Pairwise benchmark snapshot · Aug 16, 2026

Claude Opus 4.6 vs Command A benchmark

Name: Claude Opus 4.6 vs Command A AI benchmark comparison
Creator: CompareLLM
License: https://creativecommons.org/licenses/by/4.0/

This page compares Claude Opus 4.6 (Anthropic) and Command A (Cohere) using the latest snapshots we have as of Aug 16, 2026. On preference Elo, Claude Opus 4.6 is ahead by 230 points (1,574 vs 1,344; seed-bootstrap (Aug 1, 2026)). On SWE-bench coding, Claude Opus 4.6 resolves 75.9% 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). Claude Opus 4.6 has the larger context window (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.

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Anthropic

Claude Opus 4.6

Follow-on Opus release. Slightly behind 4.5 on official SWE-bench bash-only in the last published sweep; stronger long-horizon agent traces.

Elo 1,574$25/1M 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 Sonnet 4.5 vs Claude 3.7 Sonnet vs GPT-5

Interactive Comparison Diagram

Matchup Breakdown

Tug-of-War Matchup Matrix

Category wins across intelligence, speed, and pricing efficiency.

Claude Opus 4.6 (6)vsCommand A (4)

Claude Opus 4.6: 6W (60%)Overall: Claude Opus 4.6Command A: 4W (40%)

← Claude Opus 4.6Command A →

Claude Opus 4.6 (5/5)

Intelligence & Reasoning

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

Preference Elo

1,574vs1,344

Coding Elo

1,570vs—

SWE-bench

75.9%vs42.6%

LiveBench

72%vs56.2%

GPQA Diamond

84.8%vs66%

Claude Opus 4.6: 5WCommand A: 0W

Command A (2/2)

Speed & Latency

Generation throughput and time to first token responsiveness

Output speed

64 tok/svs118 tok/s

Time to first token

360 msvs175 ms

Claude Opus 4.6: 0WCommand A: 2W

Command A (2/3)

Pricing & Capacity

Cost per million tokens and max context window length

Output price

$25/1Mvs$10/1M

Input price

$5/1Mvs$2.5/1M

Context window

1Mvs256k

Claude Opus 4.6: 1WCommand A: 2W

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 AdvantageClaude Opus 4.6 4/6

Preference Elo

Claude Opus 4.6

230 pts advantage

Throughput Speed

Command A

54 tok/s faster

Price Efficiency

Command A

$15.00/1M cheaper

Full Benchmark Score Matrix

—

Elo

High is better

+17%1,574

EloHigh is better

1,344

Code Elo

High is better

1,570

Code EloHigh is better

—

LiveBench

High is better

+28%72%

LiveBenchHigh is better

56.2%

SWE-bench

High is better

+78%75.9%

SWE-benchHigh is better

42.6%

GPQA

High is better

+28%84.8%

GPQAHigh is better

66%

TTFT

Low is better

360 ms

TTFTLow is better

175 ms+106%

Speed

High is better

64 tok/s

SpeedHigh is better

118 tok/s+84%

In $

Low is better

$5/1M

In $Low is better

$2.5/1M+100%

Out $

Low is better

$25/1M

Out $Low is better

$10/1M+150%

Context

High is better

+291%1M

ContextHigh is better

256k

Interactive Simulator

Workload Cost & Savings Calculator

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

Save up to 57% 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 4.6$550.00 / mo

In: $175.00Out: $375.00

Command A$237.50 / mo

In: $87.50Out: $150.00

Estimated Cost Delta

Command A is estimated to save $312.50/month ($3,750/year).

Based on 50M tokens (30% gen)

Key Selection Recommendations

1
Claude Opus 4.6:Pick Claude Opus 4.6 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 4.6

Higher SWE-bench (75.9%).

High-volume chatCommand A

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

Voice / low-latency UICommand A

Lower TTFT (175 ms).

Long-document RAGClaude Opus 4.6

Larger window (1M).

Screenshots / visionClaude Opus 4.6

Claude Opus 4.6 is the side marked multimodal in the catalog.

Target Workload	Recommended Pick	Evaluation Rationale
Repo / coding agents	Claude Opus 4.6	Higher SWE-bench (75.9%).
High-volume chat	Command A	Lower output list price ($10/1M).
Voice / low-latency UI	Command A	Lower TTFT (175 ms).
Long-document RAG	Claude Opus 4.6	Larger window (1M).
Screenshots / vision	Claude Opus 4.6	Claude Opus 4.6 is the side marked multimodal in the catalog.

