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© 2026 CompareLLM. Public benchmark data aggregated from Arena Elo, LiveBench, SWE-bench & OpenRouter.

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  3. Command A: Cohere’s enterprise RAG and tool-use row
Command A: Cohere’s enterprise RAG and tool-use row
launchVerified Dispatch
CompareLLM Intelligence Desk·Mar 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.

Search intent: cohere command a benchmark

Evaluated Models (1):
Command ACohere
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Verified Benchmark Scorecard

Command A Performance & Efficiency Dashboard

Live benchmark scores, throughput speeds, and token pricing with dynamic peer comparison.

LMSYS Arena Elo1,344Command A
SWE-bench Verified42.6%Coding resolve %
Throughput Speed118 tok/sGeneration rate
Output Price / 1M$10.00List rate
Interactive Model Comparison:1 model selected
Command AArticle
LMSYS Arena EloOverall human preference
quality
Command A
1,344
SWE-bench VerifiedGitHub issue resolve %
quality
Command A
42.6%
GPQA DiamondPhD-level science reasoning %
quality
Command A
66%
LiveBenchContamination-free reasoning
quality
Command A
56.2%
Throughput (Speed)Output tokens / second
speed
Command A
118 tok/s
Time-to-First-TokenInitial latency (ms)
speed
Command A
175 ms
Output Token Price$ per 1M reply tokens
price
Command A
$10/1M
Input Token Price$ per 1M prompt tokens
price
Command A
$2.5/1M
Context WindowMax token capacity
capacity
Command A
256k
Benchmark / Metric
Command ACohere · Article Model
LMSYS Arena EloOverall human preference
1,344
SWE-bench VerifiedGitHub issue resolve %
42.6%
GPQA DiamondPhD-level science reasoning %
66%
LiveBenchContamination-free reasoning
56.2%
Throughput (Speed)Output tokens / second
118 tok/s
Time-to-First-TokenInitial latency (ms)
175 ms
Output Token Price$ per 1M reply tokens
$10/1M
Input Token Price$ per 1M prompt tokens
$2.5/1M
Context WindowMax token capacity
256k
Executive Key Takeaway
Mar 2025. RAG and tools, not a frontier Elo play. Listed so “command a benchmark” has a sourced page.

Command A is Cohere’s enterprise RAG and tool-use model. It will not win cheapest-frontier. It exists on CompareLLM because procurement teams search the name and deserve a dated price, context window, and Elo cell instead of a landing page. Best-llm-for-rag is the honest hub — window and input price first.

Enterprise features are not metrics

SSO, VPC, and connectors do not fit in a snapshot. We will not fake a “enterprise score.”

Empirical Evaluation & Architectural Analysis

Empirical evaluations recorded across the CompareLLM Leaderboard highlight how parameter scaling and inference optimization impact production throughput and cost-per-token economics. Reference the interactive scorecard above for verified snapshots or inspect the dedicated command-a dossier.

Compare on RAG columns

Against Gemini Pro-class and Kimi, look at context and input $/1M. Against Sonnet, look at whether you actually need Claude coding.

Strategic Deployment Recommendation

  • Production Workloads: For enterprise workloads requiring strict reliability, cross-reference Top Coding LLMs and Cheapest High-Quality LLMs.
  • Direct Pair Comparison: Explore the live pairwise breakdown at /best/best-llm-for-rag.
  • Architectural Stacks: Recommended architectural configurations can be evaluated on the CompareLLM Stack Engine.

Frequently Asked Questions

Is this an CompareLLM lab test score? No. Linked model dossiers and compare showdowns reflect dated snapshots gathered from named public evaluation benchmarks. Seed catalog entries remain transparently timestamped until daily ingest updates them.

Where can I see live comparisons for this model? View the showdown at /best/best-llm-for-rag.

What primary search query does this briefing answer? cohere command a benchmark.

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Head-to-Head Showdowns for Mentioned Models

Benchmark MatchupCommand A vs Claude Opus 4.5
Benchmark MatchupCommand A vs Claude Opus 4.6
Back to All DispatchesExplore Comparison Matrix