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Google•Open weights•May 20, 2025

Gemini 2.5 Flash

Intelligence, Performance & Price Analysis

Source:Artificial Analysis scrapeType:Open weights
Intelligence
20

score

Gemini 2.5 Flash (Reasoning) scores 20 (estimated) on the Artificial Analysis Intelligence Index, …

vs class avg: 15

Speed
226.5

output tokens/sec

Gemini 2.5 Flash (Reasoning) generates output at 226.5 tokens per second (based on Google's API), …

Latency
11.97s

TTFT

Gemini 2.5 Flash (Reasoning) has a time to first token (TTFT) of 11. …

Input Price
$0.30

/ 1M tokens

Gemini 2.5 Flash (Reasoning) costs $0.30 per 1M input tokens (somewhat higher than average, median: …

Output Price
$2.50

/ 1M tokens

Gemini 2.5 Flash (Reasoning) costs $0.30 per 1M input tokens (somewhat higher than average, median: …

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
  • Low-latency chat

Weak or unsuitable

  • Extremely long-context tasks
  • Ultra-low-latency requirements
  • Predictable high-volume throughput

Routing recommendation

1

Cheaper routes for predictable extraction, labeling, or summarization

2

Cache-backed reuse for repeated prompts

Cost pressure

Moderate pricing — $0.30 / M input, $2.50 / M output. Costs are manageable, but volume should still be reviewed.

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 20 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%.
High-volume chat & customer-facingExcellentOutput speed 226.5 tokens/sec and capable intelligence make this suitable for real-time chat at scale.Ideal for interactive chat; enable caching for repeated queries.
Latency-sensitive applicationsModerateTTFT 11.97s — latency may be noticeable in interactive use.Consider routing latency-critical paths to faster models.
Cost-sensitive pipelinesModerateOutput pricing at $2.50 is premium. Route high-volume simple tasks to cheaper alternatives.Use only for high-value tasks; route simple queries to budget models.

Cost pressure

Medium

Pricing is moderate — input $0.30, output $2.50. Costs accumulate at volume but are manageable for valuable tasks.

Cheaper substitutes

  • Cheaper routes for predictable extraction, labeling, or summarization

Route away when

  • Predictable high-volume throughput
  • Non-critical classification and extraction

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 (Reasoning) scores 20 (estimated) on the Artificial Analysis Intelligence Index, placing it above average among other reasoning models in a similar price tier (median: 15).

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: 2020GGemini 2.5 Flash

Speed

Speed position

Open section

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

Gemini 2.5 Flash (Reasoning) generates output at 226.5 tokens per second (based on Google's API), which is well above average compared to other reasoning models in a similar price tier (median: 99.1 t/s).

0113225338450Step 3.7 Flash: 410410?Step 3.7 FlashNVIDIA Nemotron 3 Super: 356356NNVIDIA Nemotron 3 SuperGemini 3.1 Flash-Lite: 339339GGemini 3.1 Flash-Litegpt-oss-120b (high): 316316AIgpt-oss-120b (high)Nemotron 3 Ultra: 248248NNemotron 3 UltraGemini 2.5 Flash: 226226GGemini 2.5 FlashGLM-5.2 (max): 216216?GLM-5.2 (max)Gemini 3.5 Flash: 192192GGemini 3.5 FlashQwen3.6 35B A3B: 166166QQwen3.6 35B A3BGrok 4.3 (high): 164164xGrok 4.3 (high)GPT-5.4 nano (xhigh): 152152AIGPT-5.4 nano (xhigh)Ring-2.6-1T: 136136?Ring-2.6-1T

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 moderate — input $0.30, output $2.50. Costs accumulate at volume but are manageable for valuable tasks.

$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.

-40-200204060Claude 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)MiMo-V2.5-Pro: 3.63.6?MiMo-V2.5-ProQwen3.7 Plus: 2.42.4QQwen3.7 PlusMiniMax-M3: 1.41.4?MiniMax-M3Gemini 2.5 Flash: -27.9-27.9GGemini 2.5 Flash

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 SparkMiMo-V2.5-Pro: 4242?MiMo-V2.5-ProNex-N2-Pro: 4141?Nex-N2-Pro

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 SparkMiMo-V2.5-Pro: 4242?MiMo-V2.5-ProNex-N2-Pro: 4141?Nex-N2-Pro

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: 2020GGemini 2.5 Flash

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.

0113225338450Step 3.7 Flash: 410410?Step 3.7 FlashNVIDIA Nemotron 3 Super: 356356NNVIDIA Nemotron 3 SuperGemini 3.1 Flash-Lite: 339339GGemini 3.1 Flash-Litegpt-oss-120b (high): 316316AIgpt-oss-120b (high)Nemotron 3 Ultra: 248248NNemotron 3 UltraGemini 2.5 Flash: 226226GGemini 2.5 FlashGLM-5.2 (max): 216216?GLM-5.2 (max)Gemini 3.5 Flash: 192192GGemini 3.5 FlashQwen3.6 35B A3B: 166166QQwen3.6 35B A3BGrok 4.3 (high): 164164xGrok 4.3 (high)

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 UltraGemini 2.5 Flash: 226226GGemini 2.5 FlashGLM-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.

