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Gemini 3.1 Pro Preview vs GPT-5 (high): The Ultimate Performance & Pricing Comparison

Deep dive into reasoning, benchmarks, and latency insights.

The Final Verdict in the Gemini 3.1 Pro Preview 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 3.1 Pro PreviewGPT-5 (high)
6.0
Reasoning
9.0
7.0
Coding
4.0
4.0
Multimodal
3.0
6.0
Long Context
4.0
$4.5
Blended Price / 1M tokens
$3.438
P95 Latency
129.625
Tokens per second

Machine-readable comparison data

ModelMetricValueUnitSource / snapshot
Gemini 3.1 Pro PreviewReasoning6.0benchmark or capability scoreArtificial Analysis · current catalog
GPT-5 (high)Reasoning9.0benchmark or capability scoreArtificial Analysis · current catalog
Gemini 3.1 Pro PreviewCoding7.0benchmark or capability scoreArtificial Analysis · current catalog
GPT-5 (high)Coding4.0benchmark or capability scoreArtificial Analysis · current catalog
Gemini 3.1 Pro PreviewMultimodal4.0benchmark or capability scoreArtificial Analysis · current catalog
GPT-5 (high)Multimodal3.0benchmark or capability scoreArtificial Analysis · current catalog
Gemini 3.1 Pro PreviewLong Context6.0benchmark or capability scoreArtificial Analysis · current catalog
GPT-5 (high)Long Context4.0benchmark or capability scoreArtificial Analysis · current catalog
Gemini 3.1 Pro PreviewBlended Price / 1M tokens$4.5USD per 1M tokensArtificial Analysis · current catalog
GPT-5 (high)Blended Price / 1M tokens$3.438USD per 1M tokensArtificial Analysis · current catalog
Gemini 3.1 Pro PreviewP95 LatencymillisecondsArtificial Analysis · current catalog
GPT-5 (high)P95 LatencymillisecondsArtificial Analysis · current catalog
Gemini 3.1 Pro PreviewTokens per second129.625tokens 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 3.1 Pro Preview` vs `GPT-5 (high)`.

IntelligenceCodingMathMultimodalLong Context
Gemini 3.1 Pro PreviewGPT-5 (high)

Benchmark Breakdown

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

Gemini 3.1 Pro PreviewGPT-5 (high)

Speed & Latency

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

Time to First Token · Gemini 3.1 Pro Preview
Time to First Token · GPT-5 (high)
Tokens per Second · Gemini 3.1 Pro Preview
129.625
Tokens per Second · GPT-5 (high)
Head to the playground to validate these results yourself

The Economics of Gemini 3.1 Pro Preview vs GPT-5 (high)

Pricing Breakdown

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

Gemini 3.1 Pro PreviewGPT-5 (high)

Real-World Cost Scenario

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

Gemini 3.1 Pro Preview$5

GPT-5 (high)$3.75

GPT-5 (high) costs $1.25 less per run

Review the complete pricing and packaging strategy

Your Questions about the Gemini 3.1 Pro Preview vs GPT-5 (high) Comparison

Is `Gemini 3.1 Pro Preview` a direct replacement for `GPT-5 (high)`?

The current Gemini 3.1 Pro Preview 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 3.1 Pro Preview vs GPT-5 (high)` debate?

The benchmark data in our Gemini 3.1 Pro Preview vs GPT-5 (high) comparison shows Gemini 3.1 Pro Preview has a clear advantage, scoring 68.8 on LiveCodeBench versus 37.8.

How was this `Gemini 3.1 Pro Preview vs GPT-5 (high)` comparison conducted?

Our Gemini 3.1 Pro Preview 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.