Muse Spark
Context 262K tokens
Providers
No provider publishes an API price for this model yet, so no cost can be modeled.
Composite
3 of 7 inputs · 1 from the model family6 radar axes: DesignArena's two boards share one43.3
AA Coding v4.x 58.6Coding Agent v1.4 —AA Intelligence (est.) 19.7AA Agentic —Epoch ECI 152.2Software ECI —DesignArena —/—
Radar: percentile among all models measured on each input; a gap means not measured.
Benchmark sheet
17 of 319 registered benchmark versions · bars show the percentile among all models measured on each benchmark.
1 of 18 values are Meta's own claims (†), not independent measurements; a matching independent result replaces a claim as soon as one exists.
- Epoch ECI · attached
Agentic
AA-Briefcase28644 Elo
AA-Briefcase published 2026-09-10 → · Published board — Tests multi-week professional knowledge-work projects with linked tasks and large source collections.
GDPval-AA v2541,076 Elo
GDPval-AA v2 v2 → · Published board — Tests professional knowledge-work deliverables across occupations using AA's Stirrup harness.
Terminal-Bench Hard (AA)9245.5%
Terminal-Bench Hard (AA) pinned revision 74221fb → · Published board — Tests a pinned 44-task hard subset of terminal-based work using Terminus 2.
Terminal-Bench v2.1 (AA)6162.2%
Terminal-Bench v2.1 (AA) v2.1 → · Published board — Tests terminal-based work on the 89-task verified refresh using Terminus 2.
Coding
SWE Atlas Codebase QnA (Scale AI)1124.2%
SWE Atlas Codebase QnA (Scale AI) published 2026-09-15 → · Published board — How well a coding agent answers deep questions about a real codebase, graded against expert rubrics.
SWE Atlas Test Writing (Scale AI)1131.1%
SWE Atlas Test Writing (Scale AI) published 2026-09-15 → · Published board — Whether a coding agent writes production-grade tests for real repositories, graded with rubrics and LLM judges.
SWE-Bench Pro Publicdeveloper's claim55.0%† self-reported by the developer
SWE-Bench Pro Public published 2026-09-10 → · Published board — A software-engineering evaluation of long-horizon tasks in public repositories, scored by patches passing both new and regression tests.
AA Coding Index v4.x · frozen 2026-10-276758.6
AA Coding Index v4.x · frozen 2026-10-27 → · Published board — Artificial Analysis withdrew the Coding Index with Intelligence Index v5.0 (2026-10-28). These are the last v4.x values, frozen with their own date (2026-10-27).
Instruction-following
IFBench (AA single-turn)9575.9%
IFBench (AA single-turn) published 2026-09-10 → · Published board — Tests precise single-turn instructions with deterministic rule checks.
Knowledge
Humanity's Last Exam (AA text-only)9040.7%
Humanity's Last Exam (AA text-only) published 2026-09-10 → · Published board — Tests expert-level knowledge on AA's text-only Humanity's Last Exam subset.
AA-Omniscience Index867.17
AA-Omniscience Index published 2026-09-10 → · Published board — Tests factual reliability while rewarding correct answers and penalizing hallucinations.
Long-context
AA-LCR v1.18178.0%
AA-LCR v1.1 v1.1 → · Published board — Tests reasoning across multiple long documents with corrected answer keys and grading.
Science
CritPt (AA)8511.3%
CritPt (AA) published 2026-09-10 → · Published board — Tests research-level physics reasoning with Python, symbolic and numerical answers.
GPQA Diamond (AA)8588.4%
GPQA Diamond (AA) published 2026-09-10 → · Published board — Tests graduate-level biology, physics and chemistry knowledge on the Diamond subset.
GPQA Diamond (Epoch AI run)6089.8%
GPQA Diamond (Epoch AI run) published 2026-09-18 → · Published board — Epoch AI's own inspect-ai runs of GPQA Diamond, the 198-question graduate-level science multiple-choice set.
Tool-use
τ²-Bench Telecom (AA)8791.5%
τ²-Bench Telecom (AA) published 2026-09-10 → · Published board — Tests dual-control telecom agents that coordinate tool use with a simulated user.
MCP Atlas (Scale AI)7582.2%
MCP Atlas (Scale AI) published 2026-09-21 → · Published board — How reliably a model completes realistic multi-step workflows over real Model Context Protocol servers: discovering the right tool in a noisy tool menu, calling it with correct parameters, recovering from errors and synthesising the results into an accurate final answer.
Vision
MMMU Pro (AA)8680.5%
MMMU Pro (AA) published 2026-09-10 → · Published board — Tests multimodal understanding using challenging ten-option questions.
Missing coverage · 302 benchmark versions
No result does not mean a zero, or that the model was never tested. Collection failures and disputed versions retain their distinct status.