Google DeepMind · frontier · Released 2026-03-07

Gemini 3 Pro Reasoning: pricing, context window and benchmarks

Gemini 3 Pro Reasoning is a frontier model from Google DeepMind. It offers a 200,000-token context window, costs $19.69 per million input tokens and $98.36 per million output tokens, and averages 87.5 across the index's benchmark suite.

frontierreasoningcodingvisionlong contextmultimodal
Input price
$19.69
per 1M tokens
Output price
$98.36
per 1M tokens
Context
200,000
tokens
Avg score
87.5
rank #15 of 600
Arena Elo
1485.0
modelled
Max output
8,192
tokens

Pricing

Gemini 3 Pro Reasoning costs $19.69 per million input tokens and $98.36 per million output tokens. A blended 3:1 input-to-output mix works out to about $39.36 per million tokens. Cached input is listed at $2.92 per million tokens.

ItemPriceNotes
Input$19.69per 1M tokens
Output$98.36per 1M tokens
Cached input$2.92per 1M tokens
Blended 3:1$39.36estimate per 1M tokens
1M in + 1M out$118.05estimate

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 90.1 5 99th
GPQA Diamond 83.9 13 98th
SWE-bench Verified 76.3 27 96th
HumanEval 90.2 43 93th
MATH-500 93.3 9 99th
AIME 2025 88.8 12 98th
LiveCodeBench 82.0 25 96th
IFEval 93.8 13 98th
TruthfulQA 90.3 2 100th
HellaSwag 93.5 18 97th
MMMU 80.8 46 92th
Arena Elo 1485.0 16 97th

What Gemini 3 Pro Reasoning is good for

Gemini 3 Pro Reasoning sits in the frontier tier of the index. It is aimed at work where answer quality matters more than unit cost: hard reasoning, multi-step coding, document analysis and multimodal inputs. At $19.69 per million input tokens and a 200,000-token context window, it is a premium option, so reserve it for tasks where a cheaper model measurably fails.

Strengths

  • Top-tier average benchmark score (87.5), placing it #15 of 600.
  • Large 200,000-token context window for long documents and agent traces.
  • Accepts more than text, including image input where the provider supports it.
  • Reasoning-oriented profile, useful for multi-step problems and structured analysis.
  • Coding benchmarks are a relative strength within its tier.

Trade-offs

  • Proprietary licence: you cannot download the weights or self-host the model.
  • Premium input pricing at $19.69 per million tokens.
  • Cost can climb quickly on long outputs and high-volume traffic.

How it compares

ModelProviderContextInput / 1MAvg score
Claude Opus 4.5 Anthropic 400000 $19.42 87.7
GPT-5.2 Reasoning OpenAI 1000000 $20.98 87.5
Gemini 3 Pro Reasoning Google DeepMind 200000 $19.69 87.5
o4 Reasoning OpenAI 1000000 $19.69 87.5
GPT-5.2 Turbo OpenAI 1000000 $20.73 87.4
GPT-5.2 Vision OpenAI 1000000 $19.03 87.4

Browse all comparisons →

FAQ

How much does Gemini 3 Pro Reasoning cost?

Gemini 3 Pro Reasoning is listed at $19.69 per million input tokens and $98.36 per million output tokens. Cached input is $2.92 per million tokens. A blended 3:1 input-to-output mix is about $39.36 per million tokens.

What is the context window of Gemini 3 Pro Reasoning?

Gemini 3 Pro Reasoning has a context window of 200,000 tokens and can emit up to 8,192 output tokens per request in this index.

Is Gemini 3 Pro Reasoning open weights?

No. Gemini 3 Pro Reasoning is a proprietary model with a proprietary licence, so you cannot download the weights.

How does Gemini 3 Pro Reasoning score on benchmarks?

Gemini 3 Pro Reasoning averages 87.5 across the scored benchmarks in this index, ranking #15 of 600 models. Its strongest relative result is TruthfulQA at 90.3.

What is Gemini 3 Pro Reasoning best for?

Gemini 3 Pro Reasoning sits in the frontier tier of the index. It is aimed at work where answer quality matters more than unit cost: hard reasoning, multi-step coding, document analysis and multimodal inputs. At $19.69 per million input tokens and a 200,000-token context window, it is a premium option, so reserve it for tasks where a cheaper model measurably fails.

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