Muse Spark 1.1 vs Kimi K2.7 Code

At a Glance

Compare
Kimi K2.7 CodeMoonshot AI
Intelligence, Cost, and Efficiency
CostLower is better · Published-token output estimateUnrankedNot in the 44-model eligible cohort#9 of 44$0.042 per LiveBench case
Pricing and Limits
Input priceFrom · USD / 1M tokensNot reported$0.68Deepinfra · Sep 22, 2026
Output priceFrom · USD / 1M tokensNot reported$3.21Openrouter · Sep 22, 2026
Context windowMaximum documented tokens1,000K262K
Model facts checkedSep 3, 2026View model evidence →Sep 3, 2026View model evidence →

Token prices are the lowest available sourced USD rates; input and output may use different providers. Cost ranking estimates output spend on LiveBench, not a full request bill. Ranking methodology →

Available Benchmarks

All benchmark results →
BenchmarkMuse Spark 1.1Kimi K2.7 Code
LiveBench2026-06-25 · overall · leader78.57100% of row best · percent · muse-spark-1.1-xhigh · 13,652 output tokens / case71.4591% of row best · percent · kimi-k2.7-code · 13,007 output tokens / case
Overall ResultCounted from the protocol-matched rows above1 benchmark winNo overall winner0 benchmark winsNo overall winner

Third-party benchmark Only like-for-like primary-publisher results are shown; raw scores, relative scores, configuration, and token spend remain visible.

Side-by-Side Facts

FieldMuse Spark 1.1Kimi K2.7 Code
DeveloperMetaMoonshot AI
FamilyMuse SparkKimi K2 7
ModelMuse Spark 1.1Kimi K2.7 Code
VersionMuse Spark 1.1Kimi K2.7 Code
Lifecyclepreviewactive
Released2026-07-092026-06-11
Knowledge cutoffUnknownUnknown
Input modalitiesText, Image, Video, AudioText, Image, Video
Output modalitiesTextText
Context window1,000K262K
Total parametersUnknown1T
Active parametersUnknown32B
LicenseUnknownmodified-mit
Open weightsNoYes
API availableYesYes
Self-hostableNoYes
Provider accessUnknownDeepinfra (Standard), Fireworks Ai (Standard), Openrouter (Standard), Together Ai (Standard)
Capabilitieschat, computer-use, generation, reasoning, research, structured_outputs, toolsagents, chat, coding, reasoning, tools, vision

Muse Spark 1.1 Capabilities

chatcomputer-usegenerationreasoningresearchstructured outputstools
Serving providers0
Canonical IDmeta-llama/muse-spark-1.1

Kimi K2.7 Code Capabilities

agentschatcodingreasoningtoolsvision
Serving providers4
Canonical IDmoonshotai/Kimi-K2.7-Code

Primary Evidence

Sources and Freshness

Questions

Muse Spark 1.1 vs Kimi K2.7 Code FAQs

Is Muse Spark 1.1 or Kimi K2.7 Code better for coding?+

This comparison does not currently contain a protocol-matched coding benchmark for both Muse Spark 1.1 and Kimi K2.7 Code, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.

Which is cheaper, Muse Spark 1.1 or Kimi K2.7 Code?+

Only Kimi K2.7 Code has a directly sourced input price: $0.68 per million tokens. Only Kimi K2.7 Code has a directly sourced output price: $3.21 per million tokens.

Which has a larger context window, Muse Spark 1.1 or Kimi K2.7 Code?+

Muse Spark 1.1 has the larger sourced context window. Muse Spark 1.1 supports 1,000K and Kimi K2.7 Code supports 262K.

Which performs better in benchmarks, Muse Spark 1.1 or Kimi K2.7 Code?+

There is no overall benchmark winner: At least two independently verified, protocol-matched benchmarks are required for an overall winner.

Can Muse Spark 1.1 or Kimi K2.7 Code be self-hosted?+

Kimi K2.7 Code is the only model in this pair currently marked as self-hostable. Muse Spark 1.1 is not marked open weight; Kimi K2.7 Code is open weight.

Can Muse Spark 1.1 and Kimi K2.7 Code understand images?+

Muse Spark 1.1 is documented with image input; Kimi K2.7 Code is documented with image input. This reflects supported input modalities, not vision quality.

Which can generate longer answers, Muse Spark 1.1 or Kimi K2.7 Code?+

Neither has a larger sourced maximum output. Muse Spark 1.1 is — and Kimi K2.7 Code is —.

Do Muse Spark 1.1 and Kimi K2.7 Code support reasoning and tool use?+

Muse Spark 1.1: reasoning, tool calling, and image input. Kimi K2.7 Code: reasoning, tool calling, and image input. Feature support does not establish relative quality.

Which is available from more inference providers, Muse Spark 1.1 or Kimi K2.7 Code?+

Muse Spark 1.1 has 0 sourced provider routes; Kimi K2.7 Code has 4, so Kimi K2.7 Code has broader tracked availability.

Which offers better value, Muse Spark 1.1 or Kimi K2.7 Code?+

There is no universal value winner. Compare the input and output prices above with the matched benchmark result for your workload: cheaper tokens can be offset by different quality, token usage, latency, or provider availability.

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