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Cost and performance comparison

GPT-4o vs Gemini 2.0 Flash

Model AOpenAI

GPT-4o

Capability score (editorial)90/100
Cost / 1M Tokens
$4.75
70% in · 30% out mix
Value Index (score÷cost)
18.9
Higher = better value
Speed
90/100
Context
128K
Tier
Smart Tier

List price from the OpenAI pricing page, verified September 30, 2026.

Check the source

How we verify prices

Model BGoogle

Gemini 2.0 Flash

Capability score (editorial)81/100
Cost / 1M Tokens
$0.19
70% in · 30% out mix
Value Index (score÷cost)
444.1
Higher = better value
Speed
99/100
Context
1.0M
Tier
Fast Tier

Last list price before the model was retired.

How we verify prices

In-depth analysis

GPT-4o vs Gemini 2.0 Flash: Detailed Comparison

GPT-4o is OpenAI's mid-range-tier language model with a 128K-token context window, excelling at vision/multimodal. Gemini 2.0 Flash from Google is a lightweight-tier model supporting 1.0M tokens in context, with standout performance in data extraction.

GPT-4o costs 26.0x what Gemini 2.0 Flash does for the same text. That is a steep premium, and it buys a 18-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. GPT-4o is priced at $2.50/M input tokens and $10.00/M output tokens. Gemini 2.0 Flash costs $0.10/M input and $0.40/M output.

On iOPTERA's editorial scores, GPT-4o leads with 87/100 for coding and 90/100 for reasoning, against Gemini 2.0 Flash's 78/100 and 81/100.

Capability breakdown

Across the five core benchmark categories, here is how GPT-4o and Gemini 2.0 Flash stack up head to head:

coding
87
78
reasoning
90
81
data extraction
92
92
creative tasks
92
80
vision/multimodal
95
88

Best model by task

  • coding: GPT-4o wins with 87/100
  • reasoning: GPT-4o wins with 90/100
  • creative tasks: GPT-4o wins with 92/100
  • vision/multimodal: GPT-4o wins with 95/100

Estimated monthly cost at scale

For 10M + 2M tokens of text a month (counted the way OpenAI's tokenizer counts), GPT-4o runs about $45.00 while Gemini 2.0 Flash runs about $1.73 — Gemini 2.0 Flash saves roughly $43.27 (96%) every month.

What actually decides it

GPT-4o and Gemini 2.0 Flash come from different labs, which means different tokenizers, different API shapes, and a second vendor relationship. The same English text does not produce the same token count on both, so a price-per-million comparison understates the difference — measure your own prompts on each before treating the headline rates as the full story.

Gemini 2.0 Flash and GPT-4o were released within 9 months of each other, so they are competing on the same evaluations under roughly the same conditions. That makes a direct benchmark comparison meaningful here in a way it usually is not — neither model has the advantage of being measured on a newer, easier set of tests.

The context gap is the largest single difference on this pair: Gemini 2.0 Flash takes 1.0M tokens against 128K for GPT-4o, roughly 7.8x. That is the difference between feeding in a whole repository or a full contract set and having to chunk it. If your work involves documents you cannot split cleanly, this decides it on its own.

Throughput is close enough to ignore — 99/100 versus 90/100. Neither model will feel noticeably quicker in an interactive product, so latency is not a reason to choose between them.

One practical asymmetry: GPT-4o offers a batch API at 50% off standard rates, and Gemini 2.0 Flash does not. For anything that does not need an answer immediately — nightly enrichment, backfills, evaluation runs — that discount can be worth more than the difference in list price, and it is easy to overlook when comparing headline rates.

GPT-4o is 26.0x the price of Gemini 2.0 Flash. Reserve it for the requests that actually need it and route the rest to Gemini 2.0 Flash — 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 termGPT-4oGemini 2.0 Flash
List price (input / output)$2.50 / $10.00$0.10 / $0.40
Cached input$1.2550% of the input price—
Batch API50% off input and output—
Long prompts——
Input with 80% cache hits$1.50—

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 OpenAI, Google.

Capability scores

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

CategoryGPT-4oGemini 2.0Winner

Coding

87
78
A

Reasoning

90
81
A

Extraction

92
92
Tied

Creative

92
80
A

Vision

95
88
A
GPT-4o: 4 wins
Gemini 2.0 Flash: 0 wins
GPT-4o leads overall

Speed Score

90/100vs99/100
GPT-4oGemini

Context Window

128Kvs1000K
GPT-4oGemini

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
GPT-4o
$1.00
Gemini 2.0 Flash
$0.04

Business email

One typical email (~200 words)

~270 tokens
GPT-4o
$67.50
Gemini 2.0 Flash
$2.59

Code file

50-line Python script

~400 tokens
GPT-4o
$100.00
Gemini 2.0 Flash
$3.84

Prices shown are for 100,000 runs of each workload — one run costs a fraction of a cent on both GPT-4o and Gemini 2.0 Flash, 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%

GPT-4o

$142.50/mo

$1,710.00/yr

$2.50/M input$10.00/M output
Cheaper

Gemini 2.0 Flash

$5.47/mo

$65.66/yr

$0.10/M input$0.40/M output

Annual Savings

$1,644.34 saved per year

Gemini 2.0 Flash cheaper · $137.03/mo

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