Is DeepSeek-R1 or GLM-4.5 cheaper?

Per-token pricing isn't published for at least one of these models, check each model's spec page for current rates.

Which has the larger context window?

Both DeepSeek-R1 and GLM-4.5 ship a 128K-token context window.

Is DeepSeek-R1 or GLM-4.5 better for coding?

Both DeepSeek-R1 and GLM-4.5 are competitive on coding benchmarks. See each model's individual spec page for HumanEval and SWE-bench scores where published. For an opinionated pick, consult our Best LLM for Coding ranking.

Are either of these models open source?

Both ship with open weights. DeepSeek-R1 is licensed under MIT; GLM-4.5 under MIT.

When were DeepSeek-R1 and GLM-4.5 released?

DeepSeek-R1 was released by DeepSeek on 2025-01-20. GLM-4.5 was released by Other on 2025-07-28.

Is DeepSeek-R1 or GLM-4.5 cheaper?

Per-token pricing isn't published for at least one of these models, check each model's spec page for current rates.

Which has the larger context window?

Both DeepSeek-R1 and GLM-4.5 ship a 128K-token context window.

Is DeepSeek-R1 or GLM-4.5 better for coding?

Both DeepSeek-R1 and GLM-4.5 are competitive on coding benchmarks. See each model's individual spec page for HumanEval and SWE-bench scores where published. For an opinionated pick, consult our Best LLM for Coding ranking.

Are either of these models open source?

Both ship with open weights. DeepSeek-R1 is licensed under MIT; GLM-4.5 under MIT.

When were DeepSeek-R1 and GLM-4.5 released?

DeepSeek-R1 was released by DeepSeek on 2025-01-20. GLM-4.5 was released by Other on 2025-07-28.

DeepSeek-R1 vs GLM-4.5

A complete head-to-head: pricing, context window, benchmarks, modality coverage, and openness, with a programmatic verdict synthesized from the underlying data.

UpdatedApr 30, 2026

DeepSeek-R1 specs · GLM-4.5 specs

Verdict by category

PriceDeepSeek-R1
DeepSeek-R1 publishes pricing ($2.19 / 1M output tokens) while GLM-4.5 does not.
Context windowTie
Both ship a 128K-token context window.
BenchmarksTie
No directly comparable public benchmarks are available for both models, check the spec sheets for individual scores.
ModalitiesGLM-4.5
GLM-4.5 supports 2 modalities (text, vision) vs 1 for DeepSeek-R1.
OpennessTie
Both ship open weights, self-host either one.

It's a genuine coin-flip between DeepSeek-R1 and GLM-4.5: 1 category wins each, with the rest tied. DeepSeek-R1 publishes pricing ($2.19 / 1M output tokens) while GLM-4.5 does not. Both ship a 128K-token context window.

No directly comparable public benchmarks are available for both models, check the spec sheets for individual scores. They differ in modality coverage, DeepSeek-R1 handles text while GLM-4.5 handles text, vision, which can be the deciding factor before you even look at benchmarks. Both ship open weights, self-host either one.

GLM-4.5 is the newer of the two, released 6 months after DeepSeek-R1, which usually means a more recent knowledge cutoff and updated safety post-training. DeepSeek-R1 is usually picked for reasoning and math workloads, while GLM-4.5 sees more deployments in chinese llm and open source llm. If pricing matters more than every last benchmark point, run the numbers in the calculator below before committing.

Side-by-side specs

Spec	DeepSeek-R1	GLM-4.5
Provider	DeepSeek	Other
Released	Jan 2025	Jul 2025
Modalities	text	text, vision
Context window	128K tokens	128K tokens
Max output	,	,
Input · 1M	$0.55 / 1M tokens	Pricing not published
Output · 1M	$2.19 / 1M tokens	Pricing not published
Knowledge cutoff	2024-07	,
Open weights	Yes (MIT)	Yes (MIT)
API available	Yes	Yes

Pricing at scale

What you'd actually pay at typical workloads. Numbers come from each model's published per-million-token rates.

Light usage, 100k in / 50k out per day$4.94 vs ,
Heavy usage, 1M in / 500k out per day$49.35 vs ,
RAG workload, 5M in / 200k out per day$95.64 vs ,

Light usage, 100k in / 50k out per day: pricing not directly comparable (one or both models are missing public per-token rates). Heavy usage, 1M in / 500k out per day: pricing not directly comparable (one or both models are missing public per-token rates). RAG workload, 5M in / 200k out per day: pricing not directly comparable (one or both models are missing public per-token rates).

Price calculator

Estimated spend for the listed models at your usage. Numbers are derived from each model's published per-million-token rates.

Input tokens / dayOutput tokens / dayHorizon

DeepSeek-R1$0.165
GLM-4.5Pricing unavailable

Benchmarks compared

Only sourced numbers. Where a benchmark is missing for one model we show the available value rather than fabricating the other.

DeepSeek-R1GLM-4.5

GPQA71.5

Pick DeepSeek-R1 if

DeepSeek-R1 fits when…

Open-weight reasoning model on par with o1
MIT license
Cheap reasoning per token

Pick GLM-4.5 if

GLM-4.5 fits when…

MIT license
Strong Chinese
Multimodal
Multimodal needs covering vision.

Don't want either?

Consider DeepSeek-V3

DeepSeek's flagship 671B-parameter MoE, frontier-level quality at a tiny fraction of frontier prices.

See DeepSeek-V3 specs DeepSeek-R1 vs DeepSeek-V3 GLM-4.5 vs DeepSeek-V3

Frequently asked

Is DeepSeek-R1 or GLM-4.5 cheaper?
Per-token pricing isn't published for at least one of these models, check each model's spec page for current rates.
Which has the larger context window?
Both DeepSeek-R1 and GLM-4.5 ship a 128K-token context window.
Is DeepSeek-R1 or GLM-4.5 better for coding?
Both DeepSeek-R1 and GLM-4.5 are competitive on coding benchmarks. See each model's individual spec page for HumanEval and SWE-bench scores where published. For an opinionated pick, consult our Best LLM for Coding ranking.
Are either of these models open source?
Both ship with open weights. DeepSeek-R1 is licensed under MIT; GLM-4.5 under MIT.
When were DeepSeek-R1 and GLM-4.5 released?
DeepSeek-R1 was released by DeepSeek on 2025-01-20. GLM-4.5 was released by Other on 2025-07-28.

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