Pairwise benchmark snapshot · Aug 17, 2026

Claude Sonnet 4 vs Command A benchmark

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

This page compares Claude Sonnet 4 (Anthropic) and Command A (Cohere) using the latest snapshots we have as of Aug 17, 2026. On preference Elo, Claude Sonnet 4 is ahead by 111 points (1,455 vs 1,344; lmarena (Aug 17, 2026)). On SWE-bench coding, Claude Sonnet 4 resolves 62.8% versus 42.6% (swebench (Aug 17, 2026)). Command A streams faster (118 tok/s) while Command A is the cheaper output token ($10/1M). Claude Sonnet 4 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 Sonnet 4

First Sonnet 4 generation. Bridge between 3.5/3.7 and Sonnet 5.

Elo 1,455$15/1M 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 Sonnet 4 (6)vsCommand A (4)

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

← Claude Sonnet 4Command A →

Claude Sonnet 4 (5/5)

Intelligence & Reasoning

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

Preference Elo

1,455vs1,344

Coding Elo

1,468vs—

SWE-bench

62.8%vs42.6%

LiveBench

63.2%vs56.2%

GPQA Diamond

76.4%vs66%

Claude Sonnet 4: 5WCommand A: 0W

Command A (2/2)

Speed & Latency

Generation throughput and time to first token responsiveness

Output speed

92 tok/svs118 tok/s

Time to first token

220 msvs175 ms

Claude Sonnet 4: 0WCommand A: 2W

Command A (2/3)

Pricing & Capacity

Cost per million tokens and max context window length

Output price

$15/1Mvs$10/1M

Input price

$3/1Mvs$2.5/1M

Context window

1Mvs256k

Claude Sonnet 4: 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 Sonnet 4 4/6

Preference Elo

Claude Sonnet 4

111 pts advantage

Throughput Speed

Command A

26 tok/s faster

Price Efficiency

Command A

$5.00/1M cheaper

Full Benchmark Score Matrix

—

Elo

High is better

+8%1,455

EloHigh is better

1,344

Code Elo

High is better

1,468

Code EloHigh is better

—

LiveBench

High is better

+12%63.2%

LiveBenchHigh is better

56.2%

SWE-bench

High is better

+47%62.8%

SWE-benchHigh is better

42.6%

GPQA

High is better

+16%76.4%

GPQAHigh is better

66%

TTFT

Low is better

220 ms

TTFTLow is better

175 ms+26%

Speed

High is better

92 tok/s

SpeedHigh is better

118 tok/s+28%

In $

Low is better

$3/1M

In $Low is better

$2.5/1M+20%

Out $

Low is better

$15/1M

Out $Low is better

$10/1M+50%

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 28% 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 Sonnet 4$330.00 / mo

In: $105.00Out: $225.00

Command A$237.50 / mo

In: $87.50Out: $150.00

Estimated Cost Delta

Command A is estimated to save $92.50/month ($1,110/year).

Based on 50M tokens (30% gen)

Key Selection Recommendations

1
Claude Sonnet 4:Pick Claude Sonnet 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 Sonnet 4

Higher SWE-bench (62.8%).

High-volume chatCommand A

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

Voice / low-latency UICommand A

Lower TTFT (175 ms).

Long-document RAGClaude Sonnet 4

Larger window (1M).

Screenshots / visionClaude Sonnet 4

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

Target Workload	Recommended Pick	Evaluation Rationale
Repo / coding agents	Claude Sonnet 4	Higher SWE-bench (62.8%).
High-volume chat	Command A	Lower output list price ($10/1M).
Voice / low-latency UI	Command A	Lower TTFT (175 ms).
Long-document RAG	Claude Sonnet 4	Larger window (1M).
Screenshots / vision	Claude Sonnet 4	Claude Sonnet 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 Sonnet 4

Elo 1,455

LiveBench63.2%

SWE-bench62.8%

Speed92 tok/s

Output cost$15/1M

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 Sonnet 4 or Command A?: Claude Sonnet 4 has the higher preference Elo in our latest snapshot (1,455). “Better” still depends on coding, price, and latency — see the table.
Which is better at coding, Claude Sonnet 4 or Command A?: Claude Sonnet 4 leads SWE-bench at 62.8% 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 $15/1M. Input prices and retry rates still move the real bill.
Which is faster, Claude Sonnet 4 or Command A?: Command A has the lower time-to-first-token (175 ms vs 220 ms). Tokens/sec is a separate column if you care about long completions.
Which has the larger context window?: Claude Sonnet 4 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 Sonnet 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 Sonnet 4 matchups →|All Command A matchups →

Claude Sonnet 4 vs Claude 3.7 Sonnet (previous sonnet)Claude Sonnet 4 vs Claude Sonnet 4.5 (next sonnet)Claude Sonnet 5 vs Claude Sonnet 4 Claude Opus 4.5 vs Claude Sonnet 4 Claude Opus 4.6 vs Claude Sonnet 4 Claude Opus 4.8 vs Claude Sonnet 4

Claude Sonnet 4 vs Command A benchmark

Interactive Comparison Diagram

Matchup Breakdown

Tug-of-War Matchup Matrix

Category wins across intelligence, speed, and pricing efficiency.

Claude Sonnet 4 (6)vsCommand A (4)

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

← Claude Sonnet 4Command A →

Claude Sonnet 4 (5/5)

Intelligence & Reasoning

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

Preference Elo

1,455vs1,344

Coding Elo

1,468vs—

SWE-bench

62.8%vs42.6%

LiveBench

63.2%vs56.2%

GPQA Diamond

76.4%vs66%

Claude Sonnet 4: 5WCommand A: 0W

Command A (2/2)

Speed & Latency

Generation throughput and time to first token responsiveness

Output speed

92 tok/svs118 tok/s

Time to first token

220 msvs175 ms

Claude Sonnet 4: 0WCommand A: 2W

Command A (2/3)

Pricing & Capacity

Cost per million tokens and max context window length

Output price

$15/1Mvs$10/1M

Input price

$3/1Mvs$2.5/1M

Context window

1Mvs256k

Claude Sonnet 4: 1WCommand A: 2W

Recommended Workload Routing

Repo / coding agentsClaude Sonnet 4

Higher SWE-bench (62.8%).

High-volume chatCommand A

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

Voice / low-latency UICommand A

Lower TTFT (175 ms).

Long-document RAGClaude Sonnet 4

Larger window (1M).

Screenshots / visionClaude Sonnet 4

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

Target Workload	Recommended Pick	Evaluation Rationale
Repo / coding agents	Claude Sonnet 4	Higher SWE-bench (62.8%).
High-volume chat	Command A	Lower output list price ($10/1M).
Voice / low-latency UI	Command A	Lower TTFT (175 ms).
Long-document RAG	Claude Sonnet 4	Larger window (1M).
Screenshots / vision	Claude Sonnet 4	Claude Sonnet 4 is the side marked multimodal in the catalog.

Frequently Asked Questions

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

Claude Sonnet 4 has the higher preference Elo in our latest snapshot (1,455). “Better” still depends on coding, price, and latency — see the table.

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

Claude Sonnet 4 leads SWE-bench at 62.8% 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 $15/1M. Input prices and retry rates still move the real bill.

Which is faster, Claude Sonnet 4 or Command A?

Command A has the lower time-to-first-token (175 ms vs 220 ms). Tokens/sec is a separate column if you care about long completions.

Which has the larger context window?

Claude Sonnet 4 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 Sonnet 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 Sonnet 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 Sonnet 4

Command A

Frequently Asked Questions

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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 Sonnet 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

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Claude Sonnet 4

Command A

Frequently Asked Questions

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