Claude Haiku 4.5 vs Command A

Anthropic · US  |  Cohere · Global · Updated June 2026

Quick verdict

Pick Claude Haiku 4.5 for fastest claude model or near-frontier coding for its tier — 73.3% on swe-bench verified. Pick Command A for enterprise rag and retrieval or strong long-context retrieval accuracy. Choose Command A if you need self-hosting or data privacy; Claude Haiku 4.5 if you want a managed API.

Claude Haiku 4.5 (Anthropic) and Command A (Cohere) are two of the models people most often weigh against each other in 2026. Claude Haiku 4.5 is anthropic's fastest, most compact model — built for speed and volume. Command A is cohere's enterprise-focused model built for retrieval-augmented and grounded workloads. They diverge most on price, context window and open vs. closed weights — each quantified below from the models' real specs.

Key differences at a glance

Side-by-side specs

SpecClaude Haiku 4.5Command A
ProviderAnthropic (US) Cohere (Global)
ReleasedOctober 15, 2025 March 2025
Context window200K (~300 pages) 256K (~384 pages)
Price (in/out)$1/$5 per 1M tokens $2.5/$10 per 1M tokens
Open weight?No — API only Yes — self-hostable
Modalitiestext, image, code text, code
SWE-Bench Verified73.3% Not published
MRCR v2 @ 1MNot published Not published

Who wins what

Fastest Claude model

Claude Haiku 4.5

Anthropic's fastest, most compact model — built for speed and volume — and it runs cheaper at $1/$5 per 1M tokens.

Near-frontier coding for its tier — 73.3% on SWE-Bench Verified

Claude Haiku 4.5

Anthropic's fastest, most compact model — built for speed and volume — and it is the newer of the two.

Low-latency, high-volume API calls

Claude Haiku 4.5

At $1/$5 per 1M tokens it undercuts Command A ($2.5/$10 per 1M tokens), and that gap compounds at volume.

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 1.3× more than Claude Haiku 4.5's 200K in a single prompt.

Multilingual

Command A

Cohere's enterprise-focused model built for retrieval-augmented and grounded workloads — and its weights are open while Claude Haiku 4.5 is API-only.

Lowest cost at scale

Claude Haiku 4.5

At $1/$5 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 1.3× larger than Claude Haiku 4.5's 200K, fitting roughly 384 pages in one prompt.

Which should you pick?

A cost-sensitive startup shipping high volume

Claude Haiku 4.5

At $1/$5 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.

A team with data-privacy or self-hosting needs

Command A

Open weights let you run it on your own hardware; Claude Haiku 4.5 is API-only.

Anyone whose priority is fastest claude model

Claude Haiku 4.5

It is specifically built for that.

Anyone whose priority is enterprise rag and retrieval

Command A

That is its strongest area.

Claude Haiku 4.5: where it fits

Anthropic's fastest, most compact model — built for speed and volume. Released October 15, 2025 by Anthropic, it is built for fastest Claude model, near-frontier coding for its tier — 73.3% on SWE-Bench Verified, low-latency, high-volume API calls, and cheapest Claude tier at $1/$5.

Its trade-offs are real: smallest context in the family (200K), and not for deep reasoning. At $1 in / $5 out per million tokens, it sits in the budget price band.

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: less consumer presence, and narrower modality support. At $2.5 in / $10 out per million tokens, it sits in the mid price band.

The bottom line for this matchup

The defining split here is open vs. closed. Command A gives you weights you control — self-host it, fine-tune it, keep data in-house, pay only for hardware. Claude Haiku 4.5 gives you a managed, always-updated API with no infrastructure to run. Teams with GPUs, privacy requirements, or huge volume often favour the open model; teams that want zero ops and the latest capabilities favour the closed one. Capability is close enough that this operational question, not the benchmark, usually decides it.

Want both Claude Haiku 4.5 and Command A 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 Claude Haiku 4.5 or Command A better for coding?

Public SWE-Bench figures are not available for Command A, so the honest test is your own repository — run an identical real bug through both. By design, Claude Haiku 4.5 leans toward fastest claude model while Command A leans toward enterprise rag and retrieval, and that positioning usually predicts which feels better on your codebase.

Which is cheaper, Claude Haiku 4.5 or Command A?

Command A is open-weight, so self-hosting means no per-token fee (you pay for hardware instead), while Claude Haiku 4.5 is API-metered at $1/$5 per 1M tokens. For most teams without GPUs, the API model is cheaper to start; at very high volume, self-hosting can win.

Which has the bigger context window?

Command A — 256K vs 200K, about 1.3× larger. Useful only if the model actually reasons over the full window, which not all do.

Can I use both Claude Haiku 4.5 and Command A together?

Yes — a multi-model platform like LumiChats gives you Claude Haiku 4.5, Command A 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, Claude Haiku 4.5 or Command A?

Claude Haiku 4.5 — released October 15, 2025, about 8 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.