Code Arena WebDev
preliminary Elo
1,538 ±14
Live human-preference WebDev result from 2,083 votes. Arena currently labels this entry Preliminary.
Muse Spark 1.1 benchmarks & scores
Meta
Tentative Proprietary Released Jul 2026
56.2
Tentative VCI · #12
Current benchmark data gives Muse Spark 1.1 a tentative Vibe Coding Index of 56.2, placing it at rank #12.
Tentative estimate. The 56.2 VCI uses the best current source evidence. Intelligence 50.6, Coding 73.3, Agentic 37.5. Every score and rank will update as fresh results arrive.
Tentative quality
#12/90
56.2
Tentative VCI
Price
#59/91
$2
$/M blended
Current benchmark evidence
Muse Spark 1.1 benchmark results
The provisional multi-source profile and live Arena WebDev result place Muse Spark 1.1 at tentative rank #12.
Artificial Analysis supplies an independent anchor. The tentative VCI also incorporates the broader launch benchmark suite and Arena WebDev, which still labels Kimi Preliminary.
Artificial Analysis profile ↗
Kimi guide ↗
OpenRouter listing ↗
Suite radar
Suite scores
Intelligence
General reasoning & knowledge (Intelligence Index)
50.6
Coding
Code generation & software tasks (Coding Index)
73.3
Agentic
Multi-step tool use & agentic workflows (Agentic Index)
37.5
Source record
Source. Artificial Analysis (artificialanalysis.ai) via OpenRouter (openrouter.ai/rankings).
TheVibeFather rankings
TentativeMuse Spark 1.1 practical agentic coding scorecard
This is our tentative algorithmic assessment of where Muse Spark 1.1 ranks for common vibe coding and agentic engineering workflows, calculated consistently from the estimated Intelligence, Coding, and Agentic signals above.
Tentative VibeFather rating
5.6
/10
#12 of 90 models
Practical area
Our score
Field rank
Small, well-defined code changes
Precision on scoped edits, fixes, and implementation tasks.
Strong
6.6/10
Field rank
#11 / 90
UI and CSS iteration
Front-end implementation with iterative tool-driven refinement.
Strong
6.6/10
Field rank
#12 / 90
Routine debugging
Diagnosing failures and turning reasoning into correct code changes.
Strong
6.1/10
Field rank
#11 / 90
Repository-wide refactors
Coordinating larger edits across files while preserving intent.
Capable
5.7/10
Field rank
#12 / 90
Architecture decisions
Reasoning through tradeoffs, constraints, and system-level choices.
Capable
4.6/10
Field rank
#13 / 90
Tool use and workflow execution
Planning and completing multi-step work with tools and feedback loops.
Capable
4.6/10
Field rank
#14 / 90
Long autonomous coding tasks
Sustaining coherent progress across longer agentic engineering runs.
Mixed
4.0/10
Field rank
#14 / 90
Overall VibeFather rating
Our complete Vibe Coding Index, expressed on the same 0–10 practical scale.
Capable
5.6/10
Field rank
#12 / 90
1 · Tentative signals
We start with Intelligence, Coding, Agentic benchmark evidence, currently estimated from launch-period results, and preserve missing values as unverified.
2 · Practical lenses
Our code-controlled algorithm blends the native 0–100 signals by workflow and expresses the result on a stable 0–10 scale. Every required input must be present.
3 · Field ranking
Each workflow score is ranked against every model with comparable evidence, so positions update when the benchmark field changes.
The Vibe Coding Index is TheVibeFather’s code-controlled 0–100 composite for practical coding and agentic capability. Every score and rank in this Kimi K3 scorecard is tentative until final source indices arrive. Price and adoption are reported independently and never alter quality. Exact weighting remains proprietary, inputs, missing-data behavior, and per-category ranks are disclosed here. Read the benchmark methodology →
Where Muse Spark 1.1 sits
Its logo stays full-color and highlighted while the rest of the field recedes for quick comparison.
Alibaba
Amazon
Anthropic
Cohere
DeepSeek
Google
Inclusionai
Kwaipilot
Meta
Meta Llama
MiniMax
Mistral
Moonshot
NVIDIA
Nex Agi
OpenAI
Stepfun
Tencent
Upstage
Xiaomi
Zhipu
xAI
Hover, tap or focus a model for axis guides · resting dashed lines = medians
20 model(s) hidden — data not yet verified Model benchmark FAQ
Muse Spark 1.1 for vibe coding and agentic engineering
Answers update from this model’s current sourced scores, practical rankings, and verified pricing.
What are the current Muse Spark 1.1 benchmark results?
The current tentative profile gives Muse Spark 1.1 a 56.2 Vibe Coding Index from Intelligence 50.6, Coding 73.3, and Agentic 37.5. Reported launch results also include on GDPval-AA v2 at #, on AA-Briefcase at #, and on BrowseComp at #.
What are the reported Muse Spark 1.1 coding benchmark scores?
The launch-reported coding chart lists on DeepSWE, on Terminal Bench 2.1, on FrontierSWE, on Program Bench, on the internal Kimi Code Bench 2.0, and on SWE Marathon. Public run files and independent reproduction are still pending.
Where would Muse Spark 1.1 rank?
The current multi-source tentative VCI places Muse Spark 1.1 at rank #12. Arena Code WebDev currently places it #11 at 1,538 ±14, Arena labels that result preliminary while more votes arrive.
Are the Muse Spark 1.1 benchmark scores verified?
The 56.2 VCI, its three component scores, and the #12 placement remain tentative. The calculation uses the best current source evidence and will update automatically as fresh benchmark snapshots arrive.
How much does Muse Spark 1.1 cost?
OpenRouter currently lists Muse Spark 1.1 at $1.25 per million input tokens and $4.25 per million output tokens.
What is confirmed about Muse Spark 1.1?
Moonshot confirms a 2.8-trillion-parameter model with native visual understanding and a 1M-token context window. OpenRouter also lists the live model and current pricing.