LLM Reference

Claude Sonnet 4.6 vs Kimi K2.5

Claude Sonnet 4.6 (2026) and Kimi K2.5 (2026) compare a standalone API model against a coding-specialized model. Claude Sonnet 4.6 ships a 1m-token context window, while Kimi K2.5 ships a 256k-token context window. On MMLU PRO, Claude Sonnet 4.6 leads by 0.2 pts. On pricing, Kimi K2.5 costs $0.44/1M input tokens versus $3/1M for the alternative. This page treats the result as workflow and deployment fit, not a universal model winner.

Treat this as a product-type comparison: Claude Sonnet 4.6 is standalone API model, while Kimi K2.5 is coding-specialized model. Choose based on workflow fit before reading any benchmark or price row as decisive.

Decision scorecard

Local evidence first
SignalClaude Sonnet 4.6Kimi K2.5
Product typeStandalone API modelCoding-specialized model
Best forreasoning-heavy apps, multimodal apps, and tool-calling agentscustom coding agents, code generation, and tool loops
Decision fitCoding, RAG, and AgentsCoding, RAG, and Agents
Context window1m256k
Cheapest output$15/1M tokens$2/1M tokens
Provider routes6 tracked10 tracked
Shared benchmarksMMLU PRO leader13 shared

Decision tradeoffs

Choose Claude Sonnet 4.6 when...
  • Claude Sonnet 4.6 holds a shared-benchmark lead on MMLU PRO, ahead by 0.2 points.
  • Claude Sonnet 4.6 has the larger context window for long prompts, retrieval packs, or transcript analysis.
  • Claude Sonnet 4.6 uniquely exposes Reasoning, Code execution, and Computer use in local model data.
  • Local decision data tags Claude Sonnet 4.6 for Coding, RAG, and Agents.
Choose Kimi K2.5 when...
  • Kimi K2.5 holds a shared-benchmark lead on AIME 2025, ahead by 2.1 points.
  • Kimi K2.5 has the lower cheapest tracked output price at $2/1M tokens.
  • Kimi K2.5 has broader tracked provider coverage for fallback and route flexibility.
  • Local decision data tags Kimi K2.5 for Coding, RAG, and Agents.

Monthly cost at traffic

Estimate token spend from the cheapest tracked input and output route or tier on this page.

Lower estimate Kimi K2.5

Claude Sonnet 4.6

$6,150

Cheapest tracked route/tier: OpenRouter

Kimi K2.5

$852

Cheapest tracked route/tier: OpenRouter

Estimated monthly gap: $5,298. Batch, cache, alternate speed tiers, and negotiated pricing are excluded from this local estimate.

Switch friction

Claude Sonnet 4.6 -> Kimi K2.5
  • Provider overlap exists on OpenRouter, AWS Bedrock, and Microsoft Foundry; start route-level A/B tests there.
  • Kimi K2.5 is $13/1M tokens lower on cheapest tracked output pricing before cache, batch, or negotiated discounts.
  • Check replacement coverage for Reasoning, Code execution, and Computer use before moving production traffic.
Kimi K2.5 -> Claude Sonnet 4.6
  • Provider overlap exists on OpenRouter, AWS Bedrock, and Microsoft Foundry; start route-level A/B tests there.
  • Claude Sonnet 4.6 is $13/1M tokens higher on cheapest tracked output pricing, so quality gains need to justify the spend.
  • Claude Sonnet 4.6 adds Reasoning, Code execution, and Computer use in local capability data.

Specs

Specification
Released2026-02-172026-03-15
Context window1m256k
Parameters1T (MoE, 384 experts)
ArchitectureDecoder OnlyMixture of Experts
LicenseProprietaryProprietary
OpennessProprietaryProprietary
WeightsNot releasedNot released
CodeUnknownUnknown
Commercial useCommercial use: conditionalCommercial use: conditional
Knowledge cutoff2025-08-

Pricing and availability

Pricing attributeClaude Sonnet 4.6Kimi K2.5
Input price$3/1M tokens$0.44/1M tokens
Output price$15/1M tokens$2/1M tokens
Providers

Capabilities

CapabilityClaude Sonnet 4.6Kimi K2.5
VisionYesYes
MultimodalYesYes
ReasoningYesNo
JSON / Tool useYesYes
Structured outputsYesYes
Code executionYesNo
IDE integrationNoNo
Computer useYesNo
Parallel agentsYesNo

Benchmarks

BenchmarkClaude Sonnet 4.6Kimi K2.5
MMLU PRO87.387.1
SWE-bench Verified79.676.8
Google-Proof Q&A89.987.9
AIME 202594.096.1
LiveCodeBench80.085.0
Humanity's Last Exam33.250.2
MCP-Atlas61.329.5
CursorBench49.031.9
τ-bench87.574.2
Terminal-Bench 2.059.150.8
MultiChallenge57.161.4
MMMU Pro75.678.5
SWE-rebench60.758.5

Continue comparing

Last reviewed: 2026-07-26. Data sourced from public model cards and provider documentation.