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Gemini 1.5 Pro (Sep '24) vs Gemini 3 Deep Think: The Ultimate Performance & Pricing Comparison

Deep dive into reasoning, benchmarks, and latency insights.

The Final Verdict in the Gemini 1.5 Pro (Sep '24) vs Gemini 3 Deep Think 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 1.5 Pro (Sep '24)Gemini 3 Deep Think
6.0
Reasoning
6.0
2.0
Coding
6.0
1.0
Multimodal
5.0
1.0
Long Context
8.0
$0
Blended Price / 1M tokens
$0
P95 Latency
0
Tokens per second
0

Machine-readable comparison data

ModelMetricValueUnitSource / snapshot
Gemini 1.5 Pro (Sep '24)Reasoning6.0benchmark or capability scoreArtificial Analysis · current catalog
Gemini 3 Deep ThinkReasoning6.0benchmark or capability scoreArtificial Analysis · current catalog
Gemini 1.5 Pro (Sep '24)Coding2.0benchmark or capability scoreArtificial Analysis · current catalog
Gemini 3 Deep ThinkCoding6.0benchmark or capability scoreArtificial Analysis · current catalog
Gemini 1.5 Pro (Sep '24)Multimodal1.0benchmark or capability scoreArtificial Analysis · current catalog
Gemini 3 Deep ThinkMultimodal5.0benchmark or capability scoreArtificial Analysis · current catalog
Gemini 1.5 Pro (Sep '24)Long Context1.0benchmark or capability scoreArtificial Analysis · current catalog
Gemini 3 Deep ThinkLong Context8.0benchmark or capability scoreArtificial Analysis · current catalog
Gemini 1.5 Pro (Sep '24)Blended Price / 1M tokens$0USD per 1M tokensArtificial Analysis · current catalog
Gemini 3 Deep ThinkBlended Price / 1M tokens$0USD per 1M tokensArtificial Analysis · current catalog
Gemini 1.5 Pro (Sep '24)P95 LatencymillisecondsArtificial Analysis · current catalog
Gemini 3 Deep ThinkP95 LatencymillisecondsArtificial Analysis · current catalog
Gemini 1.5 Pro (Sep '24)Tokens per second0tokens per secondArtificial Analysis · current catalog
Gemini 3 Deep ThinkTokens per second0tokens 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 1.5 Pro (Sep '24)` vs `Gemini 3 Deep Think`.

IntelligenceCodingMathMultimodalLong Context
Gemini 1.5 Pro (Sep '24)Gemini 3 Deep Think

Benchmark Breakdown

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

Gemini 1.5 Pro (Sep '24)Gemini 3 Deep Think

Speed & Latency

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

Time to First Token · Gemini 1.5 Pro (Sep '24)
0ms
Time to First Token · Gemini 3 Deep Think
0ms
Tokens per Second · Gemini 1.5 Pro (Sep '24)
0
Tokens per Second · Gemini 3 Deep Think
0
Head to the playground to validate these results yourself

The Economics of Gemini 1.5 Pro (Sep '24) vs Gemini 3 Deep Think

Pricing Breakdown

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

Gemini 1.5 Pro (Sep '24)Gemini 3 Deep Think

Real-World Cost Scenario

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

Gemini 1.5 Pro (Sep '24)$0

Gemini 3 Deep Think$0

Review the complete pricing and packaging strategy

Your Questions about the Gemini 1.5 Pro (Sep '24) vs Gemini 3 Deep Think Comparison

Is `Gemini 1.5 Pro (Sep '24)` a direct replacement for `Gemini 3 Deep Think`?

The current Gemini 1.5 Pro (Sep '24) vs Gemini 3 Deep Think 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 1.5 Pro (Sep '24) vs Gemini 3 Deep Think` debate?

The current catalog does not contain comparable coding benchmark values for both models, so this page does not declare a coding winner.

How was this `Gemini 1.5 Pro (Sep '24) vs Gemini 3 Deep Think` comparison conducted?

Our Gemini 1.5 Pro (Sep '24) vs Gemini 3 Deep Think 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.