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Model comparison

Gemini 1.5 Pro vs Gemini 1.0 Pro

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 →GoogleGemini 1.0 Pro
Input
$0.50
Output
$1.50
Context
32K tokens (~32,760 input)
Released
2023-12-13
Full model page →
Short answer

Gemini 1.5 Pro scores higher on 3 of the 3 benchmarks both models report; Gemini 1.0 Pro is cheaper on input tokens ($0.5 vs $1.3 per 1M, 2.5×); Gemini 1.5 Pro has the larger context window (2.097152M vs 32K).

Specs and pricing side by side

SpecGemini 1.5 ProGemini 1.0 Pro
MakerGoogleGooglesame
Released2024-02-152023-12-13
Context windowUp to 2,097,152 tokens (2M) at general availability; launched at 1M tokens in Feb 2024, with a 128K standard tier at first32K tokens (~32,760 input)
Max output8,192 tokens8,192 tokenssame
Input price$1.25 / 1M tokens (prompts ≤128K); $2.50 / 1M tokens (prompts >128K)$0.50
Output price$5.00 / 1M tokens (prompts ≤128K); $10.00 / 1M tokens (prompts >128K)$1.50
ParametersNot publicly disclosedUndisclosed
LicenseProprietary (Google). Available only as a hosted API; not redistributable.Proprietary
WeightsAPI onlyAPI onlysame
Modalitiestext, image, audio, video, codeText, Vision (image input, via Gemini 1.0 Pro Vision)
Knowledge cutoffNovember 2023Early 2023 (around April 2023)

Benchmarks both models report

BenchmarkGemini 1.5 ProGemini 1.0 Pro
MMLU85.9%71.8%
MATH82.9%32.6%
HumanEval89%67.7%

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 1.5 Pro if…

  • You care about MMLU, MATH, HumanEval (it scores higher on 3 shared benchmarks).
  • You need the longer context (2.097152M vs 32K).
  • You need text / image / audio / video / code input, which Gemini 1.0 Pro lacks.
  • Your use case is: analyzing very long documents, contracts, or research-paper bundles in one pass.

Pick Gemini 1.0 Pro if…

  • Cost matters: input tokens cost 2.5× less ($0.5 vs $1.3 per 1M).
  • You need Text / Vision (image input, via Gemini 1.0 Pro Vision) input, which Gemini 1.5 Pro lacks.
  • Your use case is: multi-turn text and code chat assistants.

FAQ

Which is better, Gemini 1.5 Pro or Gemini 1.0 Pro?

Gemini 1.5 Pro scores higher on 3 of the 3 benchmarks both models report; Gemini 1.0 Pro is cheaper on input tokens ($0.5 vs $1.3 per 1M, 2.5×); Gemini 1.5 Pro has the larger context window (2.097152M vs 32K). 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 1.0 Pro?

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. Gemini 1.0 Pro: $0.50 input, $1.50 output (list API prices as published by each maker).

What are the context windows of Gemini 1.5 Pro and Gemini 1.0 Pro?

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; Gemini 1.0 Pro offers 32K tokens (~32,760 input) with up to 8,192 tokens output.

Is Gemini 1.5 Pro newer than Gemini 1.0 Pro?

Gemini 1.5 Pro was released 2024-02-15; Gemini 1.0 Pro was released 2023-12-13.

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