Which model is better: GLM-5.3 or GPT-4.5?

**GLM-5.3 decisively outperforms GPT-4.5 across efficiency and software engineering capabilities at a fraction of the cost.** It is 99.5% cheaper, charging $0.35 input and $1.00 output per 1M tokens versus $75.00 and $150.00. Furthermore, GLM-5.3 delivers a 160ms TTFT (690ms faster) and leads coding benchmarks with 56.0% on SWE-bench compared to GPT-4.5's 38.0%.
Verified daily via automated API latency tests and official documentation.

Verified Performance & Unit Economics Delta

Daily synchronized metrics from synthetic latency endpoints and benchmark evaluations.

Metric / Dimension GLM-5.3 GPT-4.5 Net Delta / Advantage
Input Cost / 1M Tokens $0.35 $75.00 GLM-5.3 is 214.3x cheaper
Output Cost / 1M Tokens $1.00 $150.00 GLM-5.3 (99.3% lower)
Prompt Cache Read / 1M $0.090 $37.500 GLM-5.3 is 416.7x cheaper
Prompt Cache Write / 1M $0.35 $75.00 GLM-5.3 is 214.3x cheaper
Avg TTFT Response Latency 160ms 850ms GLM-5.3 (+690ms faster)
SWE-bench Verified (Coding) 56% 38% GLM-5.3 (+18.0% lead)
Inference Value Score (IVR) 70.5 / 100 22.1 / 100 GLM-5.3 (+48.4 pts)

Interactive Monthly Token Economics & ROI Forecaster

Model your expected production workload across prompt (input) and completion (output) tokens with prompt caching economics.

Live Calculation Engine
10.0M Tokens
100K 50M 250M 500M+
2.5M Tokens
100K 10M 50M 100M+

Estimated Monthly Spend

GLM-5.3 $6.00

$0.35/1M in · $1.00/1M out

Prompt Cache: $0.090/1M read · $0.35/1M write

GPT-4.5 $1,125.00

$75.00/1M in · $150.00/1M out

Prompt Cache: $37.500/1M read · $75.00/1M write

Projected Monthly Cost Reduction
$1,119.00 / mo
(99.5% lower cost with GLM-5.3)
A

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 have an infrastructure budget aligned with $0.35/1M tokens.

B

When to Choose GPT-4.5

Choose GPT-4.5 when you need Deep world-knowledge synthesis, high-EQ conversational nuance, and long-form creative generation requiring massive pretraining breadth. and prioritize OpenAI ecosystem integration at $75.00/1M tokens.

Related Questions & Decision Factors

Which is cheaper: GLM-5.3 or GPT-4.5?

GLM-5.3 is cheaper at $0.35/1M input tokens compared to $75.00/1M for GPT-4.5.

Which model has lower latency: GLM-5.3 or GPT-4.5?

GLM-5.3 delivers faster response times with an average TTFT of 160ms vs 850ms for GPT-4.5.

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 have an infrastructure budget aligned with $0.35/1M tokens.

When should you choose GPT-4.5?

Choose GPT-4.5 when you need Deep world-knowledge synthesis, high-EQ conversational nuance, and long-form creative generation requiring massive pretraining breadth. and prioritize OpenAI ecosystem integration at $75.00/1M tokens.

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