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Google•Open weights•June 17, 2025

Gemini 2.5 Flash-Lite

Intelligence, Performance & Price Analysis

Source:Artificial Analysis scrapeType:Open weights
Intelligence
7

score

Gemini 2.5 Flash-Lite (Non-reasoning) scores 7 (estimated) on the Artificial Analysis Intelligence …

vs class avg: 11

Speed
264.1

output tokens/sec

Gemini 2.5 Flash-Lite (Non-reasoning) generates output at 264. …

Latency
0.32s

TTFT

Gemini 2.5 Flash-Lite (Non-reasoning) has a time to first token (TTFT) of 0. …

Input Price
$0.10

/ 1M tokens

Gemini 2.5 Flash-Lite (Non-reasoning) costs $0.10 per 1M input tokens (very competitive, median: $0. …

Output Price
$0.40

/ 1M tokens

Gemini 2.5 Flash-Lite (Non-reasoning) costs $0.10 per 1M input tokens (very competitive, median: $0. …

Decision Overview

Ethen's intelligence-driven routing assessment for this model

Overall verdict

Budget-friendly / task-specific model

Best for high-volume, simple, or domain-specific tasks where cost or speed matters more than deep reasoning.

Best for

  • Simple Q&A
  • High-throughput chat
  • Classification
  • Extraction
  • Low-latency chat
  • Interactive turn-taking

Weak or unsuitable

  • Complex reasoning
  • Creative writing
  • Multi-step tasks

Routing recommendation

1

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

Cost pressure

Competitive pricing — $0.10 / M input, $0.40 / 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 workflowsWeakIntelligence score 7 is better suited for straightforward tasks than multi-step reasoning.Avoid routing complex agentic tasks to this model.
High-volume chat & customer-facingStrongOutput speed 264.1 tokens/sec is adequate for chat.Suitable for chat; monitor latency under concurrent load.
Latency-sensitive applicationsExcellentTTFT 0.32s — among the lowest latencies, suitable for interactive latency-critical use cases.Good first choice for real-time applications.
Cost-sensitive pipelinesExcellentOutput pricing at $0.40 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 $0.10, output $0.40. 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 Flash-Lite (Non-reasoning) scores 7 (estimated) on the Artificial Analysis Intelligence Index, placing it below average among other non-reasoning models in a similar price tier (median: 11).

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 Flash-Lite: 6.96.9GGemini 2.5 Flash-Lite

Speed

Speed position

Open section

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

Gemini 2.5 Flash-Lite (Non-reasoning) generates output at 264.1 tokens per second (based on Google's API), which is well above average compared to other non-reasoning models in a similar price tier (median: 96.0 t/s).

088175263350gpt-oss-120b (high): 316316AIgpt-oss-120b (high)Gemini 2.5 Flash-Lite: 264264GGemini 2.5 Flash-LiteNemotron 3 Ultra: 248248NNemotron 3 UltraGLM-5.2 (max): 216216?GLM-5.2 (max)Gemini 3.5 Flash: 192192GGemini 3.5 FlashGPT-4.1 nano: 188188AIGPT-4.1 nanoLing 2.6 Flash: 181181?Ling 2.6 FlashMistral Small 3.1: 171171MiMistral Small 3.1Grok 4.3 (high): 164164xGrok 4.3 (high)Mistral Small 3.2: 147147MiMistral Small 3.2Llama 4 Maverick: 118118MLlama 4 MaverickLlama 4 Scout: 109109MLlama 4 Scout

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 $0.10, output $0.40. 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.

AA-Omniscience Index

AA-Omniscience Index (higher is better) measures knowledge reliability and hallucination. It rewards correct answers, penalizes hallucinations, and has no penalty for refusing to answer. Scores range from -100 to 100, where 0 means as many correct as incorrect answers, and negative scores mean more incorrect than correct. · Evaluation results measured independently by Artificial Analysis

Source and methodology are summarized below

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

-200204060Claude Fable 5 (with fallback): 4040AClaude Fable 5 (with fal…Gemini 3.5 Flash: 2323GGemini 3.5 FlashGPT-5.5 (xhigh): 2020AIGPT-5.5 (xhigh)Grok 4.3 (high): 1818xGrok 4.3 (high)Kimi K2.6: 6.46.4KKimi K2.6Muse Spark: 4.14.1?Muse SparkGLM-5.2 (max): 44?GLM-5.2 (max)MiniMax-M3: 1.41.4?MiniMax-M3Nemotron 3 Ultra: -0.8-0.8NNemotron 3 UltraDeepSeek V4 Pro (max): -10-10DDeepSeek V4 Pro (max)

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…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)

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…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)

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)Gemini 2.5 Flash-Lite: 6.96.9GGemini 2.5 Flash-Lite

Speed & Throughput

Output tokens per second and generation throughput.

