GLM-5.1 vs GPT-5.5

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-5.5

OpenAI · Apr 2026

77.2

OpenAI's flagship reasoning model with a 1M-token context window, built for hard coding, science and long-horizon agentic work.

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. On price the gap is dramatic: GLM-5.1 works out roughly 5.2x cheaper per blended million tokens. GPT-5.5 also takes 1M 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-5.5
modhub Index77.2
Input price / 1M$1.4$5
Output price / 1M$4.4$30
Context window200K1M
Max output128K128K
Open weightsyes (MIT)no
Reasoning modelyesyes
Multimodal inputtexttext, image
Knowledge cutoffFeb 2026Jan 2026
ReleasedApr 2026Apr 2026
Example monthly cost*$20.60$95.00

* 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-5.5?
These two models don't yet share verified results on the benchmarks we track, so judge them on specs, pricing and intended use. On price the gap is dramatic: GLM-5.1 works out roughly 5.2x cheaper per blended million tokens. GPT-5.5 also takes 1M 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-5.5?
GLM-5.1 costs $1.4/$4.4 per million input/output tokens, while GPT-5.5 costs $5/$30. For a typical workload of 10M input and 1.5M output tokens per month, that's $20.60 versus $95.00.
Which model is better for coding, GLM-5.1 or GPT-5.5?
We don't yet track SWE-bench Verified results for both models; check their individual pages for coding-related scores.

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