Pairwise benchmark snapshot · Aug 16, 2026

Command A vs Gemini 3 Pro benchmark

Name: Command A vs Gemini 3 Pro AI benchmark comparison
Creator: CompareLLM
License: https://creativecommons.org/licenses/by/4.0/

This page compares Command A (Cohere) and Gemini 3 Pro (Google) using the latest snapshots we have as of Aug 16, 2026. On preference Elo, Gemini 3 Pro is ahead by 208 points (1,552 vs 1,344; seed-bootstrap (Aug 1, 2026)). On SWE-bench coding, Gemini 3 Pro resolves 72.4% versus 42.6% (seed-bootstrap (Aug 1, 2026)). Command A streams faster (118 tok/s) while Gemini 3 Pro is the cheaper output token ($5/1M). Gemini 3 Pro has the larger context window (2M 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

Google

Gemini 3 Pro

Google frontier multimodal model with a multi-million-token context window.

Elo 1,552$5/1M 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 (2)vsGemini 3 Pro (8)

Command A: 2W (20%)Overall: Gemini 3 ProGemini 3 Pro: 8W (80%)

← Command AGemini 3 Pro →

Gemini 3 Pro (5/5)

Intelligence & Reasoning

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

Preference Elo

1,344vs1,552

Coding Elo

—vs1,548

SWE-bench

42.6%vs72.4%

LiveBench

56.2%vs70.6%

GPQA Diamond

66%vs83.6%

Command A: 0WGemini 3 Pro: 5W

Command A (2/2)

Speed & Latency

Generation throughput and time to first token responsiveness

Output speed

118 tok/svs92 tok/s

Time to first token

175 msvs220 ms

Command A: 2WGemini 3 Pro: 0W

Gemini 3 Pro (3/3)

Pricing & Capacity

Cost per million tokens and max context window length

Output price

$10/1Mvs$5/1M

Input price

$2.5/1Mvs$1.25/1M

Context window

256kvs2M

Command A: 0WGemini 3 Pro: 3W

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 AdvantageGemini 3 Pro 5/6

Preference Elo

Gemini 3 Pro

208 pts advantage

Throughput Speed

Command A

26 tok/s faster

Price Efficiency

Gemini 3 Pro

$5.00/1M cheaper

Full Benchmark Score Matrix

—

Elo

High is better

1,344

EloHigh is better

1,552+15%

Code Elo

High is better

—

Code EloHigh is better

1,548

LiveBench

High is better

56.2%

LiveBenchHigh is better

70.6%+26%

SWE-bench

High is better

42.6%

SWE-benchHigh is better

72.4%+70%

GPQA

High is better

66%

GPQAHigh is better

83.6%+27%

TTFT

Low is better

+26%175 ms

TTFTLow is better

220 ms

Speed

High is better

+28%118 tok/s

SpeedHigh is better

92 tok/s

In $

Low is better

$2.5/1M

In $Low is better

$1.25/1M+100%

Out $

Low is better

$10/1M

Out $Low is better

$5/1M+100%

Context

High is better

256k

ContextHigh is better

2M+681%

Interactive Simulator

Workload Cost & Savings Calculator

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

Save up to 50% with Gemini 3 Pro

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

Gemini 3 Pro$118.75 / mo

In: $43.75Out: $75.00

Estimated Cost Delta

Gemini 3 Pro is estimated to save $118.75/month ($1,425/year).

Based on 50M tokens (30% gen)

Key Selection Recommendations

1
Gemini 3 Pro:Pick Gemini 3 Pro 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
Gemini 3 Pro:Pick Gemini 3 Pro for million-token RAG or long-document jobs.

Recommended Workload Routing

Repo / coding agentsGemini 3 Pro

Higher SWE-bench (72.4%).

High-volume chatGemini 3 Pro

Lower output list price ($5/1M).

Voice / low-latency UICommand A

Lower TTFT (175 ms).

Long-document RAGGemini 3 Pro

Larger window (2M).

Screenshots / visionGemini 3 Pro

Gemini 3 Pro is the side marked multimodal in the catalog.

Target Workload	Recommended Pick	Evaluation Rationale
Repo / coding agents	Gemini 3 Pro	Higher SWE-bench (72.4%).
High-volume chat	Gemini 3 Pro	Lower output list price ($5/1M).
Voice / low-latency UI	Command A	Lower TTFT (175 ms).
Long-document RAG	Gemini 3 Pro	Larger window (2M).
Screenshots / vision	Gemini 3 Pro	Gemini 3 Pro is the side marked multimodal in the catalog.

Related Editorial Dispatches & Benchmark Notes

View all news

launchMar 15, 2026

Gemini 3 Pro’s multi-million context is still a 2026 RAG shortlist

March 2026 Google frontier multimodal with a 2M window. 3.6 Pro is newer; 3 Pro stays as the original 3.x Pro row.

