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Model comparison

Gemini 2.0 Pro vs Gemini 1.5 Pro

GoogleGemini 2.0 Pro
Input
$0.00 (free during experimental preview)
Output
$0.00 (free during experimental preview)
Context
2M
Released
2025-02-05
Full model page →GoogleGemini 1.5 Pro
Input
$1.25 / 1M tokens (prompts ≤128K); $2.50 / 1M tokens (prompts >128K)
Output
$5.00 / 1M tokens (prompts ≤128K); $10.00 / 1M tokens (prompts >128K)
Context
Up to 2,097,152 tokens (2M) at general availability; launched at 1M tokens in Feb 2024, with a 128K standard tier at first
Released
2024-02-15
Full model page →
Short answer

Gemini 2.0 Pro scores higher on 2 of the 2 benchmarks both models report; Gemini 2.0 Pro is cheaper on input tokens ($0 vs $1.3 per 1M, ); Gemini 1.5 Pro has the larger context window (2.097152M vs 2M).

Specs and pricing side by side

SpecGemini 2.0 ProGemini 1.5 Pro
MakerGoogleGooglesame
Released2025-02-052024-02-15
Context window2MUp to 2,097,152 tokens (2M) at general availability; launched at 1M tokens in Feb 2024, with a 128K standard tier at first
Max output8,192 tokens8,192 tokenssame
Input price$0.00 (free during experimental preview)$1.25 / 1M tokens (prompts ≤128K); $2.50 / 1M tokens (prompts >128K)
Output price$0.00 (free during experimental preview)$5.00 / 1M tokens (prompts ≤128K); $10.00 / 1M tokens (prompts >128K)
ParametersNot disclosedNot publicly disclosed
LicenseProprietaryProprietary (Google). Available only as a hosted API; not redistributable.
WeightsAPI onlyAPI onlysame
ModalitiesText, Visiontext, image, audio, video, code
Knowledge cutoffAugust 2024November 2023

Benchmarks both models report

BenchmarkGemini 2.0 ProGemini 1.5 Pro
MMLU-Pro79.1%76.1%
GPQA Diamond64.7%53.5%

Scores are as published by each maker or its cited source; harness, reasoning effort and date can differ between rows, so treat small gaps as ties. Sources are listed on each model page.

Which one should you pick?

Pick Gemini 2.0 Pro if…

  • You care about MMLU-Pro, GPQA Diamond (it scores higher on 2 shared benchmarks).
  • Cost matters: input tokens cost less ($0 vs $1.3 per 1M).
  • You need Text / Vision input, which Gemini 1.5 Pro lacks.
  • Your use case is: coding assistance and complex multi-step prompts (its primary positioning).

Pick Gemini 1.5 Pro if…

  • You need the longer context (2.097152M vs 2M).
  • You need text / image / audio / video / code input, which Gemini 2.0 Pro lacks.
  • Your use case is: analyzing very long documents, contracts, or research-paper bundles in one pass.

FAQ

Which is better, Gemini 2.0 Pro or Gemini 1.5 Pro?

Gemini 2.0 Pro scores higher on 2 of the 2 benchmarks both models report; Gemini 2.0 Pro is cheaper on input tokens ($0 vs $1.3 per 1M, ); Gemini 1.5 Pro has the larger context window (2.097152M vs 2M). The better pick depends on whether you value benchmark scores, price per token, context length or openness for your workload.

How much cheaper is Gemini 2.0 Pro?

Gemini 2.0 Pro: $0.00 (free during experimental preview) input, $0.00 (free during experimental preview) output. Gemini 1.5 Pro: $1.25 / 1M tokens (prompts ≤128K); $2.50 / 1M tokens (prompts >128K) input, $5.00 / 1M tokens (prompts ≤128K); $10.00 / 1M tokens (prompts >128K) output (list API prices as published by each maker).

What are the context windows of Gemini 2.0 Pro and Gemini 1.5 Pro?

Gemini 2.0 Pro offers 2M with up to 8,192 tokens output; Gemini 1.5 Pro offers Up to 2,097,152 tokens (2M) at general availability; launched at 1M tokens in Feb 2024, with a 128K standard tier at first with up to 8,192 tokens output.

Is Gemini 2.0 Pro newer than Gemini 1.5 Pro?

Gemini 2.0 Pro was released 2025-02-05; Gemini 1.5 Pro was released 2024-02-15.

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