0s15s30s45s60sGLM-4.6: 10s10s?GLM-4.6Qwen3.7 Plus: 9.9s9.9sQQwen3.7 PlusMiniMax-M2.7: 9.8s9.8s?MiniMax-M2.7MiMo-V2.5-Pro: 9.5s9.5s?MiMo-V2.5-ProNex-N2-Pro: 5.4s5.4s?Nex-N2-ProMiniMax-M3: 5.2s5.2s?MiniMax-M3DeepSeek V4 Flash (max): 4.4s4.4sDDeepSeek V4 Flash (max)GLM-4.7: 3.8s3.8s?GLM-4.7Ring-2.6-1T: 3.7s3.7s?Ring-2.6-1TGPT-5.4 nano (xhigh): 3.3s3.3sAIGPT-5.4 nano (xhigh)Gemini 2.5 Flash: 2.2s2.2sGGemini 2.5 Flash

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.

0s15s30s45s60sDeepSeek V4 Flash (max): 50s50sDDeepSeek V4 Flash (max)MiniMax-M2.7: 48s48s?MiniMax-M2.7GLM-4.6: 41s41s?GLM-4.6Qwen3.7 Plus: 39s39sQQwen3.7 PlusMiMo-V2.5-Pro: 38s38s?MiMo-V2.5-ProQwen3.6 35B A3B: 33s33sQQwen3.6 35B A3BNex-N2-Pro: 22s22s?Nex-N2-ProMiniMax-M3: 21s21s?MiniMax-M3GLM-4.7: 15s15s?GLM-4.7Ring-2.6-1T: 15s15s?Ring-2.6-1TGemini 2.5 Flash: 0s0sGGemini 2.5 Flash

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.

0250k500k750k1MGemini 2.5 Flash: 1M1MGGemini 2.5 FlashGemini 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-M3MiMo-V2.5-Pro: 1M1M?MiMo-V2.5-ProDeepSeek V4 Flash (max): 1M1MDDeepSeek V4 Flash (max)Qwen3.7 Plus: 1M1MQQwen3.7 Plus

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.

00.51GPT-5.5 (xhigh): 0.10.1AIGPT-5.5 (xhigh)Gemini 3.5 Flash: 0.10.1GGemini 3.5 FlashGLM-5.2 (max): 00?GLM-5.2 (max)Ring-2.6-1T: 00?Ring-2.6-1TKimi K2.6: 00KKimi K2.6Qwen3.6 35B A3B: 00QQwen3.6 35B A3BNemotron 3 Ultra: 00NNemotron 3 UltraGLM-4.7: 00?GLM-4.7GLM-4.6: 00?GLM-4.6MiniMax-M3: 00?MiniMax-M3

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.

050100150200Qwen3.6 35B A3B: 165165QQwen3.6 35B A3BGPT-5.5 (xhigh): 132132AIGPT-5.5 (xhigh)Gemini 3.5 Flash: 114114GGemini 3.5 FlashNemotron 3 Ultra: 3434NNemotron 3 UltraGLM-5.2 (max): 3333?GLM-5.2 (max)Kimi K2.6: 2525KKimi K2.6Ring-2.6-1T: 2424?Ring-2.6-1TGLM-4.7: 1717?GLM-4.7GLM-4.6: 1616?GLM-4.6MiniMax-M3: 1515?MiniMax-M3

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 UltraGLM-4.7: 3.33.3?GLM-4.7Nex-N2-Pro: 3.33.3?Nex-N2-ProGemini 2.5 Flash: 2.82.8GGemini 2.5 FlashRing-2.6-1T: 2.82.8?Ring-2.6-1TGLM-4.6: 2.82.8?GLM-4.6GPT-5 mini (high): 2.32.3AIGPT-5 mini (high)Gemini 3.1 Flash-Lite: 1.81.8GGemini 3.1 Flash-LiteQwen3.6 35B A3B: 1.71.7QQwen3.6 35B A3BQwen3.7 Plus: 1.61.6QQwen3.7 Pluscache 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.

02468MiMo-V2.5-Pro: 6.16.1?MiMo-V2.5-ProGLM-4.6: 5.95.9?GLM-4.6DeepSeek V4 Flash (max): 5.85.8DDeepSeek V4 Flash (max)MiniMax-M2.7: 5.55.5?MiniMax-M2.7Nex-N2-Pro: 4.84.8?Nex-N2-ProClaude Fable 5 (with fallback): 4.84.8AClaude Fable 5 (with fal…MiniMax-M3: 44?MiniMax-M3GPT-5.5 (xhigh): 33AIGPT-5.5 (xhigh)Ring-2.6-1T: 2.92.9?Ring-2.6-1TGLM-5.2 (max): 2.82.8?GLM-5.2 (max)

Specifications

Technical Specifications

Gemini 2.5 Flash (Reasoning) scores 20 (estimated) on the Artificial Analysis Intelligence Index, placing it above average among other reasoning models in a similar price tier (median: 15). Gemini 2.5 Flash (Reasoning) generates output at 226.5 tokens per second (based on Google's API), which is well above average compared to other reasoning models in a similar price tier (median: 99.1 t/s). Gemini 2.5 Flash (Reasoning) costs $0.30 per 1M input tokens (somewhat higher than average, median: $0.25) and $2.50 per 1M output tokens (at the higher end, median: $0.87), based on Google's API.

Gemini 2.5 Flash

Model type
Open weights
Reasoning
Yes
Input modalities
Gemini 2.5 Flash (Reasoning) supports text, image, speech, and video input.
Output modalities
Gemini 2.5 Flash (Reasoning) supports text output.
Context window
Gemini 2.5 Flash (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 (Reasoning) is proprietary. The model weights are not publicly available.
Parameters
Gemini 2.5 Flash (Reasoning) is a proprietary model and Google has not disclosed the model size or parameter count.
Knowledge cutoff
Gemini 2.5 Flash (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 (Reasoning) is available via API through 2 providers.

Methodology & Provenance

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

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

Frequently Asked Questions