LLM Reference

Gemini 3.1 Flash-Lite vs GPT-5.4-Cyber

Gemini 3.1 Flash-Lite (2026) and GPT-5.4-Cyber (2026) are frontier reasoning models from Google DeepMind and OpenAI. Gemini 3.1 Flash-Lite ships a 1.05m-token context window, while GPT-5.4-Cyber ships a not-yet-sourced context window. This comparison covers specs, pricing, API access, capabilities, benchmarks, input and output token costs, and production fit for coding and agent workloads. It focuses on practical selection signals rather than broad model-family marketing.

Gemini 3.1 Flash-Lite is safer overall; choose GPT-5.4-Cyber when reasoning depth matters.

Decision scorecard

Local evidence first
SignalGemini 3.1 Flash-LiteGPT-5.4-Cyber
Best formultimodal apps, tool-calling agents, and long-context analysisreasoning-heavy apps and multimodal apps
Decision fitCoding, RAG, and AgentsVision
Context window1.05m
Cheapest output$1.50/1M tokens-
Provider routes3 tracked0 tracked
Shared benchmarks0 rows0 rows

Decision tradeoffs

Choose Gemini 3.1 Flash-Lite when...
  • Gemini 3.1 Flash-Lite has the larger context window for long prompts, retrieval packs, or transcript analysis.
  • Gemini 3.1 Flash-Lite has broader tracked provider coverage for fallback and procurement flexibility.
  • Gemini 3.1 Flash-Lite uniquely exposes Function calling, Tool use, and Structured outputs in local model data.
  • Local decision data tags Gemini 3.1 Flash-Lite for Coding, RAG, and Agents.
Choose GPT-5.4-Cyber when...
  • GPT-5.4-Cyber uniquely exposes Reasoning in local model data.
  • Local decision data tags GPT-5.4-Cyber for Vision.

Monthly cost at traffic

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

Gemini 3.1 Flash-Lite

$575

Cheapest tracked route/tier: Google AI Studio

GPT-5.4-Cyber

Unavailable

No complete token price in local provider data

Cost delta unavailable until both models have sourced input and output token prices.

Switch friction

Gemini 3.1 Flash-Lite -> GPT-5.4-Cyber
  • No overlapping tracked provider route is sourced for Gemini 3.1 Flash-Lite and GPT-5.4-Cyber; plan for SDK, billing, or endpoint changes.
  • Check replacement coverage for Function calling, Tool use, and Structured outputs before moving production traffic.
  • GPT-5.4-Cyber adds Reasoning in local capability data.
GPT-5.4-Cyber -> Gemini 3.1 Flash-Lite
  • No overlapping tracked provider route is sourced for GPT-5.4-Cyber and Gemini 3.1 Flash-Lite; plan for SDK, billing, or endpoint changes.
  • Check replacement coverage for Reasoning before moving production traffic.
  • Gemini 3.1 Flash-Lite adds Function calling, Tool use, and Structured outputs in local capability data.

Specs

Specification
Released2026-05-072026-04-14
Context window1.05m
Parameters
Architecturedecoder onlydecoder only
LicenseProprietaryProprietary
Knowledge cutoff2025-012025-08

Pricing and availability

Pricing attributeGemini 3.1 Flash-LiteGPT-5.4-Cyber
Input price$0.25/1M tokens-
Output price$1.50/1M tokens-
Providers-

Capabilities

CapabilityGemini 3.1 Flash-LiteGPT-5.4-Cyber
VisionYesYes
MultimodalYesYes
ReasoningNoYes
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 reasoning mode: GPT-5.4-Cyber, function calling: Gemini 3.1 Flash-Lite, tool use: Gemini 3.1 Flash-Lite, structured outputs: Gemini 3.1 Flash-Lite, and code execution: Gemini 3.1 Flash-Lite. Both models share vision and multimodal input, 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.

Pricing coverage is uneven: Gemini 3.1 Flash-Lite has $0.25/1M input tokens and GPT-5.4-Cyber has no token price sourced yet. Provider availability is 3 tracked routes versus 0. Treat unknown pricing as an integration gap, then verify the route you will actually call before estimating production spend.

Choose Gemini 3.1 Flash-Lite when coding workflow support and broader provider choice are central to the workload. Choose GPT-5.4-Cyber when reasoning depth are more important. For production, rerun your own prompts through the exact provider, region, and tool stack you plan to ship. This keeps the decision grounded in measurable tradeoffs instead of brand-level assumptions. It also helps separate model capability from provider packaging, which can change cost and latency.

FAQ

Is Gemini 3.1 Flash-Lite or GPT-5.4-Cyber open source?

Gemini 3.1 Flash-Lite is listed under Proprietary. GPT-5.4-Cyber 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 or GPT-5.4-Cyber?

Both Gemini 3.1 Flash-Lite and GPT-5.4-Cyber expose vision. The better choice depends on benchmark fit, context budget, pricing, and whether your provider route exposes the same capability surface. Use this as a quick comparison signal, then confirm the provider-specific limits before committing to production.

Which is better for multimodal input, Gemini 3.1 Flash-Lite or GPT-5.4-Cyber?

Both Gemini 3.1 Flash-Lite and GPT-5.4-Cyber expose multimodal input. The better choice depends on benchmark fit, context budget, pricing, and whether your provider route exposes the same capability surface. Use this as a quick comparison signal, then confirm the provider-specific limits before committing to production.

Which is better for reasoning mode, Gemini 3.1 Flash-Lite or GPT-5.4-Cyber?

GPT-5.4-Cyber has the clearer documented reasoning mode signal in this comparison. If reasoning mode is mission-critical, validate it against the provider endpoint because model-level support and API-level exposure can differ.

Which is better for function calling, Gemini 3.1 Flash-Lite or GPT-5.4-Cyber?

Gemini 3.1 Flash-Lite has the clearer documented function calling signal in this comparison. If function calling 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 and GPT-5.4-Cyber?

Gemini 3.1 Flash-Lite is available on Google AI Studio, OpenRouter, and Vercel AI Gateway. GPT-5.4-Cyber is available on the tracked providers still being sourced. 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.