Pairwise benchmark snapshot · Aug 17, 2026

Command A vs DeepSeek V3 benchmark

Name: Command A vs DeepSeek V3 AI benchmark comparison
Creator: CompareLLM
License: https://creativecommons.org/licenses/by/4.0/

This page compares Command A (Cohere) and DeepSeek V3 (DeepSeek) using the latest snapshots we have as of Aug 17, 2026. On preference Elo, Command A is ahead by 34 points (1,344 vs 1,310; lmarena (Aug 17, 2026)). On SWE-bench coding, DeepSeek V3 resolves 48.6% versus 42.6% (swebench (Aug 17, 2026)). Command A streams faster (118 tok/s) while DeepSeek V3 is the cheaper output token ($1.03/1M). 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

DeepSeek

DeepSeek V3

Prior DeepSeek flagship. Baseline for v3 vs v4.

Elo 1,310$1.0287/1M 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 (6)vsDeepSeek V3 (3)

Command A: 6W (67%)Overall: Command ADeepSeek V3: 3W (33%)

← Command ADeepSeek V3 →

Command A (3/5)

Intelligence & Reasoning

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

Preference Elo

1,344vs1,310

Coding Elo

—vs—

SWE-bench

42.6%vs48.6%

LiveBench

56.2%vs55.4%

GPQA Diamond

66%vs59.1%

Command A: 3WDeepSeek V3: 1W

Command A (2/2)

Speed & Latency

Generation throughput and time to first token responsiveness

Output speed

118 tok/svs66 tok/s

Time to first token

175 msvs380 ms

Command A: 2WDeepSeek V3: 0W

DeepSeek V3 (2/3)

Pricing & Capacity

Cost per million tokens and max context window length

Output price

$10/1Mvs$1.03/1M

Input price

$2.5/1Mvs$0.26/1M

Context window

256kvs164k

Command A: 1WDeepSeek V3: 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 AdvantageCommand A 4/6

Preference Elo

Command A

34 pts advantage

Throughput Speed

Command A

52 tok/s faster

Price Efficiency

DeepSeek V3

$8.97/1M cheaper

Full Benchmark Score Matrix

—

Elo

High is better

+3%1,344

EloHigh is better

1,310

LiveBench

High is better

+1%56.2%

LiveBenchHigh is better

55.4%

SWE-bench

High is better

42.6%

SWE-benchHigh is better

48.6%+14%

GPQA

High is better

+12%66%

GPQAHigh is better

59.1%

TTFT

Low is better

+117%175 ms

TTFTLow is better

380 ms

Speed

High is better

+79%118 tok/s

SpeedHigh is better

66 tok/s

In $

Low is better

$2.5/1M

In $Low is better

$0.26/1M+871%

Out $

Low is better

$10/1M

Out $Low is better

$1.03/1M+872%

Context

High is better

+56%256k

ContextHigh is better

164k

Interactive Simulator

Workload Cost & Savings Calculator

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

Save up to 90% with DeepSeek V3

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

DeepSeek V3$24.44 / mo

In: $9.01Out: $15.43

Estimated Cost Delta

DeepSeek V3 is estimated to save $213.06/month ($2,557/year).

Based on 50M tokens (30% gen)

Key Selection Recommendations

1
DeepSeek V3:Pick DeepSeek V3 when repo-level coding accuracy is the constraint.
2
Command A:Pick Command A when time-to-first-token matters more than peak Elo.
3
Command A:Pick Command A as the default general assistant.

Recommended Workload Routing

Repo / coding agentsDeepSeek V3

Higher SWE-bench (48.6%).

High-volume chatDeepSeek V3

Lower output list price ($1.03/1M).

Voice / low-latency UICommand A

Lower TTFT (175 ms).

Long-document RAGCommand A

Larger window (256k).

Screenshots / visionCommand A

Command A is the side marked multimodal in the catalog.

