LLM Reference

Claude Opus 4.5 vs Kimi K2.5

Claude Opus 4.5 (2025) and Kimi K2.5 (2026) compare a standalone API model against a coding-specialized model. Claude Opus 4.5 ships a 200k-token context window, while Kimi K2.5 ships a 256k-token context window. On MMLU PRO, Claude Opus 4.5 leads by 1.8 pts. On pricing, Kimi K2.5 costs $0.44/1M input tokens versus $5/1M 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 Opus 4.5 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 Opus 4.5Kimi 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 window200k256k
Cheapest output$25/1M tokens$2/1M tokens
Provider routes6 tracked11 tracked
Shared benchmarksMMLU PRO leader3 rows

Decision tradeoffs

Choose Claude Opus 4.5 when...
  • Claude Opus 4.5 leads the largest shared benchmark signal on MMLU PRO by 1.8 points.
  • Claude Opus 4.5 uniquely exposes Vision, Multimodal, and Reasoning in local model data.
  • Local decision data tags Claude Opus 4.5 for Coding, RAG, and Agents.
Choose Kimi K2.5 when...
  • Kimi K2.5 leads the largest shared benchmark signal on Google-Proof Q&A by 0.9 points.
  • Kimi K2.5 has the larger context window for long prompts, retrieval packs, or transcript analysis.
  • 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 procurement 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 Opus 4.5

$10,250

Cheapest tracked route/tier: Microsoft Foundry

Kimi K2.5

$852

Cheapest tracked route/tier: OpenRouter

Estimated monthly gap: $9,398. Batch, cache, alternate speed tiers, and negotiated pricing are excluded from this local estimate.

Switch friction

Claude Opus 4.5 -> Kimi K2.5
  • Provider overlap exists on OpenRouter, AWS Bedrock, and Microsoft Foundry; start route-level A/B tests there.
  • Kimi K2.5 is $23/1M tokens lower on cheapest tracked output pricing before cache, batch, or negotiated discounts.
  • Check replacement coverage for Vision, Multimodal, and Reasoning before moving production traffic.
Kimi K2.5 -> Claude Opus 4.5
  • Provider overlap exists on Microsoft Foundry, AWS Bedrock, and OpenRouter; start route-level A/B tests there.
  • Claude Opus 4.5 is $23/1M tokens higher on cheapest tracked output pricing, so quality gains need to justify the spend.
  • Claude Opus 4.5 adds Vision, Multimodal, and Reasoning in local capability data.

Specs

Specification
Released2025-11-012026-03-15
Context window200k256k
Parameters1T (MoE, 384 experts)
Architecturedecoder onlymixture of experts
LicenseProprietaryMIT
Knowledge cutoff2025-12-

Pricing and availability

Pricing attributeClaude Opus 4.5Kimi K2.5
Input price$5/1M tokens$0.44/1M tokens
Output price$25/1M tokens$2/1M tokens
Providers

Capabilities

CapabilityClaude Opus 4.5Kimi K2.5
VisionYesNo
MultimodalYesNo
ReasoningYesNo
Function callingYesYes
Tool useYesNo
Structured outputsYesYes
Code executionYesNo
IDE integrationNoNo
Computer useNoNo
Parallel agentsNoNo

Benchmarks

BenchmarkClaude Opus 4.5Kimi K2.5
MMLU PRO88.987.1
Google-Proof Q&A87.087.9
BFCL77.547.1

Deep dive

On shared benchmark coverage, MMLU PRO has Claude Opus 4.5 at 88.9 and Kimi K2.5 at 87.1, with Claude Opus 4.5 ahead by 1.8 points; Google-Proof Q&A has Claude Opus 4.5 at 87 and Kimi K2.5 at 87.9, with Kimi K2.5 ahead by 0.9 points; BFCL has Claude Opus 4.5 at 77.5 and Kimi K2.5 at 47.1, with Claude Opus 4.5 ahead by 30.4 points. The largest visible gap is 30.4 points on BFCL, which matters most when that benchmark mirrors your workload. Treat isolated benchmark wins as directional, because provider routing, prompt style, and tool access can move real application results.

The capability footprint differs most on vision: Claude Opus 4.5, multimodal input: Claude Opus 4.5, reasoning mode: Claude Opus 4.5, tool use: Claude Opus 4.5, and code execution: Claude Opus 4.5. Both models share function calling and structured outputs, so the practical split is not just feature count. Use those differences to decide whether the page is about raw model quality, agentic coding support, multimodal ingestion, or predictable structured API behavior.

For cost, Claude Opus 4.5 lists $5/1M input and $25/1M output tokens on the cheapest tracked provider, while Kimi K2.5 lists $0.44/1M input and $2/1M output tokens on the cheapest tracked provider. A 70/30 input-output blend puts Kimi K2.5 lower by about $10.09 per million blended tokens. Availability is 6 providers versus 11, so concentration risk also matters.

Choose Claude Opus 4.5 when coding workflow support are central to the workload. Choose Kimi K2.5 when coding workflow support, larger context windows, and lower input-token cost are more important. For production, rerun your own prompts through the exact provider, region, and tool stack you plan to ship.

FAQ

Which has a larger context window, Claude Opus 4.5 or Kimi K2.5?

Kimi K2.5 supports 256k tokens, while Claude Opus 4.5 supports 200k tokens. That gap matters most for long documents, large codebases, retrieval-heavy agents, and conversations where earlier context must remain visible.

Which is cheaper, Claude Opus 4.5 or Kimi K2.5?

Kimi K2.5 is cheaper on tracked token pricing. Claude Opus 4.5 costs $5/1M input and $25/1M output tokens. Kimi K2.5 costs $0.44/1M input and $2/1M output tokens. Provider discounts or batch pricing can still change the final bill.

Is Claude Opus 4.5 or Kimi K2.5 open source?

Claude Opus 4.5 is listed under Proprietary. Kimi K2.5 is listed under MIT. License labels affect whether you can self-host, redistribute weights, or rely only on hosted APIs, so confirm the upstream license before deployment.

Which is better for vision, Claude Opus 4.5 or Kimi K2.5?

Claude Opus 4.5 has the clearer documented vision signal in this comparison. If vision is mission-critical, validate it against the provider endpoint because model-level support and API-level exposure can differ.

Which is better for multimodal input, Claude Opus 4.5 or Kimi K2.5?

Claude Opus 4.5 has the clearer documented multimodal input signal in this comparison. If multimodal input is mission-critical, validate it against the provider endpoint because model-level support and API-level exposure can differ.

Where can I run Claude Opus 4.5 and Kimi K2.5?

Claude Opus 4.5 is available on Microsoft Foundry, Anthropic, GCP Vertex AI, AWS Bedrock, and OpenRouter. Kimi K2.5 is available on Cloudflare Workers AI, Fireworks AI, OpenRouter, Together AI, and Fireworks AI. Provider coverage can affect latency, region availability, compliance posture, and fallback options.

Continue comparing

Last reviewed: 2026-05-22. Data sourced from public model cards and provider documentation.