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

Google

Gemini 3 Pro

Elo 1,552

LiveBench70.6%

SWE-bench72.4%

Speed92 tok/s

Output cost$5/1M

Frequently Asked Questions

Which is better overall, Command A or Gemini 3 Pro?: Gemini 3 Pro has the higher preference Elo in our latest snapshot (1,552). “Better” still depends on coding, price, and latency — see the table.
Which is better at coding, Command A or Gemini 3 Pro?: Gemini 3 Pro leads SWE-bench at 72.4% vs 42.6%. SWE-bench is one harness, not your repo.
Which is cheaper to run in production?: Gemini 3 Pro output tokens are $5/1M versus $10/1M. Input prices and retry rates still move the real bill.
Which is faster, Command A or Gemini 3 Pro?: Command A has the lower time-to-first-token (175 ms vs 220 ms). Tokens/sec is a separate column if you care about long completions.
Which has the larger context window?: Gemini 3 Pro accepts 2M tokens versus 256k.
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 Gemini 3 Pro 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 Gemini 3 Pro matchups →

Gemini 3 Pro vs Gemini 2.5 Pro (previous gemini-pro)Gemini 3 Pro vs Gemini 3.6 Pro (next gemini-pro)Gemini 2.0 Flash Thinking vs Gemini 3 Pro Gemini 3 Flash vs Gemini 3 Pro Gemini 3.6 Flash vs Gemini 3 Pro Gemini 3.7 Flash vs Gemini 3 Pro

Command A vs Gemini 3 Pro benchmark

Interactive Comparison Diagram

Matchup Breakdown

Tug-of-War Matchup Matrix

Category wins across intelligence, speed, and pricing efficiency.

Command A (2)vsGemini 3 Pro (8)

Command A: 2W (20%)Overall: Gemini 3 ProGemini 3 Pro: 8W (80%)

← Command AGemini 3 Pro →

Gemini 3 Pro (5/5)

Intelligence & Reasoning

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

Preference Elo

1,344vs1,552

Coding Elo

—vs1,548

SWE-bench

42.6%vs72.4%

LiveBench

56.2%vs70.6%

GPQA Diamond

66%vs83.6%

Command A: 0WGemini 3 Pro: 5W

Command A (2/2)

Speed & Latency

Generation throughput and time to first token responsiveness

Output speed

118 tok/svs92 tok/s

Time to first token

175 msvs220 ms

Command A: 2WGemini 3 Pro: 0W

Gemini 3 Pro (3/3)

Pricing & Capacity

Cost per million tokens and max context window length

Output price

$10/1Mvs$5/1M

Input price

$2.5/1Mvs$1.25/1M

Context window

256kvs2M

Command A: 0WGemini 3 Pro: 3W

Recommended Workload Routing

Repo / coding agentsGemini 3 Pro

Higher SWE-bench (72.4%).

High-volume chatGemini 3 Pro

Lower output list price ($5/1M).

Voice / low-latency UICommand A

Lower TTFT (175 ms).

Long-document RAGGemini 3 Pro

Larger window (2M).

Screenshots / visionGemini 3 Pro

Gemini 3 Pro is the side marked multimodal in the catalog.

Target Workload	Recommended Pick	Evaluation Rationale
Repo / coding agents	Gemini 3 Pro	Higher SWE-bench (72.4%).
High-volume chat	Gemini 3 Pro	Lower output list price ($5/1M).
Voice / low-latency UI	Command A	Lower TTFT (175 ms).
Long-document RAG	Gemini 3 Pro	Larger window (2M).
Screenshots / vision	Gemini 3 Pro	Gemini 3 Pro is the side marked multimodal in the catalog.

Frequently Asked Questions

Which is better overall, Command A or Gemini 3 Pro?

Gemini 3 Pro has the higher preference Elo in our latest snapshot (1,552). “Better” still depends on coding, price, and latency — see the table.

Which is better at coding, Command A or Gemini 3 Pro?

Gemini 3 Pro leads SWE-bench at 72.4% vs 42.6%. SWE-bench is one harness, not your repo.

Which is cheaper to run in production?

Gemini 3 Pro output tokens are $5/1M versus $10/1M. Input prices and retry rates still move the real bill.

Which is faster, Command A or Gemini 3 Pro?

Command A has the lower time-to-first-token (175 ms vs 220 ms). Tokens/sec is a separate column if you care about long completions.

Which has the larger context window?

Gemini 3 Pro accepts 2M tokens versus 256k.

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 Gemini 3 Pro 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

Gemini 3 Pro

Command A

Gemini 3 Pro

Full Benchmark Score Matrix

Workload Cost & Savings Calculator

Key Selection Recommendations

Recommended Workload Routing

Related Editorial Dispatches & Benchmark Notes

Gemini 3 Pro’s multi-million context is still a 2026 RAG shortlist

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

Gemini 3 Pro

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

Gemini 3 Pro

Command A

Gemini 3 Pro

Full Benchmark Score Matrix

Workload Cost & Savings Calculator

Key Selection Recommendations

Recommended Workload Routing

Related Editorial Dispatches & Benchmark Notes

Gemini 3 Pro’s multi-million context is still a 2026 RAG shortlist

Command A: Cohere’s enterprise RAG and tool-use row

Cast Your Matchup Vote

Community Discussions (0)

Share card

CompareLLM Matrix

Command A

Gemini 3 Pro

Frequently Asked Questions

Related news

Similar Head-to-Head Comparisons