Skip to content
ModelCap

Head-to-head comparison

Muse Spark 1.3 Contributor vs Kimi K2 Thinking

Muse Spark 1.3 Contributor (Meta) and Kimi K2 Thinking (Moonshot AI) compared on the ModelCap Index, API price, context window, provider availability, weight access and every public benchmark board they share. Figures are the same ones shown on the live rankings; nothing here is a hidden score.

Snapshot as of 3 September 2026

As of 3 September 2026, Kimi K2 Thinking holds the stronger ModelCap Index position (#34 vs #37); Muse Spark 1.3 Contributor is 12.5× cheaper per output token ($0.20/1M vs $2.50/1M); and Muse Spark 1.3 Contributor offers the longer context window (1M vs 262K tokens).

Which should you choose?

Choose Muse Spark 1.3 Contributor if…

  • API cost matters — $0.20/1M output tokens against $2.50/1M, about 12.5× cheaper.
  • your workload is prompt-heavy — input tokens cost $0.10/1M against $0.60/1M.
  • you need the longer context window — 1M tokens against 262K.
  • you want the more recently listed model — Muse Spark 1.3 Contributor was listed 2 September 2026, Kimi K2 Thinking 6 November 2025.

Choose Kimi K2 Thinking if…

  • you want the stronger overall ModelCap Index position — #34 against #37 (58.7 vs 57.4 points).
  • you want provider choice — 2 listed API providers against 1.

Muse Spark 1.3 Contributor vs Kimi K2 Thinking: specs, pricing and context

Specification comparison of Muse Spark 1.3 Contributor and Kimi K2 Thinking
FieldMuse Spark 1.3 ContributorMetaKimi K2 ThinkingMoonshot AI
ModelCap Index position#37#34
Index score57.458.7
EvidenceEstimatedMeasured
Input price / 1M tokens$0.10$0.60
Output price / 1M tokens$0.20$2.50
Context window1M tokens262K tokens
Max output tokens944K100K
API providers listed12
Weight accessAPI onlyRestricted license
Input modalitiesText, Image, Video, File, AudioText
First listed2 September 20266 November 2025
PublisherMetaMoonshot AI

Evidence: publisher corpus prior · leave-one-anchor-out calibrated · 3 public benchmark observations across 3 boards. Prices are the lowest listed API offer per million tokens observed on the OpenRouter catalogue.

Benchmark scores: Muse Spark 1.3 Contributor vs Kimi K2 Thinking

Public benchmark boards where Muse Spark 1.3 Contributor or Kimi K2 Thinking has a published result
BoardMuse Spark 1.3 ContributorKimi K2 ThinkingLeads
Arena codingArena (LMArena)—14861481–1492TurboOnly one result
SWE-benchSWE-bench (Princeton / SWE-agent team)—63.4%ThinkingOnly one result
AA Intelligence IndexArtificial Analysis—33.5intelligence-indexOnly one result
AA τ²-Bench TelecomArtificial Analysis—93.0%tau2-bench-telecomOnly one result
AA Humanity's Last ExamArtificial Analysis—23.8%humanitys-last-examOnly one result

Scores are the sources' own published figures for each model's best evaluated configuration; ModelCap never re-runs a benchmark.

Want a different pairing? Open the interactive comparison tool to swap either model for any current ranked language model.

Muse Spark 1.3 Contributor vs Kimi K2 Thinking: common questions

Is Muse Spark 1.3 Contributor better than Kimi K2 Thinking?

Kimi K2 Thinking ranks higher on the ModelCap Index as of 3 September 2026: #34 against #37. That is a capability ranking built from public benchmark evidence with published uncertainty; whether it is "better" for you also depends on price, context and where you can run it.

Is Muse Spark 1.3 Contributor cheaper than Kimi K2 Thinking?

Muse Spark 1.3 Contributor is cheaper on output tokens: $0.20/1M against $2.50/1M. Input tokens are $0.10/1M for Muse Spark 1.3 Contributor and $0.60/1M for Kimi K2 Thinking. Prices are the lowest listed API offer ModelCap observed, in USD per million tokens.

Which has the bigger context window, Muse Spark 1.3 Contributor or Kimi K2 Thinking?

Muse Spark 1.3 Contributor has the larger context window: 1M tokens against 262K.

Which is better for coding, Muse Spark 1.3 Contributor or Kimi K2 Thinking?

The two models do not share a coding benchmark board on ModelCap yet, so no head-to-head coding score is published; the ModelCap Index position is the closest overall signal.

Are Muse Spark 1.3 Contributor and Kimi K2 Thinking open-weight models?

Muse Spark 1.3 Contributor: API only. Kimi K2 Thinking: Restricted license. Open weights mean the checkpoint can be downloaded and self-hosted under its licence; API-only models are available solely through hosted endpoints.

Where can I run Muse Spark 1.3 Contributor and Kimi K2 Thinking?

ModelCap currently lists 1 API provider for Muse Spark 1.3 Contributor and 2 for Kimi K2 Thinking, from the OpenRouter catalogue snapshot the site serves; each model page lists the providers and their prices.

How current is this Muse Spark 1.3 Contributor vs Kimi K2 Thinking comparison?

Every figure comes from the sealed ModelCap dataset published 3 September 2026; the page re-renders within a minute of each data refresh, and the ModelCap Index positions are the same ones shown on the live rankings.

Explore further