Amazon Nova 2 Pro vs Muse Spark 1.1

Amazon · US  |  Meta · US · Updated June 2026

Quick verdict

Pick Amazon Nova 2 Pro for amazon's next-generation nova flagship - a 1m-token context window with selectable reasoning effort or deep aws bedrock integration for teams already building on aws. Pick Muse Spark 1.1 for scaled tool use — 88.1 on mcp atlas, ahead of opus 4.8 and gpt-5.5 (vendor-reported) or subagent orchestration — trained to run as a main agent or a subagent that escalates when stuck. On a tight budget at scale, Muse Spark 1.1 is the value pick.

Amazon Nova 2 Pro (Amazon) and Muse Spark 1.1 (Meta) are two of the models people most often weigh against each other in 2026. Amazon Nova 2 Pro is amazon's next-generation Nova flagship - 1M context, selectable reasoning effort, and deep Bedrock integration, replacing the retiring Nova Premier. Muse Spark 1.1 is meta's first paid, closed-weight frontier model — class-leading agentic tool use at a quarter of rivals' price, but it trails on coding. 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

SpecAmazon Nova 2 ProMuse Spark 1.1
ProviderAmazon (US) Meta (US)
ReleasedDecember 2, 2025 July 9, 2026
Context window1M (~1,500 pages) 1M (~1,573 pages)
Price (in/out)$2.19/$17.5 per 1M tokens $1.25/$4.25 per 1M tokens
Open weight?No — API only No — API only
Modalitiestext, image text, image, video, code
SWE-Bench VerifiedNot published Not published
MRCR v2 @ 1MNot published 54.1%

Who wins what

Amazon's next-generation Nova flagship - a 1M-token context window with selectable reasoning effort

Amazon Nova 2 Pro

Muse Spark 1.1 is comparatively weak here — the 1M window oversells its recall: 54.1 on MRCR v2 at 1M against GPT-5.5's 74.0

Deep AWS Bedrock integration for teams already building on AWS

Amazon Nova 2 Pro

Amazon Nova 2 Pro lists deep AWS Bedrock integration for teams already building on AWS among its strengths; Muse Spark 1.1 does not.

A companion real-time-voice model (Nova 2 Sonic) in the same family

Amazon Nova 2 Pro

Muse Spark 1.1 is comparatively weak here — closed weights end the free, self-hostable Llama path — this is the first model Meta has charged for

Scaled tool use — 88.1 on MCP Atlas, ahead of Opus 4.8 and GPT-5.5 (vendor-reported)

Muse Spark 1.1

At $1.25/$4.25 per 1M tokens it undercuts Amazon Nova 2 Pro ($2.19/$17.5 per 1M tokens), and that gap compounds at volume.

Subagent orchestration — trained to run as a main agent or a subagent that escalates when stuck

Muse Spark 1.1

Meta's first paid, closed-weight frontier model — class-leading agentic tool use at a quarter of rivals' price, but it trails on coding — and it runs cheaper at $1.25/$4.25 per 1M tokens.

Professional agentic work — 54.7 on JobBench, a wide margin over rivals (vendor-reported)

Muse Spark 1.1

Meta's first paid, closed-weight frontier model — class-leading agentic tool use at a quarter of rivals' price, but it trails on coding — and it is the newer of the two.

Lowest cost at scale

Muse Spark 1.1

At $1.25/$4.25 per 1M tokens, it is the cheaper of the two — the gap dominates the bill on high-volume workloads.

Which should you pick?

A cost-sensitive startup shipping high volume

Muse Spark 1.1

At $1.25/$4.25 per 1M tokens it undercuts Amazon Nova 2 Pro, and on millions of tokens that margin decides the monthly bill.

Someone analysing very long documents or codebases

Muse Spark 1.1

Larger 1M window fits more in one prompt.

Anyone whose priority is amazon's next-generation nova flagship - a 1m-token context window with selectable reasoning effort

Amazon Nova 2 Pro

It is specifically built for that.

