Command A vs DeepSeek R1

At a Glance

Compare
Command ACohere
DeepSeek R1DeepSeek
Pricing and Limits
Input priceFrom · USD / 1M tokens$2.50Cohere · Aug 29, 2026$0.70Openrouter · Aug 28, 2026
Output priceFrom · USD / 1M tokens$10.00Cohere · Aug 29, 2026$2.50Openrouter · Aug 28, 2026
Context windowMaximum documented tokens256K164K
Model facts checkedAug 29, 2026View model evidence →Aug 28, 2026View model evidence →

Token prices are the lowest available sourced USD rates; input and output may use different providers. Cost ranking estimates output spend on LiveBench, not a full request bill. Ranking methodology →

Available Benchmarks

All benchmark results →
BenchmarkCommand ADeepSeek-R1
LMArena Text Arenatext-2026-09-13-d25aabda0010 · arena_rating · leader1,330.8797% of row best · rating · command-a-03-2025; 95% CI [1327.41159924, 1334.32729730]; votes 55449; rank 2111,372.60100% of row best · rating · deepseek-r1; 95% CI [1367.75270193, 1377.44238946]; votes 18524; rank 168
Overall ResultCounted from the protocol-matched rows above0 benchmark winsNo overall winner1 benchmark winNo overall winner

Third-party benchmark Only like-for-like primary-publisher results are shown; raw scores, relative scores, configuration, and token spend remain visible.

Side-by-Side Facts

FieldCommand ADeepSeek-R1
DeveloperCohereDeepSeek
FamilyCommand ADeepseek R1
ModelCommand ADeepSeek-R1
VersionCommand ADeepSeek-R1
Lifecycleactiveactive
ReleasedUnknown2025-01-20
Knowledge cutoff2024-06-01Unknown
Input modalitiesTextText
Output modalitiesTextText
Context window256K164K
Total parameters111B684.5B
Active parametersUnknown37B
LicenseUnknownmit
Open weightsNoYes
API availableYesYes
Self-hostableNoYes
Provider accessCohere (Standard)Hugging Face (Standard), Openrouter (Standard)
Capabilitiesagents, chat, citations, multilingual, rag, structured_outputs, toolschat, generation, reasoning

Command A Capabilities

agentschatcitationsmultilingualragstructured outputstools
Serving providers1
Canonical IDcoherelabs/command-a-03-2025

DeepSeek R1 Capabilities

chatgenerationreasoning
Serving providers2
Canonical IDdeepseek-ai/DeepSeek-R1

Primary Evidence

Sources and Freshness

Questions

Command A vs DeepSeek R1 FAQs

Is Command A or DeepSeek R1 better for coding?+

This comparison does not currently contain a protocol-matched coding benchmark for both Command A and DeepSeek R1, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.

Which is cheaper, Command A or DeepSeek R1?+

Command A is $2.50 and DeepSeek R1 is $0.70 per million tokens, so DeepSeek R1 is cheaper on this metric. Command A is $10.00 and DeepSeek R1 is $2.50 per million tokens, so DeepSeek R1 is cheaper on this metric.

Which has a larger context window, Command A or DeepSeek R1?+

Command A has the larger sourced context window. Command A supports 256K and DeepSeek R1 supports 164K.

Which performs better in benchmarks, Command A or DeepSeek R1?+

There is no overall benchmark winner: At least two independently verified, protocol-matched benchmarks are required for an overall winner.

Can Command A or DeepSeek R1 be self-hosted?+

DeepSeek R1 is the only model in this pair currently marked as self-hostable. Command A is not marked open weight; DeepSeek R1 is open weight.

Can Command A and DeepSeek R1 understand images?+

Command A is not documented with image input; DeepSeek R1 is not documented with image input. This reflects supported input modalities, not vision quality.

Which can generate longer answers, Command A or DeepSeek R1?+

DeepSeek R1 has the larger sourced maximum output: Command A supports 8K and DeepSeek R1 supports 33K output tokens.

Do Command A and DeepSeek R1 support reasoning and tool use?+

Command A: tool calling. DeepSeek R1: reasoning. Feature support does not establish relative quality.

Which is available from more inference providers, Command A or DeepSeek R1?+

Command A has 1 sourced provider route; DeepSeek R1 has 2, so DeepSeek R1 has broader tracked availability.

Which offers better value, Command A or DeepSeek R1?+

There is no universal value winner. Compare the input and output prices above with the matched benchmark result for your workload: cheaper tokens can be offset by different quality, token usage, latency, or provider availability.

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