Pairwise benchmark snapshot · Aug 17, 2026

Command A vs GPT-4o benchmark

Name: Command A vs GPT-4o AI benchmark comparison
Creator: CompareLLM
License: https://creativecommons.org/licenses/by/4.0/

This page compares Command A (Cohere) and GPT-4o (OpenAI) using the latest snapshots we have as of Aug 17, 2026. On preference Elo, Command A is ahead by 9 points (1,344 vs 1,335; lmarena (Aug 17, 2026)). On SWE-bench coding, GPT-4o resolves 54.8% versus 42.6% (swebench (Aug 17, 2026)). Command A streams faster (118 tok/s) while Command A is the cheaper output token ($10/1M). Command A has the larger context window (256k 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.

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Cohere

Command A

Cohere enterprise RAG and tool-use model.

Elo 1,344$10/1M out

OpenAI

GPT-4o

Previous OpenAI flagship. Still a common compare baseline on legacy pages.

Elo 1,335$10/1M out

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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 (5)vsGPT-4o (2)

Command A: 5W (71%)Overall: Command AGPT-4o: 2W (29%)

← Command A2 tiesGPT-4o →

Tied (2/5)

Intelligence & Reasoning

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

Preference Elo

1,344vs1,335

Coding Elo

—vs—

SWE-bench

42.6%vs54.8%

LiveBench

56.2%vs54.2%

GPQA Diamond

66%vs73.2%

Command A: 2WGPT-4o: 2W

Command A (2/2)

Speed & Latency

Generation throughput and time to first token responsiveness

Output speed

118 tok/svs110 tok/s

Time to first token

175 msvs180 ms

Command A: 2WGPT-4o: 0W

Command A (1/3)

Pricing & Capacity

Cost per million tokens and max context window length

Output price

$10/1Mvs$10/1M

Input price

$2.5/1Mvs$2.5/1M

Context window

256kvs128k

Command A: 1WGPT-4o: 0W

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 AdvantageGPT-4o 3/6

Preference Elo

Command A

9 pts advantage

Throughput Speed

Command A

8 tok/s faster

Price Efficiency

Command A

Same token price

Full Benchmark Score Matrix

—

Elo

High is better

+1%1,344

EloHigh is better

1,335

LiveBench

High is better

+4%56.2%

LiveBenchHigh is better

54.2%

SWE-bench

High is better

42.6%

SWE-benchHigh is better

54.8%+29%

GPQA

High is better

66%

GPQAHigh is better

73.2%+11%

TTFT

Low is better

+3%175 ms

TTFTLow is better

180 ms

Speed

High is better

+7%118 tok/s

SpeedHigh is better

110 tok/s

In $

Low is better

$2.5/1M

In $Low is better

$2.5/1M

Out $

Low is better

$10/1M

Out $Low is better

$10/1M

Context

High is better

+100%256k

ContextHigh is better

128k

Interactive Simulator

Workload Cost & Savings Calculator

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

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

GPT-4o$237.50 / mo

In: $87.50Out: $150.00

Key Selection Recommendations

1
GPT-4o:Pick GPT-4o when repo-level coding accuracy is the constraint.
2
Command A:Pick Command A when you are optimizing output cost.
3
Command A:Pick Command A when time-to-first-token matters more than peak Elo.

Recommended Workload Routing

Repo / coding agentsGPT-4o

Higher SWE-bench (54.8%).

High-volume chatCommand A

Lower output list price ($10/1M).

Voice / low-latency UICommand A

Lower TTFT (175 ms).

Long-document RAGCommand A

Larger window (256k).

Screenshots / visionGPT-4o

GPT-4o is the side marked multimodal in the catalog.

Target Workload	Recommended Pick	Evaluation Rationale
Repo / coding agents	GPT-4o	Higher SWE-bench (54.8%).
High-volume chat	Command A	Lower output list price ($10/1M).
Voice / low-latency UI	Command A	Lower TTFT (175 ms).
Long-document RAG	Command A	Larger window (256k).
Screenshots / vision	GPT-4o	GPT-4o 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.

newsMay 13, 2024

GPT-4o stays as the 2024 compare anchor people still search

Deprecated for buying. Kept because “4o vs sonnet” is still a typed query.

