LLM Reference

Gemini 2.5 Pro Preview 06-05 vs Kimi K2 Thinking Turbo

Gemini 2.5 Pro Preview 06-05 (2025) and Kimi K2 Thinking Turbo (2025) are general-purpose language models from Google DeepMind and Moonshot AI. Gemini 2.5 Pro Preview 06-05 ships a 1m-token context window, while Kimi K2 Thinking Turbo ships a 262k-token context window. On pricing, Kimi K2 Thinking Turbo costs $1.15/1M input tokens versus $1.25/1M 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 Turbo is safer overall; choose Gemini 2.5 Pro Preview 06-05 when coding workflow support matters.

Decision scorecard

Local evidence first
SignalGemini 2.5 Pro Preview 06-05Kimi K2 Thinking Turbo
Best formultimodal apps and long-context analysisgeneral production evaluation
Decision fitCoding, RAG, and AgentsLong context
Context window1m262k
Cheapest output$10/1M tokens$8/1M tokens
Provider routes1 tracked1 tracked
Shared benchmarks0 rows0 rows

Decision tradeoffs

Choose Gemini 2.5 Pro Preview 06-05 when...
  • Gemini 2.5 Pro Preview 06-05 has the larger context window for long prompts, retrieval packs, or transcript analysis.
  • Gemini 2.5 Pro Preview 06-05 uniquely exposes Vision, Multimodal, and Structured outputs in local model data.
  • Local decision data tags Gemini 2.5 Pro Preview 06-05 for Coding, RAG, and Agents.
Choose Kimi K2 Thinking Turbo when...
  • Kimi K2 Thinking Turbo has the lower cheapest tracked output price at $8/1M tokens.
  • Local decision data tags Kimi K2 Thinking Turbo for Long context.

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 Turbo

Gemini 2.5 Pro Preview 06-05

$3,500

Cheapest tracked route/tier: OpenRouter

Kimi K2 Thinking Turbo

$2,920

Cheapest tracked route/tier: Vercel AI Gateway

Estimated monthly gap: $580. Batch, cache, alternate speed tiers, and negotiated pricing are excluded from this local estimate.

Switch friction

Gemini 2.5 Pro Preview 06-05 -> Kimi K2 Thinking Turbo
  • No overlapping tracked provider route is sourced for Gemini 2.5 Pro Preview 06-05 and Kimi K2 Thinking Turbo; plan for SDK, billing, or endpoint changes.
  • Kimi K2 Thinking Turbo is $2/1M tokens lower on cheapest tracked output pricing before cache, batch, or negotiated discounts.
  • Check replacement coverage for Vision, Multimodal, and Structured outputs before moving production traffic.
Kimi K2 Thinking Turbo -> Gemini 2.5 Pro Preview 06-05
  • No overlapping tracked provider route is sourced for Kimi K2 Thinking Turbo and Gemini 2.5 Pro Preview 06-05; plan for SDK, billing, or endpoint changes.
  • Gemini 2.5 Pro Preview 06-05 is $2/1M tokens higher on cheapest tracked output pricing, so quality gains need to justify the spend.
  • Gemini 2.5 Pro Preview 06-05 adds Vision, Multimodal, and Structured outputs in local capability data.

Specs

Specification
Released2025-03-252025-11-06
Context window1m262k
Parameters1T (32B active)
Architecturedecoder only-
LicenseProprietaryMIT(OSI)
OpennessProprietaryOpen source
Commercial useCommercial use with conditionsCommercial use allowed
Knowledge cutoff--

Pricing and availability

Pricing attributeGemini 2.5 Pro Preview 06-05Kimi K2 Thinking Turbo
Input price$1.25/1M tokens$1.15/1M tokens
Output price$10/1M tokens$8/1M tokens
Providers

Capabilities

CapabilityGemini 2.5 Pro Preview 06-05Kimi K2 Thinking Turbo
VisionYesNo
MultimodalYesNo
ReasoningNoNo
Function callingNoNo
Tool useNoNo
Structured outputsYesNo
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: Gemini 2.5 Pro Preview 06-05, multimodal input: Gemini 2.5 Pro Preview 06-05, structured outputs: Gemini 2.5 Pro Preview 06-05, and code execution: Gemini 2.5 Pro Preview 06-05. Both models share the core language-model surface, 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, Gemini 2.5 Pro Preview 06-05 lists $1.25/1M input and $10/1M output tokens on the cheapest tracked provider, while Kimi K2 Thinking Turbo lists $1.15/1M input and $8/1M output tokens on the cheapest tracked provider. A 70/30 input-output blend puts Kimi K2 Thinking Turbo lower by about $0.67 per million blended tokens. Availability is 1 providers versus 1, so concentration risk also matters.

Choose Gemini 2.5 Pro Preview 06-05 when coding workflow support and larger context windows are central to the workload. Choose Kimi K2 Thinking Turbo 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, Gemini 2.5 Pro Preview 06-05 or Kimi K2 Thinking Turbo?

Gemini 2.5 Pro Preview 06-05 supports 1m tokens, while Kimi K2 Thinking Turbo supports 262k tokens. That gap matters most for long documents, large codebases, retrieval-heavy agents, and conversations where earlier context must remain visible.

Which is cheaper, Gemini 2.5 Pro Preview 06-05 or Kimi K2 Thinking Turbo?

Kimi K2 Thinking Turbo is cheaper on tracked token pricing. Gemini 2.5 Pro Preview 06-05 costs $1.25/1M input and $10/1M output tokens. Kimi K2 Thinking Turbo costs $1.15/1M input and $8/1M output tokens. Provider discounts or batch pricing can still change the final bill.

Is Gemini 2.5 Pro Preview 06-05 or Kimi K2 Thinking Turbo open source?

Gemini 2.5 Pro Preview 06-05 is listed under Proprietary. Kimi K2 Thinking Turbo 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, Gemini 2.5 Pro Preview 06-05 or Kimi K2 Thinking Turbo?

Gemini 2.5 Pro Preview 06-05 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, Gemini 2.5 Pro Preview 06-05 or Kimi K2 Thinking Turbo?

Gemini 2.5 Pro Preview 06-05 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 Gemini 2.5 Pro Preview 06-05 and Kimi K2 Thinking Turbo?

Gemini 2.5 Pro Preview 06-05 is available on OpenRouter. Kimi K2 Thinking Turbo is available on Vercel AI Gateway. Provider coverage can affect latency, region availability, compliance posture, and fallback options.

Continue comparing

Last reviewed: 2026-06-04. Data sourced from public model cards and provider documentation.