Pick Command A for enterprise rag and retrieval or strong long-context retrieval accuracy. Pick Mistral Large 3 for open-weight (apache 2.0), self-hostable or strong multilingual performance. On a tight budget at scale, Mistral Large 3 is the value pick.
Command A (Cohere) and Mistral Large 3 (Mistral) 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. Mistral Large 3 is france's frontier contender — strong multilingual model with European data residency. Their biggest split is price, and the breakdown below shows exactly how that plays out for your workload.
Key differences
Price: Mistral Large 3 is about 5× cheaper on input ($0.5/$1.5 per 1M tokens vs $2.5/$10 per 1M tokens) — a large enough gap that at scale it can be the single biggest line item in the decision.
Context window: both advertise 256K (~384 pages). Tie on paper — test on your own long inputs, since usable recall varies by model.
Recency: Mistral Large 3 is the newer model by about 9 months (released December 2, 2025), usually meaning fresher training data and capabilities.
Specifications
Spec
Command A
Mistral Large 3
Provider
Cohere (Global)
Mistral (France)
Released
March 2025
December 2, 2025
Context window
256K (~384 pages)
256K (~384 pages)
Price (in/out)
$2.5/$10 per 1M tokens
$0.5/$1.5 per 1M tokens
Open weight?
Yes — self-hostable
Yes — self-hostable
Modalities
text, code
text, image, code
SWE-Bench Verified
Not published
Not published
MRCR v2 @ 1M
Not published
Not published
Who wins what
Enterprise RAG and retrieval: Command A — Command A lists enterprise RAG and retrieval among its strengths; Mistral Large 3 does not.
Strong long-context retrieval accuracy: Command A — Mistral Large 3 is comparatively weak here — smaller context than US/China frontier
Multilingual: Command A — Command A lists multilingual among its strengths; Mistral Large 3 does not.
Open-weight (Apache 2.0), self-hostable: Mistral Large 3 — France's frontier contender — strong multilingual model with European data residency — and it runs cheaper at $0.5/$1.5 per 1M tokens.
Strong multilingual performance: Mistral Large 3 — France's frontier contender — strong multilingual model with European data residency — and it is the newer of the two.
Efficient inference: Mistral Large 3 — Mistral Large 3 lists efficient inference among its strengths; Command A does not.
Lowest cost at scale: Mistral Large 3 — At $0.5/$1.5 per 1M tokens, it is the cheaper of the two — the gap dominates the bill on high-volume workloads.
Which should you pick?
A cost-sensitive startup shipping high volume: Mistral Large 3 — At $0.5/$1.5 per 1M tokens it undercuts Command A, and on millions of tokens that margin decides the monthly bill.
Anyone whose priority is enterprise rag and retrieval: Command A — It is specifically built for that.
Anyone whose priority is open-weight (apache 2.0), self-hostable: Mistral Large 3 — That is its strongest area.
Command A: where it fits
Cohere's enterprise-focused model built for retrieval-augmented and grounded workloads. Released March 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.
Mistral Large 3: where it fits
France's frontier contender — strong multilingual model with European data residency. Released December 2, 2025 by Mistral, it is built for open-weight (Apache 2.0), self-hostable, strong multilingual performance, efficient inference, and function calling.
Its trade-offs: smaller context than US/China frontier, and less benchmark coverage. At $0.5 in / $1.5 out per million tokens, it sits in the budget price band.
The bottom line for this matchup
Command A and Mistral Large 3 overlap enough that the right pick depends on your specific job. Mistral Large 3 costs less per token; and each leads in its own area — Command A for enterprise rag and retrieval, Mistral Large 3 for open-weight (apache 2.0), self-hostable. Rather than crowning one, run the same hard task through both once and let the results decide.
Frequently asked questions
Is Command A or Mistral Large 3 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 Mistral Large 3 leans toward open-weight (apache 2.0), self-hostable, and that positioning usually predicts which feels better on your codebase.
Which is cheaper, Command A or Mistral Large 3?
Mistral Large 3 is cheaper — $2.5/$10 per 1M tokens vs $0.5/$1.5 per 1M tokens, roughly 5× apart on input.
Which has the bigger context window?
Both advertise 256K (~384 pages). Remember advertised ≠ usable: recall typically degrades before the ceiling.
Can I use both Command A and Mistral Large 3 together?
Yes — a multi-model platform like LumiChats gives you Command A, Mistral Large 3 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 Mistral Large 3?
Mistral Large 3 — released December 2, 2025, about 9 months after Command A.
