Pairwise benchmark snapshot · Aug 17, 2026noindex (thin pair)

Command A vs OpenAI: GPT-5.4 (batch) benchmark

Name: Command A vs OpenAI: GPT-5.4 (batch) AI benchmark comparison
Creator: CompareLLM
License: https://creativecommons.org/licenses/by/4.0/

This page compares Command A (Cohere) and OpenAI: GPT-5.4 (batch) (OpenAI) using the latest snapshots we have as of Aug 17, 2026. OpenAI: GPT-5.4 (batch) wins on output price at $7.5/1M. OpenAI: GPT-5.4 (batch) has the larger context window (1.1M tokens). Every cell below is a dated snapshot from a named public source — we do not invent missing scores, and we do not run SWE-bench ourselves.

Share Analysis:

WhatsApp Telegram X / Post LinkedIn Reddit

Cohere

Command A

Cohere enterprise RAG and tool-use model.

Elo 1,344$10/1M out

OpenAI

OpenAI: GPT-5.4 (batch)

Auto-discovered from OpenRouter (openai/gpt-5.4:batch). Preview until a second source matches.

$7.5/1M out

Swap or Add Any Model to this Matchup

Instant pairwise benchmark recalculation across 400+ LLMs

Model A

Model B

Quick vs:vs Claude Opus 4.5 vs Claude Opus 4.6 vs Claude Sonnet 4.5 vs Claude 3.7 Sonnet

Interactive Comparison Diagram

Matchup Breakdown

Tug-of-War Matchup Matrix

Category wins across intelligence, speed, and pricing efficiency.

Command A (6)vsOpenAI: GPT-5.4 (batch) (3)

Command A: 6W (67%)Overall: Command AOpenAI: GPT-5.4 (batch): 3W (33%)

← Command AOpenAI: GPT-5.4 (batch) →

Command A (4/5)

Intelligence & Reasoning

Preference Elo, Coding proficiency, SWE-bench & LiveBench accuracy

Preference Elo

1,344vs—

Coding Elo

—vs—

SWE-bench

42.6%vs—

LiveBench

56.2%vs—

GPQA Diamond

66%vs—

Command A: 4WOpenAI: GPT-5.4 (batch): 0W

Command A (2/2)

Speed & Latency

Generation throughput and time to first token responsiveness

Output speed

118 tok/svs—

Time to first token

175 msvs—

Command A: 2WOpenAI: GPT-5.4 (batch): 0W

OpenAI: GPT-5.4 (batch) (3/3)

Pricing & Capacity

Cost per million tokens and max context window length

Output price

$10/1Mvs$7.5/1M

Input price

$2.5/1Mvs$1.25/1M

Context window

256kvs1.1M

Command A: 0WOpenAI: GPT-5.4 (batch): 3W

Capability Matchup Radar

Multi-Dimensional Capability Radar

Each spoke is a skill. Farther from the center is better (0–100th percentile). Tap any dot to inspect details.

Tap any node to inspect

Percentile 0–100

Dimensional AdvantageCommand A 4/6

Preference Elo

No shared data

Throughput Speed

No shared data

Price Efficiency

OpenAI: GPT-5.4 (batch)

$2.50/1M cheaper

Full Benchmark Score Matrix

—

Elo

High is better

1,344

EloHigh is better

—

LiveBench

High is better

56.2%

LiveBenchHigh is better

—

SWE-bench

High is better

42.6%

SWE-benchHigh is better

—

GPQA

High is better

66%

GPQAHigh is better

—

TTFT

Low is better

175 ms

TTFTLow is better

—

Speed

High is better

118 tok/s

SpeedHigh is better

—

In $

Low is better

$2.5/1M

In $Low is better

$1.25/1M+100%

Out $

Low is better

$10/1M

Out $Low is better

$7.5/1M+33%

Context

High is better

256k

ContextHigh is better

1.1M+310%

Interactive Simulator

Workload Cost & Savings Calculator

Simulate monthly production API costs based on published $/1M tokens.

Save up to 34% with OpenAI: GPT-5.4 (batch)

Monthly Volume50M tokens/mo

Quick Presets:

Token Ratio (In vs Out)70% In / 30% Out

RAG / Search (10% out)Coding / Chat (50% out)

Command A$237.50 / mo

In: $87.50Out: $150.00

OpenAI: GPT-5.4 (batch)$156.25 / mo

In: $43.75Out: $112.50

Estimated Cost Delta

OpenAI: GPT-5.4 (batch) is estimated to save $81.25/month ($975/year).

Based on 50M tokens (30% gen)

Key Selection Recommendations

1
OpenAI: GPT-5.4 (batch):Pick OpenAI: GPT-5.4 (batch) when you are optimizing output cost.
2
OpenAI: GPT-5.4 (batch):Pick OpenAI: GPT-5.4 (batch) for million-token RAG or long-document jobs.

