Home / Compare / DeepSeek V4.1 vs GLM 5.3

DeepSeek V4.1 vs GLM 5.3

A side-by-side look at two of the open models available on kryyt. Both are callable from one OpenAI-compatible API.

At a glance

DeepSeek

DeepSeek V4.1

Flagship IDdeepseek-v4.1-flash
Context1M tokens
LicenseMIT
PricingSee account pricing
StatusLive
ReleasedSeptember 2026

Frontier open reasoning and agentic coding at commodity prices.

DeepSeek V4.1 details →

Z.ai (Zhipu)

GLM 5.3

Flagship IDglm-5.3
Contextup to 1M tokens
LicenseMIT
PricingSee account pricing
StatusComing soon
ReleasedAugust 2026

Agentic engineering — long-horizon coding, terminal tasks, hybrid reasoning.

GLM 5.3 details →

DeepSeek V4.1 vs GLM 5.3 on benchmarks

On the benchmarks both labs publish (Terminal-Bench 2.1, DeepSWE v1.1, CyberGym), DeepSeek V4.1 leads on Terminal-Bench 2.1, DeepSWE v1.1, CyberGym.

DeepSeek V4.1 vs GLM 5.3 — published evaluation results
BenchmarkScores (%)
Terminal-Bench 2.1Agentic coding in real terminal environments
DeepSeek V4.1 Flash90.6
GLM-5.388.2
DeepSWE v1.1Repairing fresh, real-world software issues
DeepSeek V4.1 Flash74.2
GLM-5.3 Flash63.4
CyberGymSecurity vulnerability discovery
DeepSeek V4.1 Flash88.1
GLM-5.384.5
GPQA DiamondGraduate-level science reasoning
DeepSeek V4.1 Flash90.9
GLM 5.3Not published
SWE-bench ProResolving issues in professional codebases
DeepSeek V4.1Not published
GLM-5.262.1
NL2Repo-BenchGenerating whole repositories from a spec
DeepSeek V4.1 Flash65.4
GLM 5.3Not published
AutomationBenchWorkflow-automation agents
DeepSeek V4.1 Flash54.8
GLM 5.3Not published
Agents' Last ExamLong-horizon agentic tasks
DeepSeek V4.1 Flash31.8
GLM 5.3Not published
Terminal-Bench 3.0Harder next-generation terminal tasks
DeepSeek V4.1Not published
GLM-5.328.3

Each bar names the exact model variant measured. Sources: DeepSeek-V4.1-Flash model card (NVIDIA) (opens in new tab); DeepSeek V4.1 Flash review (Build Fast with AI) (opens in new tab); GLM-5.3 benchmarks (MindStudio, citing Z.ai) (opens in new tab); GLM-5.3 benchmarks (Emergent, citing Z.ai) (opens in new tab); GLM-5.3-Flash benchmarks (DataCamp, citing Z.ai) (opens in new tab); Z.ai GLM-5 series repository (opens in new tab).

Scores are vendor-reported unless marked independent, as of September 2026. Labs use different agent harnesses, reasoning settings, and benchmark versions, so treat cross-lab gaps of a few points as roughly equal and test on your own workload.

Which should you use?

DeepSeek V4.1 leans toward long-context code generation, while GLM 5.3 is a strong pick for repo-scale coding & terminal agents. Because both run on kryyt behind one API, you can route each request to whichever fits — no second integration.

FAQ

Is DeepSeek V4.1 better than GLM 5.3?

They target different strengths. DeepSeek V4.1 is strong at long-context code generation; GLM 5.3 at repo-scale coding & terminal agents. The best choice depends on your task, and kryyt lets you use both.

Can I use DeepSeek V4.1 and GLM 5.3 together?

Yes. Both are available through the same kryyt endpoint and key — switch by changing the model string per request.

How are they priced on kryyt?

Usage is charged at Kryyt's published rates for the selected model and features. Review current pricing and usage in your account.

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