Why is this comparison indexable?

It has 6 verifiable comparison points, and both models have pricing or benchmark data.

Are missing metrics invented?

No. Metrics without LMSpeed data are omitted from this report.

Back to models

Data points: 164

Model compare

Claude Opus 4.6 vs GPT-5.4

The readout for Claude Opus 4.6 and GPT-5.4, before the detailed comparison sheet.

Model A

Claude Opus 4.6

Anthropic

Contender

Model B

GPT-5.4

OpenAI

Leading

Key Takeaways

Weighted outcome: GPT-5.4. Benchmark capability categories carry 80%, while price, API performance, and availability carry 20%.

Decision read

GPT-5.4

GPT-5.4 has the higher weighted result; Model A / B score 4 to 96.

Evidence depth

164 data points

Includes 50 benchmark rows, 0 audit samples, and 10 provider examples.

Selection signal

Start with GPT-5.4

The charts below split 60 high-signal samples across speed, scores, and audit health.

Change comparison

Switch either side of this report to compare another model with the same LMSpeed data pipeline.

Model AModel B

Comparison sheet

This report only uses LMSpeed data for Claude Opus 4.6 and GPT-5.4: pricing, speed aggregates, third-party benchmark scores, and shared provider samples.

Model compare	Claude Opus 4.6	GPT-5.4
Overall leader	Contender	Leading
Weighted overall score	4.0 pts	96.0 pts
Benchmark category leads	0 categories	7 categories
Operational advantages	Cheapest input price	Average speed, First-token latency, Free providers, Provider coverage
Context window	1M tokens	1.1M tokens
Max output	128K tokens	128K tokens
Modalities	Input TextImageFile Output Text	Input TextImageFile Output Text
Features	Text inputImage inputFile inputText outputTool callingStructured outputsJSON modeReasoning	Text inputImage inputFile inputText outputTool callingStructured outputsJSON modeReasoning

The overall result weights benchmark capability categories at 80% and price, API speed/latency, and availability at 20%. Recent test volume does not affect the winner, and missing benchmark categories are excluded.

Model metadata

Model compare	Claude Opus 4.6	GPT-5.4
Developer	Anthropic	OpenAI
Released	Feb 2026	Mar 2026
Parameters	No data	No data
Tokenizer	Claude	GPT
Knowledge cutoff	No data	No data
OpenRouter ID	anthropic/claude-opus-4.6	openai/gpt-5.4
References	No data	No data

When to choose each model

This report only uses LMSpeed data for Claude Opus 4.6 and GPT-5.4: pricing, speed aggregates, third-party benchmark scores, and shared provider samples.

Claude Opus 4.6

Claude Opus 4.6 has these operational advantages: Cheapest input price.

GPT-5.4

GPT-5.4 is stronger in benchmark categories (Agents, Coding, Reasoning, Knowledge, Math) and operational dimensions (Average speed, First-token latency, Free providers, Provider coverage).

Benchmark score comparison

Third-party benchmark profile synced into LMSpeed; only metrics available for both models are shown.

Category performance

Compare benchmark category scores on a 0-100 scale. Select a category to inspect the gap.

Model A coverage: 8 / 8
Model B coverage: 7 / 8
Shared: 7 shared categories

Avg. score

Claude Opus 4.6

51.8

Avg. score

GPT-5.4

56.6

Agents

GPT-5.4 leads by 2.0

Claude Opus 4.654.3

GPT-5.456.3

Coding

GPT-5.4 leads by 5.5

Claude Opus 4.656.7

GPT-5.462.2

Reasoning

GPT-5.4 leads by 2.3

Claude Opus 4.653.4

GPT-5.455.7

Knowledge

GPT-5.4 leads by 5.2

Claude Opus 4.653.3

GPT-5.458.5

Math

GPT-5.4 leads by 1.1

Claude Opus 4.655.7

GPT-5.456.8

Multilingual

Claude Opus 4.6

Claude Opus 4.648.4

GPT-5.4-

Multimodal

GPT-5.4 leads by 4.7

Claude Opus 4.647.8

GPT-5.452.5

Instruction following

GPT-5.4 leads by 9.2

Claude Opus 4.644.8

GPT-5.454

Professional benchmark details

Metric-level scores with benchmark source, rank depth, confidence, error, and evaluation date where available.