Recommended Workload Routing

Repo / coding agentsinsufficient data

Need SWE-bench on both sides.

High-volume chatOpenAI: GPT-5.4 (batch)

Lower output list price ($7.5/1M).

Voice / low-latency UIinsufficient data

Need TTFT on both sides.

Long-document RAGOpenAI: GPT-5.4 (batch)

Larger window (1.1M).

Screenshots / visionOpenAI: GPT-5.4 (batch)

OpenAI: GPT-5.4 (batch) is the side marked multimodal in the catalog.

Target Workload	Recommended Pick	Evaluation Rationale
Repo / coding agents	insufficient data	Need SWE-bench on both sides.
High-volume chat	OpenAI: GPT-5.4 (batch)	Lower output list price ($7.5/1M).
Voice / low-latency UI	insufficient data	Need TTFT on both sides.
Long-document RAG	OpenAI: GPT-5.4 (batch)	Larger window (1.1M).
Screenshots / vision	OpenAI: GPT-5.4 (batch)	OpenAI: GPT-5.4 (batch) is the side marked multimodal in the catalog.

Related Editorial Dispatches & Benchmark Notes

View all news

launchMar 13, 2025

Command A: Cohere’s enterprise RAG and tool-use row

Mar 2025. RAG and tools, not a frontier Elo play. Listed so “command a benchmark” has a sourced page.

Community Sentiment

Cast Your Matchup Vote

0 total votes

Community Discussions (0)

No comments posted on this matchup yet. Be the first to share an evaluation note!

Share card

The real PNG is generated at /compare/command-a-vs-gpt-5-4-batch/opengraph-image for crawlers.

PNG

CompareLLM Matrix

Verified head-to-head card

LIVE

Cohere

Command A

Elo 1,344

LiveBench56.2%

SWE-bench42.6%

Speed118 tok/s

Output cost$10/1M

OpenAI

OpenAI: GPT-5.4 (batch)

Elo n/a

LiveBench—

SWE-bench—

Speed—

Output cost$7.5/1M

Frequently Asked Questions

Which is better overall, Command A or OpenAI: GPT-5.4 (batch)?: We do not have preference Elo for both models, so we do not declare an overall winner. Compare the metrics that exist.
Which is better at coding, Command A or OpenAI: GPT-5.4 (batch)?: SWE-bench is missing for at least one model, so we do not rank coding from a single number.
Which is cheaper to run in production?: OpenAI: GPT-5.4 (batch) output tokens are $7.5/1M versus $10/1M. Input prices and retry rates still move the real bill.
Which is faster, Command A or OpenAI: GPT-5.4 (batch)?: We do not have TTFT for both models.
Which has the larger context window?: OpenAI: GPT-5.4 (batch) accepts 1.1M tokens versus 256k.
Can I self-host either model?: Neither model is marked open-weights here. You are comparing hosted APIs.
Are these scores from CompareLLM’s own evals?: No. V1 aggregates public leaderboards (and optional first-party latency pings). Each cell names its source and date. Read /methodology.
What does preference Elo mean on this page?: Preference Elo is a crowd vote from LMArena / Arena. People see two hidden answers and pick the one they like more. The model that wins more often gets a higher Elo. That means people preferred it — not that it passed a school test. It is not SWE-bench, not accuracy, and not a number we invent. Command A and OpenAI: GPT-5.4 (batch) Elo cells are dated snapshots from the named source — we do not compute Arena ourselves.

Similar Head-to-Head Comparisons

All Command A matchups →|All OpenAI: GPT-5.4 (batch) matchups →

GPT-5 vs Command A GPT-4.5 Orion vs Command A GPT-5.6 Sol vs Command A GPT-5.6 Terra vs Command A GPT-4o vs Command A GPT-5 mini vs Command A

Command A vs OpenAI: GPT-5.4 (batch) benchmark

Interactive Comparison Diagram

Matchup Breakdown

Tug-of-War Matchup Matrix

Category wins across intelligence, speed, and pricing efficiency.

