Head-to-head · multimodal vs multimodal

Gemini 2.5 Pro vs Gemini 3 Flash: which model should you choose?

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

Google DeepMind

Gemini 2.5 Pro

Gemini 2.5 Pro is a multimodal model from Google DeepMind. It offers a 200,000-token context window, costs $15.20 per million input tokens and $57.83 per million output tokens, and averages 81.6 across the index's benchmark suite.

Input
$15.20 / 1M
Output
$57.83 / 1M
Context
200,000
Avg score
81.6
Open weights
No
Full Gemini 2.5 Pro page
Google DeepMind

Gemini 3 Flash

Gemini 3 Flash is a multimodal model from Google DeepMind. It offers a 128,000-token context window, costs $15.67 per million input tokens and $70.15 per million output tokens, and averages 83.6 across the index's benchmark suite.

Input
$15.67 / 1M
Output
$70.15 / 1M
Context
128,000
Avg score
83.6
Open weights
No
Full Gemini 3 Flash page

Specification comparison

SpecGemini 2.5 ProGemini 3 FlashEdge
Input price / 1M$15.20$15.67A
Output price / 1M$57.83$70.15A
Context window200,000128,000A
Max output16,38465,536B
Average score81.683.6B
Arena Elo1455.01450.7A
Open weightsNoNoTie

Benchmark comparison

Gemini 2.5 Pro wins 3, Gemini 3 Flash wins 9, and 0 benchmarks are tied. The table shows the modelled score for each model and the gap.

BenchmarkGemini 2.5 ProGemini 3 FlashGapWinner
MMLU-Pro83.683.70.1Gemini 3 Flash
GPQA Diamond76.580.33.8Gemini 3 Flash
SWE-bench Verified70.272.52.3Gemini 3 Flash
HumanEval87.786.21.5Gemini 2.5 Pro
MATH-50086.889.02.2Gemini 3 Flash
AIME 202576.184.58.4Gemini 3 Flash
LiveCodeBench76.279.33.1Gemini 3 Flash
IFEval87.691.03.4Gemini 3 Flash
TruthfulQA82.884.82.0Gemini 3 Flash
HellaSwag89.789.80.1Gemini 3 Flash
MMMU80.578.22.3Gemini 2.5 Pro
Arena Elo1455.01450.74.3Gemini 2.5 Pro

Price analysis

On a blended 3:1 input-to-output basis, Gemini 2.5 Pro costs about $25.86 per million tokens and Gemini 3 Flash costs about $29.29. Gemini 2.5 Pro is roughly 12% cheaper than Gemini 3 Flash. At high volume, that gap compounds quickly, so price should carry real weight unless the quality difference is decisive.

Gemini 2.5 Pro has the larger context window at 200,000 tokens, compared with 128,000 for Gemini 3 Flash. That matters for long documents, large codebases and multi-step agent traces.

Verdict

Across 12 shared benchmarks, Gemini 2.5 Pro wins 3, Gemini 3 Flash wins 9, and 0 are tied. On the index average, Gemini 3 Flash leads Gemini 2.5 Pro by 2.0 points (83.6 versus 81.6).

The price picture favours Gemini 2.5 Pro. The context picture favours Gemini 2.5 Pro. 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 3 Flash for quality-sensitive work and Gemini 2.5 Pro for high-volume, well-scoped tasks. Run both on a sample of your own traffic before locking in a choice.

Choose Gemini 2.5 Pro if

  • Unit cost matters and you want the cheaper blended price.
  • You need the larger 200,000-token context window.

Choose Gemini 3 Flash if

  • You want the higher average benchmark score in this index.
  • You need the larger 65,536-token output limit.

FAQ

Is Gemini 2.5 Pro better than Gemini 3 Flash?

On the index average, Gemini 3 Flash leads Gemini 2.5 Pro by 2.0 points (83.6 versus 81.6). The better choice depends on price, context and your task. Gemini 2.5 Pro wins 3 benchmarks, Gemini 3 Flash wins 9.

Which is cheaper, Gemini 2.5 Pro or Gemini 3 Flash?

Gemini 2.5 Pro is cheaper on a blended 3:1 basis at about $25.86 per million tokens, versus $29.29 for Gemini 3 Flash.

Which has the larger context window?

Gemini 2.5 Pro has the larger context window at 200,000 tokens. Gemini 3 Flash has 128,000 tokens.

Are these models open weights?

Gemini 2.5 Pro is proprietary; Gemini 3 Flash is proprietary.

Which should I choose for production?

If you need a single default, start with Gemini 3 Flash for quality-sensitive work and Gemini 2.5 Pro for high-volume, well-scoped tasks. Run both on a sample of your own traffic before locking in a choice.

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