Output 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)Gemini 2.5 Flash-Lite: 264264GGemini 2.5 Flash-LiteNemotron 3 Ultra: 248248NNemotron 3 UltraGLM-5.2 (max): 216216?GLM-5.2 (max)Gemini 3.5 Flash: 192192GGemini 3.5 FlashGPT-4.1 nano: 188188AIGPT-4.1 nanoLing 2.6 Flash: 181181?Ling 2.6 FlashMistral Small 3.1: 171171MiMistral Small 3.1Grok 4.3 (high): 164164xGrok 4.3 (high)Mistral Small 3.2: 147147MiMistral Small 3.2

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)Gemini 2.5 Flash-Lite: 264264GGemini 2.5 Flash-LiteNemotron 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)

Latency & Response Time

Time to first token and end-to-end response latency.

End-to-End Response Time

Seconds to output 500 tokens, including reasoning model 'thinking' time · 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.

0s2.5s5s7.5s10sMistral Large 3: 9.4s9.4sMiMistral Large 3Ministral 3 14B: 6.4s6.4s?Ministral 3 14BLlama 3.3 70B: 5.8s5.8sMLlama 3.3 70BGPT-4.1 mini: 5.8s5.8sAIGPT-4.1 miniQwen3 Coder Next: 5.6s5.6sQQwen3 Coder NextMistral Medium 3.1: 5.6s5.6sMiMistral Medium 3.1Ministral 3 8B: 5.4s5.4s?Ministral 3 8BMiniMax-M3: 5.2s5.2s?MiniMax-M3Llama 4 Scout: 4.6s4.6sMLlama 4 ScoutLlama 4 Maverick: 4.2s4.2sMLlama 4 MaverickGemini 2.5 Flash-Lite: 1.9s1.9sGGemini 2.5 Flash-Lite

Latency: Time To First Answer Token

Seconds to first answer token received · Accounts for reasoning model 'thinking' time · Evaluation results measured independently by Artificial Analysis

Source and methodology are summarized below

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

0s15s30s45s60sMiniMax-M3: 21s21s?MiniMax-M3GLM-5.2 (max): 9.3s9.3s?GLM-5.2 (max)Nemotron 3 Ultra: 9.2s9.2sNNemotron 3 Ultragpt-oss-120b (high): 6.3s6.3sAIgpt-oss-120b (high)Gemini 2.5 Flash-Lite: 0s0sGGemini 2.5 Flash-LiteGPT-4.1 nano: 0s0sAIGPT-4.1 nanoMistral Small 3.2: 0s0sMiMistral Small 3.2Mistral Small 3.1: 0s0sMiMistral Small 3.1Ministral 3 8B: 0s0s?Ministral 3 8BLlama 4 Scout: 0s0sMLlama 4 Scout

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.

02.5M5M7.5M10MLlama 4 Scout: 10M10MMLlama 4 ScoutGemini 2.5 Flash-Lite: 1M1MGGemini 2.5 Flash-LiteGemini 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-M3GPT-4.1 mini: 1M1MAIGPT-4.1 miniLlama 4 Maverick: 1M1MMLlama 4 Maverick

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.

00.51GLM-5.2 (max): 00?GLM-5.2 (max)Kimi K2.6: 00KKimi K2.6Nemotron 3 Ultra: 00NNemotron 3 UltraQwen3 Coder Next: 00QQwen3 Coder NextMiniMax-M3: 00?MiniMax-M3Mistral Medium 3.1: 00MiMistral Medium 3.1Grok 4.3 (high): 00xGrok 4.3 (high)MiMo-V2-Flash: 00?MiMo-V2-FlashDeepSeek V4 Pro (max): 00DDeepSeek V4 Pro (max)GPT-4.1 mini: 00AIGPT-4.1 mini

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.

