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Google•Open weights•March 25, 2025

Gemini 2.5 Pro (Mar)

Intelligence, Performance & Price Analysis

Source:Artificial Analysis scrapeType:Open weights
Intelligence
23

score

Gemini 2.5 Pro Preview (Mar' 25) scores 23 (estimated) on the Artificial Analysis Intelligence …

vs class avg: 14

Input Price#1/548
$0.00
Output Price#1/548
$0.00
Speed
not provided

This profile does not provide this metric.

Latency
not provided

This profile does not provide this metric.

Decision Overview

Ethen's intelligence-driven routing assessment for this model

Overall verdict

Strong general-purpose model

Suitable for most production tasks, but high-volume or repetitive work should still be compared against cheaper routes.

Best for

  • Code generation
  • Content analysis
  • Structured extraction
  • Customer-facing chat

Weak or unsuitable

  • Extremely long-context tasks
  • Ultra-low-latency requirements

Routing recommendation

1

Use the fit matrix to compare against cheaper routes when volume rises

Cost pressure

Competitive pricing — $0.00 / M input, $0.00 / M output. Cost pressure is low enough for sustained production use.

Model-fit matrix

Use this model where capability pays for itself; route away where volume, latency, or budget dominate.

Use caseFitReasonRouting note
Complex reasoning & agentic workflowsStrongIntelligence score 23 supports capable reasoning, but very hard tasks may benefit from higher-tier models.Good for most complex tasks; consider a frontier model for the hardest 10%.
Cost-sensitive pipelinesExcellentOutput pricing at $0.00 is very competitive for high-volume workloads.Excellent for budget-constrained pipelines; enable caching to reduce costs further.

Cost pressure

Low

Pricing is competitive — input $0.00, output $0.00. Suitable for sustained production use.

Cheaper substitutes

No cheaper substitute is supported by the current price data.

Route away when

  • Extreme scale where even low costs matter

Highlights

Key benchmark results at a glance.

Intelligence

Intelligence position

Open section

Artificial Analysis Intelligence Index · Higher is better · Evaluation results measured independently by Artificial Analysis

Gemini 2.5 Pro Preview (Mar' 25) scores 23 (estimated) on the Artificial Analysis Intelligence Index, placing it above average among other reasoning models in a similar price tier (median: 14).

0204060Claude Fable 5 (with fallback): 6060AClaude Fable 5 (with fal…GPT-5.5 (xhigh): 5555AIGPT-5.5 (xhigh)GLM-5.2 (max): 5151?GLM-5.2 (max)Gemini 3.5 Flash: 5050GGemini 3.5 FlashMiniMax-M3: 4444?MiniMax-M3DeepSeek V4 Pro (max): 4444DDeepSeek V4 Pro (max)Kimi K2.6: 4444KKimi K2.6Muse Spark: 4343?Muse SparkNemotron 3 Ultra: 3838NNemotron 3 UltraGrok 4.3 (high): 3838xGrok 4.3 (high)gpt-oss-120b (high): 2424AIgpt-oss-120b (high)Gemini 2.5 Pro (Mar): 2323GGemini 2.5 Pro (Mar)

Speed

Speed position

Open section

Output tokens per second · Higher is better · Evaluation results measured independently by Artificial Analysis

Higher throughput supports faster interactive use.

088175263350gpt-oss-120b (high): 316316AIgpt-oss-120b (high)Nemotron 3 Ultra: 248248NNemotron 3 UltraGLM-5.2 (max): 216216?GLM-5.2 (max)Gemini 3.5 Flash: 192192GGemini 3.5 FlashGrok 4.3 (high): 164164xGrok 4.3 (high)MiniMax-M3: 9595?MiniMax-M3GPT-5.5 (xhigh): 8888AIGPT-5.5 (xhigh)Kimi K2.6: 7676KKimi K2.6DeepSeek V4 Pro (max): 7272DDeepSeek V4 Pro (max)Claude Fable 5 (with fallback): 7171AClaude Fable 5 (with fal…

Context, Cost & Pricing

Price/value position

Open section

Weighted average cost (USD) per Intelligence Index task · Lower is better · Evaluation results measured independently by Artificial Analysis

Pricing is competitive — input $0.00, output $0.00. Suitable for sustained production use.

