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AI Choice Engine

Model comparison

Amazon Nova 2 Pro vs Muse Glimmer 30B

Amazon against Meta, compared on context, price, and attributed benchmark results.

Amazon Nova 2 Pro: profile checked October 25, 2026Muse Glimmer 30B: profile checked October 25, 2026Individual provider fields may changeEvidence confidence: Insufficient data — see receipts below

Amazon

Amazon Nova 2 Pro

Balanced

vs

Meta

Muse Glimmer 30B

Balanced · Open weights

AI model capability comparison
SpecificationAmazon Nova 2 ProMuse Glimmer 30B
ProviderAmazonMeta
TierBalancedBalanced
Context windowWinner: 1M131K
Max outputNot verifiedUnverifiedNot verifiedUnverified
Input / 1M tokens$1.25Not verifiedUnverified
Output / 1M tokens$10Not verifiedUnverified
WeightsClosedOpen
ParametersNot verifiedUnverified~29.78B total including vision (checkpoint metadata; marketed as 30B)
Reasoning levelslow, medium, highlow, medium, high, xhigh
Modalitiestext, image, video, audiotext, image
LicenseNot verifiedUnverifiedApache 2.0
ReleasedDecember 2, 2025August 10, 2026

Dates beside benchmark scores refer to the linked source’s publication or capture date unless that source explicitly states when it measured the result. A shared URL alone does not establish comparable runs; unverified setups are marked. Prices are USD per million tokens at standard rates, excluding batch and caching discounts. Values we could not confirm from the provider are shown as “Not verified” rather than estimated.

Pricing tiers

Amazon Nova 2 Pro: Bedrock Global Standard $1.25/$10 per MTok; single-region $1.375/$11. Global Flex/Batch $0.625/$5 and regional $0.6875/$5.50. Global Priority $2.1875/$17.50 and regional $2.40625/$19.25. These are native Nova 2.0 Pro on-demand meters in the complete offer published October 16, 2026, with October 1 effective dates; not custom-model, provisioned-throughput or training prices. No Pro cached-input meter is present in this capture. Billing meters do not establish GA or account access.

Muse Glimmer 30B: Apache 2.0 weights, not served by Meta Model API; no first-party token tariff is verified. Self-hosting incurs compute/storage costs. Native config context is 131,072; longer-context support is a publisher claim, not an independently verified maximum.

BalancedRecord checked October 25, 2026

Amazon Nova 2 Pro

Amazon's closed Nova 2 Pro preview accepts text, images, video and speech and generates text; its launch announcement specifies a one-million-token context.

Best for

  • AWS-native workloads
  • Multimodal
  • Long-context

Watch out

Preview access was announced for Nova Forge customers through their AWS account team. Current account access, a stable API model ID and a hard output cap remain unverified. Launch documentation names low/medium/high thinking; the current detailed thinking guide covers Lite only, so do not transfer its request rules to Pro. The October 1 Artificial Analysis 14-point Pro row is an estimate and is withheld. Omission from a current model list does not prove retirement.

BalancedOpen weightsRecord checked October 25, 2026

Muse Glimmer 30B

Muse Glimmer 30B is Meta's open-weight smaller Muse model for efficient self-hosting.

Best for

  • Open-weight deployments
  • Single-GPU serving
  • Cost-sensitive

Watch out

Native template reasoning_strength low/medium/high/xhigh defaults high. It supports one tool call per turn, not parallel tool calls; standard serving APIs parse the native ATEM format. BF16 is about 60 GB; published 17 GB/20 GB GGUFs also need a separate 1.4 GB vision projector and optional 1.6 GB draft. Actual hardware fit/speed depends on runtime/context; weight footprint excludes KV cache and overhead. Current config fixes 131,072 positions, while longer-context support remains a publisher claim without a verified ceiling. A separate hard output cap remains unknown. Spark Open’s xhigh default, sparse architecture and parallel tool support must not be inherited.

When the cheaper one wins

One of these rows is missing a verified output price, so this page will not name a cheaper winner. Run the model picker against the actual job instead of guessing.

Run the model picker

Evidence confidence: Insufficient data

How strong and complete the evidence behind this comparison is — not a prediction of which model is better. Hard limitations apply: missing pricing; evidence too sparse.

  • Pricing incomplete — No verified token pricing for Muse Glimmer 30B.
  • 3/5 core specs verified on both sides — Not published for at least one side: max output, parameter count.
  • No directly aligned benchmark setup — No benchmark has matching cited sources, source dates, units, effort and recorded run details on both models.
  • Verified within the last 90 days — Older of the two catalog checks was 1 day ago.
  • Both models carry source citations — Each side has at least two catalog sources on record.

Source receipts

Each catalog figure was checked against the provider or an independent second source on the date shown.

Common questions

Amazon Nova 2 Pro vs Muse Glimmer 30B

Answered from the verified figures on this page rather than general guidance.

Which has the larger context window, Amazon Nova 2 Pro or Muse Glimmer 30B?
Amazon Nova 2 Pro accepts 1M tokens against 131K for Muse Glimmer 30B. This only matters if you routinely send very long documents or large codebases.
Do Amazon Nova 2 Pro and Muse Glimmer 30B support the same reasoning levels?
Amazon Nova 2 Pro exposes low, medium, high, while Muse Glimmer 30B exposes low, medium, high, xhigh.
Should I use Amazon Nova 2 Pro or Muse Glimmer 30B?
Both are classified in our balanced tier; this editorial grouping does not imply equal capability. Amazon Nova 2 Pro is a candidate for aws-native workloads; Muse Glimmer 30B is a candidate for open-weight deployments. Compare accuracy, tool reliability, latency and cost on representative tasks.
Can I self-host Amazon Nova 2 Pro or Muse Glimmer 30B?
Muse Glimmer 30B publishes open weights, but self-hosting and third-party provider access depend on the licence, hardware, serving support, and availability. Amazon Nova 2 Pro is a closed model whose supported access paths are controlled by its provider.

Next step

Choosing between them

The verified figures that separate this pair, computed from the catalog rather than restated boilerplate.

  • Context: Amazon Nova 2 Pro takes 1M against 131K for Muse Glimmer 30B — only decisive if your prompts approach the smaller window.
  • Deployment: Muse Glimmer 30B publishes weights you can self-host; the other is API-only.

Choosing a harness rather than a model — Cursor, Copilot, Claude Code, Windsurf, or Lovable? Compare agentic harnesses · Latest releases.