Head-to-head · frontier vs frontier

Gemini 2.5 Pro Turbo vs o3 Turbo: which model should you choose?

We compared Gemini 2.5 Pro Turbo and o3 Turbo on price, context window and 12 benchmarks. Gemini 2.5 Pro Turbo has the stronger average benchmark score; Gemini 2.5 Pro Turbo is cheaper on a blended 3:1 basis.

Google DeepMind

Gemini 2.5 Pro Turbo

Gemini 2.5 Pro Turbo is a frontier model from Google DeepMind. It offers a 1,000,000-token context window, costs $16.32 per million input tokens and $72.61 per million output tokens, and averages 83.9 across the index's benchmark suite.

Input
$16.32 / 1M
Output
$72.61 / 1M
Context
1,000,000
Avg score
83.9
Open weights
No
Full Gemini 2.5 Pro Turbo page
OpenAI

o3 Turbo

o3 Turbo is a frontier model from OpenAI. It offers a 200,000-token context window, costs $16.63 per million input tokens and $83.71 per million output tokens, and averages 83.4 across the index's benchmark suite.

Input
$16.63 / 1M
Output
$83.71 / 1M
Context
200,000
Avg score
83.4
Open weights
No
Full o3 Turbo page

Specification comparison

SpecGemini 2.5 Pro Turboo3 TurboEdge
Input price / 1M$16.32$16.63A
Output price / 1M$72.61$83.71A
Context window1,000,000200,000A
Max output128,0004,096A
Average score83.983.4A
Arena Elo1464.01456.2A
Open weightsNoNoTie

Benchmark comparison

Gemini 2.5 Pro Turbo wins 8, o3 Turbo wins 3, and 1 benchmarks are tied. The table shows the modelled score for each model and the gap.

BenchmarkGemini 2.5 Pro Turboo3 TurboGapWinner
MMLU-Pro82.982.70.2Gemini 2.5 Pro Turbo
GPQA Diamond81.777.74.0Gemini 2.5 Pro Turbo
SWE-bench Verified71.470.70.7Gemini 2.5 Pro Turbo
HumanEval88.187.40.7Gemini 2.5 Pro Turbo
MATH-50090.690.60.0Tie
AIME 202583.783.00.7Gemini 2.5 Pro Turbo
LiveCodeBench78.680.72.1o3 Turbo
IFEval90.789.11.6Gemini 2.5 Pro Turbo
TruthfulQA85.983.62.3Gemini 2.5 Pro Turbo
HellaSwag91.291.80.6o3 Turbo
MMMU78.479.71.3o3 Turbo
Arena Elo1464.01456.27.8Gemini 2.5 Pro Turbo

Price analysis

On a blended 3:1 input-to-output basis, Gemini 2.5 Pro Turbo costs about $30.39 per million tokens and o3 Turbo costs about $33.40. Gemini 2.5 Pro Turbo is roughly 9% cheaper than o3 Turbo. At high volume, that gap compounds quickly, so price should carry real weight unless the quality difference is decisive.

Gemini 2.5 Pro Turbo has the larger context window at 1,000,000 tokens, compared with 200,000 for o3 Turbo. That matters for long documents, large codebases and multi-step agent traces.

Verdict

Across 12 shared benchmarks, Gemini 2.5 Pro Turbo wins 8, o3 Turbo wins 3, and 1 are tied. On the index average, Gemini 2.5 Pro Turbo leads o3 Turbo by 0.5 points (83.9 versus 83.4).

The price picture favours Gemini 2.5 Pro Turbo. The context picture favours Gemini 2.5 Pro Turbo. Those two dimensions often matter more than a few benchmark points once a model is good enough for the task.

If you need a single default, start with Gemini 2.5 Pro Turbo for quality-sensitive work, and check whether its price holds at your expected volume before committing.

Choose Gemini 2.5 Pro Turbo if

  • You want the higher average benchmark score in this index.
  • Unit cost matters and you want the cheaper blended price.
  • You need the larger 1,000,000-token context window.
  • You need the larger 128,000-token output limit.

Choose o3 Turbo if

  • You prefer OpenAI's tooling or already use it.

FAQ

Is Gemini 2.5 Pro Turbo better than o3 Turbo?

On the index average, Gemini 2.5 Pro Turbo leads o3 Turbo by 0.5 points (83.9 versus 83.4). The better choice depends on price, context and your task. Gemini 2.5 Pro Turbo wins 8 benchmarks, o3 Turbo wins 3.

Which is cheaper, Gemini 2.5 Pro Turbo or o3 Turbo?

Gemini 2.5 Pro Turbo is cheaper on a blended 3:1 basis at about $30.39 per million tokens, versus $33.40 for o3 Turbo.

Which has the larger context window?

Gemini 2.5 Pro Turbo has the larger context window at 1,000,000 tokens. o3 Turbo has 200,000 tokens.

Are these models open weights?

Gemini 2.5 Pro Turbo is proprietary; o3 Turbo is proprietary.

Which should I choose for production?

If you need a single default, start with Gemini 2.5 Pro Turbo for quality-sensitive work, and check whether its price holds at your expected volume before committing.

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