Google DeepMind · multimodal · Released 2025-10-07

Gemini 2.5 Pro Mini: pricing, context window and benchmarks

Gemini 2.5 Pro Mini is a multimodal model from Google DeepMind. It offers a 128,000-token context window, costs $10.07 per million input tokens and $53.47 per million output tokens, and averages 74.2 across the index's benchmark suite.

visionmultimodal
Input price
$10.07
per 1M tokens
Output price
$53.47
per 1M tokens
Context
128,000
tokens
Avg score
74.2
rank #270 of 600
Arena Elo
1399.4
modelled
Max output
65,536
tokens

Pricing

Gemini 2.5 Pro Mini costs $10.07 per million input tokens and $53.47 per million output tokens. A blended 3:1 input-to-output mix works out to about $20.92 per million tokens. Cached input is listed at $1.16 per million tokens.

ItemPriceNotes
Input$10.07per 1M tokens
Output$53.47per 1M tokens
Cached input$1.16per 1M tokens
Blended 3:1$20.92estimate per 1M tokens
1M in + 1M out$63.54estimate

Benchmarks

Scores below are modelled estimates on a 0–100 scale. Use them to compare relative position, not as official vendor results.

BenchmarkScoreRankPercentileRelative
MMLU-Pro 79.1 206 66th
GPQA Diamond 69.9 266 56th
SWE-bench Verified 63.6 242 60th
HumanEval 79.0 265 56th
MATH-500 76.0 298 50th
AIME 2025 68.2 292 51th
LiveCodeBench 65.4 284 53th
IFEval 81.5 287 52th
TruthfulQA 78.4 239 60th
HellaSwag 83.3 312 48th
MMMU 71.4 263 56th
Arena Elo 1399.4 209 65th

What Gemini 2.5 Pro Mini is good for

Gemini 2.5 Pro Mini is a general-purpose model in the index. It handles text generation, summarization and question answering, and it can be a sensible default when you need a balance of quality, price and context. At $10.07 per million input tokens with a 128,000-token window, check its benchmark profile against the specific task before committing.

Strengths

  • Large 128,000-token context window for long documents and agent traces.
  • Accepts more than text, including image input where the provider supports it.

Trade-offs

  • Proprietary licence: you cannot download the weights or self-host the model.
  • Premium input pricing at $10.07 per million tokens.

How it compares

ModelProviderContextInput / 1MAvg score
GPT-4.1 Mini OpenAI 128000 $10.43 74.3
Nova Lite Reasoning Amazon 32768 $9.92 74.3
Gemini 2.5 Pro Mini Google DeepMind 128000 $10.07 74.2
Llama 3 Novita Chat Novita AI 65536 $3.50 74.2
Gemma 3 Instruct Google DeepMind 128000 $3.72 74.1
Reka Flash Reka AI 128000 $9.95 74.1

Browse all comparisons →

FAQ

How much does Gemini 2.5 Pro Mini cost?

Gemini 2.5 Pro Mini is listed at $10.07 per million input tokens and $53.47 per million output tokens. Cached input is $1.16 per million tokens. A blended 3:1 input-to-output mix is about $20.92 per million tokens.

What is the context window of Gemini 2.5 Pro Mini?

Gemini 2.5 Pro Mini has a context window of 128,000 tokens and can emit up to 65,536 output tokens per request in this index.

Is Gemini 2.5 Pro Mini open weights?

No. Gemini 2.5 Pro Mini is a proprietary model with a proprietary licence, so you cannot download the weights.

How does Gemini 2.5 Pro Mini score on benchmarks?

Gemini 2.5 Pro Mini averages 74.2 across the scored benchmarks in this index, ranking #270 of 600 models. Its strongest relative result is Arena Elo at 1399.4.

What is Gemini 2.5 Pro Mini best for?

Gemini 2.5 Pro Mini is a general-purpose model in the index. It handles text generation, summarization and question answering, and it can be a sensible default when you need a balance of quality, price and context. At $10.07 per million input tokens with a 128,000-token window, check its benchmark profile against the specific task before committing.

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