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Comparison of Meta: Muse Spark 1.3, Krea 3 Edit, Google: Gemini 4 Argon
3 modelsmetaMeta: Muse Spark 1.3Remove ×kreaKrea 3 EditRemove ×googleGoogle: Gemini 4 ArgonRemove ×
What’s differentMuse Spark 1.3 is a multimodal reasoning model from Meta for long-running agentic, multi-agent, and coding workflows. It is designed to keep track of information across extended tasks, work through...Edits and combines reference images using text instructions, with optional prompt expansion, output-size controls, and reproducible generation through a seed.Long decode can use the unified 1M-token budget for output; reads video, audio and PDFs, with implicit-only caching.
DateSep 2, 2026ListedOct 14, 2026ListedSep 30, 2026Released
Listed rate$1.25 in / $4.25 out/ 1M tokensMeta · via OpenRouter · all routes ↗meta$0.025/ megapixelfal · all routes ↗Output + reference images$1.00 in / $5.00 out/ 1M tokensGoogle AI Studio · via OpenRouter · all routes ↗google-ai-studio/flex · tier=flex
Provider endpoints2 endpoints →1 endpoint →8 endpoints →
AA Intelligence ↗4.3.2Not reportedNot reported52.56 ↗Effort: high · HighIndependent result
AA-Briefcase ↗1.1Not reportedNot reported1,485.76 ↗Effort: high · HighIndependent result
GDPval-AA ↗2.1Not reportedNot reported1,623.11 ↗Effort: high · HighIndependent result
AutomationBench-AA ↗AA Index 4.3.2 collectionNot reportedNot reported77.51% ↗Effort: high · HighIndependent result
Terminal-Bench 4.0 · AA ↗Not reportedNot reported57.07% ↗Effort: high · HighHarness unreportedIndependent result
SciCode ↗AA Index 4.3.2 collectionNot reportedNot reported61.81% ↗AA · Under reviewEffort: high · HighIndependent result
Humanity’s Last Exam ↗AA Index 4.3.2 collectionNot reportedNot reported57.09% ↗Effort: high · HighIndependent result
GDP.pdf ↗AA Index 4.3.2 collectionNot reportedNot reported21.8% ↗Effort: high · HighIndependent result
CritPt ↗AA Index 4.3.2 collectionNot reportedNot reported27.14% ↗AA · Under reviewEffort: high · HighIndependent result
AA-Omniscience ↗AA Index 4.3.2 collectionNot reportedNot reported42.35 ↗Effort: high · HighIndependent result
AA-LCR ↗1.1Not reportedNot reported79.67% ↗Effort: high · HighIndependent result
LiveBench ↗2.0 · 2026-10-14 (dataset 2026-09-02)Not reportedNot reported84.1% ↗Effort: high · single run · equal mean of 7 suitesIndependent result
LiveBench Design ↗2.0 · 2026-10-14 (dataset 2026-09-02)Not reportedNot reported73.7% ↗Effort: high · single runIndependent result
LiveBench Research ↗2.0 · 2026-10-14 (dataset 2026-09-02)Not reportedNot reported83.1% ↗Effort: high · single runIndependent result
LiveBench Browser Use ↗2.0 · 2026-10-14 (dataset 2026-09-02)Not reportedNot reported92% ↗Effort: high · single runIndependent result
LiveBench Coding ↗2.0 · 2026-10-14 (dataset 2026-09-02)Not reportedNot reported89.7% ↗Effort: high · single runIndependent result
LiveBench Agentic ↗2.0 · 2026-10-14 (dataset 2026-09-02)Not reportedNot reported69.9% ↗Effort: high · single runIndependent result
LiveBench Data Analysis ↗2.0 · 2026-10-14 (dataset 2026-09-02)Not reportedNot reported85.2% ↗Effort: high · single runIndependent result
LiveBench Reasoning ↗2.0 · 2026-10-14 (dataset 2026-09-02)Not reportedNot reported95.1% ↗Effort: high · single runIndependent result
Context window1M—1M
Max output943.7K—943.7K
Parameters———
Tool callingSupportedNot reportedSupported
Structured outputSupportedNot reportedSupported
Image inputSupportedNot reportedSupported
Audio inputNot reportedNot reportedSupported
Video inputSupportedNot reportedSupported
ReasoningSupportedNot reportedSupported
Prompt cachingSupportedNot reportedSupported

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