DeepSeek V4 vs GLM 5

DeepSeek · China  |  Z.ai · China · Updated June 2026

Quick verdict

Pick DeepSeek V4 for near-frontier coding at ~1/12 the cost or open mit-licensed weights you can self-host. Pick GLM 5 for agentic planning and long-horizon coding workflows or complex systems design and backend reasoning. On a tight budget at scale, DeepSeek V4 is the value pick.

DeepSeek V4 (DeepSeek) and GLM 5 (Z.ai) are two of the models people most often weigh against each other in 2026. DeepSeek V4 is china's open-weight price earthquake — near-frontier capability at roughly a twelfth of GPT-5.5's cost. GLM 5 is z.ai's flagship open-weight (MIT) MoE foundation model, engineered for complex systems design and long-horizon agentic coding. They diverge most on price, context window and coding benchmarks — each quantified below from the models' real specs.

Key differences at a glance

Side-by-side specs

SpecDeepSeek V4GLM 5
ProviderDeepSeek (China) Z.ai (China)
ReleasedApril 24, 2026 February 12, 2026
Context window1M (~1,500 pages) 200K (~300 pages)
Price (in/out)$0.66/$1.98 per 1M tokens $1/$3.2 per 1M tokens
Open weight?Yes — self-hostable Yes — self-hostable
Modalitiestext, code text, code
SWE-Bench Verified80.6% 77.8%
MRCR v2 @ 1MNot published Not published

Who wins what

Near-frontier coding at ~1/12 the cost

DeepSeek V4

It scores 80.6% on SWE-Bench Verified against GLM 5's 77.8% — a 2.8-point edge on real repository work.

Open MIT-licensed weights you can self-host

DeepSeek V4

China's open-weight price earthquake — near-frontier capability at roughly a twelfth of GPT-5.5's cost — and it leads SWE-Bench Verified 80.6% to 77.8%.

No long-context surcharge

DeepSeek V4

Its 1M window holds about 5× more than GLM 5's 200K in a single prompt.

Agentic planning and long-horizon coding workflows

GLM 5

DeepSeek V4 is comparatively weak here — trails the very best on hardest agentic coding

Complex systems design and backend reasoning

GLM 5

GLM 5 lists complex systems design and backend reasoning among its strengths; DeepSeek V4 does not.

Iterative self-correction on autonomous tasks

GLM 5

GLM 5 lists iterative self-correction on autonomous tasks among its strengths; DeepSeek V4 does not.

Lowest cost at scale

DeepSeek V4

At $0.66/$1.98 per 1M tokens, it is the cheaper of the two — the gap dominates the bill on high-volume workloads.

Largest single-prompt input

DeepSeek V4

Its 1M window is about 5× larger than GLM 5's 200K, fitting roughly 1,500 pages in one prompt.

Which should you pick?

A cost-sensitive startup shipping high volume

→ DeepSeek V4

At $0.66/$1.98 per 1M tokens it undercuts GLM 5, and on millions of tokens that margin decides the monthly bill.

Someone analysing very long documents or codebases

→ DeepSeek V4

Larger 1M window fits more in one prompt.

Anyone whose priority is near-frontier coding at ~1/12 the cost

→ DeepSeek V4

It is specifically built for that.

Anyone whose priority is agentic planning and long-horizon coding workflows

→ GLM 5

That is its strongest area.

DeepSeek V4: where it fits

China's open-weight price earthquake — near-frontier capability at roughly a twelfth of GPT-5.5's cost. Released April 24, 2026 by DeepSeek, it is built for near-frontier coding at ~1/12 the cost, open MIT-licensed weights you can self-host, no long-context surcharge, and highest LiveCodeBench result.

Its trade-offs are real: this generic 'V4' entry mirrors DeepSeek V4-Pro's specs - see DeepSeek V4-Pro and DeepSeek V4-Flash for DeepSeek's actual named product tiers, trails the very best on hardest agentic coding, and text/code focused, less multimodal. At $0.66 in / $1.98 out per million tokens, it sits in the budget price band.

GLM 5: where it fits

Z.ai's flagship open-weight (MIT) MoE foundation model, engineered for complex systems design and long-horizon agentic coding. Released February 12, 2026 by Z.ai, it is built for agentic planning and long-horizon coding workflows, complex systems design and backend reasoning, iterative self-correction on autonomous tasks, and open weights under the permissive MIT license.

Its trade-offs: 200K context trails 1M-context rivals, and quickly superseded by GLM-5.1 and GLM-5.2. At $1 in / $3.2 out per million tokens, it sits in the budget price band.

The bottom line for this matchup

DeepSeek V4 and GLM 5 overlap enough that the right pick depends on your specific job. DeepSeek V4 costs less per token; DeepSeek V4 holds the larger context; and each leads in its own area — DeepSeek V4 for near-frontier coding at ~1/12 the cost, GLM 5 for agentic planning and long-horizon coding workflows. Rather than crowning one, run the same hard task through both once and let the results decide.

Want both DeepSeek V4 and GLM 5 without two subscriptions? LumiChats gives you these plus 40+ models under one ₹69/day pass (about $1/day) — draft with one, cross-check with the other.

See pricing

Frequently asked questions

Is DeepSeek V4 or GLM 5 better for coding?

On SWE-Bench Verified, DeepSeek V4 scores 80.6% and GLM 5 scores 77.8% — DeepSeek V4 has the measurable edge.

Which is cheaper, DeepSeek V4 or GLM 5?

DeepSeek V4 is cheaper — $0.66/$1.98 per 1M tokens vs $1/$3.2 per 1M tokens, roughly 1.5× apart on input.

Which has the bigger context window?

DeepSeek V4 — 1M vs 200K, about 5× larger. Useful only if the model actually reasons over the full window, which not all do.

Can I use both DeepSeek V4 and GLM 5 together?

Yes — a multi-model platform like LumiChats gives you DeepSeek V4, GLM 5 and 40+ others under one ₹69/day pass (about $1/day), so you can draft with one and cross-check with the other instead of buying two subscriptions.

Which is newer, DeepSeek V4 or GLM 5?

DeepSeek V4 — released April 24, 2026, about 2 months after GLM 5.

Related comparisons

Specifications and benchmarks reflect publicly reported figures as of June 2026 and may change as providers release updates. Always verify on your own workload.