Gemini 3.8 Flash vs GPT-5.4 Nano

GPT-5.4 Nano undercuts Gemini 3.8 Flash right across the rate card: $0.20 against $0.75 per 1M for input, $1.25 against $3.75 for output, 73% and 67% less. A single chat turn costs a fraction of a cent on both, so this only becomes real money at volume: a thousand long documents costs $83.75 against $311.25.

Gemini 3.8 Flash costs 3.2 times as much as GPT-5.4 Nano, and what that buys is 20.2 points of overall intelligence (Intelligence Index): 40.9 (high) against 20.7 (xhigh). Unless you genuinely need that lead, take GPT-5.4 Nano: Gemini 3.8 Flash is 3.2 times the price.

Standard pay-as-you-go prices, as of 10 Sep 2026. Last updated 27 Sep 2026.

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Cheaper overall

GPT-5.4 Nano

69% lower blended rate

Higher benchmark scores

Gemini 3.8 Flash

leads on 10 of 11 figures

Bigger context window

Gemini 3.8 Flash

1,048,576 vs 400,000 tokens

Cheaper cached input

GPT-5.4 Nano

$0.02 vs $0.075, 73% less

Where each one wins

Gemini 3.8 Flash

  • Larger context window 1,048,576 tokens
  • Higher overall intelligence (Intelligence Index) 40.9 vs 20.7
  • Higher coding ability (Coding Index) 76.3 vs 56.1
  • Higher multi-step tool use (Agentic Index) 40.2 vs 16
  • Ahead on 7 more benchmark figures

GPT-5.4 Nano

  • Cheaper input tokens $0.20 vs $0.75, 73% less
  • Cheaper output tokens $1.25 vs $3.75, 67% less
  • Cheaper cached input $0.02 vs $0.075, 73% less
  • Cheaper on all four workloads
  • Longer maximum output 128,000 tokens
  • Higher answer reliability (Omniscience Non-Hallucination) 48.9 vs 44.8
  • Offers Batch and Flex pricing not listed for Gemini 3.8 Flash

What four workloads cost

One run, and the same run a thousand times.

GPT-5.4 Nano is cheaper on all four workloads, by much the same margin each time โ€” about 3.4 times, from $0.0008 against $0.0026 on a chat turn to $0.0838 against $0.3113 on a long document.

Workload Gemini 3.8 Flash GPT-5.4 Nano ร—1,000 Difference
Chat turn 1,000 in / 500 out $0.0026 $0.0008 $2.63 / $0.8250 GPT-5.4 Nano is 69% cheaper
RAG answer 10,000 in / 800 out $0.0105 $0.0030 $10.50 / $3.00 GPT-5.4 Nano is 71% cheaper
Agent loop 32,000 in / 700 out ร— 20 calls $0.1275 $0.0375 $127.50 / $37.50 GPT-5.4 Nano is 71% cheaper
Long document 400,000 in / 3,000 out $0.3113 $0.0838 $311.25 / $83.75 GPT-5.4 Nano is 73% cheaper

Price your own token counts for these two โ†’

Price per 1M tokens

Above 272,000 input tokens the rates change, and the new rate applies to the whole request, not just the tokens past that point. It does not change which of the two is cheaper.

Context band Price Gemini 3.8 Flash GPT-5.4 Nano Difference
Prompts up to 272,000 tokens Input $0.75 $0.20 GPT-5.4 Nano is 73% cheaper
Prompts up to 272,000 tokens Cached input $0.075 $0.02 GPT-5.4 Nano is 73% cheaper
Prompts up to 272,000 tokens Output $3.75 $1.25 GPT-5.4 Nano is 67% cheaper
Prompts over 272,000 tokens Input $0.75 $0.20 GPT-5.4 Nano is 73% cheaper
Prompts over 272,000 tokens Cached input $0.075 $0.02 GPT-5.4 Nano is 73% cheaper
Prompts over 272,000 tokens Output $3.75 $1.25 GPT-5.4 Nano is 67% cheaper

Blended: Gemini 3.8 Flash $1.50, GPT-5.4 Nano $0.4625 per 1M โ€” one rate at 3:1 input to output, for comparing two models at a glance.

Gemini 3.8 Flash priced by Perplexity, GPT-5.4 Nano by OpenAI. Standard tier, pay-as-you-go.

Other pricing tiers

Only GPT-5.4 Nano lists Batch and Flex, at up to 50% off its own standard rate; Gemini 3.8 Flash offers none of them.

Every tier either model sells is here, so this is the whole price sheet. A saving is measured against that model's own standard rate โ€” how we read tiers.

