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Cost and performance comparison

GPT-4o Mini vs Gemini 2.0 Flash

Model AOpenAI

GPT-4o Mini

Capability score (editorial)78/100
Cost / 1M Tokens
$0.29
70% in · 30% out mix
Value Index (score÷cost)
273.7
Higher = better value
Speed
97/100
Context
128K
Tier
Fast 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 Mini vs Gemini 2.0 Flash: Detailed Comparison

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

Gemini 2.0 Flash is both the cheaper and the stronger model here — for the same text it costs 36% less than GPT-4o Mini and still leads on combined coding and reasoning by 7 points. There is no tradeoff to weigh on this pair: unless you need something specific from GPT-4o Mini, the cheaper model is simply the better one. GPT-4o Mini is priced at $0.15/M input tokens and $0.60/M output tokens. Gemini 2.0 Flash costs $0.10/M input and $0.40/M output.

On iOPTERA's editorial scores, Gemini 2.0 Flash leads with 78/100 for coding and 81/100 for reasoning, against GPT-4o Mini's 74/100 and 78/100.

Capability breakdown

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

coding
74
78
reasoning
78
81
data extraction
95
92
creative tasks
83
80
vision/multimodal
80
88

Best model by task

  • coding: Gemini 2.0 Flash wins with 78/100
  • reasoning: Gemini 2.0 Flash wins with 81/100
  • data extraction: GPT-4o Mini wins with 95/100
  • creative tasks: GPT-4o Mini wins with 83/100
  • vision/multimodal: Gemini 2.0 Flash wins with 88/100

Estimated monthly cost at scale

For 10M + 2M tokens of text a month (counted the way OpenAI's tokenizer counts), GPT-4o Mini runs about $2.70 while Gemini 2.0 Flash runs about $1.73 — Gemini 2.0 Flash saves roughly $0.97 (36%) every month.

What actually decides it

GPT-4o Mini 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 Mini were released within 7 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 Mini, 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 97/100. 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 Mini 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.

Gemini 2.0 Flash wins this comparison outright — cheaper and stronger. Choose GPT-4o Mini only if it has a specific capability you need; on price and benchmarks it is behind on both.

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-4o MiniGemini 2.0 Flash
List price (input / output)$0.15 / $0.60$0.10 / $0.40
Cached input$0.07550% of the input price—
Batch API50% off input and output—
Long prompts——
Input with 80% cache hits$0.09—

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-4o MiniGemini 2.0Winner

Coding

74
78
B

Reasoning

78
81
B

Extraction

95
92
A

Creative

83
80
A

Vision

80
88
B
GPT-4o Mini: 2 wins
Gemini 2.0 Flash: 3 wins
Gemini 2.0 Flash leads overall

Speed Score

97/100vs99/100
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 Mini
$0.06
Gemini 2.0 Flash
$0.04

Business email

One typical email (~200 words)

~270 tokens
GPT-4o Mini
$4.05
Gemini 2.0 Flash
$2.59

Code file

50-line Python script

~400 tokens
GPT-4o Mini
$6.00
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 Mini 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 Mini

$8.55/mo

$102.60/yr

$0.15/M input$0.60/M output
Cheaper

Gemini 2.0 Flash

$5.47/mo

$65.66/yr

$0.10/M input$0.40/M output

Annual Savings

$36.94 saved per year

Gemini 2.0 Flash cheaper · $3.08/mo

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