead by 11.5 points.
  • GLM-5 has the lower cheapest tracked output price at $2.08/1M tokens.
  • GLM-5 has broader tracked provider coverage for fallback and route flexibility.
  • Local decision data tags GLM-5 for Coding, RAG, and Agents.
Choose GPT-5.5 when...
  • GPT-5.5 holds a shared-benchmark lead on MMLU PRO, ahead by 2.1 points.
  • GPT-5.5 has the larger context window for long prompts, retrieval packs, or transcript analysis.
  • GPT-5.5 uniquely exposes Vision, Multimodal, and Code execution in local model data.
  • Local decision data tags GPT-5.5 for Coding, RAG, and Agents.

Monthly cost at traffic

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

Lower estimate GLM-5

GLM-5

$1,000

Cheapest tracked route/tier: OpenRouter

GPT-5.5

$11,500

Cheapest tracked route/tier: OpenAI API 0-272K input tokens

Estimated monthly gap: $10,500. Batch, cache, alternate speed tiers, and negotiated pricing are excluded from this local estimate.

Switch friction

GLM-5 -> GPT-5.5
  • Provider overlap exists on OpenRouter and Vercel AI Gateway; start route-level A/B tests there.
  • GPT-5.5 is $27.92/1M tokens higher on cheapest tracked output pricing, so quality gains need to justify the spend.
  • GPT-5.5 adds Vision, Multimodal, and Code execution in local capability data.
GPT-5.5 -> GLM-5
  • Provider overlap exists on OpenRouter and Vercel AI Gateway; start route-level A/B tests there.
  • GLM-5 is $27.92/1M 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.

Specs

Specification
Released2026-02-112026-04-23
Context window200k1.05m
Parameters744B total, 40B active—
ArchitectureMixture of ExpertsDecoder Only
LicenseMITOSI-approvedProprietary
OpennessOpen sourceProprietary
WeightsAvailableNot released
CodeUnknownUnknown
Commercial useCommercial use: permittedCommercial use: conditional
Knowledge cutoff2025-112025-12

Pricing and availability

Pricing attributeGLM-5GPT-5.5
Input price$0.60/1M tokens
0-272K input tokens
$5/1M tokens
Standard GPT-5.5 token pricing before the long-context surcharge threshold.
272K+ input tokens
$8/1M tokens
Long-context surcharge applies above 272K input tokens for the full session.
Output price$2.08/1M tokens
0-272K input tokens
$30/1M tokens
Standard GPT-5.5 token pricing before the long-context surcharge threshold.
272K+ input tokens
$36/1M tokens
Long-context surcharge applies above 272K input tokens for the full session.
Providers
Fireworks AIOpenRouterTogether AIGCP Vertex AINVIDIA NIMVercel AI Gateway
OpenAI APIOpenRouterVercel AI GatewayAWS Bedrock

Capabilities

CapabilityGLM-5GPT-5.5
VisionNoYes
MultimodalNoYes
ReasoningYesYes
JSON / Tool useYesYes
Structured outputsYesYes
Code executionNoYes
IDE integrationNoNo
Computer useNoNo
Parallel agentsNoNo

Benchmarks

BenchmarkGLM-5GPT-5.5
MMLU PRO86.088.1
SWE-bench Verified77.882.6
SWE-bench Pro55.158.6
Google-Proof Q&A86.093.6
AIME 202592.781.2
Humanity's Last Exam30.541.4

Continue comparing

Model pages
Labs and families
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Last reviewed: 2026-06-30. Data sourced from public model cards and provider documentation.