Command A vs Mistral Medium 3

Cohere · Global  |  Mistral AI · France · Updated June 2026

Quick verdict

Pick Command A for enterprise rag and retrieval or strong long-context retrieval accuracy. Pick Mistral Medium 3 for strong cost-to-capability at $0.40/$2.00 or general reasoning, coding and multimodal tasks. On a tight budget at scale, Mistral Medium 3 is the value pick.

Command A (Cohere) and Mistral Medium 3 (Mistral AI) 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 Medium 3 is mistral's mid-tier model at $0.40/$2.00 — efficient general capability with a 128K window, below the 1M-context frontier tier. They diverge most on price and context window — each quantified below from the models' real specs.

Key differences at a glance

Side-by-side specs

SpecCommand AMistral Medium 3
ProviderCohere (Global) Mistral AI (France)
ReleasedMarch 2025 May 7, 2025
Context window256K (~384 pages) 128K (~192 pages)
Price (in/out)$2.5/$10 per 1M tokens $0.4/$2 per 1M tokens
Open weight?No — API only No — API only
Modalitiestext, code text, image, code
SWE-Bench VerifiedNot published Not published
MRCR v2 @ 1MNot published Not published

Who wins what

Enterprise RAG and retrieval

Command A

Cohere's enterprise-focused model built for retrieval-augmented and grounded workloads — and it carries the larger 256K context.

Strong long-context retrieval accuracy

Command A

Its 256K window holds about 2× more than Mistral Medium 3's 128K in a single prompt.

Multilingual

Command A

Command A lists multilingual among its strengths; Mistral Medium 3 does not.

Strong cost-to-capability at $0.40/$2.00

Mistral Medium 3

At $0.4/$2 per 1M tokens it undercuts Command A ($2.5/$10 per 1M tokens), and that gap compounds at volume.

General reasoning, coding and multimodal tasks

Mistral Medium 3

Mistral's mid-tier model at $0.40/$2.00 — efficient general capability with a 128K window, below the 1M-context frontier tier — and it runs cheaper at $0.4/$2 per 1M tokens.

Efficient mid-tier deployment for production workloads

Mistral Medium 3

Mistral's mid-tier model at $0.40/$2.00 — efficient general capability with a 128K window, below the 1M-context frontier tier — and it is the newer of the two.

Lowest cost at scale

Mistral Medium 3

At $0.4/$2 per 1M tokens, it is the cheaper of the two — the gap dominates the bill on high-volume workloads.

Largest single-prompt input

Command A

Its 256K window is about 2× larger than Mistral Medium 3's 128K, fitting roughly 384 pages in one prompt.

Which should you pick?

A cost-sensitive startup shipping high volume

Mistral Medium 3

At $0.4/$2 per 1M tokens it undercuts Command A, and on millions of tokens that margin decides the monthly bill.

Someone analysing very long documents or codebases

Command A

Larger 256K 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 strong cost-to-capability at $0.40/$2.00

Mistral Medium 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 Medium 3: where it fits

Mistral's mid-tier model at $0.40/$2.00 — efficient general capability with a 128K window, below the 1M-context frontier tier. Released May 7, 2025 by Mistral AI, it is built for strong cost-to-capability at $0.40/$2.00, general reasoning, coding and multimodal tasks, efficient mid-tier deployment for production workloads, and text and image input.

Its trade-offs: a 128K context — smaller than the 1M-window flagships here, no published SWE-Bench Verified score, a mid-tier model, not a frontier reasoner, and proprietary, unlike Mistral's open-weight releases. At $0.4 in / $2 out per million tokens, it sits in the budget price band.

The bottom line for this matchup

Command A and Mistral Medium 3 overlap enough that the right pick depends on your specific job. Mistral Medium 3 costs less per token; Command A holds the larger context; and each leads in its own area — Command A for enterprise rag and retrieval, Mistral Medium 3 for strong cost-to-capability at $0.40/$2.00. Rather than crowning one, run the same hard task through both once and let the results decide.

Want both Command A and Mistral Medium 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.

See pricing

Frequently asked questions

Is Command A or Mistral Medium 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 Medium 3 leans toward strong cost-to-capability at $0.40/$2.00, and that positioning usually predicts which feels better on your codebase.

Which is cheaper, Command A or Mistral Medium 3?

Mistral Medium 3 is cheaper — $2.5/$10 per 1M tokens vs $0.4/$2 per 1M tokens, roughly 6.3× apart on input.

Which has the bigger context window?

Command A — 256K vs 128K, about 2× larger. Useful only if the model actually reasons over the full window, which not all do.

Can I use both Command A and Mistral Medium 3 together?

Yes — a multi-model platform like LumiChats gives you Command A, Mistral Medium 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 Medium 3?

Mistral Medium 3 — released May 7, 2025, about 2 months after Command A.

Related comparisons

Specifications and benchmarks reflect publicly reported figures as of June 2026 and may change as providers release updates. Always verify on your own workload.