GLM vs DeepSeek: Which Open Model Family in 2026?

The 2026 Lineups

Family	Model	Released	Position
GLM (Z.ai)	GLM-5	Apr 2026	Agentic SOTA among open weights
	GLM-5.1	May 2026	Coding leap (~94.6% of Claude Opus 4.6 SWE-bench)
	GLM-5.2	Jun 13, 2026	Current flagship; beats V4 Pro on shared SWE benchmarks
DeepSeek	DeepSeek V4	Apr 2026	The base release
	V4 Pro / Pro Max	Apr 24, 2026	Flagship reasoning pair; leads BenchLM composite (Aug 2026)
	V4 Flash 0731	Jul 31, 2026	Value model — ~79% SWE-bench Verified, 91.6% LiveCodeBench
	V3.2 (Thinking)	2025–26	Still competitive (#3 on BenchLM Aug 2026)

Head-to-Head: What the Benchmarks Say

Dimension	GLM-5.2	DeepSeek V4 Pro
Software engineering	Wins — every shared SWE benchmark in Z.ai's table, often by wide margins	Strong, but second on the shared suite
General composite (BenchLM, Aug 2026)	Behind	Leads — 60 vs 59.1 (Pro Max), 57.3 (V3.2)
Context window	Large (128K-class)	Larger — DeepSeek is the long-context winner in this matchup
Throughput	~39.5 t/s (Reasoning, per Artificial Analysis)	~62.6 t/s (V4 Pro Reasoning, Max Effort)
Agentic capability	Wins — positioned as SOTA among open weights	Good, but GLM leads tool-use benchmarks
Price (blended API)	~1.3x cheaper than V4 Pro Max	Discount-period pricing has at times been lowest of all

💡 The community verdict in one line: "GLM is closer to a GPT-5.4 experience for coding and agentic use; DeepSeek wins on context window and raw throughput." Both camps have data on their side — the split is real, not marketing.

Which Should You Pick?

Your workload	Pick
AI agents, tool calling, orchestration	GLM-5.x — the agentic leader
Heavy software engineering (SWE-bench-style tasks)	GLM-5.2
Very long documents, huge context, batch processing	DeepSeek V4 Pro
Budget-maximized high-volume API usage	DeepSeek V4 Flash 0731 — or GLM-5 for blended cost
General assistant / reasoning mix	DeepSeek V4 Pro (composite leader)
Local/self-hosted	GLM-4-9B for laptops; DeepSeek MoE only on high-VRAM servers

For the local-AI angle: neither flagship is laptop-friendly — GLM-5.x and DeepSeek V4 are MoE giants. If you're self-hosting, GLM-4-9B (covered in the local ranking) is the practical family member. And if you're choosing a cloud API, both families now cost a fraction of the closed frontier — part of the open-beats-closed story of 2026.

Frequently Asked Questions (FAQ)

Which is better in 2026: GLM or DeepSeek?

They lead different categories. GLM-5.2 (Z.ai, June 2026) leads open-weight agentic capability and beats DeepSeek V4 Pro on most shared software-engineering benchmarks. DeepSeek V4 Pro leads general composite rankings (BenchLM, Aug 2026) and wins on context window and raw throughput. Choose by workload, not a single number.

Is GLM-5.2 better at coding than DeepSeek V4?

On Z.ai's published SWE-bench comparisons, GLM-5.2 outperforms DeepSeek V4 Pro across every shared software-engineering benchmark, often by wide margins. GLM-5.1 scored about 94.6% of Claude Opus 4.6's SWE-bench performance. Community hands-on testing in 2026 broadly agrees GLM feels closer to frontier coding quality.

Which is cheaper: GLM or DeepSeek?

Both are among the cheapest frontier-class APIs. Blended input/output pricing puts GLM-5 about 1.3x cheaper than DeepSeek V4 Pro Max, while DeepSeek's discount-period pricing has at times been the lowest of all. Locally, both are open-weight — cost is your hardware, not tokens.

Can I run GLM or DeepSeek locally?

Yes — both families publish open weights. The full 1T-class models are not practical to self-host, but GLM-4-9B remains a strong laptop model, and quantized DeepSeek V3.x/V4-class MoE builds run on high-VRAM servers. For consumer hardware, the GLM-4-9B lineage is the more practical choice.

What is DeepSeek V4 Flash?

DeepSeek V4 Flash is the efficiency-focused member of the V4 family, with the 0731 update (July 31, 2026) delivering large benchmark jumps — around 79% SWE-bench Verified and 91.6% LiveCodeBench — at a dirt-cheap price point. It is the distilled "value" model of the family.

Which is better for agents: GLM or DeepSeek?

GLM. Z.ai positions GLM-5 as state-of-the-art among open-weight models on agentic benchmarks, and 2026 community testing (including the "GLM feels like GPT-5.4" comparisons) repeatedly credits GLM with stronger agentic and tool-use behavior. DeepSeek counters with larger context windows for long agent runs.