What is the difference between Claude Opus 5 and GPT-4o (2024-11-20)?

Claude Opus 5 (Anthropic) features Proprietary with a 1000k context window, while GPT-4o (2024-11-20) (OpenAI) features Proprietary with a 128k context window.

Which is cheaper for production inference, Claude Opus 5 or GPT-4o (2024-11-20)?

Claude Opus 5 input pricing is $5 per 1M tokens vs GPT-4o (2024-11-20) at $2.5 per 1M tokens.

Can I run Claude Opus 5 or GPT-4o (2024-11-20) locally on private GPU hardware?

Claude Opus 5 is a closed cloud API and cannot be self-hosted. GPT-4o (2024-11-20) is a closed cloud API.

Back to LLM Benchmark & Hardware Sizing Engine

AnthropicvsOpenAI

Claude Opus 5 vs GPT-4o (2024-11-20)

Side-by-side technical showdown between Claude Opus 5 and GPT-4o (2024-11-20) on TheModelverse. Compare verified LLM benchmark scores, quantization compression, local GPU hardware sizing, and API inference pricing.

Executive Showdown & Winner Breakdown

Who Wins Where: Claude Opus 5 vs GPT-4o (2024-11-20)

Verified across benchmarks, pricing & local VRAM footprint

Software Engineering & Code

+188.3% lead

Leader:Claude Opus 5(96.0 vs 33.3)

Claude Opus 5 demonstrates higher code generation accuracy and agentic bug resolution.

API Cost & Token Economics

56% cheaper

Leader:GPT-4o (2024-11-20)($5.00 vs $2.50 / 1M in)

GPT-4o (2024-11-20) delivers significantly lower input/output token pricing for high-throughput production.

Hardware Sizing & Model Compression

LLM Hardware Sizing & Quantization Sizing

Simulate weight compression levels and dynamic KV-cache expansion to verify whether these models fit on your local hardware or cloud GPU cluster.

Quantization Level

Active Precision

4 bits / parameter

VRAM Reduction

-72.5% vs FP16

Benchmark Retention

96–98% (Sweet Spot)

Context Simulator

Total VRAM Footprint @ 8k Context (INT4 (GGUF / AWQ))

Model 1Cloud Hosted

Claude Opus 5

Zero Local VRAM

Inference runs fully on provider cloud infrastructure. Zero GPU required locally.

Total Params:

Proprietary

Active Compute:

Dense

Attention Scheme:

GQA / Multi-Head

Max Context:

1000k tokens

Target Hardware: Zero Local VRAM (Managed Cloud API)

Model 2Cloud Hosted

GPT-4o (2024-11-20)

Zero Local VRAM

Inference runs fully on provider cloud infrastructure. Zero GPU required locally.

Total Params:

Proprietary

Active Compute:

Dense

Attention Scheme:

GQA / Multi-Head

Max Context:

128k tokens

Target Hardware: Zero Local VRAM (Managed Cloud API)

GPU & Hardware Tier Compatibility Matrix

Hardware Configuration	Available VRAM	Claude Opus 5	GPT-4o (2024-11-20)
16 GB VRAM RTX 4070 / 4080 (16GB), Mac M-Series (16GB)	16 GB	Cloud API	Cloud API
24 GB VRAM 1x RTX 3090 / 4090 (24GB), Mac M-Series (32GB)	24 GB	Cloud API	Cloud API
48 GB VRAM 2x RTX 4090 (TP=2), 1x L40S, Mac M-Series (64GB)	48 GB	Cloud API	Cloud API
80 GB VRAM 1x NVIDIA A100 / H100 (80GB), Mac Studio (128GB)	80 GB	Cloud API	Cloud API
160 GB Node 2x H100 (TP=2), 4x L40S, Mac Studio (192GB)	160 GB	Cloud API	Cloud API
Multi-Node Cluster 4x–8x H100 Datacenter Cluster	320 GB	Cloud API	Cloud API

LLM Benchmark Database

LLM Benchmark Showdown & Head-to-Head Deltas

Normalized evaluation scores across code generation, advanced reasoning, mathematics, and multidisciplinary exams.

SWE-bench (Coding)Score % / Points

Claude Opus 5

96.0

GPT-4o (2024-11-20)

—

Inference Economics & Cost Simulator

Token Pricing & Scale Economics

Calculate estimated monthly cloud API spend and evaluate the breakeven point vs self-hosted GPU hardware.

Monthly Queries: 100,000

10k500k1M

Avg Prompt Tokens: 1000

Avg Output Tokens: 300

Pricing Metric	Claude Opus 5	GPT-4o (2024-11-20)
Input Cost (/1M tokens)	$5.00	$2.50
Cached Input (/1M tokens)	—	—
Output Cost (/1M tokens)	$25.00	$10.00
Simulated Monthly Bill (100,000 calls)	$1250.00 ~$12.50 / 1k queries	$550.00 ~$5.50 / 1k queries
Self-Hosted Breakeven vs $864/mo GPU	Self-hosting cheaper at this volume	Cloud API is more cost effective

Architecture Matrix

Feature	Claude Opus 5	GPT-4o (2024-11-20)
Release Date	7/24/2026	11/20/2024
Routing / MoE	Dense	Dense
Attention Mechanism	Standard / GQA	Standard / GQA
Source Type	Proprietary Commercial API	Proprietary Commercial API

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