Command A Reasoning vs Gemini 3 Flash

At a Glance

Compare
Gemini 3 FlashGoogle DeepMind
Pricing and Limits
Input priceFrom · USD / 1M tokensNot reported$0.50Google AI · Aug 29, 2026
Output priceFrom · USD / 1M tokensNot reported$3.00Google AI · Aug 29, 2026
Context windowMaximum documented tokens256K1,049K
Model facts checkedSep 3, 2026View model evidence →Aug 29, 2026View model evidence →

Token prices are the lowest available sourced USD rates; input and output may use different providers. Cost ranking estimates output spend on LiveBench, not a full request bill. Ranking methodology →

Available Benchmarks

All benchmark results →
No Protocol-Matched Benchmark Yet.Results appear here only when both models share the same benchmark version, metric, evaluation protocol, and evidence class.

Side-by-Side Facts

FieldCommand A ReasoningGemini 3 Flash
DeveloperCohereGoogle DeepMind
FamilyCommand AGemini 3
ModelCommand A ReasoningGemini 3 Flash
VersionCommand A ReasoningGemini 3 Flash
Lifecycleactivepreview
Released2025-08-21Unknown
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, reasoning, rag, structured_outputs, toolschat, generation, reasoning, tools

Command A Reasoning Capabilities

agentschatcitationsreasoningragstructured outputstools
Serving providers1
Canonical IDcoherelabs/command-a-reasoning-08-2025

Gemini 3 Flash Capabilities

chatgenerationreasoningtools
Serving providers2
Canonical IDgoogle-deepmind/gemini-3-flash-preview

Primary Evidence

Sources and Freshness

Questions

Command A Reasoning vs Gemini 3 Flash FAQs

Is Command A Reasoning or Gemini 3 Flash better for coding?+

This comparison does not currently contain a protocol-matched coding benchmark for both Command A Reasoning and Gemini 3 Flash, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.

Which is cheaper, Command A Reasoning or Gemini 3 Flash?+

Only Gemini 3 Flash has a directly sourced input price: $0.50 per million tokens. Only Gemini 3 Flash has a directly sourced output price: $3.00 per million tokens.

Which has a larger context window, Command A Reasoning or Gemini 3 Flash?+

Gemini 3 Flash has the larger sourced context window. Command A Reasoning supports 256K and Gemini 3 Flash supports 1,049K.

Which performs better in benchmarks, Command A Reasoning or Gemini 3 Flash?+

There is no overall benchmark winner: At least two independently verified, protocol-matched benchmarks are required for an overall winner.

Can Command A Reasoning or Gemini 3 Flash be self-hosted?+

Both models have the same recorded self-hosting status: unsupported. Command A Reasoning is not marked open weight; Gemini 3 Flash is not marked open weight.

Can Command A Reasoning and Gemini 3 Flash understand images?+

Command A Reasoning is not documented with image input; Gemini 3 Flash is documented with image input. This reflects supported input modalities, not vision quality.

Which can generate longer answers, Command A Reasoning or Gemini 3 Flash?+

Gemini 3 Flash has the larger sourced maximum output: Command A Reasoning supports 32K and Gemini 3 Flash supports 66K output tokens.

Do Command A Reasoning and Gemini 3 Flash support reasoning and tool use?+

Command A Reasoning: reasoning and tool calling. Gemini 3 Flash: reasoning, tool calling, and image input. Feature support does not establish relative quality.

Which is available from more inference providers, Command A Reasoning or Gemini 3 Flash?+

Command A Reasoning has 1 sourced provider route; Gemini 3 Flash has 2, so Gemini 3 Flash has broader tracked availability.

Which offers better value, Command A Reasoning or Gemini 3 Flash?+

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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