$0.00$1.00$2.00$3.00$4.00$5.00DeepSeek V4 Pro (max): $0.04$0.04DDeepSeek V4 Pro (max)gpt-oss-120b (high): $0.06$0.06AIgpt-oss-120b (high)MiniMax-M3: $0.12$0.12?MiniMax-M3Grok 4.3 (high): $0.14$0.14xGrok 4.3 (high)Nemotron 3 Ultra: $0.24$0.24NNemotron 3 UltraKimi K2.6: $0.35$0.35KKimi K2.6GLM-5.2 (max): $0.37$0.37?GLM-5.2 (max)Gemini 3.5 Flash: $0.59$0.59GGemini 3.5 FlashGPT-5.5 (xhigh): $0.86$0.86AIGPT-5.5 (xhigh)Claude Fable 5 (with fallback): $2.75$2.75AClaude Fable 5 (with fal…

Intelligence & Quality

Benchmark scores and quality indices measuring model capability.

Artificial Analysis Intelligence Index by Open Weights / Proprietary

Artificial Analysis Intelligence Index v4.1 incorporates 9 evaluations: GDPval-AA v2, 𝜏³-Banking, Terminal-Bench v2.1, SciCode, Humanity's Last Exam, GPQA Diamond, CritPt, AA-Omniscience, AA-LCR · Evaluation results measured independently by Artificial Analysis

Source and methodology are summarized below

Chart source and provenance are listed in Methodology & sources below.

0204060Claude Fable 5 (with fallback): 6060AClaude Fable 5 (with fal…Claude Opus 4.8 (max): 5656AClaude Opus 4.8 (max)GPT-5.5 (xhigh): 5555AIGPT-5.5 (xhigh)Claude Opus 4.7 (max): 5454AClaude Opus 4.7 (max)Claude Sonnet 5 (max): 5353AClaude Sonnet 5 (max)GPT-5.5 (high): 5353AIGPT-5.5 (high)GPT-5.4 (xhigh): 5151AIGPT-5.4 (xhigh)GLM-5.2 (max): 5151?GLM-5.2 (max)GPT-5.5 (medium): 5050AIGPT-5.5 (medium)Gemini 3.5 Flash: 5050GGemini 3.5 Flash

Artificial Analysis Intelligence Index

Artificial Analysis Intelligence Index v4.1 incorporates 9 evaluations: GDPval-AA v2, 𝜏³-Banking, Terminal-Bench v2.1, SciCode, Humanity's Last Exam, GPQA Diamond, CritPt, AA-Omniscience, AA-LCR · Evaluation results measured independently by Artificial Analysis

Source and methodology are summarized below

Chart source and provenance are listed in Methodology & sources below.

0204060Claude Fable 5 (with fallback): 6060AClaude Fable 5 (with fal…Claude Opus 4.8 (max): 5656AClaude Opus 4.8 (max)GPT-5.5 (xhigh): 5555AIGPT-5.5 (xhigh)Claude Opus 4.7 (max): 5454AClaude Opus 4.7 (max)Claude Sonnet 5 (max): 5353AClaude Sonnet 5 (max)GPT-5.5 (high): 5353AIGPT-5.5 (high)GPT-5.4 (xhigh): 5151AIGPT-5.4 (xhigh)GLM-5.2 (max): 5151?GLM-5.2 (max)GPT-5.5 (medium): 5050AIGPT-5.5 (medium)Gemini 3.5 Flash: 5050GGemini 3.5 Flash

Intelligence

Artificial Analysis Intelligence Index · Higher is better · Evaluation results measured independently by Artificial Analysis

Source and methodology are summarized below

Chart source and provenance are listed in Methodology & sources below.

