GLM-5.1 vs GPT-5.1

Benchmarks, API pricing and specs, head to head. Data updated 2026-06-10.

GLM-5.1

Z.ai (Zhipu) · Apr 2026

The April 2026 GLM refresh — the first open-weights model to take #1 on SWE-bench Pro, edging out Claude Opus 4.6.

GPT-5.1

OpenAI · Nov 2025

59.6

A November 2025 update to GPT-5 with adaptive reasoning that spends thinking tokens only when a task needs them.

The verdict

These two models don't yet share verified results on the benchmarks we track, so judge them on specs, pricing and intended use. GLM-5.1 is about 1.6x cheaper per blended million tokens (3:1 input:output mix). GPT-5.1 also takes 400K of context versus 200K for GLM-5.1. And GLM-5.1 is open-weights (MIT), so it can be self-hosted — a structural advantage if data control or vendor independence matters.

Specs & pricing

GLM-5.1GPT-5.1
modhub Index59.6
Input price / 1M$1.4$1.25
Output price / 1M$4.4$10
Context window200K400K
Max output128K128K
Open weightsyes (MIT)no
Reasoning modelyesyes
Multimodal inputtexttext, image
Knowledge cutoffFeb 2026Sep 2024
ReleasedApr 2026Nov 2025
Example monthly cost*$20.60$27.50

* 10M input + 1.5M output tokens per month at list prices, no caching. Green = better value on that row.

Frequently asked questions

Which is better, GLM-5.1 or GPT-5.1?
These two models don't yet share verified results on the benchmarks we track, so judge them on specs, pricing and intended use. GLM-5.1 is about 1.6x cheaper per blended million tokens (3:1 input:output mix). GPT-5.1 also takes 400K of context versus 200K for GLM-5.1. And GLM-5.1 is open-weights (MIT), so it can be self-hosted — a structural advantage if data control or vendor independence matters.
Which is cheaper, GLM-5.1 or GPT-5.1?
GLM-5.1 costs $1.4/$4.4 per million input/output tokens, while GPT-5.1 costs $1.25/$10. For a typical workload of 10M input and 1.5M output tokens per month, that's $20.60 versus $27.50.
Which model is better for coding, GLM-5.1 or GPT-5.1?
We don't yet track SWE-bench Verified results for both models; check their individual pages for coding-related scores.

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