Group

Aggregatereported

Provider	Claude Opus 4.6	GPT-5.4
天宫造物50 tests	Claude Opus 4.6 speed / latency N/A / N/A input / output No data	GPT-5.4 speed / latency 50 tok/s / 7305ms input / output No data
巨量API49 tests	Claude Opus 4.6 speed / latency 24 tok/s / 7946ms input / output No data	GPT-5.4 speed / latency 43 tok/s / 12778ms input / output No data
Kunkunout API20 tests	Claude Opus 4.6 speed / latency 40 tok/s / 16141ms input / output No data	GPT-5.4 speed / latency N/A / N/A input / output No data
Sub2API20 tests	Claude Opus 4.6 speed / latency N/A / N/A input / output No data	GPT-5.4 speed / latency 34 tok/s / 1748ms input / output No data
钠 API20 tests	Claude Opus 4.6 speed / latency 42 tok/s / 2282ms input / output No data	GPT-5.4 speed / latency N/A / N/A input / output No data
180txt API	Claude Opus 4.6 claude-opus-4-6 speed / latency No data input / output $40.15/M/$200.75/M	GPT-5.4 gpt-5.4-2026-03-05 speed / latency No data input / output $0/M/$0/M
APIMart	Claude Opus 4.6 claude-opus-4-6 speed / latency No data input / output $3.84/M/$19.18/M	GPT-5.4 gpt-5.4 speed / latency No data input / output $0/M/$0/M
Dext API	Claude Opus 4.6 claude-opus-4-6 speed / latency No data input / output $0.240/M/$1.20/M	GPT-5.4 gpt-5-4 speed / latency No data input / output $0/M/$0/M
Moyanjdc API	Claude Opus 4.6 claude-opus-4-6 speed / latency No data input / output $0/M/$0/M	GPT-5.4 gpt-5.4 speed / latency No data input / output $0/M/$0/M
兔子API	Claude Opus 4.6 claude-opus-4-6 speed / latency No data input / output $0/request	GPT-5.4 gpt-5.4-2026-03-05 speed / latency No data input / output $0/request

Comparison sheet

Model metadata

When to choose each model

Benchmark score comparison

Category performance

Agents

Coding

Reasoning

Knowledge

Math

Multilingual

Multimodal

Instruction following

Professional benchmark details

BenchLM overall score

Input price

Blended price

Output price

CritPt

AA-LCR

BenchLM Reasoning score

GPQA

HLE

LiveCodeBench Pro

React Native Evals

Vibe Code Bench

AA-SciCode

SWE-bench Pro

BenchLM Coding score

FrontierMath v2 (Tiers 1-3)

FrontierMath v2 (Tier 4)

BenchLM Math score

HealthBench Hard

MedXpertQA (Text)

GPQA-D

AA-Omniscience Hallucination Rate

HLE w/o tools

AA-HLE

AA-Omniscience Accuracy

BenchLM Knowledge score

AA-GPQA Diamond

AA-Omniscience Index

Artificial Analysis Intelligence Index

MedXpertQA (MM)

ScreenSpot Pro

ERQA

MMMU-Pro

Design Arena Website

AA-MMMU-Pro

BenchLM Multimodal Grounded score

BenchLM Instruction Following score

AA-IFBench

τ²-bench results

Claw-Eval

Gert Labs

ResearchClawBench

CyberGym

APEX-Agents-AA

JobBench

BrowseComp

DeepSearchQA

OSWorld-Verified

Terminal-Bench 2.0

BenchLM Agentic score

API audit comparison

Provider examples

FAQ

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