DeepSeek R1 vs GLM-5.3
Live Unit Economics, TTFT Latency & Reasoning Benchmark Analysis
Which model is better: DeepSeek R1 or GLM-5.3?
Verified Performance & Unit Economics Delta
Daily synchronized metrics from synthetic latency endpoints and benchmark evaluations.
| Metric / Dimension | DeepSeek R1 | GLM-5.3 | Net Delta / Advantage |
|---|---|---|---|
| Input Cost / 1M Tokens | $0.55 | $0.35 | GLM-5.3 is 1.6x cheaper |
| Output Cost / 1M Tokens | $2.19 | $1.00 | GLM-5.3 (54.3% lower) |
| Prompt Cache Read / 1M | $0.140 | $0.090 | GLM-5.3 is 1.6x cheaper |
| Prompt Cache Write / 1M | $0.55 | $0.35 | GLM-5.3 is 1.6x cheaper |
| Avg TTFT Response Latency | 1800ms | 160ms | GLM-5.3 (+1640ms faster) |
| SWE-bench Verified (Coding) | 49.2% | 56% | GLM-5.3 (+6.8% lead) |
| Inference Value Score (IVR) | 64.5 / 100 | 70.5 / 100 | GLM-5.3 (+6 pts) |
Interactive Monthly Token Economics & ROI Forecaster
Model your expected production workload across prompt (input) and completion (output) tokens with prompt caching economics.
Estimated Monthly Spend
$0.55/1M in · $2.19/1M out
Prompt Cache: $0.140/1M read · $0.55/1M write
$0.35/1M in · $1.00/1M out
Prompt Cache: $0.090/1M read · $0.35/1M write
When to Choose DeepSeek R1
Choose DeepSeek-R1 when you need Open-weights frontier reasoning and deep analytical problem solving at unmatched cost-per-token efficiency. and have an infrastructure budget aligned with $0.55/1M tokens.
When to Choose GLM-5.3
Choose GLM-5.3 when you need Bilingual flagship foundation model optimized for cross-lingual reasoning, long-form structured analysis, and enterprise tool execution. and prioritize Zhipu AI ecosystem integration at $0.35/1M tokens.
Related Questions & Decision Factors
Which is cheaper: DeepSeek R1 or GLM-5.3?
GLM-5.3 is cheaper at $0.35/1M input tokens compared to $0.55/1M for DeepSeek R1.
Which model has lower latency: DeepSeek R1 or GLM-5.3?
GLM-5.3 delivers faster response times with an average TTFT of 160ms vs 1800ms for DeepSeek R1.
When should you choose DeepSeek R1?
Choose DeepSeek-R1 when you need Open-weights frontier reasoning and deep analytical problem solving at unmatched cost-per-token efficiency. and have an infrastructure budget aligned with $0.55/1M tokens.
When should you choose GLM-5.3?
Choose GLM-5.3 when you need Bilingual flagship foundation model optimized for cross-lingual reasoning, long-form structured analysis, and enterprise tool execution. and prioritize Zhipu AI ecosystem integration at $0.35/1M tokens.