Command A (6)vsOpenAI: GPT-5.4 (batch) (3)

Command A: 6W (67%)Overall: Command AOpenAI: GPT-5.4 (batch): 3W (33%)

← Command AOpenAI: GPT-5.4 (batch) →

Command A (4/5)

Intelligence & Reasoning

Preference Elo, Coding proficiency, SWE-bench & LiveBench accuracy

Preference Elo

1,344vs—

Coding Elo

—vs—

SWE-bench

42.6%vs—

LiveBench

56.2%vs—

GPQA Diamond

66%vs—

Command A: 4WOpenAI: GPT-5.4 (batch): 0W

Command A (2/2)

Speed & Latency

Generation throughput and time to first token responsiveness

Output speed

118 tok/svs—

Time to first token

175 msvs—

Command A: 2WOpenAI: GPT-5.4 (batch): 0W

OpenAI: GPT-5.4 (batch) (3/3)

Pricing & Capacity

Cost per million tokens and max context window length

Output price

$10/1Mvs$7.5/1M

Input price

$2.5/1Mvs$1.25/1M

Context window

256kvs1.1M

Command A: 0WOpenAI: GPT-5.4 (batch): 3W

Recommended Workload Routing

Repo / coding agentsinsufficient data

Need SWE-bench on both sides.

High-volume chatOpenAI: GPT-5.4 (batch)

Lower output list price ($7.5/1M).

Voice / low-latency UIinsufficient data

Need TTFT on both sides.

Long-document RAGOpenAI: GPT-5.4 (batch)

Larger window (1.1M).

Screenshots / visionOpenAI: GPT-5.4 (batch)

OpenAI: GPT-5.4 (batch) is the side marked multimodal in the catalog.

Target Workload	Recommended Pick	Evaluation Rationale
Repo / coding agents	insufficient data	Need SWE-bench on both sides.
High-volume chat	OpenAI: GPT-5.4 (batch)	Lower output list price ($7.5/1M).
Voice / low-latency UI	insufficient data	Need TTFT on both sides.
Long-document RAG	OpenAI: GPT-5.4 (batch)	Larger window (1.1M).
Screenshots / vision	OpenAI: GPT-5.4 (batch)	OpenAI: GPT-5.4 (batch) is the side marked multimodal in the catalog.

Frequently Asked Questions

Which is better overall, Command A or OpenAI: GPT-5.4 (batch)?

We do not have preference Elo for both models, so we do not declare an overall winner. Compare the metrics that exist.

Which is better at coding, Command A or OpenAI: GPT-5.4 (batch)?

SWE-bench is missing for at least one model, so we do not rank coding from a single number.

Which is cheaper to run in production?

OpenAI: GPT-5.4 (batch) output tokens are $7.5/1M versus $10/1M. Input prices and retry rates still move the real bill.

Which is faster, Command A or OpenAI: GPT-5.4 (batch)?

We do not have TTFT for both models.

Which has the larger context window?

OpenAI: GPT-5.4 (batch) accepts 1.1M tokens versus 256k.

Can I self-host either model?

Neither model is marked open-weights here. You are comparing hosted APIs.

Are these scores from CompareLLM’s own evals?

No. V1 aggregates public leaderboards (and optional first-party latency pings). Each cell names its source and date. Read /methodology.

What does preference Elo mean on this page?

Preference Elo is a crowd vote from LMArena / Arena. People see two hidden answers and pick the one they like more. The model that wins more often gets a higher Elo. That means people preferred it — not that it passed a school test. It is not SWE-bench, not accuracy, and not a number we invent. Command A and OpenAI: GPT-5.4 (batch) Elo cells are dated snapshots from the named source — we do not compute Arena ourselves.

Swap or Add Any Model to this Matchup

Interactive Comparison Diagram

Tug-of-War Matchup Matrix

Intelligence & Reasoning

Speed & Latency

Pricing & Capacity

Multi-Dimensional Capability Radar

No shared data

No shared data

OpenAI: GPT-5.4 (batch)

Full Benchmark Score Matrix

Workload Cost & Savings Calculator

Key Selection Recommendations

Recommended Workload Routing

Related Editorial Dispatches & Benchmark Notes

Command A: Cohere’s enterprise RAG and tool-use row

Cast Your Matchup Vote

Community Discussions (0)

Share card

CompareLLM Matrix

Command A

OpenAI: GPT-5.4 (batch)

Frequently Asked Questions

Related news

Similar Head-to-Head Comparisons

Swap or Add Any Model to this Matchup

Interactive Comparison Diagram

Tug-of-War Matchup Matrix

Intelligence & Reasoning

Speed & Latency

Pricing & Capacity

Multi-Dimensional Capability Radar

No shared data

No shared data

OpenAI: GPT-5.4 (batch)

Full Benchmark Score Matrix

Workload Cost & Savings Calculator

Key Selection Recommendations

Recommended Workload Routing

Related Editorial Dispatches & Benchmark Notes

Command A: Cohere’s enterprise RAG and tool-use row

Cast Your Matchup Vote

Community Discussions (0)

Share card

CompareLLM Matrix

Command A

OpenAI: GPT-5.4 (batch)

Frequently Asked Questions

Related news

Similar Head-to-Head Comparisons