Gemini · Fast / Budget · 1.0M context window

Gemini 3 Flash pricing for chain of thought

$0.0165 per call at 3,000 input / 5,000 output tokens.

Per call

$0.0165

10K calls/mo

$165

Cache savings

90% off input

Batch savings

50% off all

Calculate your Gemini 3 Flash costs

Adjust token counts, volume, and discount toggles to model your chain of thought spend. Prices verified daily against provider pricing pages.

Configure your usage

3,000
100100K
5,000
5050K
10,000
1001M

Estimated cost

Monthly cost
$165
10,000 calls/month
Cost per call$0.0165
Daily cost$6
Input rate$0.50/MTok
Output rate$3.00/MTok
Analyze your real spend

Quick start

Call Gemini 3 Flash with the Google Generative AI SDK:

import google.generativeai as genai

model = genai.GenerativeModel("gemini-3-flash")
response = model.generate_content("Your prompt here")
# Cost: ~$0.0165 per call at standard rates
# Input:  $0.50/MTok
# Output: $3.00/MTok

What drives chain of thought cost

Reasoning tasks invert the usual ratio: the model produces far more tokens than it consumes, because the intermediate steps are the work. Output pricing dominates completely, and models that reason at length cost more than their headline rate suggests. Comparing reasoning models on input price is actively misleading; compare them on output.

For Gemini 3 Flash specifically, that means output tokens cost 6.0x more than input, at $3.00 vs $0.50 per MTok. At this use case’s 3,000/5,000 token split, output accounts for 91% of the $0.0165 per-call cost.

Complete Gemini 3 Flash pricing breakdown

Standard token rates

Direction$/MTokTokens per call
Input$0.503,000
Output$3.005,000

Prompt caching: 90% off input tokens

Caching drops input cost from $0.50 to $0.05/MTok. For repeated system prompts, that saves $0.001350 per call.

Batch API: 50% off all tokens

Submit requests asynchronously and receive 50% off all token costs. This works best for offline pipelines where latency requirements are flexible.

Monthly cost projections

Monthly volumeCost per callStandard monthlyCached monthlyYou save with caching
10,000 calls$0.0165$165$151.5$13.5
50,000 calls$0.0165$825$757.5$67.5
100,000 calls$0.0165$1,650$1,515$135
500,000 calls$0.0165$8,250$7,575$675
1,000,000 calls$0.0165$16,500$15,150$1,350

Gemini 3 Flash quality benchmarks for chain of thought

Consider alternatives for chain of thought

Scores 58/100 (rank #7 of 88). Better options exist at similar price points for chain of thought.

Top-ranked: GPT 6 Astra (93/100) at $0.2800/call

Performance across all task types

Gemini 3 Flash scores by task type. Chain of Thought highlighted.

Classification88Extraction86Summarization83Q&A82Code Generation65Code Review62Reasoning *58Creative Writing52
Task typeConfidence scoreRank out of 88
Classification88/100#3
Extraction86/100#3
Summarization83/100#5
Q&A82/100#5
Code Generation65/100#7
Code Review62/100#7
Reasoning(current page)58/100#7
Creative Writing52/100#8

Confidence scores are a third-party benchmark snapshot from week 26 of 2026. This snapshot is 17 weeks old, so treat the scores as directional and validate against your own evals.

Alternative models for chain of thought

22 models score 80+ on chain of thought benchmarks, sorted by input rate. Cheapest: GPT 5.6 Luna (60% less, 86/100 quality).

ModelProviderInput $/MTokOutput $/MTokQualityPer callvs Gemini
GPT 5.6 LunaGPT$0.20$1.2086/100$0.00660060% cheaper
Gemini 3.6 FlashGemini$0.75$3.7585/100$0.021027% more
Gemini 3.7 FlashGemini$0.75$3.7588/100$0.021027% more
Gemini 3.8 FlashGemini$0.75$3.7589/100$0.021027% more
Claude Sonnet 5Claude$2.00$10.0089/100$0.0560239% more
GPT 5.6 TerraGPT$2.00$12.0091/100$0.0660300% more
GPT 6 SolGPT$2.00$10.0089/100$0.0560239% more
Gemini 3.1 ProGemini$2.00$12.0084/100$0.0660300% more
Grok 4.6Grok$2.00$6.0091/100$0.0360118% more
Grok 4.5Grok$2.00$6.0087/100$0.0360118% more
GPT 5.4GPT$2.50$15.0088/100$0.0825400% more
Claude Sonnet 4.6Claude$3.00$15.0085/100$0.0840409% more
Claude Opus 5.5Claude$4.00$20.0092/100$0.1120579% more
GPT 5.6 SolGPT$4.00$20.0092/100$0.1120579% more
Claude Opus 4.8Claude$5.00$25.0089/100$0.1400748% more
Claude Opus 5Claude$5.00$25.0091/100$0.1400748% more
Claude Opus 4.7Claude$5.00$25.0087/100$0.1400748% more
Claude Opus 4.6Claude$5.00$25.0089/100$0.1400748% more
GPT 5.5GPT$5.00$30.0090/100$0.1650900% more
Claude Fable 5.1Claude$10.00$50.0092/100$0.28001597% more
Claude Fable 5Claude$10.00$50.0090/100$0.28001597% more
GPT 6 AstraGPT$10.00$50.0093/100$0.28001597% more

