Command A vs Muse Wonder 1.0

Cohere · Global  |  Meta · US · Updated June 2026

Quick verdict

Pick Command A for enterprise rag and retrieval or strong long-context retrieval accuracy. Pick Muse Wonder 1.0 for meta superintelligence labs' first frontier-class reasoning model — a new line distinct from the agentic-coding-focused muse spark family or artificial analysis intelligence index score of 52 (a gated 'wonder full' subscription variant scores 56, tied with claude sonnet 5.5, behind only opus 5.5 at 58). Choose Command A if you need self-hosting or data privacy; Muse Wonder 1.0 if you want a managed API.

Command A (Cohere) and Muse Wonder 1.0 (Meta) 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. Muse Wonder 1.0 is meta Superintelligence Labs' October 12, 2026 debut frontier model — distinct from Muse Spark, scoring 52 on the independent Artificial Analysis Index with a 1M-token, four-modality context window. 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

SpecCommand AMuse Wonder 1.0
ProviderCohere (Global) Meta (US)
ReleasedMarch 2025 October 12, 2026
Context window256K (~384 pages) 1M tokens (~1,573 pages)
Price (in/out)$2.5/$10 per 1M tokens $4/$20 per 1M tokens
Open weight?Yes — self-hostable No — API only
Modalitiestext, code text, image, video, audio
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 runs cheaper at $2.5/$10 per 1M tokens.

Strong long-context retrieval accuracy

Command A

Muse Wonder 1.0 is comparatively weak here — the stronger 'Wonder Full' variant is gated behind $50/$200-per-month Muse Code subscriptions, with no public API or independently verifiable pricing

Multilingual

Command A

Cohere's enterprise-focused model built for retrieval-augmented and grounded workloads — and its weights are open while Muse Wonder 1.0 is API-only.

Meta Superintelligence Labs' first frontier-class reasoning model — a new line distinct from the agentic-coding-focused Muse Spark family

Muse Wonder 1.0

Meta Superintelligence Labs' October 12, 2026 debut frontier model — distinct from Muse Spark, scoring 52 on the independent Artificial Analysis Index with a 1M-token, four-modality context window — and it carries the larger 1M tokens context.

Artificial Analysis Intelligence Index score of 52 (a gated 'Wonder Full' subscription variant scores 56, tied with Claude Sonnet 5.5, behind only Opus 5.5 at 58)

Muse Wonder 1.0

Meta Superintelligence Labs' October 12, 2026 debut frontier model — distinct from Muse Spark, scoring 52 on the independent Artificial Analysis Index with a 1M-token, four-modality context window — and it is the newer of the two.

78.8% on DeepSWE v1.1 long-horizon coding, ahead of both Claude Opus 5.5 (74.2%) and GPT-6 Astra (74.1%)

Muse Wonder 1.0

Its 1M tokens window holds about 4.1× more than Command A's 256K in a single prompt.

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

Muse Wonder 1.0

Its 1M tokens window is about 4.1× larger than Command A's 256K, fitting roughly 1,573 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 Muse Wonder 1.0, and on millions of tokens that margin decides the monthly bill.

Someone analysing very long documents or codebases

→ Muse Wonder 1.0

Larger 1M tokens 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; Muse Wonder 1.0 is API-only.

Anyone whose priority is enterprise rag and retrieval

→ Command A

It is specifically built for that.

Anyone whose priority is meta superintelligence labs' first frontier-class reasoning model — a new line distinct from the agentic-coding-focused muse spark family

→ Muse Wonder 1.0

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.

Muse Wonder 1.0: where it fits

Meta Superintelligence Labs' October 12, 2026 debut frontier model — distinct from Muse Spark, scoring 52 on the independent Artificial Analysis Index with a 1M-token, four-modality context window. Released October 12, 2026 by Meta, it is built for meta Superintelligence Labs' first frontier-class reasoning model — a new line distinct from the agentic-coding-focused Muse Spark family, artificial Analysis Intelligence Index score of 52 (a gated 'Wonder Full' subscription variant scores 56, tied with Claude Sonnet 5.5, behind only Opus 5.5 at 58), 78.8% on DeepSWE v1.1 long-horizon coding, ahead of both Claude Opus 5.5 (74.2%) and GPT-6 Astra (74.1%), and accepts text, image, video, audio, and PDF input against a 1,048,576-token context window.

Its trade-offs: the stronger 'Wonder Full' variant is gated behind $50/$200-per-month Muse Code subscriptions, with no public API or independently verifiable pricing, meta's full safety report had not been published as of launch, first release in a brand-new model family — no track record yet next to Meta's more established Muse Spark line, and benchmark comparisons against Opus 5.5 and GPT-6 Astra are Meta's own self-reported figures. At $4 in / $20 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. Muse Wonder 1.0 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 Command A and Muse Wonder 1.0 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 Muse Wonder 1.0 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 Muse Wonder 1.0 leans toward meta superintelligence labs' first frontier-class reasoning model — a new line distinct from the agentic-coding-focused muse spark family, and that positioning usually predicts which feels better on your codebase.

Which is cheaper, Command A or Muse Wonder 1.0?

Command A is open-weight, so self-hosting means no per-token fee (you pay for hardware instead), while Muse Wonder 1.0 is API-metered at $4/$20 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?

Muse Wonder 1.0 — 1M tokens vs 256K, about 4.1× larger. Useful only if the model actually reasons over the full window, which not all do.

Can I use both Command A and Muse Wonder 1.0 together?

Yes — a multi-model platform like LumiChats gives you Command A, Muse Wonder 1.0 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 Muse Wonder 1.0?

Muse Wonder 1.0 — released October 12, 2026, about 20 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.