Pairwise benchmark snapshot · Aug 17, 2026noindex (thin pair)

Command A vs Meta: Llama 3.1 8B Instruct benchmark

Name: Command A vs Meta: Llama 3.1 8B Instruct AI benchmark comparison
Creator: CompareLLM
License: https://creativecommons.org/licenses/by/4.0/

This page compares Command A (Cohere) and Meta: Llama 3.1 8B Instruct (Meta) using the latest snapshots we have as of Aug 17, 2026. Meta: Llama 3.1 8B Instruct wins on output price at $0.08/1M. 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

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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 (7)vsMeta: Llama 3.1 8B Instruct (2)

Command A: 7W (78%)Overall: Command AMeta: Llama 3.1 8B Instruct: 2W (22%)

← Command AMeta: Llama 3.1 8B Instruct →

Command A (4/5)

Intelligence & Reasoning

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

Preference Elo

1,344vs—

Coding Elo

—vs—

SWE-bench

42.6%vs—

LiveBench

56.2%vs—

GPQA Diamond

66%vs—

Command A: 4WMeta: Llama 3.1 8B Instruct: 0W

Command A (2/2)

Speed & Latency

Generation throughput and time to first token responsiveness

Output speed

118 tok/svs—

Time to first token

175 msvs—

Command A: 2WMeta: Llama 3.1 8B Instruct: 0W

Meta: Llama 3.1 8B Instruct (2/3)

Pricing & Capacity

Cost per million tokens and max context window length

Output price

$10/1Mvs$0.08/1M

Input price

$2.5/1Mvs$0.05/1M

Context window

256kvs131k

Command A: 1WMeta: Llama 3.1 8B Instruct: 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 5/6

Preference Elo

No shared data

Throughput Speed

No shared data

Price Efficiency

Meta: Llama 3.1 8B Instruct

$9.92/1M cheaper

Full Benchmark Score Matrix

—

Elo

High is better

1,344

EloHigh is better

—

LiveBench

High is better

56.2%

LiveBenchHigh is better

—

SWE-bench

High is better

42.6%

SWE-benchHigh is better

—

GPQA

High is better

66%

GPQAHigh is better

—

TTFT

Low is better

175 ms

TTFTLow is better

—

Speed

High is better

118 tok/s

SpeedHigh is better

—

In $

Low is better

$2.5/1M

In $Low is better

$0.05/1M+4900%

Out $

Low is better

$10/1M

Out $Low is better

$0.08/1M+12400%

Context

High is better

+95%256k

ContextHigh is better

131k

Interactive Simulator

Workload Cost & Savings Calculator

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

Save up to 99% with Meta: Llama 3.1 8B Instruct

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

Meta: Llama 3.1 8B Instruct$2.95 / mo

In: $1.75Out: $1.20

Estimated Cost Delta

Meta: Llama 3.1 8B Instruct is estimated to save $234.55/month ($2,815/year).

Based on 50M tokens (30% gen)

Key Selection Recommendations

1
Meta: Llama 3.1 8B Instruct:Pick Meta: Llama 3.1 8B Instruct when you are optimizing output cost.

Recommended Workload Routing

Repo / coding agentsinsufficient data

Need SWE-bench on both sides.

High-volume chatMeta: Llama 3.1 8B Instruct

Lower output list price ($0.08/1M).

Voice / low-latency UIinsufficient data

Need TTFT on both sides.

Long-document RAGCommand A

Larger window (256k).

Screenshots / visionMeta: Llama 3.1 8B Instruct

Meta: Llama 3.1 8B Instruct is the side marked multimodal in the catalog.

Target Workload	Recommended Pick	Evaluation Rationale
Repo / coding agents	insufficient data	Need SWE-bench on both sides.
High-volume chat	Meta: Llama 3.1 8B Instruct	Lower output list price ($0.08/1M).
Voice / low-latency UI	insufficient data	Need TTFT on both sides.
Long-document RAG	Command A	Larger window (256k).
Screenshots / vision	Meta: Llama 3.1 8B Instruct	Meta: Llama 3.1 8B Instruct 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

