LLM Reference

Kimi K2.5 vs Kimi K2 Thinking

Kimi K2.5 (2026) and Kimi K2 Thinking (2025) compare a coding-specialized model against a standalone API model. Kimi K2.5 ships a 256k-token context window, while Kimi K2 Thinking ships a 256k-token context window. On pricing, Kimi K2.5 costs $0.44/1M input tokens versus $0.60/1M 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: Kimi K2.5 is coding-specialized model, while Kimi K2 Thinking is standalone API model. Choose based on workflow fit before reading any benchmark or price row as decisive.

Decision scorecard

Local evidence first
SignalKimi K2.5Kimi K2 Thinking
Product typeCoding-specialized modelStandalone API model
Best forcustom coding agents, code generation, and tool loopsreasoning-heavy apps and provider-routed production
Decision fitCoding, RAG, and AgentsRAG, Long context, and Classification
Context window256k256k
Cheapest output$2/1M tokens$2.50/1M tokens
Provider routes10 tracked7 tracked
Shared benchmarks0 shared0 shared

Decision tradeoffs

Choose Kimi K2.5 when...
  • 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.
  • Kimi K2.5 uniquely exposes Vision, Multimodal, and JSON / Tool use in local model data.
  • Local decision data tags Kimi K2.5 for Coding, RAG, and Agents.
Choose Kimi K2 Thinking when...
  • Kimi K2 Thinking uniquely exposes Reasoning in local model data.
  • Local decision data tags Kimi K2 Thinking for RAG, Long context, and Classification.

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

Kimi K2.5

$852

Cheapest tracked route/tier: OpenRouter

Kimi K2 Thinking

$1,105

Cheapest tracked route/tier: Fireworks AI

Estimated monthly gap: $253. Batch, cache, alternate speed tiers, and negotiated pricing are excluded from this local estimate.

Switch friction

Kimi K2.5 -> Kimi K2 Thinking
  • Provider overlap exists on Fireworks AI, NVIDIA NIM, and AWS Bedrock; start route-level A/B tests there.
  • Kimi K2 Thinking is $0.50/1M tokens higher on cheapest tracked output pricing, so quality gains need to justify the spend.
  • Check replacement coverage for Vision, Multimodal, and JSON / Tool use before moving production traffic.
  • Kimi K2 Thinking adds Reasoning in local capability data.
Kimi K2 Thinking -> Kimi K2.5
  • Provider overlap exists on Fireworks AI, OpenRouter, and NVIDIA NIM; start route-level A/B tests there.
  • Kimi K2.5 is $0.50/1M tokens lower on cheapest tracked output pricing before cache, batch, or negotiated discounts.
  • Check replacement coverage for Reasoning before moving production traffic.
  • Kimi K2.5 adds Vision, Multimodal, and JSON / Tool use in local capability data.

Specs

Specification
Released2026-03-152025-01-01
Context window256k256k
Parameters1T (MoE, 384 experts)1T (32B active)
ArchitectureMixture of ExpertsDecoder Only
LicenseProprietaryMITOSI-approved
OpennessProprietaryOpen source
WeightsNot releasedUnknown
CodeUnknownUnknown
Commercial useCommercial use: conditionalCommercial use: permitted
Knowledge cutoff--

Pricing and availability

Pricing attributeKimi K2.5Kimi K2 Thinking
Input price$0.44/1M tokens$0.60/1M tokens
Output price$2/1M tokens$2.50/1M tokens
Providers

Capabilities

CapabilityKimi K2.5Kimi K2 Thinking
VisionYesNo
MultimodalYesNo
ReasoningNoYes
JSON / Tool useYesNo
Structured outputsYesYes
Code executionNoNo
IDE integrationNoNo
Computer useNoNo
Parallel agentsNoNo

Benchmarks

No shared benchmark scores are currently available for this pair.

Continue comparing

Last reviewed: 2026-06-29. Data sourced from public model cards and provider documentation.