GLM-5 vs Qwen3-Coder-Next

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

GLM-5

Z.ai (Zhipu) · Feb 2026

Z.ai's 744B open-weights MoE — within ~4 points of Opus 4.6 on SWE-bench Verified at $1/$3.20 per million tokens.

Qwen3-Coder-Next

Alibaba (Qwen) · Feb 2026

The 2026 open coding specialist: 70.6% SWE-bench Verified under Apache 2.0 from $0.11 per million input tokens.

The verdict

GLM-5 wins 1 of the 1 benchmarks these models share, against 0 for Qwen3-Coder-Next. On price the gap is dramatic: Qwen3-Coder-Next works out roughly 5.5x cheaper per blended million tokens. Qwen3-Coder-Next also takes 262K of context versus 200K for GLM-5.

Benchmark head-to-head 10

SWE-bench Verified
~77.8%70.6%
GLM-5Qwen3-Coder-Next

Specs & pricing

GLM-5Qwen3-Coder-Next
modhub Index
Input price / 1M$1$0.11
Output price / 1M$3.2$0.8
Context window200K262K
Max output128K66K
Open weightsyes (MIT)yes (Apache 2.0)
Reasoning modelyesyes
Multimodal inputtexttext
Knowledge cutoffDec 2025Nov 2025
ReleasedFeb 2026Feb 2026
Example monthly cost*$14.80$2.30

* 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 or Qwen3-Coder-Next?
GLM-5 wins 1 of the 1 benchmarks these models share, against 0 for Qwen3-Coder-Next. On price the gap is dramatic: Qwen3-Coder-Next works out roughly 5.5x cheaper per blended million tokens. Qwen3-Coder-Next also takes 262K of context versus 200K for GLM-5.
Which is cheaper, GLM-5 or Qwen3-Coder-Next?
GLM-5 costs $1/$3.2 per million input/output tokens, while Qwen3-Coder-Next costs $0.11/$0.8. For a typical workload of 10M input and 1.5M output tokens per month, that's $14.80 versus $2.30.
Which model is better for coding, GLM-5 or Qwen3-Coder-Next?
On SWE-bench Verified — the standard agentic-coding benchmark — GLM-5 scores ~77.8% versus 70.6% for Qwen3-Coder-Next, making GLM-5 the stronger pick for coding agents.

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