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Gemini 3.5 Flash-Lite vs GPT-5 (high): The Ultimate Performance & Pricing Comparison

Deep dive into reasoning, benchmarks, and latency insights.

The Final Verdict in the Gemini 3.5 Flash-Lite vs GPT-5 (high) Showdown

The current catalog does not contain complete performance evidence for both models, so this page does not declare an overall winner. Use the available fields as comparison signals and validate the models on your own workload.

Model Snapshot

Key decision metrics at a glance.

Gemini 3.5 Flash-LiteGPT-5 (high)
6.0
Reasoning
9.0
5.0
Coding
4.0
3.0
Multimodal
3.0
5.0
Long Context
4.0
$0.85
Blended Price / 1M tokens
$3.438
P95 Latency
381.175
Tokens per second

Machine-readable comparison data

ModelMetricValueUnitSource / snapshot
Gemini 3.5 Flash-LiteReasoning6.0benchmark or capability scoreArtificial Analysis · current catalog
GPT-5 (high)Reasoning9.0benchmark or capability scoreArtificial Analysis · current catalog
Gemini 3.5 Flash-LiteCoding5.0benchmark or capability scoreArtificial Analysis · current catalog
GPT-5 (high)Coding4.0benchmark or capability scoreArtificial Analysis · current catalog
Gemini 3.5 Flash-LiteMultimodal3.0benchmark or capability scoreArtificial Analysis · current catalog
GPT-5 (high)Multimodal3.0benchmark or capability scoreArtificial Analysis · current catalog
Gemini 3.5 Flash-LiteLong Context5.0benchmark or capability scoreArtificial Analysis · current catalog
GPT-5 (high)Long Context4.0benchmark or capability scoreArtificial Analysis · current catalog
Gemini 3.5 Flash-LiteBlended Price / 1M tokens$0.85USD per 1M tokensArtificial Analysis · current catalog
GPT-5 (high)Blended Price / 1M tokens$3.438USD per 1M tokensArtificial Analysis · current catalog
Gemini 3.5 Flash-LiteP95 LatencymillisecondsArtificial Analysis · current catalog
GPT-5 (high)P95 LatencymillisecondsArtificial Analysis · current catalog
Gemini 3.5 Flash-LiteTokens per second381.175tokens per secondArtificial Analysis · current catalog
GPT-5 (high)Tokens per secondtokens per secondArtificial Analysis · current catalog

Data provided by Artificial Analysis; live values use the current catalog.

Overall Capabilities

This radar chart visually maps the core capabilities (reasoning, coding, math proxy, multimodal, long context) of `Gemini 3.5 Flash-Lite` vs `GPT-5 (high)`.

IntelligenceCodingMathMultimodalLong Context
Gemini 3.5 Flash-LiteGPT-5 (high)

Benchmark Breakdown

This grouped bar chart provides a side-by-side comparison for each benchmark metric.

Gemini 3.5 Flash-LiteGPT-5 (high)

Speed & Latency

Lower time to first token is better; higher tokens per second is better.

Time to First Token · Gemini 3.5 Flash-Lite
Time to First Token · GPT-5 (high)
Tokens per Second · Gemini 3.5 Flash-Lite
381.175
Tokens per Second · GPT-5 (high)
Head to the playground to validate these results yourself

The Economics of Gemini 3.5 Flash-Lite vs GPT-5 (high)

Pricing Breakdown

Compare input and output pricing in USD per 1M tokens.

Gemini 3.5 Flash-LiteGPT-5 (high)

Real-World Cost Scenario

Per run: 1M input tokens + 250k output tokens

Gemini 3.5 Flash-Lite$0.925

GPT-5 (high)$3.75

Gemini 3.5 Flash-Lite costs $2.825 less per run

Review the complete pricing and packaging strategy

Your Questions about the Gemini 3.5 Flash-Lite vs GPT-5 (high) Comparison

Is `Gemini 3.5 Flash-Lite` a direct replacement for `GPT-5 (high)`?

The current Gemini 3.5 Flash-Lite vs GPT-5 (high) data does not establish a universal replacement. Compare the available metrics, then validate quality, latency, reliability, and cost on your own workload.

For coding, which is better in the `Gemini 3.5 Flash-Lite vs GPT-5 (high)` debate?

The benchmark data in our Gemini 3.5 Flash-Lite vs GPT-5 (high) comparison shows Gemini 3.5 Flash-Lite has a clear advantage, scoring 49.3 on LiveCodeBench versus 37.8.

How was this `Gemini 3.5 Flash-Lite vs GPT-5 (high)` comparison conducted?

Our Gemini 3.5 Flash-Lite vs GPT-5 (high) comparison uses published benchmark, pricing, speed, and latency fields provided by Artificial Analysis. Missing values remain unavailable, and the result should be checked against your workload.