Pairwise benchmark snapshot · Aug 16, 2026

Claude Opus 4 vs Command A benchmark

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

This page compares Claude Opus 4 (Anthropic) and Command A (Cohere) using the latest snapshots we have as of Aug 16, 2026. On preference Elo, Claude Opus 4 is ahead by 146 points (1,490 vs 1,344; seed-bootstrap (Aug 1, 2026)). On SWE-bench coding, Claude Opus 4 resolves 72.5% versus 42.6% (seed-bootstrap (Aug 1, 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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Anthropic

Claude Opus 4

First Claude 4 Opus generation. Baseline for opus 4 vs opus 5.

Elo 1,490$75/1M out

Cohere

Command A

Cohere enterprise RAG and tool-use model.

Elo 1,344$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.

Claude Opus 4 (5)vsCommand A (5)

Claude Opus 4: 5W (50%)Overall: Even matchupCommand A: 5W (50%)

← Claude Opus 4Command A →

Claude Opus 4 (5/5)

Intelligence & Reasoning

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

Preference Elo

1,490vs1,344

Coding Elo

1,502vs—

SWE-bench

72.5%vs42.6%

LiveBench

66.8%vs56.2%

GPQA Diamond

80.4%vs66%

Claude Opus 4: 5WCommand A: 0W

Command A (2/2)

Speed & Latency

Generation throughput and time to first token responsiveness

Output speed

58 tok/svs118 tok/s

Time to first token

390 msvs175 ms

Claude Opus 4: 0WCommand A: 2W

Command A (3/3)

Pricing & Capacity

Cost per million tokens and max context window length

Output price

$75/1Mvs$10/1M

Input price

$15/1Mvs$2.5/1M

Context window

200kvs256k

Claude Opus 4: 0WCommand A: 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 AdvantageEven 3–3

Preference Elo

Claude Opus 4

146 pts advantage

Throughput Speed

Command A

60 tok/s faster

Price Efficiency

Command A

$65.00/1M cheaper

Full Benchmark Score Matrix

—

Elo

High is better

+11%1,490

EloHigh is better

1,344

Code Elo

High is better

1,502

Code EloHigh is better

—

LiveBench

High is better

+19%66.8%

LiveBenchHigh is better

56.2%

SWE-bench

High is better

+70%72.5%

SWE-benchHigh is better

42.6%

GPQA

High is better

+22%80.4%

GPQAHigh is better

66%

TTFT

Low is better

390 ms

TTFTLow is better

175 ms+123%

Speed

High is better

58 tok/s

SpeedHigh is better

118 tok/s+103%

In $

Low is better

$15/1M

In $Low is better

$2.5/1M+500%

Out $

Low is better

$75/1M

Out $Low is better

$10/1M+650%

Context

High is better

200k

ContextHigh is better

256k+28%

Interactive Simulator

Workload Cost & Savings Calculator

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

Save up to 86% with Command A

Monthly Volume50M tokens/mo

Quick Presets:

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

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

Claude Opus 4$1,650.00 / mo

In: $525.00Out: $1125.00

Command A$237.50 / mo

In: $87.50Out: $150.00

Estimated Cost Delta

Command A is estimated to save $1,412.50/month ($16,950/year).

Based on 50M tokens (30% gen)

Key Selection Recommendations

1
Claude Opus 4:Pick Claude Opus 4 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 agentsClaude Opus 4

Higher SWE-bench (72.5%).

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 / visionClaude Opus 4

Claude Opus 4 is the side marked multimodal in the catalog.

Target Workload	Recommended Pick	Evaluation Rationale
Repo / coding agents	Claude Opus 4	Higher SWE-bench (72.5%).
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	Claude Opus 4	Claude Opus 4 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.

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LIVE

Anthropic

Claude Opus 4

Elo 1,490

LiveBench66.8%

SWE-bench72.5%

Speed58 tok/s

Output cost$75/1M

Cohere

Command A

Elo 1,344

LiveBench56.2%

SWE-bench42.6%

Speed118 tok/s

Output cost$10/1M

Frequently Asked Questions

Which is better overall, Claude Opus 4 or Command A?: Claude Opus 4 has the higher preference Elo in our latest snapshot (1,490). “Better” still depends on coding, price, and latency — see the table.
Which is better at coding, Claude Opus 4 or Command A?: Claude Opus 4 leads SWE-bench at 72.5% 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 $75/1M. Input prices and retry rates still move the real bill.
Which is faster, Claude Opus 4 or Command A?: Command A has the lower time-to-first-token (175 ms vs 390 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 200k.
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. Claude Opus 4 and Command A Elo cells are dated snapshots from the named source — we do not compute Arena ourselves.

Similar Head-to-Head Comparisons

All Claude Opus 4 matchups →|All Command A matchups →

Claude Opus 4 vs Claude 3 Opus (previous opus)Claude Opus 4 vs Claude Opus 4.5 (next opus)Claude Sonnet 4.5 vs Claude Opus 4 Claude Sonnet 5 vs Claude Opus 4 Claude Opus 4.6 vs Claude Opus 4 Claude Opus 4.8 vs Claude Opus 4

Claude Opus 4 vs Command A benchmark

Interactive Comparison Diagram

Matchup Breakdown

Tug-of-War Matchup Matrix

Category wins across intelligence, speed, and pricing efficiency.

Claude Opus 4 (5)vsCommand A (5)

Claude Opus 4: 5W (50%)Overall: Even matchupCommand A: 5W (50%)

← Claude Opus 4Command A →

Claude Opus 4 (5/5)

Intelligence & Reasoning

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

Preference Elo

1,490vs1,344

Coding Elo

1,502vs—

SWE-bench

72.5%vs42.6%

LiveBench

66.8%vs56.2%

GPQA Diamond

80.4%vs66%

Claude Opus 4: 5WCommand A: 0W

Command A (2/2)

Speed & Latency

Generation throughput and time to first token responsiveness

Output speed

58 tok/svs118 tok/s

Time to first token

390 msvs175 ms

Claude Opus 4: 0WCommand A: 2W

Command A (3/3)

Pricing & Capacity

Cost per million tokens and max context window length

Output price

$75/1Mvs$10/1M

Input price

$15/1Mvs$2.5/1M

Context window

200kvs256k

Claude Opus 4: 0WCommand A: 3W

Recommended Workload Routing

Repo / coding agentsClaude Opus 4

Higher SWE-bench (72.5%).

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 / visionClaude Opus 4

Claude Opus 4 is the side marked multimodal in the catalog.

Target Workload	Recommended Pick	Evaluation Rationale
Repo / coding agents	Claude Opus 4	Higher SWE-bench (72.5%).
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	Claude Opus 4	Claude Opus 4 is the side marked multimodal in the catalog.

Frequently Asked Questions

Which is better overall, Claude Opus 4 or Command A?

Claude Opus 4 has the higher preference Elo in our latest snapshot (1,490). “Better” still depends on coding, price, and latency — see the table.

Which is better at coding, Claude Opus 4 or Command A?

Claude Opus 4 leads SWE-bench at 72.5% 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 $75/1M. Input prices and retry rates still move the real bill.

Which is faster, Claude Opus 4 or Command A?

Command A has the lower time-to-first-token (175 ms vs 390 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 200k.

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. Claude Opus 4 and Command A 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

Claude Opus 4

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

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Claude Opus 4

Command A

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

Claude Opus 4

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

Cast Your Matchup Vote

Community Discussions (0)

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CompareLLM Matrix

Claude Opus 4

Command A

Frequently Asked Questions

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