DeepSeek V4 Pro 0813 vs GLM-5.3: Context and API Pricing
Compare DeepSeek V4 Pro 0813 and GLM-5.3 context limits, current native API pricing, and a reproducible way to evaluate coding tasks.
Lucky YaduvanshiRankLLMs Editorial
Synthesizing article benchmarks & model metrics...
DeepSeek V4 Pro 0813 and GLM-5.3 each document a 1M-token context window. Their current native API rates differ, and benchmark scores should be compared only when the model versions and evaluation setups match.
Specifications and endpoint notes
DeepSeek’s official pricing documentation identifies the Pro model as DeepSeek-V4-Pro-0813; it lists 1M context, a maximum 384K output, tool calls, JSON output, and an Anthropic-compatible endpoint. The official tariff is time-dependent, with off-peak rates half of peak rates.
Z.ai documents GLM-5.3 with a 1M context window in its GLM-5.3 release article. It lists API prices on the developer pricing page. Total and active parameter counts alone do not establish local memory requirements, latency, or quality.
| USD per million tokens | DeepSeek V4 Pro 0813 off-peak | DeepSeek V4 Pro 0813 peak | GLM-5.3 API |
|---|---|---|---|
| Uncached input | $0.66 | $1.32 | $1.40 |
| Cached input | $0.022 | $0.044 | $0.26 |
| Output | $1.98 | $3.96 | $4.40 |
DeepSeek defines peak hours as weekdays 01:00-04:00 and 06:00-10:00 UTC, excluding Chinese public holidays. Weekends and Chinese public holidays are off-peak all day. Rates can change, and subscription products or intermediaries may use different billing.
Cost example
For a hypothetical task with 100,000 uncached input tokens, 400,000 cached input tokens, and 20,000 output tokens, the DeepSeek Pro off-peak token charge is 0.1 × $0.66 + 0.4 × $0.022 + 0.02 × $1.98 = $0.1144. At peak, those same counts cost $0.2288. GLM-5.3 at the listed API rates costs 0.1 × $1.40 + 0.4 × $0.26 + 0.02 × $4.40 = $0.332.
This illustrates token billing only. It says nothing about task success or total cost per accepted patch. A model that requires more retries or more reviewer time can erase a token-price advantage.
How to compare capability fairly
Use the exact model ID and same agent harness, starting commit, tools, prompt, reasoning settings, and budget. Evaluate a representative set of repository tasks. Record passing tests, regressions, retries, token categories, elapsed time, and human review effort. Benchmark values from different harness versions, seeds, or task suites should not be combined as a direct ranking.
Verdict
DeepSeek Pro is cheaper per token during off-peak hours in this rate snapshot; GLM-5.3’s published context window is also 1M, not 200K. Choose based on the actual route available to you and measured outcomes on your codebase. Recheck both provider pages before committing to a production cost estimate.
See the DeepSeek V4 Pro profile, GLM-5.3 profile, and comparison tool.
Frequently Asked Questions
How do DeepSeek V4 Pro 0813 and GLM-5.3 compare on coding benchmarks?
This article does not present a matched benchmark. Evaluate the exact model endpoints with the same harness, tasks, and tool budget.
What are the pricing differences between DeepSeek V4 Pro and GLM-5.3?
DeepSeek V4 Pro 0813 currently lists $0.66/$1.98 off-peak and $1.32/$3.96 peak for uncached input/output; GLM-5.3 lists $1.40/$4.40. Cached rates also differ.
Source links for data and claims discussed in this article are listed below. Refer to each source for its current figures and methodology.
- •DeepSeek API Models and Pricing(source)
- •Z.ai GLM-5.3 Release(source)
- •Z.ai Developer Pricing(source)
Lucky Yaduvanshi(luckyyaduvanshi.in →)
Founder of RankLLMs • AI Researcher & Software Engineer focusing on LLM benchmarking, DevOps, and autonomous coding agents.
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