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Google•Open weights•February 5, 2026

Gemini 3 Deep Think

Intelligence, Performance & Price Analysis

Source:Artificial Analysis scrapeType:Open weights
Input Price#1/548
$0.00
Output Price#1/548
$0.00
Intelligence
not provided

This profile does not provide this metric.

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

General purpose assistant

Route complex or high-value tasks here when the extra capability justifies the cost.

Best for

    Weak or unsuitable

    • See model-fit matrix below

    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
    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

    Analysis of Google's Gemini 3 Deep Think and comparison to other AI models across key metrics including quality, price, performance (tokens per second & time to first token), context window & more.

    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)

    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 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)Claude Sonnet 5 (max): 1M1MAClaude Sonnet 5 (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

    Analysis of Google's Gemini 3 Deep Think and comparison to other AI models across key metrics including quality, price, performance (tokens per second & time to first token), context window & more.

    Gemini 3 Deep Think

    Model type
    Open weights
    Reasoning
    Yes
    Input modalities
    Gemini 3 Deep Think supports text input.
    Output modalities
    Gemini 3 Deep Think supports text output.
    Context window
    130k tokens
    Open weights / source
    No, Gemini 3 Deep Think is proprietary. The model weights are not publicly available.
    Parameters
    Gemini 3 Deep Think is a proprietary model and Google has not disclosed the model size or parameter count.

    Methodology & Provenance

    This page is rendered from the normalized profile and page JSON for Gemini 3 Deep Think.

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

    Frequently Asked Questions