Gemini 1.5 Pro
The original 2M-context model — still useful for legacy pipelines.
Intelligence index
67/ 100
vs all models41th pctile
Composite of MMLU, GPQA, MATH & HumanEval
Speed
60tok/s
vs all models18th pctile
Median across providers, steady state
Blended price
$2.19/ 1M tokens
vs all models50th pctile
3:1 input:output blend
At a glance
- Context window
- 2M tokens
- Max output
- 8k tokens
- Input price
- $1.25 / 1M tokens
- Output price
- $5.00 / 1M tokens
- Time to first token
- 0.9s
- Input modalities
- text, image, audio, video
- Output modalities
- text
- License
- Proprietary
- Provider
Benchmark scores
Public scores from each provider; bars compare this model against the leader in each benchmark.
MMLU
General knowledge across 57 subjects
85.9
leader: 91.8
MMLU Pro
Harder MMLU successor with more reasoning
69.0
leader: 80.0
GPQA
Graduate-level science Q&A
50.6
leader: 78.0
MATH
Competition mathematics
80.0
leader: 94.8
HumanEval
Python code generation pass@1
84.0
leader: 95.8
Strengths
- 2M context
- Stable API
Weaknesses
- Superseded by 2.5 Pro at the same price
Best for
- Existing 1.5 deployments
- Document QA
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Gemini 2.5 Pro
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Gemini 2.0 Flash
1M-token context for pennies — the best $/token deal on the market.
64 intel220 tok/s$0.18 /1M
OpenAI
GPT-5.5
OpenAI’s 2026 flagship — strongest at reasoning, coding and tool use.
82 intel95 tok/s$7.50 /1M
Gemini 1.5 Pro vs… popular head-to-heads
One-click matchups against the models people compare Gemini 1.5 Pro with most.
Gemini 1.5 Pro — frequently asked questions
Gemini 1.5 Pro is a large language model from Google, released on 14 May 2024. The original 2M-context model — still useful for legacy pipelines.
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