Claude Opus 4.7 vs Kimi K2 Thinking

At a Glance

Compare
Kimi K2 ThinkingMoonshot AI
Intelligence, Cost, and Efficiency
IntelligenceHigher is better · MM Intelligence v2.5#11 of 4679.0 score · 3/3 sources · completeUnrankedNot in the 46-model eligible cohort
CostLower is better · Published-token output estimate#37 of 44$0.286 per LiveBench caseUnrankedNot in the 44-model eligible cohort
EfficiencyHigher is better · MM Efficiency v1.5#20 of 3852.7 score · 3/3 sources · completeUnrankedNot in the 38-model eligible cohort
Pricing and Limits
Input priceFrom · USD / 1M tokens$5.00Anthropic · Sep 3, 2026$0.60Openrouter · Sep 23, 2026
Output priceFrom · USD / 1M tokens$25.00Anthropic · Sep 3, 2026$2.50Openrouter · Sep 23, 2026
Context windowMaximum documented tokens1,000K262K
Model facts checkedSep 3, 2026View model evidence →Aug 28, 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 →
BenchmarkClaude Opus 4.7Kimi-K2-Thinking
ToneBench2026-09-11-10-task-4ef099199c9c · overall_score · unverified85.49100% of row best · points · Claude Opus 4.7 · 4,840 output tokens / case78.5592% of row best · points · Kimi K2 Thinking · 7,821 output tokens / case
Overall ResultCounted from the protocol-matched rows above0 benchmark winsNo 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

FieldClaude Opus 4.7Kimi-K2-Thinking
DeveloperAnthropicMoonshot AI
FamilyClaude 4Kimi K2 Thinking
ModelClaude Opus 4.7Kimi-K2-Thinking
VersionClaude Opus 4.7Kimi-K2-Thinking
Lifecycleactiveactive
Released2026-04-162025-11-06
Knowledge cutoff2026-01-01Unknown
Input modalitiesText, ImageText
Output modalitiesTextText
Context window1,000K262K
Total parametersUnknown1T
Active parametersUnknown32B
LicenseUnknownother
Open weightsNoYes
API availableYesYes
Self-hostableNoYes
Provider accessAnthropic (Standard), Deepinfra (Standard)Hugging Face (Standard), Openrouter (Standard)
Capabilitieschat, generation, reasoning, structured_outputs, toolschat, generation, reasoning, tools

Claude Opus 4.7 Capabilities

chatgenerationreasoningstructured outputstools
Serving providers2
Canonical IDanthropic/claude-opus-4-7

Kimi K2 Thinking Capabilities

chatgenerationreasoningtools
Serving providers2
Canonical IDmoonshotai/Kimi-K2-Thinking

Primary Evidence

Sources and Freshness

Questions

Claude Opus 4.7 vs Kimi K2 Thinking FAQs

Is Claude Opus 4.7 or Kimi K2 Thinking better for coding?+

This comparison does not currently contain a protocol-matched coding benchmark for both Claude Opus 4.7 and Kimi K2 Thinking, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.

Which is cheaper, Claude Opus 4.7 or Kimi K2 Thinking?+

Claude Opus 4.7 is $5.00 and Kimi K2 Thinking is $0.60 per million tokens, so Kimi K2 Thinking is cheaper on this metric. Claude Opus 4.7 is $25.00 and Kimi K2 Thinking is $2.50 per million tokens, so Kimi K2 Thinking is cheaper on this metric.

Which has a larger context window, Claude Opus 4.7 or Kimi K2 Thinking?+

Claude Opus 4.7 has the larger sourced context window. Claude Opus 4.7 supports 1,000K and Kimi K2 Thinking supports 262K.

Which performs better in benchmarks, Claude Opus 4.7 or Kimi K2 Thinking?+

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

Can Claude Opus 4.7 or Kimi K2 Thinking be self-hosted?+

Kimi K2 Thinking is the only model in this pair currently marked as self-hostable. Claude Opus 4.7 is not marked open weight; Kimi K2 Thinking is open weight.

Can Claude Opus 4.7 and Kimi K2 Thinking understand images?+

Claude Opus 4.7 is documented with image input; Kimi K2 Thinking is not documented with image input. This reflects supported input modalities, not vision quality.

Which can generate longer answers, Claude Opus 4.7 or Kimi K2 Thinking?+

Kimi K2 Thinking has the larger sourced maximum output: Claude Opus 4.7 supports 128K and Kimi K2 Thinking supports 131K output tokens.

Do Claude Opus 4.7 and Kimi K2 Thinking support reasoning and tool use?+

Claude Opus 4.7: reasoning, tool calling, and image input. Kimi K2 Thinking: reasoning and tool calling. Feature support does not establish relative quality.

Which is available from more inference providers, Claude Opus 4.7 or Kimi K2 Thinking?+

Claude Opus 4.7 has 2 sourced provider routes; Kimi K2 Thinking has 2, a tie.

Which offers better value, Claude Opus 4.7 or Kimi K2 Thinking?+

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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