Pick Command A for enterprise rag and retrieval or strong long-context retrieval accuracy. Pick Gemini 3.1 Pro for largest mainstream production context (2m) or long video and document analysis. On a tight budget at scale, Command A is the value pick.
Command A (Cohere) and Gemini 3.1 Pro (Google) are two of the models people most often weigh against each other in 2026. Command A is cohere's enterprise-focused model built for retrieval-augmented and grounded workloads. Gemini 3.1 Pro is a 2M-token multimodal workhorse — huge breadth, but recall fades deep in the window. They diverge most on price and context window — each quantified below from the models' real specs.
Key differences
Price: Command A is about 4.8× cheaper on input ($2.5/$10 per 1M tokens vs $12/$18 per 1M tokens) — meaningful once you are processing millions of tokens a month.
Context window: Gemini 3.1 Pro holds 7.8× more — 2M (~3,000 pages) vs 256K (~384 pages). But effective recall usually fades long before the advertised ceiling, so the bigger number only helps if the model reasons over it.
Recency: Gemini 3.1 Pro is the newer model by about 11 months (released February 2026), usually meaning fresher training data and capabilities.
Specifications
Spec
Command A
Gemini 3.1 Pro
Provider
Cohere (Global)
Google (US)
Released
2025
February 2026
Context window
256K (~384 pages)
2M (~3,000 pages)
Price (in/out)
$2.5/$10 per 1M tokens
$12/$18 per 1M tokens
Open weight?
No — API only
No — API only
Modalities
text, code
text, image, audio, video, code
SWE-Bench Verified
Not published
Not published
MRCR v2 @ 1M
Not published
26.3%
Who wins what
Enterprise RAG and retrieval: Command A — A core design strength of Command A.
Strong long-context retrieval accuracy: Command A — A core design strength of Command A.
Multilingual: Command A — A core design strength of Command A.
Largest mainstream production context (2M): Gemini 3.1 Pro — A core design strength of Gemini 3.1 Pro.
Long video and document analysis: Gemini 3.1 Pro — A core design strength of Gemini 3.1 Pro.
Agentic reasoning (high ARC-AGI-2): Gemini 3.1 Pro — A core design strength of Gemini 3.1 Pro.
Lowest cost at scale: Command A — At $2.5/$10 per 1M tokens, it is the cheaper of the two — the gap dominates the bill on high-volume workloads.
Largest single-prompt input: Gemini 3.1 Pro — Its 2M window is about 7.8× larger, fitting roughly 3,000 pages in one prompt.
Which should you pick?
A cost-sensitive startup shipping high volume: Command A — At $2.5/$10 per 1M tokens it undercuts Gemini 3.1 Pro, and on millions of tokens that margin decides the monthly bill.
Someone analysing very long documents or codebases: Gemini 3.1 Pro — Larger 2M window fits more in one prompt.
Anyone whose priority is enterprise rag and retrieval: Command A — It is specifically built for that.
Anyone whose priority is largest mainstream production context (2m): Gemini 3.1 Pro — That is its strongest area.
Command A: where it fits
Cohere's enterprise-focused model built for retrieval-augmented and grounded workloads. Released 2025 by Cohere, it is built for enterprise RAG and retrieval, strong long-context retrieval accuracy, multilingual, and tool use.
Its trade-offs are real: less consumer presence, and narrower modality support. At $2.5 in / $10 out per million tokens, it sits in the mid price band.
Gemini 3.1 Pro: where it fits
A 2M-token multimodal workhorse — huge breadth, but recall fades deep in the window. Released February 2026 by Google, it is built for largest mainstream production context (2M), long video and document analysis, agentic reasoning (high ARC-AGI-2), and multimodal understanding.
Its trade-offs: long-context recall drops sharply past 256K, and premium price per token. At $12 in / $18 out per million tokens, it sits in the premium price band.
The bottom line for this matchup
Command A and Gemini 3.1 Pro overlap enough that the right pick depends on your specific job. Command A costs less per token; Gemini 3.1 Pro holds the larger context; and each leads in its own area — Command A for enterprise rag and retrieval, Gemini 3.1 Pro for largest mainstream production context (2m). Rather than crowning one, run the same hard task through both once and let the results decide.
Frequently asked questions
Is Command A or Gemini 3.1 Pro better for coding?
Public SWE-Bench figures are not available for either model, so the honest test is your own repository — run an identical real bug through both. By design, Command A leans toward enterprise rag and retrieval while Gemini 3.1 Pro leans toward largest mainstream production context (2m), and that positioning usually predicts which feels better on your codebase.
Which is cheaper, Command A or Gemini 3.1 Pro?
Command A is cheaper — $2.5/$10 per 1M tokens vs $12/$18 per 1M tokens, roughly 4.8× apart on input.
Which has the bigger context window?
Gemini 3.1 Pro — 2M vs 256K, about 7.8× larger. Useful only if the model actually reasons over the full window, which not all do.
Can I use both Command A and Gemini 3.1 Pro together?
Yes — a multi-model platform like LumiChats gives you Command A, Gemini 3.1 Pro and 40+ others under one ₹69/day pass (about $1/day), so you can draft with one and cross-check with the other instead of buying two subscriptions.
Which is newer, Command A or Gemini 3.1 Pro?
Gemini 3.1 Pro — released February 2026, about 11 months after Command A.
Command A vs Gemini 3.1 Pro
Cohere · Global | Google · US · Updated June 2026
Quick verdict
Pick Command A for enterprise rag and retrieval or strong long-context retrieval accuracy. Pick Gemini 3.1 Pro for largest mainstream production context (2m) or long video and document analysis. On a tight budget at scale, Command A is the value pick.
