LLM Reference

Kimi K2.5 vs Qwen2.5-72B-Instruct

Kimi K2.5 (2026) and Qwen2.5-72B-Instruct (2024) compare a coding-specialized model against a standalone API model. Kimi K2.5 ships a 256k-token context window, while Qwen2.5-72B-Instruct ships a 128k-token context window. On Google-Proof Q&A, Kimi K2.5 leads by 49.5 pts. On pricing, Qwen2.5-72B-Instruct costs $0.18/1M input tokens versus $0.44/1M 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 Qwen2.5-72B-Instruct is standalone API model. Choose based on workflow fit before reading any benchmark or price row as decisive.

Decision scorecard

Local evidence first
SignalKimi K2.5Qwen2.5-72B-Instruct
Product typeCoding-specialized modelStandalone API model
Best forcustom coding agents, code generation, and tool loopsprovider-routed production
Decision fitCoding, RAG, and AgentsCoding, RAG, and Long context
Context window256k128k
Cheapest output$2/1M tokens$0.54/1M tokens
Provider routes10 tracked7 tracked
Shared benchmarksGoogle-Proof Q&A leader1 shared

Decision tradeoffs

Choose Kimi K2.5 when...
  • Kimi K2.5 holds a shared-benchmark lead on Google-Proof Q&A, ahead by 49.5 points.
  • Kimi K2.5 has the larger context window for long prompts, retrieval packs, or transcript analysis.
  • 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 Qwen2.5-72B-Instruct when...
  • Qwen2.5-72B-Instruct has the lower cheapest tracked output price at $0.54/1M tokens.
  • Local decision data tags Qwen2.5-72B-Instruct for Coding, RAG, and Long context.

Monthly cost at traffic

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

Lower estimate Qwen2.5-72B-Instruct

Kimi K2.5

$852

Cheapest tracked route/tier: OpenRouter

Qwen2.5-72B-Instruct

$279

Cheapest tracked route/tier: Chutes AI

Estimated monthly gap: $573. Batch, cache, alternate speed tiers, and negotiated pricing are excluded from this local estimate.

Switch friction

Kimi K2.5 -> Qwen2.5-72B-Instruct
  • Provider overlap exists on OpenRouter, Fireworks AI, and Novita AI; start route-level A/B tests there.
  • Qwen2.5-72B-Instruct is $1.46/1M tokens lower on cheapest tracked output pricing before cache, batch, or negotiated discounts.
  • Check replacement coverage for Vision, Multimodal, and JSON / Tool use before moving production traffic.
Qwen2.5-72B-Instruct -> Kimi K2.5
  • Provider overlap exists on Fireworks AI, OpenRouter, and Replicate API; start route-level A/B tests there.
  • Kimi K2.5 is $1.46/1M tokens higher on cheapest tracked output pricing, so quality gains need to justify the spend.
  • Kimi K2.5 adds Vision, Multimodal, and JSON / Tool use in local capability data.

Specs

Specification
Released2026-03-152024-06-07
Context window256k128k
Parameters1T (MoE, 384 experts)72.7B
ArchitectureMixture of ExpertsDecoder Only
LicenseProprietaryApache 2.0OSI-approved
OpennessProprietaryOpen source
WeightsNot releasedAvailable
CodeUnknownUnknown
Commercial useCommercial use: conditionalCommercial use: permitted
Knowledge cutoff--

Pricing and availability

Pricing attributeKimi K2.5Qwen2.5-72B-Instruct
Input price$0.44/1M tokens$0.18/1M tokens
Output price$2/1M tokens$0.54/1M tokens
Providers

Capabilities

CapabilityKimi K2.5Qwen2.5-72B-Instruct
VisionYesNo
MultimodalYesNo
ReasoningNoNo
JSON / Tool useYesNo
Structured outputsYesYes
Code executionNoNo
IDE integrationNoNo
Computer useNoNo
Parallel agentsNoNo

Benchmarks

BenchmarkKimi K2.5Qwen2.5-72B-Instruct
Google-Proof Q&A87.938.4

Continue comparing

Last reviewed: 2026-06-30. Data sourced from public model cards and provider documentation.