Target Workload	Recommended Pick	Evaluation Rationale
Repo / coding agents	DeepSeek V3	Higher SWE-bench (48.6%).
High-volume chat	DeepSeek V3	Lower output list price ($1.03/1M).
Voice / low-latency UI	Command A	Lower TTFT (175 ms).
Long-document RAG	Command A	Larger window (256k).
Screenshots / vision	Command A	Command A 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

Cohere

Command A

Elo 1,344

LiveBench56.2%

SWE-bench42.6%

Speed118 tok/s

Output cost$10/1M

DeepSeek

DeepSeek V3

Elo 1,310

LiveBench55.4%

SWE-bench48.6%

Speed66 tok/s

Output cost$1.03/1M

Frequently Asked Questions

Which is better overall, Command A or DeepSeek V3?: 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 DeepSeek V3?: DeepSeek V3 leads SWE-bench at 48.6% vs 42.6%. SWE-bench is one harness, not your repo.
Which is cheaper to run in production?: DeepSeek V3 output tokens are $1.03/1M versus $10/1M. Input prices and retry rates still move the real bill.
Which is faster, Command A or DeepSeek V3?: Command A has the lower time-to-first-token (175 ms vs 380 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 164k.
Can I self-host either model?: DeepSeek V3 is marked open-weights in our catalog. The other side is a closed API. Check the provider license before you ship weights.
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 DeepSeek V3 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 DeepSeek V3 matchups →

DeepSeek V3 vs DeepSeek Coder V2 (previous deepseek)DeepSeek V3 vs DeepSeek R1 (next deepseek)DeepSeek V4 Flash vs Command A DeepSeek V4 Pro vs Command A DeepSeek R1 vs Command A DeepSeek Coder V2 vs Command A

Command A vs DeepSeek V3 benchmark

Interactive Comparison Diagram

Matchup Breakdown

Tug-of-War Matchup Matrix

Category wins across intelligence, speed, and pricing efficiency.

Command A (6)vsDeepSeek V3 (3)

Command A: 6W (67%)Overall: Command ADeepSeek V3: 3W (33%)

← Command ADeepSeek V3 →

Command A (3/5)

Intelligence & Reasoning

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

Preference Elo

1,344vs1,310

Coding Elo

—vs—

SWE-bench

42.6%vs48.6%

LiveBench

56.2%vs55.4%

GPQA Diamond

66%vs59.1%

Command A: 3WDeepSeek V3: 1W

Command A (2/2)

Speed & Latency

Generation throughput and time to first token responsiveness

Output speed

118 tok/svs66 tok/s

Time to first token

175 msvs380 ms

Command A: 2WDeepSeek V3: 0W

DeepSeek V3 (2/3)

Pricing & Capacity

Cost per million tokens and max context window length

Output price

$10/1Mvs$1.03/1M

Input price

$2.5/1Mvs$0.26/1M

Context window

256kvs164k

Command A: 1WDeepSeek V3: 2W

Recommended Workload Routing

Repo / coding agentsDeepSeek V3

Higher SWE-bench (48.6%).

High-volume chatDeepSeek V3

Lower output list price ($1.03/1M).

Voice / low-latency UICommand A

Lower TTFT (175 ms).

Long-document RAGCommand A

Larger window (256k).

Screenshots / visionCommand A

Command A is the side marked multimodal in the catalog.

Target Workload	Recommended Pick	Evaluation Rationale
Repo / coding agents	DeepSeek V3	Higher SWE-bench (48.6%).
High-volume chat	DeepSeek V3	Lower output list price ($1.03/1M).
Voice / low-latency UI	Command A	Lower TTFT (175 ms).
Long-document RAG	Command A	Larger window (256k).
Screenshots / vision	Command A	Command A is the side marked multimodal in the catalog.

Frequently Asked Questions

Which is better overall, Command A or DeepSeek V3?

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 DeepSeek V3?

DeepSeek V3 leads SWE-bench at 48.6% vs 42.6%. SWE-bench is one harness, not your repo.

Which is cheaper to run in production?

DeepSeek V3 output tokens are $1.03/1M versus $10/1M. Input prices and retry rates still move the real bill.

Which is faster, Command A or DeepSeek V3?

Command A has the lower time-to-first-token (175 ms vs 380 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 164k.

Can I self-host either model?

DeepSeek V3 is marked open-weights in our catalog. The other side is a closed API. Check the provider license before you ship weights.

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 DeepSeek V3 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

DeepSeek V3

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

Command A

DeepSeek V3

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

DeepSeek V3

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

Command A

DeepSeek V3

Frequently Asked Questions

Related news

Similar Head-to-Head Comparisons