Tier Gemini 3.8 Flash GPT-5.4 Nano Cheaper
Batch only on GPT-5.4 Nano Not offered $0.10 in / $0.625 out 50% off Standard —
Flex only on GPT-5.4 Nano Not offered $0.10 in / $0.625 out 50% off Standard —

Benchmarks

They share 11 figures: Gemini 3.8 Flash leads on 10, GPT-5.4 Nano on 1. The widest gap is 28.9 points, on factual accuracy (Omniscience Accuracy).

Overall intelligence

Intelligence Index โ€” Overall intelligence across reasoning, knowledge & math evals

Gemini 3.8 Flash 40.9
GPT-5.4 Nano 20.7

Gemini 3.8 Flash ahead by 20.2

Coding ability

Coding Index โ€” Coding ability across software-engineering evals

Gemini 3.8 Flash 76.3
GPT-5.4 Nano 56.1

Gemini 3.8 Flash ahead by 20.2

Multi-step tool use

Agentic Index โ€” Tool use & multi-step agent task performance

Gemini 3.8 Flash 40.2
GPT-5.4 Nano 16

Gemini 3.8 Flash ahead by 24.2

Graduate-level science

GPQA Diamond โ€” Graduate-level questions in biology, chemistry & physics

Gemini 3.8 Flash 95.3
GPT-5.4 Nano 81.7

Gemini 3.8 Flash ahead by 13.6

Expert-exam performance

Humanity's Last Exam โ€” Expert-level questions across many academic domains

Gemini 3.8 Flash 47.8
GPT-5.4 Nano 28.3

Gemini 3.8 Flash ahead by 19.5

Long-context reasoning

AA-LCR โ€” Long-context reasoning across large inputs

Gemini 3.8 Flash 81.3
GPT-5.4 Nano 76.7

Gemini 3.8 Flash ahead by 4.6

Scientific coding

SciCode โ€” Research-level scientific coding tasks

Gemini 3.8 Flash 56.6
GPT-5.4 Nano 47.2

Gemini 3.8 Flash ahead by 9.4

Physics research reasoning

CritPt โ€” Unpublished physics research reasoning problems

Gemini 3.8 Flash 18.3
GPT-5.4 Nano 9.3

Gemini 3.8 Flash ahead by 9

Real-world task performance

GDPval โ€” Economically valuable, real-world knowledge work

Gemini 3.8 Flash 45.6
GPT-5.4 Nano 21.8

Gemini 3.8 Flash ahead by 23.8

Factual accuracy

Omniscience Accuracy โ€” Breadth of factual knowledge across domains

Gemini 3.8 Flash 54.6
GPT-5.4 Nano 25.7

Gemini 3.8 Flash ahead by 28.9

Answer reliability

Omniscience Non-Hallucination โ€” How reliably the model avoids fabricated answers

Gemini 3.8 Flash 44.8
GPT-5.4 Nano 48.9

GPT-5.4 Nano ahead by 4.1

Each figure is that model's best published run, with the effort level named beside it โ€” where these scores come from.

Specifications

Gemini 3.8 Flash holds 648,576 more input tokens in one request. Gemini 3.8 Flash also takes audio and video.

Specification Gemini 3.8 Flash GPT-5.4 Nano
Context window 1,048,576 tokens 400,000 tokens
Max output 65,536 tokens 128,000 tokens
Takes in Text, audio, image, video, file Text, image, file
Puts out Text Text
Knowledge cutoff โ€” 31 Aug 2025
Released 2 Sep 2026 17 Mar 2026
Status Active Active
Sold by Perplexity OpenAI, Perplexity

FAQs

Is Gemini 3.8 Flash cheaper than GPT-5.4 Nano?
No โ€” the other way round. A 1,000-token prompt with a 500-token reply costs $0.0026 on Gemini 3.8 Flash and $0.0008 on GPT-5.4 Nano, and the same model is cheaper on every workload on this page.
How much do Gemini 3.8 Flash and GPT-5.4 Nano cost per 1M tokens?
Gemini 3.8 Flash costs $0.75 for input and $3.75 for output. GPT-5.4 Nano costs $0.20 and $1.25. Standard pay-as-you-go rates, as of 10 Sep 2026.
Which is better, Gemini 3.8 Flash or GPT-5.4 Nano?
On published benchmarks, Gemini 3.8 Flash. It leads on 10 of the 11 figures both models report, including overall intelligence (Intelligence Index), where it scores 40.9 against 20.7.
Does Gemini 3.8 Flash or GPT-5.4 Nano offer batch pricing?
GPT-5.4 Nano only. Its batch input costs $0.10, 50% off its standard rate, and Gemini 3.8 Flash lists no batch tier at all.
Does Gemini 3.8 Flash or GPT-5.4 Nano have a bigger context window?
Gemini 3.8 Flash, at 1,048,576 tokens against 400,000. That is 648,576 more input tokens in a single request.

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