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LIVE

Cohere

Command A

Elo 1,344

LiveBench56.2%

SWE-bench42.6%

Speed118 tok/s

Output cost$10/1M

OpenAI

GPT-4o

Elo 1,335

LiveBench54.2%

SWE-bench54.8%

Speed110 tok/s

Output cost$10/1M

Frequently Asked Questions

Which is better overall, Command A or GPT-4o?: Command A has the higher preference Elo in our latest snapshot (1,344). “Better” still depends on coding, price, and latency — see the table.
Which is better at coding, Command A or GPT-4o?: GPT-4o leads SWE-bench at 54.8% vs 42.6%. SWE-bench is one harness, not your repo.
Which is cheaper to run in production?: Command A output tokens are $10/1M versus $10/1M. Input prices and retry rates still move the real bill.
Which is faster, Command A or GPT-4o?: Command A has the lower time-to-first-token (175 ms vs 180 ms). Tokens/sec is a separate column if you care about long completions.
Which has the larger context window?: Command A accepts 256k tokens versus 128k.
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 GPT-4o 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 GPT-4o matchups →

GPT-4o vs GPT-4 Turbo (previous gpt-flagship)GPT-4o vs OpenAI: o1 (next gpt-flagship)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

Command A vs GPT-4o benchmark

Interactive Comparison Diagram

Matchup Breakdown

Tug-of-War Matchup Matrix

Category wins across intelligence, speed, and pricing efficiency.

Command A (5)vsGPT-4o (2)

Command A: 5W (71%)Overall: Command AGPT-4o: 2W (29%)

← Command A2 tiesGPT-4o →

Tied (2/5)

Intelligence & Reasoning

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

Preference Elo

1,344vs1,335

Coding Elo

—vs—

SWE-bench

42.6%vs54.8%

LiveBench

56.2%vs54.2%

GPQA Diamond

66%vs73.2%

Command A: 2WGPT-4o: 2W

Command A (2/2)

Speed & Latency

Generation throughput and time to first token responsiveness

Output speed

118 tok/svs110 tok/s

Time to first token

175 msvs180 ms

Command A: 2WGPT-4o: 0W

Command A (1/3)

Pricing & Capacity

Cost per million tokens and max context window length

Output price

$10/1Mvs$10/1M

Input price

$2.5/1Mvs$2.5/1M

Context window

256kvs128k

Command A: 1WGPT-4o: 0W

Recommended Workload Routing

Repo / coding agentsGPT-4o

Higher SWE-bench (54.8%).

High-volume chatCommand A

Lower output list price ($10/1M).

Voice / low-latency UICommand A

Lower TTFT (175 ms).

Long-document RAGCommand A

Larger window (256k).

Screenshots / visionGPT-4o

GPT-4o is the side marked multimodal in the catalog.

Target Workload	Recommended Pick	Evaluation Rationale
Repo / coding agents	GPT-4o	Higher SWE-bench (54.8%).
High-volume chat	Command A	Lower output list price ($10/1M).
Voice / low-latency UI	Command A	Lower TTFT (175 ms).
Long-document RAG	Command A	Larger window (256k).
Screenshots / vision	GPT-4o	GPT-4o is the side marked multimodal in the catalog.

Frequently Asked Questions

Which is better overall, Command A or GPT-4o?

Command A has the higher preference Elo in our latest snapshot (1,344). “Better” still depends on coding, price, and latency — see the table.

Which is better at coding, Command A or GPT-4o?

GPT-4o leads SWE-bench at 54.8% vs 42.6%. SWE-bench is one harness, not your repo.

Which is cheaper to run in production?

Command A output tokens are $10/1M versus $10/1M. Input prices and retry rates still move the real bill.

Which is faster, Command A or GPT-4o?

Command A has the lower time-to-first-token (175 ms vs 180 ms). Tokens/sec is a separate column if you care about long completions.

Which has the larger context window?

Command A accepts 256k tokens versus 128k.

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 GPT-4o 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

Command A

Command A

Command A

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

GPT-4o stays as the 2024 compare anchor people still search

Cast Your Matchup Vote

Community Discussions (0)

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CompareLLM Matrix

Command A

GPT-4o

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

Command A

Command A

Command A

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

GPT-4o stays as the 2024 compare anchor people still search

Cast Your Matchup Vote

Community Discussions (0)

Share card

CompareLLM Matrix

Command A

GPT-4o

Frequently Asked Questions

Related news

Similar Head-to-Head Comparisons