Command A (Cohere) and Gemini 3.1 Pro (Google) are two of the models people most often weigh against each other in 2026. Command A is cohere's enterprise-focused model built for retrieval-augmented and grounded workloads. Gemini 3.1 Pro is a 2M-token multimodal workhorse — huge breadth, but recall fades deep in the window. They diverge most on price and context window — each quantified below from the models' real specs.
Key differences at a glance
▸Price: Command A is about 4.8× cheaper on input ($2.5/$10 per 1M tokens vs $12/$18 per 1M tokens) — meaningful once you are processing millions of tokens a month.
▸Context window: Gemini 3.1 Pro holds 7.8× more — 2M (~3,000 pages) vs 256K (~384 pages). But effective recall usually fades long before the advertised ceiling, so the bigger number only helps if the model reasons over it.
▸Recency: Gemini 3.1 Pro is the newer model by about 11 months (released February 2026), usually meaning fresher training data and capabilities.
Side-by-side specs
Spec
Command A
Gemini 3.1 Pro
Provider
Cohere (Global)
Google (US)
Released
2025
February 2026
Context window
256K (~384 pages)
2M (~3,000 pages)
Price (in/out)
$2.5/$10 per 1M tokens
$12/$18 per 1M tokens
Open weight?
No — API only
No — API only
Modalities
text, code
text, image, audio, video, code
SWE-Bench Verified
Not published
Not published
MRCR v2 @ 1M
Not published
26.3%
Who wins what
Enterprise RAG and retrieval
Command A
A core design strength of Command A.
Strong long-context retrieval accuracy
Command A
A core design strength of Command A.
Multilingual
Command A
A core design strength of Command A.
Largest mainstream production context (2M)
Gemini 3.1 Pro
A core design strength of Gemini 3.1 Pro.
Long video and document analysis
Gemini 3.1 Pro
A core design strength of Gemini 3.1 Pro.
Agentic reasoning (high ARC-AGI-2)
Gemini 3.1 Pro
A core design strength of Gemini 3.1 Pro.
Lowest cost at scale
Command A
At $2.5/$10 per 1M tokens, it is the cheaper of the two — the gap dominates the bill on high-volume workloads.
Largest single-prompt input
Gemini 3.1 Pro
Its 2M window is about 7.8× larger, fitting roughly 3,000 pages in one prompt.
Which should you pick?
A cost-sensitive startup shipping high volume
→ Command A
At $2.5/$10 per 1M tokens it undercuts Gemini 3.1 Pro, and on millions of tokens that margin decides the monthly bill.
Someone analysing very long documents or codebases
→ Gemini 3.1 Pro
Larger 2M window fits more in one prompt.
Anyone whose priority is enterprise rag and retrieval
→ Command A
It is specifically built for that.
Anyone whose priority is largest mainstream production context (2m)
→ Gemini 3.1 Pro
That is its strongest area.
Command A: where it fits
Cohere's enterprise-focused model built for retrieval-augmented and grounded workloads. Released 2025 by Cohere, it is built for enterprise RAG and retrieval, strong long-context retrieval accuracy, multilingual, and tool use.
Its trade-offs are real: less consumer presence, and narrower modality support. At $2.5 in / $10 out per million tokens, it sits in the mid price band.
Gemini 3.1 Pro: where it fits
A 2M-token multimodal workhorse — huge breadth, but recall fades deep in the window. Released February 2026 by Google, it is built for largest mainstream production context (2M), long video and document analysis, agentic reasoning (high ARC-AGI-2), and multimodal understanding.
Its trade-offs: long-context recall drops sharply past 256K, and premium price per token. At $12 in / $18 out per million tokens, it sits in the premium price band.
The bottom line for this matchup
Command A and Gemini 3.1 Pro overlap enough that the right pick depends on your specific job. Command A costs less per token; Gemini 3.1 Pro holds the larger context; and each leads in its own area — Command A for enterprise rag and retrieval, Gemini 3.1 Pro for largest mainstream production context (2m). Rather than crowning one, run the same hard task through both once and let the results decide.
Want both Command A and Gemini 3.1 Pro without two subscriptions? LumiChats gives you these plus 40+ models under one ₹69/day pass (about $1/day) — draft with one, cross-check with the other.
Public SWE-Bench figures are not available for either model, so the honest test is your own repository — run an identical real bug through both. By design, Command A leans toward enterprise rag and retrieval while Gemini 3.1 Pro leans toward largest mainstream production context (2m), and that positioning usually predicts which feels better on your codebase.
Which is cheaper, Command A or Gemini 3.1 Pro?
Command A is cheaper — $2.5/$10 per 1M tokens vs $12/$18 per 1M tokens, roughly 4.8× apart on input.
Which has the bigger context window?
Gemini 3.1 Pro — 2M vs 256K, about 7.8× larger. Useful only if the model actually reasons over the full window, which not all do.
Can I use both Command A and Gemini 3.1 Pro together?
Yes — a multi-model platform like LumiChats gives you Command A, Gemini 3.1 Pro and 40+ others under one ₹69/day pass (about $1/day), so you can draft with one and cross-check with the other instead of buying two subscriptions.
Which is newer, Command A or Gemini 3.1 Pro?
Gemini 3.1 Pro — released February 2026, about 11 months after Command A.
Specifications and benchmarks reflect publicly reported figures as of June 2026 and may change as providers release updates. Always verify on your own workload.