GLM-5.1 vs Qwen3-235B-A22B

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.

Qwen3-235B-A22B

Alibaba (Qwen) · Jul 2025

69.0

The most popular open general-purpose Qwen: 235B MoE with hybrid thinking, a staple of the 2025 open-source ecosystem.

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: Qwen3-235B-A22B works out roughly 5.6x cheaper per blended million tokens. Qwen3-235B-A22B also takes 262K of context versus 200K for GLM-5.1.

Specs & pricing

GLM-5.1Qwen3-235B-A22B
modhub Index69.0
Input price / 1M$1.4$0.22
Output price / 1M$4.4$0.88
Context window200K262K
Max output128K33K
Open weightsyes (MIT)yes (Apache 2.0)
Reasoning modelyesyes
Multimodal inputtexttext
Knowledge cutoffFeb 2026Apr 2025
ReleasedApr 2026Jul 2025
Example monthly cost*$20.60$3.52

* 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 Qwen3-235B-A22B?
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: Qwen3-235B-A22B works out roughly 5.6x cheaper per blended million tokens. Qwen3-235B-A22B also takes 262K of context versus 200K for GLM-5.1.
Which is cheaper, GLM-5.1 or Qwen3-235B-A22B?
GLM-5.1 costs $1.4/$4.4 per million input/output tokens, while Qwen3-235B-A22B costs $0.22/$0.88. For a typical workload of 10M input and 1.5M output tokens per month, that's $20.60 versus $3.52.
Which model is better for coding, GLM-5.1 or Qwen3-235B-A22B?
We don't yet track SWE-bench Verified results for both models; check their individual pages for coding-related scores.

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