0204060Claude Fable 5 (with fallback): 6060AClaude Fable 5 (with fal…GPT-5.5 (xhigh): 5555AIGPT-5.5 (xhigh)GLM-5.2 (max): 5151?GLM-5.2 (max)Gemini 3.5 Flash: 5050GGemini 3.5 FlashMiniMax-M3: 4444?MiniMax-M3DeepSeek V4 Pro (max): 4444DDeepSeek V4 Pro (max)Kimi K2.6: 4444KKimi K2.6Muse Spark: 4343?Muse SparkNemotron 3 Ultra: 3838NNemotron 3 UltraGrok 4.3 (high): 3838xGrok 4.3 (high)

Speed & Throughput

Output tokens per second and generation throughput.

Speed

Output tokens per second · Higher is better · Evaluation results measured independently by Artificial Analysis

Source and methodology are summarized below

Chart source and provenance are listed in Methodology & sources below.

088175263350gpt-oss-120b (high): 316316AIgpt-oss-120b (high)Nemotron 3 Ultra: 248248NNemotron 3 UltraGLM-5.2 (max): 216216?GLM-5.2 (max)Gemini 3.5 Flash: 192192GGemini 3.5 FlashGrok 4.3 (high): 164164xGrok 4.3 (high)MiniMax-M3: 9595?MiniMax-M3GPT-5.5 (xhigh): 8888AIGPT-5.5 (xhigh)Kimi K2.6: 7676KKimi K2.6DeepSeek V4 Pro (max): 7272DDeepSeek V4 Pro (max)Claude Fable 5 (with fallback): 7171AClaude Fable 5 (with fal…

Context, Cost & Pricing

Context window size, cost per task, and token pricing.

Context Window

Context window: tokens limit · Higher is better · Evaluation results measured independently by Artificial Analysis

Source and methodology are summarized below

Chart source and provenance are listed in Methodology & sources below.

0500k1M1.5M2MGPT-5.4 (xhigh): 1.1M1.1MAIGPT-5.4 (xhigh)Gemini 2.5 Pro (Mar): 1M1MGGemini 2.5 Pro (Mar)Gemini 3.5 Flash: 1M1MGGemini 3.5 FlashClaude Fable 5 (with fallback): 1M1MAClaude Fable 5 (with fal…GLM-5.2 (max): 1M1M?GLM-5.2 (max)DeepSeek V4 Pro (max): 1M1MDDeepSeek V4 Pro (max)Grok 4.3 (high): 1M1MxGrok 4.3 (high)MiniMax-M3: 1M1M?MiniMax-M3Claude Opus 4.8 (max): 1M1MAClaude Opus 4.8 (max)Claude Opus 4.7 (max): 1M1MAClaude Opus 4.7 (max)

Cost per Intelligence Index Task

Weighted average cost (USD) per Artificial Analysis Intelligence Index task, segmented by token type. Lower is better · Evaluation results measured independently by Artificial Analysis

Source and methodology are summarized below

Chart source and provenance are listed in Methodology & sources below.

00.51Claude Opus 4.8 (max): 0.20.2AClaude Opus 4.8 (max)Claude Sonnet 5 (max): 0.10.1AClaude Sonnet 5 (max)GPT-5.5 (xhigh): 0.10.1AIGPT-5.5 (xhigh)Claude Sonnet 4.6 (max): 0.10.1AClaude Sonnet 4.6 (max)GPT-5.5 (high): 0.10.1AIGPT-5.5 (high)Gemini 3.5 Flash: 0.10.1GGemini 3.5 FlashGPT-5.5 (medium): 0.10.1AIGPT-5.5 (medium)GPT-5.4 (xhigh): 0.10.1AIGPT-5.4 (xhigh)GPT-5.5 (low): 00AIGPT-5.5 (low)Qwen3.7 Max: 00QQwen3.7 Max

Cost per Task

Weighted average cost (USD) per Intelligence Index task · Lower is better · Evaluation results measured independently by Artificial Analysis

Source and methodology are summarized below

Chart source and provenance are listed in Methodology & sources below.

