Kimi K2.7 Code vs Sonar Pro

At a Glance

Compare
Kimi K2.7 CodeMoonshot AI
Sonar ProPerplexity
Intelligence, Cost, and Efficiency
CostLower is better · Published-token output estimate#9 of 44$0.042 per LiveBench caseUnrankedNot in the 44-model eligible cohort
Pricing and Limits
Input priceFrom · USD / 1M tokens$0.68Deepinfra · Sep 21, 2026$3.00Openrouter · Sep 22, 2026
Output priceFrom · USD / 1M tokens$3.21Openrouter · Sep 22, 2026$15.00Openrouter · Sep 22, 2026
Context windowMaximum documented tokens262K200K
Model facts checkedSep 3, 2026View model evidence →Aug 29, 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 →
No Protocol-Matched Benchmark Yet.Results appear here only when both models share the same benchmark version, metric, evaluation protocol, and evidence class.

Side-by-Side Facts

FieldKimi K2.7 CodeSonar Pro
DeveloperMoonshot AIPerplexity
FamilyKimi K2 7Sonar
ModelKimi K2.7 CodeSonar Pro
VersionKimi K2.7 CodeSonar Pro
Lifecycleactiveactive
Released2026-06-11Unknown
Knowledge cutoffUnknownUnknown
Input modalitiesText, Image, VideoText
Output modalitiesTextText
Context window262K200K
Total parameters1TUnknown
Active parameters32BUnknown
Licensemodified-mitUnknown
Open weightsYesNo
API availableYesYes
Self-hostableYesNo
Provider accessDeepinfra (Standard), Fireworks Ai (Standard), Openrouter (Standard), Together Ai (Standard)Openrouter (Standard), Perplexity (Standard)
Capabilitiesagents, chat, coding, reasoning, tools, visionchat, citations, search

Kimi K2.7 Code Capabilities

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

Sonar Pro Capabilities

chatcitationssearch
Serving providers2
Canonical IDperplexity/sonar-pro

Primary Evidence

Sources and Freshness

Questions

Kimi K2.7 Code vs Sonar Pro FAQs

Is Kimi K2.7 Code or Sonar Pro better for coding?+

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

Which is cheaper, Kimi K2.7 Code or Sonar Pro?+

Kimi K2.7 Code is $0.68 and Sonar Pro is $3.00 per million tokens, so Kimi K2.7 Code is cheaper on this metric. Kimi K2.7 Code is $3.21 and Sonar Pro is $15.00 per million tokens, so Kimi K2.7 Code is cheaper on this metric.

Which has a larger context window, Kimi K2.7 Code or Sonar Pro?+

Kimi K2.7 Code has the larger sourced context window. Kimi K2.7 Code supports 262K and Sonar Pro supports 200K.

Which performs better in benchmarks, Kimi K2.7 Code or Sonar Pro?+

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

Can Kimi K2.7 Code or Sonar Pro be self-hosted?+

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

Can Kimi K2.7 Code and Sonar Pro understand images?+

Kimi K2.7 Code is documented with image input; Sonar Pro is not documented with image input. This reflects supported input modalities, not vision quality.

Which can generate longer answers, Kimi K2.7 Code or Sonar Pro?+

Neither has a larger sourced maximum output. Kimi K2.7 Code is — and Sonar Pro is —.

Do Kimi K2.7 Code and Sonar Pro support reasoning and tool use?+

Kimi K2.7 Code: reasoning, tool calling, and image input. Sonar Pro: none of these features are definitively sourced. Feature support does not establish relative quality.

Which is available from more inference providers, Kimi K2.7 Code or Sonar Pro?+

Kimi K2.7 Code has 4 sourced provider routes; Sonar Pro has 2, so Kimi K2.7 Code has broader tracked availability.

Which offers better value, Kimi K2.7 Code or Sonar Pro?+

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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