Anyone whose priority is scaled tool use — 88.1 on mcp atlas, ahead of opus 4.8 and gpt-5.5 (vendor-reported)

Muse Spark 1.1

That is its strongest area.

Amazon Nova 2 Pro: where it fits

Amazon's next-generation Nova flagship - 1M context, selectable reasoning effort, and deep Bedrock integration, replacing the retiring Nova Premier. Released December 2, 2025 by Amazon, it is built for amazon's next-generation Nova flagship - a 1M-token context window with selectable reasoning effort, deep AWS Bedrock integration for teams already building on AWS, a companion real-time-voice model (Nova 2 Sonic) in the same family, and replaces the original Nova Premier, which AWS is retiring in September 2026.

Its trade-offs are real: pricing shown reflects preview-tier rates and may change at general availability, amazon's Nova line has historically scored below independent-intelligence leaders like Claude, GPT, and Gemini, and a newer release with less real-world production track record than established flagships. At $2.19 in / $17.5 out per million tokens, it sits in the mid price band.

Muse Spark 1.1: where it fits

Meta's first paid, closed-weight frontier model — class-leading agentic tool use at a quarter of rivals' price, but it trails on coding. Released July 9, 2026 by Meta, it is built for scaled tool use — 88.1 on MCP Atlas, ahead of Opus 4.8 and GPT-5.5 (vendor-reported), subagent orchestration — trained to run as a main agent or a subagent that escalates when stuck, professional agentic work — 54.7 on JobBench, a wide margin over rivals (vendor-reported), and managing its own context: it compacts the 1M window mid-run instead of relying on external windowing.

Its trade-offs: not the coding leader its launch framing implied — Meta's own report concedes it trails Opus 4.8 and GPT-5.5 on every coding benchmark, the 1M window oversells its recall: 54.1 on MRCR v2 at 1M against GPT-5.5's 74.0, closed weights end the free, self-hostable Llama path — this is the first model Meta has charged for, and uS-only public preview behind a waitlist, and every benchmark is vendor-reported with no third-party replication. At $1.25 in / $4.25 out per million tokens, it sits in the mid price band.

The bottom line for this matchup

Amazon Nova 2 Pro and Muse Spark 1.1 overlap enough that the right pick depends on your specific job. Muse Spark 1.1 costs less per token; Muse Spark 1.1 holds the larger context; and each leads in its own area — Amazon Nova 2 Pro for amazon's next-generation nova flagship - a 1m-token context window with selectable reasoning effort, Muse Spark 1.1 for scaled tool use — 88.1 on mcp atlas, ahead of opus 4.8 and gpt-5.5 (vendor-reported). Rather than crowning one, run the same hard task through both once and let the results decide.

Want both Amazon Nova 2 Pro and Muse Spark 1.1 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 Amazon Nova 2 Pro or Muse Spark 1.1 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, Amazon Nova 2 Pro leans toward amazon's next-generation nova flagship - a 1m-token context window with selectable reasoning effort while Muse Spark 1.1 leans toward scaled tool use — 88.1 on mcp atlas, ahead of opus 4.8 and gpt-5.5 (vendor-reported), and that positioning usually predicts which feels better on your codebase.

Which is cheaper, Amazon Nova 2 Pro or Muse Spark 1.1?

Muse Spark 1.1 is cheaper — $2.19/$17.5 per 1M tokens vs $1.25/$4.25 per 1M tokens, roughly 1.8× apart on input.

Which has the bigger context window?

Effectively neither — 1M vs 1M is a difference of a few percent. Remember advertised ≠ usable: recall typically degrades before the ceiling.

Can I use both Amazon Nova 2 Pro and Muse Spark 1.1 together?

Yes — a multi-model platform like LumiChats gives you Amazon Nova 2 Pro, Muse Spark 1.1 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, Amazon Nova 2 Pro or Muse Spark 1.1?

Muse Spark 1.1 — released July 9, 2026, about 7 months after Amazon Nova 2 Pro.

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.