Command A Vision vs Gemini 3.1 Flash Lite
At a Glance
| Compare |  Command A VisionCohere |  Gemini 3.1 Flash LiteGoogle DeepMind |
|---|---|---|
| Pricing and Limits | ||
| Input priceFrom · USD / 1M tokens | Not reported | $0.25Google AI ↗ · Aug 29, 2026 |
| Output priceFrom · USD / 1M tokens | Not reported | $1.50Google AI ↗ · Aug 29, 2026 |
| Context windowMaximum documented tokens | 128K | 1,049K |
| Model facts checked | Aug 29, 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
Side-by-Side Facts
| Field | Command A Vision | Gemini 3.1 Flash-Lite |
|---|---|---|
| Developer | Cohere | Google DeepMind |
| Family | Command A | Gemini 3 |
| Model | Command A Vision | Gemini 3.1 Flash-Lite |
| Version | Command A Vision | Gemini 3.1 Flash-Lite |
| Lifecycle | active | active |
| Released | Unknown | Unknown |
| Knowledge cutoff | 2024-06-01 | Unknown |
| Input modalities | Text, Image | Text, Image, Video, Audio, Document |
| Output modalities | Text | Text |
| Context window | 128K | 1,049K |
| Total parameters | Unknown | Unknown |
| Active parameters | Unknown | Unknown |
| License | Unknown | Unknown |
| Open weights | No | No |
| API available | Yes | Yes |
| Self-hostable | No | No |
| Provider access | Cohere (Standard) | Google AI (Standard), Google Gemini (Standard) |
| Capabilities | chat, citations, multilingual, ocr, reasoning, structured_outputs, vision | chat, generation, reasoning, tools |
Command A Vision Capabilities
Gemini 3.1 Flash Lite Capabilities
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Primary Evidence
Sources and Freshness
Questions
Command A Vision vs Gemini 3.1 Flash Lite FAQs
Is Command A Vision or Gemini 3.1 Flash Lite better for coding?+
This comparison does not currently contain a protocol-matched coding benchmark for both Command A Vision and Gemini 3.1 Flash Lite, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.
Which is cheaper, Command A Vision or Gemini 3.1 Flash Lite?+
Only Gemini 3.1 Flash Lite has a directly sourced input price: $0.25 per million tokens. Only Gemini 3.1 Flash Lite has a directly sourced output price: $1.50 per million tokens.
Which has a larger context window, Command A Vision or Gemini 3.1 Flash Lite?+
Gemini 3.1 Flash Lite has the larger sourced context window. Command A Vision supports 128K and Gemini 3.1 Flash Lite supports 1,049K.
Which performs better in benchmarks, Command A Vision or Gemini 3.1 Flash Lite?+
There is no overall benchmark winner: At least two independently verified, protocol-matched benchmarks are required for an overall winner.
Can Command A Vision or Gemini 3.1 Flash Lite be self-hosted?+
Both models have the same recorded self-hosting status: unsupported. Command A Vision is not marked open weight; Gemini 3.1 Flash Lite is not marked open weight.
Can Command A Vision and Gemini 3.1 Flash Lite understand images?+
Command A Vision is documented with image input; Gemini 3.1 Flash Lite is documented with image input. This reflects supported input modalities, not vision quality.
Which can generate longer answers, Command A Vision or Gemini 3.1 Flash Lite?+
Gemini 3.1 Flash Lite has the larger sourced maximum output: Command A Vision supports 8K and Gemini 3.1 Flash Lite supports 66K output tokens.
Do Command A Vision and Gemini 3.1 Flash Lite support reasoning and tool use?+
Command A Vision: reasoning and image input. Gemini 3.1 Flash Lite: reasoning, tool calling, and image input. Feature support does not establish relative quality.
Which is available from more inference providers, Command A Vision or Gemini 3.1 Flash Lite?+
Command A Vision has 1 sourced provider route; Gemini 3.1 Flash Lite has 2, so Gemini 3.1 Flash Lite has broader tracked availability.
Which offers better value, Command A Vision or Gemini 3.1 Flash Lite?+
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.