LLM Reference

Claude Opus 4.7 vs Kimi K2 Thinking

Claude Opus 4.7 (2026) and Kimi K2 Thinking (2025) are frontier-tier reasoning models from Anthropic and Moonshot AI. Claude Opus 4.7 ships a 1m-token context window, while Kimi K2 Thinking ships a 256k-token context window. On pricing, Kimi K2 Thinking costs $0.60/1M input tokens versus $5/1M for the alternative. This comparison covers specs, pricing, API access, capabilities, benchmarks, input and output token costs, and production fit for coding and agent workloads.

Kimi K2 Thinking is ~733% cheaper at $0.60/1M; pay for Claude Opus 4.7 only for coding workflow support.

Decision scorecard

Local evidence first
SignalClaude Opus 4.7Kimi K2 Thinking
Best forreasoning-heavy apps, multimodal apps, and tool-calling agentsreasoning-heavy apps and provider-routed production
Decision fitCoding, RAG, and AgentsRAG, Long context, and Classification
Context window1m256k
Cheapest output$25/1M tokens$2.50/1M tokens
Provider routes7 tracked7 tracked
Shared benchmarks0 rows0 rows

Decision tradeoffs

Choose Claude Opus 4.7 when...
  • Claude Opus 4.7 has the larger context window for long prompts, retrieval packs, or transcript analysis.
  • Claude Opus 4.7 uniquely exposes Vision, Multimodal, and Function calling in local model data.
  • Local decision data tags Claude Opus 4.7 for Coding, RAG, and Agents.
Choose Kimi K2 Thinking when...
  • Kimi K2 Thinking has the lower cheapest tracked output price at $2.50/1M tokens.
  • 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 Thinking

Claude Opus 4.7

$10,250

Cheapest tracked route/tier: Anthropic

Kimi K2 Thinking

$1,105

Cheapest tracked route/tier: Fireworks AI

Estimated monthly gap: $9,145. Batch, cache, alternate speed tiers, and negotiated pricing are excluded from this local estimate.

Switch friction

Claude Opus 4.7 -> Kimi K2 Thinking
  • Provider overlap exists on GCP Vertex AI, AWS Bedrock, and OpenRouter; start route-level A/B tests there.
  • Kimi K2 Thinking is $22.50/1M tokens lower on cheapest tracked output pricing before cache, batch, or negotiated discounts.
  • Check replacement coverage for Vision, Multimodal, and Function calling before moving production traffic.
Kimi K2 Thinking -> Claude Opus 4.7
  • Provider overlap exists on AWS Bedrock, GCP Vertex AI, and OpenRouter; start route-level A/B tests there.
  • Claude Opus 4.7 is $22.50/1M tokens higher on cheapest tracked output pricing, so quality gains need to justify the spend.
  • Claude Opus 4.7 adds Vision, Multimodal, and Function calling in local capability data.

Specs

Specification
Released2026-04-162025-01-01
Context window1m256k
Parameters1T (32B active)
Architecturedecoder onlydecoder only
LicenseProprietaryMIT
Knowledge cutoff2026-01-

Pricing and availability

Pricing attributeClaude Opus 4.7Kimi K2 Thinking
Input price$5/1M tokens$0.60/1M tokens
Output price$25/1M tokens$2.50/1M tokens
Providers

Capabilities

CapabilityClaude Opus 4.7Kimi K2 Thinking
VisionYesNo
MultimodalYesNo
ReasoningYesYes
Function callingYesNo
Tool useYesNo
Structured outputsYesYes
Code executionYesNo
IDE integrationNoNo
Computer useNoNo
Parallel agentsNoNo

Benchmarks

No shared benchmark rows are currently sourced for this pair.

Deep dive

The capability footprint differs most on vision: Claude Opus 4.7, multimodal input: Claude Opus 4.7, function calling: Claude Opus 4.7, tool use: Claude Opus 4.7, and code execution: Claude Opus 4.7. Both models share reasoning mode 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 4.7 lists $5/1M input and $25/1M output tokens on the cheapest tracked provider, while Kimi K2 Thinking lists $0.60/1M input and $2.50/1M output tokens on the cheapest tracked provider. A 70/30 input-output blend puts Kimi K2 Thinking lower by about $9.83 per million blended tokens. Availability is 7 providers versus 7, so concentration risk also matters.

Choose Claude Opus 4.7 when coding workflow support and larger context windows are central to the workload. Choose Kimi K2 Thinking when provider fit 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 4.7 or Kimi K2 Thinking?

Claude Opus 4.7 supports 1m tokens, while Kimi K2 Thinking supports 256k 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 4.7 or Kimi K2 Thinking?

Kimi K2 Thinking is cheaper on tracked token pricing. Claude Opus 4.7 costs $5/1M input and $25/1M output tokens. Kimi K2 Thinking costs $0.60/1M input and $2.50/1M output tokens. Provider discounts or batch pricing can still change the final bill.

Is Claude Opus 4.7 or Kimi K2 Thinking open source?

Claude Opus 4.7 is listed under Proprietary. Kimi K2 Thinking 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 4.7 or Kimi K2 Thinking?

Claude Opus 4.7 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 4.7 or Kimi K2 Thinking?

Claude Opus 4.7 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 4.7 and Kimi K2 Thinking?

Claude Opus 4.7 is available on Anthropic, AWS Bedrock, GCP Vertex AI, Microsoft Foundry, and OpenRouter. Kimi K2 Thinking is available on Fireworks AI, GCP Vertex AI, NVIDIA NIM, AWS Bedrock, and OpenRouter. Provider coverage can affect latency, region availability, compliance posture, and fallback options.

Continue comparing

Last reviewed: 2026-06-01. Data sourced from public model cards and provider documentation.