Cost and performance comparison
GPT-4o vs GPT-4.1
Model AOpenAI
GPT-4o
- 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 sourceModel BOpenAI
GPT-4.1
- Cost / 1M Tokens
- $3.80
- 70% in · 30% out mix
- Value Index (score÷cost)
- 23.7
- Higher = better value
- Speed
- 88/100
- Context
- 1.0M
- Tier
- Smart Tier
List price from the OpenAI pricing page, verified September 30, 2026.
Check the sourceIn-depth analysis
GPT-4o vs GPT-4.1: Detailed Comparison
GPT-4o is OpenAI's mid-range-tier language model with a 128K-token context window, excelling at vision/multimodal. GPT-4.1 from OpenAI is a mid-range-tier model supporting 1.0M tokens in context, with standout performance in data extraction.
GPT-4.1 is both the cheaper and the stronger model here — for the same text it costs 20% less than GPT-4o and still leads on combined coding and reasoning by 2 points. There is no tradeoff to weigh on this pair: unless you need something specific from GPT-4o, the cheaper model is simply the better one. GPT-4o is priced at $2.50/M input tokens and $10.00/M output tokens. GPT-4.1 costs $2.00/M input and $8.00/M output.
On iOPTERA's editorial scores, GPT-4.1 leads with 89/100 for coding and 90/100 for reasoning, against GPT-4o's 87/100 and 90/100.
Capability breakdown
Across the five core benchmark categories, here is how GPT-4o and GPT-4.1 stack up head to head:
Best model by task
- coding: GPT-4.1 wins with 89/100
- 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 GPT-4.1 runs about $36.00 — GPT-4.1 saves roughly $9.00 (20%) every month.
What actually decides it
Both models come from OpenAI, 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, 11 months apart — so this is an upgrade question, not a choice between alternatives. GPT-4.1 is the current entry; GPT-4o 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.
The context gap is the largest single difference on this pair: GPT-4.1 takes 1.0M tokens against 128K for GPT-4o, roughly 8.2x. 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 — 90/100 versus 88/100. Neither model will feel noticeably quicker in an interactive product, so latency is not a reason to choose between them.
GPT-4.1 wins this comparison outright — cheaper and stronger. Choose GPT-4o 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 term | GPT-4o | GPT-4.1 |
|---|---|---|
| List price (input / output) | $2.50 / $10.00 | $2.00 / $8.00 |
| Cached input | $1.2550% of the input price | $0.5025% of the input price |
| Batch API | 50% off input and output | 50% off input and output |
| Long prompts | — | No surcharge across the 1.05M window |
| Input with 80% cache hits | $1.50 | $0.80 |
With 80% of input served from the cache, GPT-4.1 costs 47% less than GPT-4o for the same input text, counting each model's tokenizer.
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.
Checked on October 8, 2026 against the pricing pages of OpenAI.
Capability scores
iOPTERA editorial scores across 5 categories — informed by public benchmarks, not measured by us
Coding
Reasoning
Extraction
Creative
Vision
Speed Score
Context Window
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!"
- GPT-4o
- $1.00
- GPT-4.1
- $0.80
Business email
One typical email (~200 words)
- GPT-4o
- $67.50
- GPT-4.1
- $54.00
Code file
50-line Python script
- GPT-4o
- $100.00
- GPT-4.1
- $80.00
Prices shown are for 100,000 runs of each workload — one run costs a fraction of a cent on both GPT-4o and GPT-4.1, 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_tokensEvery 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
GPT-4o
$142.50/mo
$1,710.00/yr
GPT-4.1
$114.00/mo
$1,368.00/yr
Annual Savings
$342.00 saved per year
GPT-4.1 cheaper · $28.50/mo
Related Comparisons
Explore similar model pairs to find your best fit
GPT-4ovsGPT-6 Luna
$2.50 · $0.10/M input
GPT-4ovsGPT-5.6 Terra
$2.50 · $2.00/M input
GPT-4ovsClaude Sonnet
$2.50 · $2.00/M input
GPT-4ovsGrok 4.5
$2.50 · $2.00/M input
GPT-4ovsGPT-5.2
$2.50 · $1.75/M input
GPT-4ovsGemini 3.1
$2.50 · $2.00/M input
GPT-4.1vsGPT-6 Luna
$2.00 · $0.10/M input
GPT-4.1vsGPT-5.6 Terra
$2.00 · $2.00/M input