About Gemini 3 Flash

Provider

Gemini

Tier

Fast / Budget

Context

1.0M tokens

Released

Mar 2026

Other models from Gemini

ModelTierInput $/MTokOutput $/MTokContext
Gemini 3.1 ProMid-tier$2.00$12.001.0M
Gemini 3.5 FlashFast / Budget$1.50$9.001.0M
Gemini 3.5 Flash-LiteFast / Budget$0.30$2.501.0M
Gemini 2.5 Computer UseFast / Budget$1.25$10.00128K
Gemini 2.5 FlashFast / Budget$0.30$2.501.0M
Gemini 2.5 Flash-LiteFast / Budget$0.10$0.401.0M
Gemini 2.5 ProMid-tier$1.25$10.001.0M
Gemini 3.1 Flash-LiteFast / Budget$0.25$1.501.0M
Gemini 3.1 Pro Custom ToolsMid-tier$2.00$12.001.0M
Gemini 3.6 FlashFast / Budget$0.75$3.751.0M
Gemini 3.7 FlashFast / Budget$0.75$3.751.0M
Gemini 3.8 FlashFast / Budget$0.75$3.751.0M
Gemini Omni 1.1 FlashFast / Budget$1.50$9.001.0M
Gemini Omni FlashFast / Budget$1.50$9.001.0M
Gemini Robotics ER 2Fast / Budget$1.00$5.00131K

You can compare Gemini 3 Flash head-to-head against any other model on our model comparison pages, or track how pricing has changed over time on the pricing history tracker.

Frequently asked questions

How much does Gemini 3 Flash cost for chain of thought per API call?

A typical chain of thought call using Gemini 3 Flash costs about $0.0165 per call. This estimate uses 3,000 input tokens and 5,000 output tokens at standard rates. Standard rates are $0.50 per million input tokens and $3.00 per million output tokens.

Is Gemini 3 Flash the best model for chain of thought?

Gemini 3 Flash scores 58 out of 100 on chain of thought benchmarks overall. It ranks #7 across all 88 models in our cross-provider registry. The highest-ranked model for this task is GPT 6 Astra from GPT. That model scores 93/100 on this task type. Confidence scores are a third-party benchmark snapshot from week 26 of 2026. This snapshot is 17 weeks old, so treat the scores as directional and validate against your own evals.

What is the cheapest model for chain of thought with good quality?

The most affordable model for chain of thought above 80/100 quality is GPT 5.6 Luna. It comes from GPT at $0.20 per million input tokens. Output costs $1.20 per million tokens with a quality score of 86/100. Switching from Gemini 3 Flash to GPT 5.6 Luna saves about 60% per API call.

How can I reduce my Gemini 3 Flash costs for chain of thought?

Three strategies lower Gemini 3 Flash costs for this task type effectively. Prompt caching gives a 90% discount on input tokens when reusing system prompts. The batch API gives 50% off all tokens for asynchronous processing workloads. Prompt optimization reduces token counts through more concise instructions and context windows. Combining caching with batching brings your cost from $0.0165 to about $0.000825 per call.

How does Gemini 3 Flash pricing compare to other Gemini models?

Gemini has 15 other models alongside Gemini 3 Flash today: Gemini 3.1 Pro at $2.00/$12.00 per million tokens (mid-tier), Gemini 3.5 Flash at $1.50/$9.00 per million tokens (fast / budget), Gemini 3.5 Flash-Lite at $0.30/$2.50 per million tokens (fast / budget), Gemini 2.5 Computer Use at $1.25/$10.00 per million tokens (fast / budget), Gemini 2.5 Flash at $0.30/$2.50 per million tokens (fast / budget), Gemini 2.5 Flash-Lite at $0.10/$0.40 per million tokens (fast / budget), Gemini 2.5 Pro at $1.25/$10.00 per million tokens (mid-tier), Gemini 3.1 Flash-Lite at $0.25/$1.50 per million tokens (fast / budget), Gemini 3.1 Pro Custom Tools at $2.00/$12.00 per million tokens (mid-tier), Gemini 3.6 Flash at $0.75/$3.75 per million tokens (fast / budget), Gemini 3.7 Flash at $0.75/$3.75 per million tokens (fast / budget), Gemini 3.8 Flash at $0.75/$3.75 per million tokens (fast / budget), Gemini Omni 1.1 Flash at $1.50/$9.00 per million tokens (fast / budget), Gemini Omni Flash at $1.50/$9.00 per million tokens (fast / budget), Gemini Robotics ER 2 at $1.00/$5.00 per million tokens (fast / budget). The right choice depends on whether your chain of thought workload prioritizes quality, cost, or speed.

What context window does Gemini 3 Flash support?

Gemini 3 Flash supports a context window of 1.0M tokens per API call. This sets the maximum combined length of your input prompt and generated response. For chain of thought, typical calls use 3,000 input and 5,000 output tokens. That is well within this limit, leaving room for longer prompts or multi-turn conversations.

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