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Cost and performance comparison

Gemini 3.8 Flash vs Gemini 3.1 Flash-Lite

Model AGoogle

Gemini 3.8 Flash

Capability score (editorial)91/100
Cost / 1M Tokens
$1.65
70% in · 30% out mix
Value Index (score÷cost)
56.9
Higher = better value
Speed
95/100
Context
1.0M
Tier
Fast Tier

List price from the Google pricing page, verified October 12, 2026.

Introductory price until December 31, 2026; $1.50 / $7.50 from the day after.

Check the source

How we verify prices

Capability score (editorial)81/100
Cost / 1M Tokens
$0.63
70% in · 30% out mix
Value Index (score÷cost)
133.6
Higher = better value
Speed
98/100
Context
1.0M
Tier
Fast Tier

List price from the Google pricing page, verified October 12, 2026.

Check the source

How we verify prices

In-depth analysis

Gemini 3.8 Flash vs Gemini 3.1 Flash-Lite: Detailed Comparison

Gemini 3.8 Flash is Google's lightweight-tier language model with a 1.0M-token context window, excelling at vision/multimodal. Gemini 3.1 Flash-Lite from Google is a lightweight-tier model supporting 1.0M tokens in context, with standout performance in data extraction.

Gemini 3.8 Flash costs 2.6x what Gemini 3.1 Flash-Lite does for the same text. That is a steep premium, and it buys a 20-point lead on combined coding and reasoning. Whether that trade is worth it depends entirely on how much of your traffic actually needs the harder model — for most workloads the honest answer is a small fraction of it, which is an argument for routing rather than for picking one. Gemini 3.8 Flash is priced at $0.75/M input tokens and $3.75/M output tokens. Gemini 3.1 Flash-Lite costs $0.25/M input and $1.50/M output.

On iOPTERA's editorial scores, Gemini 3.8 Flash leads with 90/100 for coding and 91/100 for reasoning, against Gemini 3.1 Flash-Lite's 80/100 and 81/100.

Capability breakdown

Across the five core benchmark categories, here is how Gemini 3.8 Flash and Gemini 3.1 Flash-Lite stack up head to head:

coding
90
80
reasoning
91
81
data extraction
92
88
creative tasks
88
79
vision/multimodal
94
87

Best model by task

  • coding: Gemini 3.8 Flash wins with 90/100
  • reasoning: Gemini 3.8 Flash wins with 91/100
  • data extraction: Gemini 3.8 Flash wins with 92/100
  • creative tasks: Gemini 3.8 Flash wins with 88/100
  • vision/multimodal: Gemini 3.8 Flash wins with 94/100

Estimated monthly cost at scale

For 10M + 2M tokens of text a month (counted the way OpenAI's tokenizer counts), Gemini 3.8 Flash runs about $14.55 while Gemini 3.1 Flash-Lite runs about $5.34 — Gemini 3.1 Flash-Lite saves roughly $9.22 (63%) every month.

What actually decides it

Both models come from Google, so they share a tokenizer, an API surface, and a billing account. Switching between them is a model-string change and nothing else — no new SDK, no re-tokenizing your prompts to re-estimate cost, no second vendor to onboard. That makes routing between them far cheaper to implement than a cross-vendor split.

These are the same lab's model at the same tier, 4 months apart — so this is an upgrade question, not a choice between alternatives. Gemini 3.8 Flash is the current entry; Gemini 3.1 Flash-Lite is here because plenty of production traffic still runs on it. If you are starting something new there is little reason to pick the older one, and if you are already on it the question is whether the migration cost is worth the gain.

Context is effectively a tie: 1.0M against 1.0M. Neither model unlocks a document size the other cannot handle, so this axis should not enter the decision. If you were hoping context would break the tie for you, it will not.

Throughput is close enough to ignore — 98/100 versus 95/100. Neither model will feel noticeably quicker in an interactive product, so latency is not a reason to choose between them.

Gemini 3.8 Flash is 2.6x the price of Gemini 3.1 Flash-Lite. Reserve it for the requests that actually need it and route the rest to Gemini 3.1 Flash-Lite — that hybrid beats either model used alone on cost per useful answer.

What you actually pay

The list price is only the start. Prompt caching, batch processing and long prompts change the bill, and each provider sets them differently. Prices per 1M tokens.

Pricing terms beyond the list price, per 1M tokens
Pricing termGemini 3.8 FlashGemini 3.1 Flash-Lite
List price (input / output)$0.75 / $3.75$0.25 / $1.50
Cached input$0.07510% of the input price$0.02510% of the input price
Batch API50% off input and output50% off input and output
Long promptsNo surcharge across the 1.05M windowNo surcharge across the 1.05M window
Input with 80% cache hits$0.21$0.07

With 80% of input served from the cache, Gemini 3.1 Flash-Lite costs 67% less than Gemini 3.8 Flash for the same input text, counting each model's tokenizer.The tokenizer factor for Gemini 3.8 Flash, Gemini 3.1 Flash-Lite is our estimate until it is measured.

The last row assumes 80% of input tokens are read from the cache, as in a chat app that re-sends a long system prompt or RAG over the same documents. Cache-write and storage charges are not included.

Gemini also bills cache storage by the hour.

Checked on October 8, 2026 against the pricing pages of Google.

Capability scores

iOPTERA editorial scores across 5 categories — informed by public benchmarks, not measured by us

CategoryGemini 3.8Gemini 3.1Winner

Coding

90
80
A

Reasoning

91
81
A

Extraction

92
88
A

Creative

88
79
A

Vision

94
87
A
Gemini 3.8 Flash: 5 wins
Gemini 3.1 Flash-Lite: 0 wins
Gemini 3.8 Flash leads overall

Speed Score

95/100vs98/100
GeminiGemini

Context Window

1049Kvs1049K
GeminiGemini

What Is a Token?

Models don't read words — they process tokens.

A token is roughly 4 characters of English text (~¾ of a word). Your API bill is priced per million tokens — understanding this directly reduces your costs.

Short phrase

"Hello, world!"

4 tokens
Gemini 3.8 Flash
$0.29
Gemini 3.1 Flash-Lite
$0.10

Business email

One typical email (~200 words)

~270 tokens
Gemini 3.8 Flash
$19.64
Gemini 3.1 Flash-Lite
$6.55

Code file

50-line Python script

~400 tokens
Gemini 3.8 Flash
$29.10
Gemini 3.1 Flash-Lite
$9.70

Prices shown are for 100,000 runs of each workload — one run costs a fraction of a cent on both Gemini 3.8 Flash and Gemini 3.1 Flash-Lite, so the number only becomes meaningful at production volume. Input tokens only; add your output volume in the calculator below.

How to check your token usage

response.usage.total_tokens

Every API response includes a usage object. Sum total_tokens across all calls to get your monthly figure, then use the calculator below.

Your Cost Calculator

Enter your actual monthly token usage to see real savings

Quick Presets

30M tokens
Prompt 70%Completion 30%

Gemini 3.8 Flash

$48.02/mo

$576.18/yr

$0.75/M input$3.75/M output
Cheaper

Gemini 3.1 Flash-Lite

$18.19/mo

$218.25/yr

$0.25/M input$1.50/M output

Annual Savings

$357.93 saved per year

Gemini 3.1 Flash-Lite cheaper · $29.83/mo

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