Claude Sonnet 5 vs Kimi K2.6

At a Glance

Compare
Kimi K2.6Moonshot AI
Intelligence, Cost, and Efficiency
IntelligenceHigher is better · MM Intelligence v2.5#26 of 4660.1 score · 2/3 sources · provisional · missing ARC-AGI-2 · full-core range 40.0–73.4#32 of 4650.5 score · 2/3 sources · provisional · missing ARC-AGI-2 · full-core range 33.6–67.0
CostLower is better · Published-token output estimate#29 of 44$0.194 per LiveBench case#21 of 44$0.095 per LiveBench case
EfficiencyHigher is better · MM Efficiency v1.5#30 of 3847.4 score · 2/3 sources · provisional · missing ARC-AGI-2 · full-core range 37.4–54.0#24 of 3850.1 score · 2/3 sources · provisional · missing ARC-AGI-2 · full-core range 41.7–58.4
Pricing and Limits
Input priceFrom · USD / 1M tokens$2.00Anthropic · Sep 3, 2026$0.75Deepinfra · Sep 22, 2026
Output priceFrom · USD / 1M tokens$10.00Anthropic · Sep 3, 2026$3.50Deepinfra · Sep 22, 2026
Context windowMaximum documented tokens1,000K262K
Model facts checkedAug 28, 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 Sonnet 5Kimi-K2.6
LMArena Document Arenadocument-2026-09-13-d25aabda0010 · arena_rating · leader1,466.14100% of row best · rating · claude-sonnet-5-high; 95% CI [1458.49407458, 1473.77896309]; votes 7411; rank 171,450.7499% of row best · rating · kimi-k2.6; 95% CI [1443.10467262, 1458.37474735]; votes 11291; rank 27
LMArena Text Arenatext-2026-09-13-d25aabda0010 · arena_rating · leader1,442.1599% of row best · rating · claude-sonnet-5-high; 95% CI [1437.57467941, 1446.71829948]; votes 35301; rank 621,454.92100% of row best · rating · kimi-k2.6; 95% CI [1450.40277919, 1459.43693683]; votes 37502; rank 38
LMArena Vision Arenavision-2026-09-13-d25aabda0010 · arena_rating · statistical tie1,277.16100% of row best · rating · claude-sonnet-5-high; 95% CI [1269.57643110, 1284.74576666]; votes 10289; rank 321,280.40100% of row best · rating · kimi-k2.6; 95% CI [1273.38025179, 1287.42397051]; votes 15347; rank 28
LiveBench2026-06-25 · overall · leader80.01100% of row best · percent · claude-sonnet-5-xhigh-effort · 19,428 output tokens / case74.1893% of row best · percent · kimi-k2.6-thinking · 27,001 output tokens / case
ToneBench2026-09-11-10-task-4ef099199c9c · overall_score · unverified86.51100% of row best · points · Claude Sonnet 5 (max effort) · 71,003 output tokens / case82.2495% of row best · points · Kimi K2.6 (thinking) · 18,080 output tokens / case
Overall ResultCounted from the protocol-matched rows above · 1 tie2 benchmark winsOverall lead1 benchmark win

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 Sonnet 5Kimi-K2.6
DeveloperAnthropicMoonshot AI
FamilyClaude 5Kimi K2 6
ModelClaude Sonnet 5Kimi-K2.6
VersionClaude Sonnet 5Kimi-K2.6
Lifecycleactiveactive
Released2026-06-302026-04-20
Knowledge cutoffUnknownUnknown
Input modalitiesText, ImageText, Image
Output modalitiesTextText
Context window1,000K262K
Total parametersUnknown1T
Active parametersUnknown32B
LicenseUnknownother
Open weightsNoYes
API availableYesYes
Self-hostableNoYes
Provider accessAnthropic (Standard), Deepinfra (Standard), Openrouter (Standard)Deepinfra (Standard), Fireworks Ai (Standard), Hugging Face (Standard), Openrouter (Standard), Together Ai (Standard)
Capabilitieschat, generation, reasoning, toolschat, generation, reasoning, tools

Claude Sonnet 5 Capabilities

chatgenerationreasoningtools
Serving providers3
Canonical IDanthropic/claude-sonnet-5

Kimi K2.6 Capabilities

chatgenerationreasoningtools
Serving providers5
Canonical IDmoonshotai/Kimi-K2.6

Primary Evidence

Sources and Freshness

Questions

Claude Sonnet 5 vs Kimi K2.6 FAQs

Is Claude Sonnet 5 or Kimi K2.6 better for coding?+

This comparison does not currently contain a protocol-matched coding benchmark for both Claude Sonnet 5 and Kimi K2.6, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.

Which is cheaper, Claude Sonnet 5 or Kimi K2.6?+

Claude Sonnet 5 is $2.00 and Kimi K2.6 is $0.75 per million tokens, so Kimi K2.6 is cheaper on this metric. Claude Sonnet 5 is $10.00 and Kimi K2.6 is $3.50 per million tokens, so Kimi K2.6 is cheaper on this metric.

Which has a larger context window, Claude Sonnet 5 or Kimi K2.6?+

Claude Sonnet 5 has the larger sourced context window. Claude Sonnet 5 supports 1,000K and Kimi K2.6 supports 262K.

Which performs better in benchmarks, Claude Sonnet 5 or Kimi K2.6?+

Claude Sonnet 5 leads the current overall benchmark count. The result uses 4 protocol-matched benchmarks from 2 publishers; it is not a universal quality score.

Can Claude Sonnet 5 or Kimi K2.6 be self-hosted?+

Kimi K2.6 is the only model in this pair currently marked as self-hostable. Claude Sonnet 5 is not marked open weight; Kimi K2.6 is open weight.

Can Claude Sonnet 5 and Kimi K2.6 understand images?+

Claude Sonnet 5 is documented with image input; Kimi K2.6 is documented with image input. This reflects supported input modalities, not vision quality.

Which can generate longer answers, Claude Sonnet 5 or Kimi K2.6?+

Neither has a larger sourced maximum output. Claude Sonnet 5 is 128K and Kimi K2.6 is —.

Do Claude Sonnet 5 and Kimi K2.6 support reasoning and tool use?+

Claude Sonnet 5: reasoning, tool calling, and image input. Kimi K2.6: reasoning, tool calling, and image input. Feature support does not establish relative quality.

Which is available from more inference providers, Claude Sonnet 5 or Kimi K2.6?+

Claude Sonnet 5 has 3 sourced provider routes; Kimi K2.6 has 5, so Kimi K2.6 has broader tracked availability.

Which offers better value, Claude Sonnet 5 or Kimi K2.6?+

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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