💰 Unit Cost Winner GPT-4o $2.50/1M in · $10.00/1M out
⚡ Latency & Speed Winner GPT-4o 280ms TTFT · 100 tok/s
💻 Coding (SWE) Winner GPT-5 74.9% SWE-bench · 95.8% HumanEval
🧠 STEM Reasoning Winner GPT-5 85.4% GPQA · 98% MATH-500

Which model is better: GPT-4o or GPT-5?

GPT-4o and GPT-5 share identical input pricing at $2.50 per 1M tokens ($10.00 vs. $10.00 output). In terms of operational performance, GPT-4o delivers lower response latency at 280ms TTFT (60ms faster than GPT-5) with 100 vs. 105 tok/s throughput. GPT-5 leads coding evaluations at 74.9% SWE-bench Verified vs. 48.0% for GPT-4o and 85.4% vs. 53.6% on GPQA Diamond.
Verified daily via automated API latency tests and official documentation.

Verified Performance & Unit Economics Delta (12 Dimensions)

Daily synchronized metrics across token pricing, prompt cache economics, latency, throughput, and 5 capability benchmarks.

Metric / Dimension GPT-4o GPT-5 Net Delta / Advantage
Input Cost / 1M Tokens $2.50 $2.50 Identical Pricing
Output Cost / 1M Tokens $10.00 $10.00 Identical Output Pricing
Prompt Cache Read / 1M $1.250 $0.625 GPT-5 is 2.0x cheaper
Prompt Cache Write / 1M $2.50 $2.50 Identical Cache Write Pricing
Context Window (Max Output) 131k (16k out) 410k (128k out) GPT-5 (3.1x larger context)
Avg TTFT Response Latency 280ms 340ms GPT-4o (60ms faster)
Generation Speed (Throughput) 100 tok/s 105 tok/s GPT-5 (+5 tok/s faster)
SWE-bench Verified (Coding) 48% 74.9% GPT-5 (+26.9% lead)
GPQA Diamond (PhD STEM) 53.6% 85.4% GPT-5 (+31.8% lead)
MMLU-Pro (Multi-Discipline) 75.9% 90.8% GPT-5 (+14.9% lead)
MATH-500 (Quantitative Logic) 76.6% 98% GPT-5 (+21.4% lead)
Inference Value Score (IVR) 47.6 / 100 59.2 / 100 GPT-5 (+11.6 pts)

Interactive Monthly Token Economics & ROI Forecaster

Model production workloads across prompt, completion, and cached context tokens, or switch models on the fly.

25.0M Tokens
500K 50M 250M 500M+
5.0M Tokens
100K 25M 75M 150M+
50% Cached
0% (Uncached) 25% 50% (Typical Agent) 95% Max

Estimated Monthly Spend

GPT-4o $96.88

$2.50/1M in · $10.00/1M out

Prompt Cache: $1.250/1M read · $2.50/1M write

GPT-5 $89.06

$2.50/1M in · $10.00/1M out

Prompt Cache: $0.625/1M read · $2.50/1M write

Projected Monthly Cost Reduction
$7.81 / mo
(8.1% lower cost with GPT-5)
Open Full Matchup Analysis →
A

When to Choose GPT-4o

Choose GPT-4o (OpenAI) for general enterprise assistants, multimodal customer support, and structured JSON output pipelines — offering a 131k context window, 280ms TTFT, and $2.50/1M input pricing ($1.250/1M cached reads).

B

When to Choose GPT-5

Choose GPT-5 (OpenAI) for complex enterprise automation, full-stack software engineering, multimodal agent orchestration, and scientific synthesis — offering a 409k context window, 340ms TTFT, and $2.50/1M input pricing ($0.625/1M cached reads).

Related Questions & Decision Factors

Which is cheaper: GPT-4o or GPT-5?

Both GPT-4o and GPT-5 share identical input pricing at $2.50/1M tokens.

Which model has lower TTFT latency and higher tok/s throughput: GPT-4o or GPT-5?

GPT-4o delivers faster first-token latency at 280ms TTFT (100 tok/s throughput) compared to 340ms TTFT (105 tok/s) for GPT-5.

How do GPT-4o and GPT-5 compare on SWE-bench coding and GPQA Diamond reasoning?

On SWE-bench Verified software engineering, GPT-4o scores 48% versus 74.9% for GPT-5. On GPQA Diamond graduate-level STEM reasoning, GPT-4o scores 53.6% versus 85.4% for GPT-5 (and 76.6% vs 98% on MATH-500).

When should you choose GPT-4o?

Choose GPT-4o (OpenAI) for general enterprise assistants, multimodal customer support, and structured JSON output pipelines — offering a 131k context window, 280ms TTFT, and $2.50/1M input pricing ($1.250/1M cached reads).

When should you choose GPT-5?

Choose GPT-5 (OpenAI) for complex enterprise automation, full-stack software engineering, multimodal agent orchestration, and scientific synthesis — offering a 409k context window, 340ms TTFT, and $2.50/1M input pricing ($0.625/1M cached reads).

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