Command A vs Gemini 3.1 Pro

Model Markets Rankings

Intelligence, Cost, and Efficiency

All rankings →
RankingCommand AGemini 3.1 Pro
IntelligenceHigher is better · MM Intelligence v1.4UnrankedNot in the 46-model eligible cohort#10 of 4678.5 score · 2/3-source partial
CostLower is better · Published-token output estimateUnrankedNot in the 45-model eligible cohort#28 of 45$0.161 per LiveBench case
EfficiencyHigher is better · MM Efficiency v1.1UnrankedNot in the 38-model eligible cohort#10 of 3857.2 score · 2/3-source intelligence

Ranks come from current available eligible cohorts. Intelligence may use a labeled two-of-three partial core. Green highlights appear only when both models are ranked in the same metric, and the three dimensions are not collapsed into an overall winner.

Benchmark Performance

Available Benchmarks

BenchmarkCommand AGemini 3.1 Pro
LMArena Text Arenatext-2026-09-01-011508720696 · arena_rating · leader1,330.7990% of row best · rating · command-a-03-2025; 95% CI [1327.33626503, 1334.25009199]; votes 55434; rank 2081,480.10100% of row best · rating · gemini-3.1-pro-preview; 95% CI [1476.89767236, 1483.30025658]; votes 102763; rank 11
ToneBench2026-08-28-10-task-cd9819ab6e4d · overall_score · leader60.9076% of row best · points · Cohere Command A (03-2025) · 1,177 output tokens / case79.89100% of row best · points · Gemini 3.1 Pro (high thinking) · 10,009 output tokens / case
Overall ResultCounted from the protocol-matched rows above0 benchmark wins2 benchmark winsOverall lead

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

FieldAt a Glance
Cohere · activeCommand AVerified Aug 29, 2026
Google DeepMind · previewGemini 3.1 ProVerified Aug 29, 2026

Technical Differences

Side-by-Side Facts

Indexable
FieldCommand AGemini 3.1 Pro
DeveloperCohereGoogle DeepMind
FamilyCommand AGemini 3
ModelCommand AGemini 3.1 Pro
VersionCommand AGemini 3.1 Pro
Lifecycleactivepreview
ReleasedUnknownUnknown
Knowledge cutoff2024-06-01Unknown
Input modalitiesTextText, Image, Video, Audio, Document
Output modalitiesTextText
Context window256K1,049K
Total parameters111BUnknown
Active parametersUnknownUnknown
LicenseUnknownUnknown
Open weightsNoNo
API availableYesYes
Self-hostableNoNo
Provider accessCohere (Standard)Google AI (Standard), Google Gemini (Standard)
Capabilitiesagents, chat, citations, multilingual, rag, structured_outputs, toolschat, generation, reasoning, tools

13 comparable fields · 9 material differences · Pair passes the primary-source comparison gate

Command A Capabilities

agentschatcitationsmultilingualragstructured outputstools
Input price$2.50
Output price$10.00
Serving providers1
Canonical IDcoherelabs/command-a-03-2025

Gemini 3.1 Pro Capabilities

chatgenerationreasoningtools
Input price$2.00
Output price$12.00
Serving providers2
Canonical IDgoogle-deepmind/gemini-3.1-pro-preview

Internal Comparison Graph

Related Comparisons

All text comparisons →
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Primary Evidence

Sources and Freshness

Questions

Command A vs Gemini 3.1 Pro FAQs

Is Command A or Gemini 3.1 Pro better for coding?+

This comparison does not currently contain a protocol-matched coding benchmark for both Command A and Gemini 3.1 Pro, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.

Which is cheaper, Command A or Gemini 3.1 Pro?+

Command A is $2.50 and Gemini 3.1 Pro is $2.00 per million tokens, so Gemini 3.1 Pro is cheaper on this metric. Command A is $10.00 and Gemini 3.1 Pro is $12.00 per million tokens, so Command A is cheaper on this metric.

Which has a larger context window, Command A or Gemini 3.1 Pro?+

Gemini 3.1 Pro has the larger sourced context window. Command A supports 256K and Gemini 3.1 Pro supports 1,049K.

Which performs better in benchmarks, Command A or Gemini 3.1 Pro?+

Gemini 3.1 Pro leads the current overall benchmark count. The result uses 2 protocol-matched benchmarks from 2 publishers; it is not a universal quality score.

Can Command A or Gemini 3.1 Pro be self-hosted?+

Both models have the same recorded self-hosting status: unsupported. Command A is not marked open weight; Gemini 3.1 Pro is not marked open weight.

Can Command A and Gemini 3.1 Pro understand images?+

Command A is not documented with image input; Gemini 3.1 Pro is documented with image input. This reflects supported input modalities, not vision quality.

Which can generate longer answers, Command A or Gemini 3.1 Pro?+

Gemini 3.1 Pro has the larger sourced maximum output: Command A supports 8K and Gemini 3.1 Pro supports 66K output tokens.

Do Command A and Gemini 3.1 Pro support reasoning and tool use?+

Command A: tool calling. Gemini 3.1 Pro: reasoning, tool calling, and image input. Feature support does not establish relative quality.

Which is available from more inference providers, Command A or Gemini 3.1 Pro?+

Command A has 1 sourced provider route; Gemini 3.1 Pro has 2, so Gemini 3.1 Pro has broader tracked availability.

Which offers better value, Command A or Gemini 3.1 Pro?+

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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