Meta: Llama 3.1 8B Instruct

Elo n/a

LiveBench—

SWE-bench—

Speed—

Output cost$0.08/1M

Frequently Asked Questions

Which is better overall, Command A or Meta: Llama 3.1 8B Instruct?: We do not have preference Elo for both models, so we do not declare an overall winner. Compare the metrics that exist.
Which is better at coding, Command A or Meta: Llama 3.1 8B Instruct?: SWE-bench is missing for at least one model, so we do not rank coding from a single number.
Which is cheaper to run in production?: Meta: Llama 3.1 8B Instruct output tokens are $0.08/1M versus $10/1M. Input prices and retry rates still move the real bill.
Which is faster, Command A or Meta: Llama 3.1 8B Instruct?: We do not have TTFT for both models.
Which has the larger context window?: Command A accepts 256k tokens versus 131k.
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. Command A and Meta: Llama 3.1 8B Instruct 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 Meta: Llama 3.1 8B Instruct matchups →

Llama 4 Maverick vs Command A Llama 3.1 405B vs Command A Llama 3.3 70B vs Command A Llama 4 Scout vs Command A Llama 3.1 70B vs Command A Mistral Large 3 vs Command A

Command A vs Meta: Llama 3.1 8B Instruct benchmark

Interactive Comparison Diagram

Matchup Breakdown

Tug-of-War Matchup Matrix

Category wins across intelligence, speed, and pricing efficiency.

Command A (7)vsMeta: Llama 3.1 8B Instruct (2)

Command A: 7W (78%)Overall: Command AMeta: Llama 3.1 8B Instruct: 2W (22%)

← Command AMeta: Llama 3.1 8B Instruct →

Command A (4/5)

Intelligence & Reasoning

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

Preference Elo

1,344vs—

Coding Elo

—vs—

SWE-bench

42.6%vs—

LiveBench

56.2%vs—

GPQA Diamond

66%vs—

Command A: 4WMeta: Llama 3.1 8B Instruct: 0W

Command A (2/2)

Speed & Latency

Generation throughput and time to first token responsiveness

Output speed

118 tok/svs—

Time to first token

175 msvs—

Command A: 2WMeta: Llama 3.1 8B Instruct: 0W

Meta: Llama 3.1 8B Instruct (2/3)

Pricing & Capacity

Cost per million tokens and max context window length

Output price

$10/1Mvs$0.08/1M

Input price

$2.5/1Mvs$0.05/1M

Context window

256kvs131k

Command A: 1WMeta: Llama 3.1 8B Instruct: 2W

Recommended Workload Routing

Repo / coding agentsinsufficient data

Need SWE-bench on both sides.

High-volume chatMeta: Llama 3.1 8B Instruct

Lower output list price ($0.08/1M).

Voice / low-latency UIinsufficient data

Need TTFT on both sides.

Long-document RAGCommand A

Larger window (256k).

Screenshots / visionMeta: Llama 3.1 8B Instruct

Meta: Llama 3.1 8B Instruct is the side marked multimodal in the catalog.

Target Workload	Recommended Pick	Evaluation Rationale
Repo / coding agents	insufficient data	Need SWE-bench on both sides.
High-volume chat	Meta: Llama 3.1 8B Instruct	Lower output list price ($0.08/1M).
Voice / low-latency UI	insufficient data	Need TTFT on both sides.
Long-document RAG	Command A	Larger window (256k).
Screenshots / vision	Meta: Llama 3.1 8B Instruct	Meta: Llama 3.1 8B Instruct is the side marked multimodal in the catalog.

Frequently Asked Questions

Which is better overall, Command A or Meta: Llama 3.1 8B Instruct?

We do not have preference Elo for both models, so we do not declare an overall winner. Compare the metrics that exist.

Which is better at coding, Command A or Meta: Llama 3.1 8B Instruct?

SWE-bench is missing for at least one model, so we do not rank coding from a single number.

Which is cheaper to run in production?

Meta: Llama 3.1 8B Instruct output tokens are $0.08/1M versus $10/1M. Input prices and retry rates still move the real bill.

Which is faster, Command A or Meta: Llama 3.1 8B Instruct?

We do not have TTFT for both models.

Which has the larger context window?

Command A accepts 256k tokens versus 131k.

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. Command A and Meta: Llama 3.1 8B Instruct 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

No shared data

No shared data

Meta: Llama 3.1 8B Instruct

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

Meta: Llama 3.1 8B Instruct

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

No shared data

No shared data

Meta: Llama 3.1 8B Instruct

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)

Share card

CompareLLM Matrix

Command A

Meta: Llama 3.1 8B Instruct

Frequently Asked Questions

Related news

Similar Head-to-Head Comparisons