Command A vs Mistral Large 3
Cohere · Global | Mistral · France · Updated June 2026
Quick verdict
Pick Command A for enterprise rag and retrieval or strong long-context retrieval accuracy. Pick Mistral Large 3 for open-weight (apache 2.0), self-hostable or strong multilingual performance. On a tight budget at scale, Mistral Large 3 is the value pick.
Command A (Cohere) and Mistral Large 3 (Mistral) 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. Mistral Large 3 is france's frontier contender — strong multilingual model with European data residency. Their biggest split is price, and the breakdown below shows exactly how that plays out for your workload.
Key differences at a glance
▸Price: Mistral Large 3 is about 5× cheaper on input ($0.5/$1.5 per 1M tokens vs $2.5/$10 per 1M tokens) — a large enough gap that at scale it can be the single biggest line item in the decision.
▸Context window: both advertise 256K (~384 pages). Tie on paper — test on your own long inputs, since usable recall varies by model.
▸Recency: Mistral Large 3 is the newer model by about 9 months (released December 2, 2025), usually meaning fresher training data and capabilities.
Side-by-side specs
Spec
Command A
Mistral Large 3
Provider
Cohere (Global)
Mistral (France)
Released
March 2025
December 2, 2025
Context window
256K (~384 pages)
256K (~384 pages)
Price (in/out)
$2.5/$10 per 1M tokens
$0.5/$1.5 per 1M tokens
Open weight?
Yes — self-hostable
Yes — self-hostable
Modalities
text, code
text, image, code
SWE-Bench Verified
Not published
Not published
MRCR v2 @ 1M
Not published
Not published
Who wins what
Enterprise RAG and retrieval
Command A
Command A lists enterprise RAG and retrieval among its strengths; Mistral Large 3 does not.
Strong long-context retrieval accuracy
Command A
Mistral Large 3 is comparatively weak here — smaller context than US/China frontier
Multilingual
Command A
Command A lists multilingual among its strengths; Mistral Large 3 does not.
Open-weight (Apache 2.0), self-hostable
Mistral Large 3
France's frontier contender — strong multilingual model with European data residency — and it runs cheaper at $0.5/$1.5 per 1M tokens.
Strong multilingual performance
Mistral Large 3
France's frontier contender — strong multilingual model with European data residency — and it is the newer of the two.
Efficient inference
Mistral Large 3
Mistral Large 3 lists efficient inference among its strengths; Command A does not.
Lowest cost at scale
Mistral Large 3
At $0.5/$1.5 per 1M tokens, it is the cheaper of the two — the gap dominates the bill on high-volume workloads.
Which should you pick?
A cost-sensitive startup shipping high volume
→ Mistral Large 3
At $0.5/$1.5 per 1M tokens it undercuts Command A, and on millions of tokens that margin decides the monthly bill.
Anyone whose priority is enterprise rag and retrieval
→ Command A
It is specifically built for that.
Anyone whose priority is open-weight (apache 2.0), self-hostable
→ Mistral Large 3
That is its strongest area.
Command A: where it fits
Cohere's enterprise-focused model built for retrieval-augmented and grounded workloads. Released March 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.
Mistral Large 3: where it fits
France's frontier contender — strong multilingual model with European data residency. Released December 2, 2025 by Mistral, it is built for open-weight (Apache 2.0), self-hostable, strong multilingual performance, efficient inference, and function calling.
Its trade-offs: smaller context than US/China frontier, and less benchmark coverage. At $0.5 in / $1.5 out per million tokens, it sits in the budget price band.
The bottom line for this matchup
Command A and Mistral Large 3 overlap enough that the right pick depends on your specific job. Mistral Large 3 costs less per token; and each leads in its own area — Command A for enterprise rag and retrieval, Mistral Large 3 for open-weight (apache 2.0), self-hostable. Rather than crowning one, run the same hard task through both once and let the results decide.
Want both Command A and Mistral Large 3 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.
Is Command A or Mistral Large 3 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 Mistral Large 3 leans toward open-weight (apache 2.0), self-hostable, and that positioning usually predicts which feels better on your codebase.
Which is cheaper, Command A or Mistral Large 3?
Mistral Large 3 is cheaper — $2.5/$10 per 1M tokens vs $0.5/$1.5 per 1M tokens, roughly 5× apart on input.
Which has the bigger context window?
Both advertise 256K (~384 pages). Remember advertised ≠ usable: recall typically degrades before the ceiling.
Can I use both Command A and Mistral Large 3 together?
Yes — a multi-model platform like LumiChats gives you Command A, Mistral Large 3 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 Mistral Large 3?
Mistral Large 3 — released December 2, 2025, about 9 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.