$0.00$1.00$2.00$3.00$4.00$5.00Claude Fable 5 (with fallback): $2.75$2.75AClaude Fable 5 (with fal…GPT-5.5 (xhigh): $0.86$0.86AIGPT-5.5 (xhigh)Gemini 3.5 Flash: $0.59$0.59GGemini 3.5 FlashGLM-5.2 (max): $0.37$0.37?GLM-5.2 (max)Kimi K2.6: $0.35$0.35KKimi K2.6Nemotron 3 Ultra: $0.24$0.24NNemotron 3 UltraGrok 4.3 (high): $0.14$0.14xGrok 4.3 (high)MiniMax-M3: $0.12$0.12?MiniMax-M3gpt-oss-120b (high): $0.06$0.06AIgpt-oss-120b (high)DeepSeek V4 Pro (max): $0.04$0.04DDeepSeek V4 Pro (max)

Cost to Run Artificial Analysis Intelligence Index

Cost (USD) to run all evaluations in the Artificial Analysis Intelligence Index · Evaluation results measured independently by Artificial Analysis

Source and methodology are summarized below

Chart source and provenance are listed in Methodology & sources below.

0100200300400Claude Opus 4.7 (max): 317317AClaude Opus 4.7 (max)Claude Opus 4.8 (max): 292292AClaude Opus 4.8 (max)Claude Sonnet 4.6 (max): 149149AClaude Sonnet 4.6 (max)GPT-5.5 (xhigh): 132132AIGPT-5.5 (xhigh)GPT-5.5 (high): 119119AIGPT-5.5 (high)Gemini 3.5 Flash: 114114GGemini 3.5 FlashGPT-5.5 (medium): 9999AIGPT-5.5 (medium)GPT-5.4 (xhigh): 8989AIGPT-5.4 (xhigh)GPT-5.5 (low): 6565AIGPT-5.5 (low)Gemini 3.1 Pro Preview: 4949GGemini 3.1 Pro Preview

Pricing: Cache Hit, Input, and Output

Price (USD per M Tokens) · Evaluation results measured independently by Artificial Analysis

Source and methodology are summarized below

Chart source and provenance are listed in Methodology & sources below.

0250k500k750k1MClaude Opus 4.8 (max): 3131AClaude Opus 4.8 (max)Claude Opus 4.7 (max): 3131AClaude Opus 4.7 (max)Claude Sonnet 4.6 (max): 1818AClaude Sonnet 4.6 (max)GPT-5.4 (xhigh): 1818AIGPT-5.4 (xhigh)Gemini 3.1 Pro Preview: 1414GGemini 3.1 Pro PreviewClaude Sonnet 5 (max): 1212AClaude Sonnet 5 (max)Claude Sonnet 5 (Non-reasoning): 1212AClaude Sonnet 5 (Non-rea…Gemini 3.5 Flash: 1111GGemini 3.5 FlashQwen3.7 Max: 1010QQwen3.7 MaxGLM-5.2 (max): 6.16.1?GLM-5.2 (max)cache Hitinputoutput

Specifications

Technical Specifications

Gemini 2.5 Pro Preview (Mar' 25) scores 23 (estimated) on the Artificial Analysis Intelligence Index, placing it above average among other reasoning models in a similar price tier (median: 14).

Gemini 2.5 Pro (Mar)

Model type
Open weights
Reasoning
Yes
Input modalities
Gemini 2.5 Pro Preview (Mar' 25) supports text, image, speech, and video input.
Output modalities
Gemini 2.5 Pro Preview (Mar' 25) supports text output.
Context window
Gemini 2.5 Pro Preview (Mar' 25) has a context window of 1.0M tokens. This determines how much text and conversation history the model can process in a single request.
Open weights / source
No, Gemini 2.5 Pro Preview (Mar' 25) is proprietary. The model weights are not publicly available.
Parameters
Gemini 2.5 Pro Preview (Mar' 25) is a proprietary model and Google has not disclosed the model size or parameter count.
Knowledge cutoff
Gemini 2.5 Pro Preview (Mar' 25) has a knowledge cutoff of January 2025. The model's training data includes information up to this date.

Methodology & Provenance

This page is rendered from the normalized profile and page JSON for Gemini 2.5 Pro (Mar).

Benchmark values are preserved as normalized; only layout, disclosure ordering, and typography are adjusted for readability.

Frequently Asked Questions