Mistral Small 3.2 24B vs Muse Spark Open

Mistral AI · France  |  Meta · US · Updated June 2026

Quick verdict

Pick Mistral Small 3.2 24B for extremely cheap open-weight model at about $0.075/$0.20 hosted or self-hostable under apache-2.0 with no per-token cost. Pick Muse Spark Open for meta's first open-weight muse model - 816b-parameter moe with 42b active, accepting text, image, video and audio input or artificial analysis intelligence index of 39, first among us open-weight models. On a tight budget at scale, Muse Spark Open is the value pick.

Mistral Small 3.2 24B (Mistral AI, France) and Muse Spark Open (Meta, US) line up two different AI ecosystems against each other — a comparison that is as much about cost philosophy and openness as raw capability. Mistral Small 3.2 24B is mistral's Apache-2.0 open 24B model at about $0.075/$0.20 hosted — very cheap and self-hostable, sized for volume over frontier quality. Muse Spark Open is meta's October 15, 2026 open-weight Muse Spark - an 816B/42B-active multimodal MoE with a 1M context under a gated Muse Model License. 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

SpecMistral Small 3.2 24BMuse Spark Open
ProviderMistral AI (France) Meta (US)
ReleasedJune 20, 2025 October 15, 2026
Context window128K (~197 pages) 1M tokens (~1,500 pages)
Price (in/out)$0.075/$0.2 per 1M tokens Open weight (self-host / free)
Open weight?Yes — self-hostable Yes — self-hostable
Modalitiestext, image, code text, image, video, audio, code
SWE-Bench VerifiedNot published Not published
MRCR v2 @ 1MNot published Not published

Who wins what

Extremely cheap open-weight model at about $0.075/$0.20 hosted

Mistral Small 3.2 24B

Muse Spark Open is comparatively weak here — weakest of the three Muse models (Wonder Full scores 56, Wonder 52)

Self-hostable under Apache-2.0 with no per-token cost

Mistral Small 3.2 24B

Muse Spark Open is comparatively weak here — needs about 1 TB of memory at 4-bit; no first-party per-token price confirmed

Instruction following and function calling at 24B scale

Mistral Small 3.2 24B

Mistral Small 3.2 24B lists instruction following and function calling at 24B scale among its strengths; Muse Spark Open does not.

Meta's first open-weight Muse model - 816B-parameter MoE with 42B active, accepting text, image, video and audio input

Muse Spark Open

Mistral Small 3.2 24B is comparatively weak here — a 24B small model — not a frontier reasoner

Artificial Analysis Intelligence Index of 39, first among US open-weight models

Muse Spark Open

Meta's October 15, 2026 open-weight Muse Spark - an 816B/42B-active multimodal MoE with a 1M context under a gated Muse Model License — and it carries the larger 1M tokens context.

About 143 output tokens/sec; up to 128K output tokens

Muse Spark Open

Its 1M tokens window holds about 7.6× more than Mistral Small 3.2 24B's 128K in a single prompt.

Lowest cost at scale

Muse Spark Open

Its weights are open, so at volume you pay for your own hardware instead of Mistral Small 3.2 24B's $0.075/$0.2 per 1M tokens.

Largest single-prompt input

Muse Spark Open

Its 1M tokens window is about 7.6× larger than Mistral Small 3.2 24B's 128K, fitting roughly 1,500 pages in one prompt.

Which should you pick?

A cost-sensitive startup shipping high volume

→ Muse Spark Open

At Open weight (self-host / free) it undercuts Mistral Small 3.2 24B, and on millions of tokens that margin decides the monthly bill.

Someone analysing very long documents or codebases

→ Muse Spark Open

Larger 1M tokens window fits more in one prompt.

Anyone whose priority is extremely cheap open-weight model at about $0.075/$0.20 hosted

→ Mistral Small 3.2 24B

It is specifically built for that.

Anyone whose priority is meta's first open-weight muse model - 816b-parameter moe with 42b active, accepting text, image, video and audio input

→ Muse Spark Open

That is its strongest area.

An enterprise with regional data-residency rules

→ Muse Spark Open or Mistral Small 3.2 24B

Origin (France vs US) affects where data is processed and which compliance regime applies — check the provider's terms for your region.

Mistral Small 3.2 24B: where it fits

Mistral's Apache-2.0 open 24B model at about $0.075/$0.20 hosted — very cheap and self-hostable, sized for volume over frontier quality. Released June 20, 2025 by Mistral AI, it is built for extremely cheap open-weight model at about $0.075/$0.20 hosted, self-hostable under Apache-2.0 with no per-token cost, instruction following and function calling at 24B scale, and runs on modest hardware for local or private deployment.

Its trade-offs are real: a 24B small model — not a frontier reasoner, context reported as 256K but some references cite 128K native, no published SWE-Bench Verified score, and hosted prices vary by provider; the figure shown is a common host rate. At $0.075 in / $0.2 out per million tokens, it sits in the budget price band.

Muse Spark Open: where it fits

Meta's October 15, 2026 open-weight Muse Spark - an 816B/42B-active multimodal MoE with a 1M context under a gated Muse Model License. Released October 15, 2026 by Meta, it is built for meta's first open-weight Muse model - 816B-parameter MoE with 42B active, accepting text, image, video and audio input, artificial Analysis Intelligence Index of 39, first among US open-weight models, and about 143 output tokens/sec; up to 128K output tokens.

Its trade-offs: weakest of the three Muse models (Wonder Full scores 56, Wonder 52), muse Model License: attribution required and a revenue threshold (reported as about $20M; check the license text) before a separate license is needed, and needs about 1 TB of memory at 4-bit; no first-party per-token price confirmed. As an open-weight model, its running cost is your own hardware rather than a per-token fee.

The bottom line for this matchup

This is less "which is smarter" and more "which ecosystem fits." Mistral Small 3.2 24B (France) and Muse Spark Open (US) differ on pricing philosophy, data-residency, and tooling as much as on raw scores. Muse Spark Open is the cheaper option, which matters at volume. The pragmatic move is to run one real task through both and judge the outputs against your own constraints — including where your data is allowed to be processed.

Want both Mistral Small 3.2 24B and Muse Spark Open 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 Mistral Small 3.2 24B or Muse Spark Open 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, Mistral Small 3.2 24B leans toward extremely cheap open-weight model at about $0.075/$0.20 hosted while Muse Spark Open leans toward meta's first open-weight muse model - 816b-parameter moe with 42b active, accepting text, image, video and audio input, and that positioning usually predicts which feels better on your codebase.

Which is cheaper, Mistral Small 3.2 24B or Muse Spark Open?

Muse Spark Open is cheaper — $0.075/$0.2 per 1M tokens vs Open weight (self-host / free).

Which has the bigger context window?

Muse Spark Open — 1M tokens vs 128K, about 7.6× larger. Useful only if the model actually reasons over the full window, which not all do.

Can I use both Mistral Small 3.2 24B and Muse Spark Open together?

Yes — a multi-model platform like LumiChats gives you Mistral Small 3.2 24B, Muse Spark Open 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, Mistral Small 3.2 24B or Muse Spark Open?

Muse Spark Open — released October 15, 2026, about 16 months after Mistral Small 3.2 24B.

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.