Related Editorial Dispatches & Benchmark Notes

View all news

launchMay 10, 2026

Claude Opus 4.6: the May follow-on that still shows up in old bookmarks

Slightly behind 4.5 on one official SWE-bench sweep; stronger long-horizon traces. We keep the row for old vs URLs.

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 4.6

Elo 1,574

LiveBench72%

SWE-bench75.9%

Speed64 tok/s

Output cost$25/1M

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 4.6 or Command A?: Claude Opus 4.6 has the higher preference Elo in our latest snapshot (1,574). “Better” still depends on coding, price, and latency — see the table.
Which is better at coding, Claude Opus 4.6 or Command A?: Claude Opus 4.6 leads SWE-bench at 75.9% 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 $25/1M. Input prices and retry rates still move the real bill.
Which is faster, Claude Opus 4.6 or Command A?: Command A has the lower time-to-first-token (175 ms vs 360 ms). Tokens/sec is a separate column if you care about long completions.
Which has the larger context window?: Claude Opus 4.6 accepts 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. Claude Opus 4.6 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 4.6 matchups →|All Command A matchups →

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

Claude Opus 4.6 vs Command A benchmark

Interactive Comparison Diagram

Matchup Breakdown

Tug-of-War Matchup Matrix

Category wins across intelligence, speed, and pricing efficiency.

Claude Opus 4.6 (6)vsCommand A (4)

Claude Opus 4.6: 6W (60%)Overall: Claude Opus 4.6Command A: 4W (40%)

← Claude Opus 4.6Command A →

Claude Opus 4.6 (5/5)

Intelligence & Reasoning

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

Preference Elo

1,574vs1,344

Coding Elo

1,570vs—

SWE-bench

75.9%vs42.6%

LiveBench

72%vs56.2%

GPQA Diamond

84.8%vs66%

Claude Opus 4.6: 5WCommand A: 0W

Command A (2/2)

Speed & Latency

Generation throughput and time to first token responsiveness

Output speed

64 tok/svs118 tok/s

Time to first token

360 msvs175 ms

Claude Opus 4.6: 0WCommand A: 2W

Command A (2/3)

Pricing & Capacity

Cost per million tokens and max context window length

Output price

$25/1Mvs$10/1M

Input price

$5/1Mvs$2.5/1M

Context window

1Mvs256k

Claude Opus 4.6: 1WCommand A: 2W

Recommended Workload Routing

Repo / coding agentsClaude Opus 4.6

Higher SWE-bench (75.9%).

High-volume chatCommand A

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

Voice / low-latency UICommand A

Lower TTFT (175 ms).

Long-document RAGClaude Opus 4.6

Larger window (1M).

Screenshots / visionClaude Opus 4.6

Claude Opus 4.6 is the side marked multimodal in the catalog.

Target Workload	Recommended Pick	Evaluation Rationale
Repo / coding agents	Claude Opus 4.6	Higher SWE-bench (75.9%).
High-volume chat	Command A	Lower output list price ($10/1M).
Voice / low-latency UI	Command A	Lower TTFT (175 ms).
Long-document RAG	Claude Opus 4.6	Larger window (1M).
Screenshots / vision	Claude Opus 4.6	Claude Opus 4.6 is the side marked multimodal in the catalog.

Frequently Asked Questions

Which is better overall, Claude Opus 4.6 or Command A?

Claude Opus 4.6 has the higher preference Elo in our latest snapshot (1,574). “Better” still depends on coding, price, and latency — see the table.

Which is better at coding, Claude Opus 4.6 or Command A?

Claude Opus 4.6 leads SWE-bench at 75.9% 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 $25/1M. Input prices and retry rates still move the real bill.

Which is faster, Claude Opus 4.6 or Command A?

Command A has the lower time-to-first-token (175 ms vs 360 ms). Tokens/sec is a separate column if you care about long completions.

Which has the larger context window?

Claude Opus 4.6 accepts 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. Claude Opus 4.6 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 4.6

Command A

Command A

Full Benchmark Score Matrix

Workload Cost & Savings Calculator

Key Selection Recommendations

Recommended Workload Routing

Related Editorial Dispatches & Benchmark Notes

Claude Opus 4.6: the May follow-on that still shows up in old bookmarks

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

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Claude Opus 4.6

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 4.6

Command A

Command A

Full Benchmark Score Matrix

Workload Cost & Savings Calculator

Key Selection Recommendations

Recommended Workload Routing

Related Editorial Dispatches & Benchmark Notes

Claude Opus 4.6: the May follow-on that still shows up in old bookmarks

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

Cast Your Matchup Vote

Community Discussions (0)

Share card

CompareLLM Matrix

Claude Opus 4.6

Command A

Frequently Asked Questions

Related news

Similar Head-to-Head Comparisons