LLM Reference

Gemini 3.1 Flash Lite Preview vs Kimi K2 Thinking Turbo

Gemini 3.1 Flash Lite Preview (2026) and Kimi K2 Thinking Turbo (2025) are general-purpose language models from Google DeepMind and Moonshot AI. Gemini 3.1 Flash Lite Preview ships a 1m-token context window, while Kimi K2 Thinking Turbo ships a 262k-token context window. On pricing, Gemini 3.1 Flash Lite Preview costs $0.25/1M input tokens versus $1.15/1M for the alternative. This comparison covers specs, pricing, capabilities, benchmarks, provider availability, and production fit.

Gemini 3.1 Flash Lite Preview is ~360% cheaper at $0.25/1M; pay for Kimi K2 Thinking Turbo only for provider fit.

Decision scorecard

Local evidence first
SignalGemini 3.1 Flash Lite PreviewKimi K2 Thinking Turbo
Best formultimodal apps, tool-calling agents, and long-context analysisgeneral production evaluation
Decision fitCoding, RAG, and AgentsLong context
Context window1m262k
Cheapest output$1.50/1M tokens$8/1M tokens
Provider routes4 tracked1 tracked
Shared benchmarks0 rows0 rows

Decision tradeoffs

Choose Gemini 3.1 Flash Lite Preview when...
  • Gemini 3.1 Flash Lite Preview has the larger context window for long prompts, retrieval packs, or transcript analysis.
  • Gemini 3.1 Flash Lite Preview has the lower cheapest tracked output price at $1.50/1M tokens.
  • Gemini 3.1 Flash Lite Preview has broader tracked provider coverage for fallback and procurement flexibility.
  • Gemini 3.1 Flash Lite Preview uniquely exposes Vision, Multimodal, and Function calling in local model data.
  • Local decision data tags Gemini 3.1 Flash Lite Preview for Coding, RAG, and Agents.
Choose Kimi K2 Thinking Turbo when...
  • 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 Gemini 3.1 Flash Lite Preview

Gemini 3.1 Flash Lite Preview

$575

Cheapest tracked route/tier: Google AI Studio

Kimi K2 Thinking Turbo

$2,920

Cheapest tracked route/tier: Vercel AI Gateway

Estimated monthly gap: $2,345. Batch, cache, alternate speed tiers, and negotiated pricing are excluded from this local estimate.

Switch friction

Gemini 3.1 Flash Lite Preview -> Kimi K2 Thinking Turbo
  • Provider overlap exists on Vercel AI Gateway; start route-level A/B tests there.
  • Kimi K2 Thinking Turbo is $6.50/1M tokens higher on cheapest tracked output pricing, so quality gains need to justify the spend.
  • Check replacement coverage for Vision, Multimodal, and Function calling before moving production traffic.
Kimi K2 Thinking Turbo -> Gemini 3.1 Flash Lite Preview
  • Provider overlap exists on Vercel AI Gateway; start route-level A/B tests there.
  • Gemini 3.1 Flash Lite Preview is $6.50/1M tokens lower on cheapest tracked output pricing before cache, batch, or negotiated discounts.
  • Gemini 3.1 Flash Lite Preview adds Vision, Multimodal, and Function calling in local capability data.

Specs

Specification
Released2026-03-032025-11-06
Context window1m262k
Parameters1T (32B active)
Architecturedecoder only-
LicenseProprietaryProprietary
Knowledge cutoff2025-01-

Pricing and availability

Pricing attributeGemini 3.1 Flash Lite PreviewKimi K2 Thinking Turbo
Input price$0.25/1M tokens$1.15/1M tokens
Output price$1.50/1M tokens$8/1M tokens
Providers

Capabilities

CapabilityGemini 3.1 Flash Lite PreviewKimi K2 Thinking Turbo
VisionYesNo
MultimodalYesNo
ReasoningNoNo
Function callingYesNo
Tool useYesNo
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 3.1 Flash Lite Preview, multimodal input: Gemini 3.1 Flash Lite Preview, function calling: Gemini 3.1 Flash Lite Preview, tool use: Gemini 3.1 Flash Lite Preview, structured outputs: Gemini 3.1 Flash Lite Preview, and code execution: Gemini 3.1 Flash Lite Preview. 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 3.1 Flash Lite Preview lists $0.25/1M input and $1.50/1M 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 Gemini 3.1 Flash Lite Preview lower by about $2.58 per million blended tokens. Availability is 4 providers versus 1, so concentration risk also matters.

Choose Gemini 3.1 Flash Lite Preview when coding workflow support, larger context windows, and lower input-token cost are central to the workload. Choose Kimi K2 Thinking Turbo when provider fit 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 3.1 Flash Lite Preview or Kimi K2 Thinking Turbo?

Gemini 3.1 Flash Lite Preview 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 3.1 Flash Lite Preview or Kimi K2 Thinking Turbo?

Gemini 3.1 Flash Lite Preview is cheaper on tracked token pricing. Gemini 3.1 Flash Lite Preview costs $0.25/1M input and $1.50/1M 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 3.1 Flash Lite Preview or Kimi K2 Thinking Turbo open source?

Gemini 3.1 Flash Lite Preview is listed under Proprietary. Kimi K2 Thinking Turbo is listed under Proprietary. 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 3.1 Flash Lite Preview or Kimi K2 Thinking Turbo?

Gemini 3.1 Flash Lite Preview 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 3.1 Flash Lite Preview or Kimi K2 Thinking Turbo?

Gemini 3.1 Flash Lite Preview 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 3.1 Flash Lite Preview and Kimi K2 Thinking Turbo?

Gemini 3.1 Flash Lite Preview is available on Google AI Studio, GCP Vertex AI, OpenRouter, and Vercel AI Gateway. 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: 2026-05-31. Data sourced from public model cards and provider documentation.