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

Command A vs AllenAI: Olmo 3 32B Think benchmark

Name: Command A vs AllenAI: Olmo 3 32B Think AI benchmark comparison
Creator: CompareLLM
License: https://creativecommons.org/licenses/by/4.0/

This page compares Command A (Cohere) and AllenAI: Olmo 3 32B Think (allenai) using the latest snapshots we have as of Aug 17, 2026. AllenAI: Olmo 3 32B Think wins on output price at $0.5/1M. 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.

Share Analysis:

WhatsApp Telegram X / Post LinkedIn Reddit

Cohere

Command A

Cohere enterprise RAG and tool-use model.

Elo 1,344$10/1M out

allenai

AllenAI: Olmo 3 32B Think

Auto-discovered from OpenRouter (allenai/olmo-3-32b-think). Preview until a second source matches.

$0.5/1M out

Swap or Add Any Model to this Matchup

Instant pairwise benchmark recalculation across 400+ LLMs

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)vsAllenAI: Olmo 3 32B Think (2)

Command A: 7W (78%)Overall: Command AAllenAI: Olmo 3 32B Think: 2W (22%)

← Command AAllenAI: Olmo 3 32B Think →

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: 4WAllenAI: Olmo 3 32B Think: 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: 2WAllenAI: Olmo 3 32B Think: 0W

AllenAI: Olmo 3 32B Think (2/3)

Pricing & Capacity

Cost per million tokens and max context window length

Output price

$10/1Mvs$0.5/1M

Input price

$2.5/1Mvs$0.15/1M

Context window

256kvs66k

Command A: 1WAllenAI: Olmo 3 32B Think: 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

AllenAI: Olmo 3 32B Think

$9.50/1M 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

$0.15/1M+1567%

Out $

Low is better

$10/1M

Out $Low is better

$0.5/1M+1900%

Context

High is better

+291%256k

ContextHigh is better

66k

Interactive Simulator

Workload Cost & Savings Calculator

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

Save up to 95% with AllenAI: Olmo 3 32B Think

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

AllenAI: Olmo 3 32B Think$12.75 / mo

In: $5.25Out: $7.50

Estimated Cost Delta

AllenAI: Olmo 3 32B Think is estimated to save $224.75/month ($2,697/year).

Based on 50M tokens (30% gen)

Key Selection Recommendations

1
AllenAI: Olmo 3 32B Think:Pick AllenAI: Olmo 3 32B Think when you are optimizing output cost.

Recommended Workload Routing

Repo / coding agentsinsufficient data

Need SWE-bench on both sides.

High-volume chatAllenAI: Olmo 3 32B Think

Lower output list price ($0.5/1M).

Voice / low-latency UIinsufficient data

Need TTFT on both sides.

Long-document RAGCommand A

Larger window (256k).

Screenshots / visionAllenAI: Olmo 3 32B Think

AllenAI: Olmo 3 32B Think 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	AllenAI: Olmo 3 32B Think	Lower output list price ($0.5/1M).
Voice / low-latency UI	insufficient data	Need TTFT on both sides.
Long-document RAG	Command A	Larger window (256k).
Screenshots / vision	AllenAI: Olmo 3 32B Think	AllenAI: Olmo 3 32B Think 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.

Community Sentiment

Cast Your Matchup Vote

0 total votes

Community Discussions (0)

No comments posted on this matchup yet. Be the first to share an evaluation note!

Share card

The real PNG is generated at /compare/command-a-vs-olmo-3-32b-think/opengraph-image for crawlers.

PNG

CompareLLM Matrix

Verified head-to-head card

LIVE

Cohere

Command A

Elo 1,344

LiveBench56.2%

SWE-bench42.6%

Speed118 tok/s

Output cost$10/1M

allenai

AllenAI: Olmo 3 32B Think

Elo n/a

LiveBench—

SWE-bench—

Speed—

Output cost$0.5/1M

Frequently Asked Questions

Which is better overall, Command A or AllenAI: Olmo 3 32B Think?: 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 AllenAI: Olmo 3 32B Think?: 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?: AllenAI: Olmo 3 32B Think output tokens are $0.5/1M versus $10/1M. Input prices and retry rates still move the real bill.
Which is faster, Command A or AllenAI: Olmo 3 32B Think?: We do not have TTFT for both models.
Which has the larger context window?: Command A accepts 256k tokens versus 66k.
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 AllenAI: Olmo 3 32B Think 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 AllenAI: Olmo 3 32B Think matchups →

Mistral Large 3 vs Command A Doubao Pro 1.5 vs Command A Yi-Lightning vs Command A Gemini 2.0 Flash Thinking vs Command A Gemini 3 Flash vs Command A Claude Opus 4.5 vs Command A

Command A vs AllenAI: Olmo 3 32B Think benchmark

Interactive Comparison Diagram

Matchup Breakdown

Tug-of-War Matchup Matrix

Category wins across intelligence, speed, and pricing efficiency.

Command A (7)vsAllenAI: Olmo 3 32B Think (2)

Command A: 7W (78%)Overall: Command AAllenAI: Olmo 3 32B Think: 2W (22%)

← Command AAllenAI: Olmo 3 32B Think →

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: 4WAllenAI: Olmo 3 32B Think: 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: 2WAllenAI: Olmo 3 32B Think: 0W

AllenAI: Olmo 3 32B Think (2/3)

Pricing & Capacity

Cost per million tokens and max context window length

Output price

$10/1Mvs$0.5/1M

Input price

$2.5/1Mvs$0.15/1M

Context window

256kvs66k

Command A: 1WAllenAI: Olmo 3 32B Think: 2W

Recommended Workload Routing

Repo / coding agentsinsufficient data

Need SWE-bench on both sides.

High-volume chatAllenAI: Olmo 3 32B Think

Lower output list price ($0.5/1M).

Voice / low-latency UIinsufficient data

Need TTFT on both sides.

Long-document RAGCommand A

Larger window (256k).

Screenshots / visionAllenAI: Olmo 3 32B Think

AllenAI: Olmo 3 32B Think 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	AllenAI: Olmo 3 32B Think	Lower output list price ($0.5/1M).
Voice / low-latency UI	insufficient data	Need TTFT on both sides.
Long-document RAG	Command A	Larger window (256k).
Screenshots / vision	AllenAI: Olmo 3 32B Think	AllenAI: Olmo 3 32B Think is the side marked multimodal in the catalog.

Frequently Asked Questions

Which is better overall, Command A or AllenAI: Olmo 3 32B Think?

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 AllenAI: Olmo 3 32B Think?

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?

AllenAI: Olmo 3 32B Think output tokens are $0.5/1M versus $10/1M. Input prices and retry rates still move the real bill.

Which is faster, Command A or AllenAI: Olmo 3 32B Think?

We do not have TTFT for both models.

Which has the larger context window?

Command A accepts 256k tokens versus 66k.

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 AllenAI: Olmo 3 32B Think 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

AllenAI: Olmo 3 32B Think

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

AllenAI: Olmo 3 32B Think

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

AllenAI: Olmo 3 32B Think

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

AllenAI: Olmo 3 32B Think

Frequently Asked Questions

Related news

Similar Head-to-Head Comparisons