010203040Qwen3 Coder Next: 3939QQwen3 Coder NextNemotron 3 Ultra: 3434NNemotron 3 UltraGLM-5.2 (max): 3333?GLM-5.2 (max)Kimi K2.6: 2525KKimi K2.6Mistral Medium 3.1: 1717MiMistral Medium 3.1MiniMax-M3: 1515?MiniMax-M3Grok 4.3 (high): 1313xGrok 4.3 (high)MiMo-V2-Flash: 1111?MiMo-V2-FlashMistral Large 3: 8.48.4MiMistral Large 3GPT-4.1 mini: 8.38.3AIGPT-4.1 mini

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.

0250k500k750k1MNemotron 3 Ultra: 3.63.6NNemotron 3 UltraMistral Medium 3.1: 2.42.4MiMistral Medium 3.1GPT-4.1 mini: 2.12.1AIGPT-4.1 miniMistral Large 3: 22MiMistral Large 3Qwen3 Coder Next: 1.91.9QQwen3 Coder NextLlama 3.3 70B: 1.91.9MLlama 3.3 70BMiniMax-M3: 1.61.6?MiniMax-M3Llama 4 Maverick: 1.51.5MLlama 4 MaverickDeepSeek V4 Pro (max): 1.31.3DDeepSeek V4 Pro (max)DeepSeek V3 (Dec): 1.31.3DDeepSeek V3 (Dec)Gemini 2.5 Flash-Lite: 0.510.51GGemini 2.5 Flash-Litecache Hitinputoutput

Time per Intelligence Index Task

Weighted average decode time (minutes) per task; excludes TTFT and overhead time · 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.

01234MiniMax-M3: 44?MiniMax-M3GPT-5.5 (xhigh): 33AIGPT-5.5 (xhigh)GLM-5.2 (max): 2.82.8?GLM-5.2 (max)Qwen3 Coder Next: 2.62.6QQwen3 Coder NextMinistral 3 8B: 2.52.5?Ministral 3 8BMinistral 3 14B: 2.22.2?Ministral 3 14BGemini 3.5 Flash: 2.22.2GGemini 3.5 Flashgpt-oss-120b (high): 1.91.9AIgpt-oss-120b (high)Grok 4.3 (high): 1.61.6xGrok 4.3 (high)Nemotron 3 Ultra: 1.41.4NNemotron 3 Ultra

Specifications

Technical Specifications

Gemini 2.5 Flash-Lite (Non-reasoning) scores 7 (estimated) on the Artificial Analysis Intelligence Index, placing it below average among other non-reasoning models in a similar price tier (median: 11). Gemini 2.5 Flash-Lite (Non-reasoning) generates output at 264.1 tokens per second (based on Google's API), which is well above average compared to other non-reasoning models in a similar price tier (median: 96.0 t/s). Gemini 2.5 Flash-Lite (Non-reasoning) costs $0.10 per 1M input tokens (very competitive, median: $0.20) and $0.40 per 1M output tokens (very competitive, median: $0.70), based on Google's API.

Gemini 2.5 Flash-Lite

Model type
Open weights
Reasoning
No
Input modalities
Gemini 2.5 Flash-Lite (Non-reasoning) supports text, image, speech, and video input.
Output modalities
Gemini 2.5 Flash-Lite (Non-reasoning) supports text output.
Context window
Gemini 2.5 Flash-Lite (Non-reasoning) 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 Flash-Lite (Non-reasoning) is proprietary. The model weights are not publicly available.
Parameters
Gemini 2.5 Flash-Lite (Non-reasoning) is a proprietary model and Google has not disclosed the model size or parameter count.
Knowledge cutoff
Gemini 2.5 Flash-Lite (Non-reasoning) has a knowledge cutoff of January 2025. The model's training data includes information up to this date.
API availability
Yes, Gemini 2.5 Flash-Lite (Non-reasoning) is available via API through 1 provider.

Methodology & Provenance

This page is rendered from the normalized profile and page JSON for Gemini 2.5 Flash-Lite.

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

Frequently Asked Questions