Which is more cost-effective, GPT-4o or DeepSeek V3?

Based on 1M input + 1M output tokens, GPT-4o costs $12.50/month versus DeepSeek V3 at $1.37/month. The cheaper option depends on your token volume and prompt-to-completion ratio. Use the interactive calculator on this page to enter your exact usage.

How accurate is this cost comparison?

List prices come from each provider's own pricing page and every model page shows when they were last verified. The capability scores are iOPTERA's editorial composites — informed by public benchmarks, not benchmark results themselves; the methodology page explains how they are set.

Which model scores higher on benchmarks?

GPT-4o scores 87 in coding and 90 in reasoning benchmarks. DeepSeek V3 scores 84 in coding and 84 in reasoning. See the full 5-category breakdown in the Benchmark Comparison section above.

What are the context window sizes of GPT-4o and DeepSeek V3?

GPT-4o supports a 128K-token context window while DeepSeek V3 supports 128K tokens. A larger context window lets you process more text in a single API call.

Which model is faster for real-time applications?

GPT-4o has a speed score of 90/100 and DeepSeek V3 scores 85/100 on our latency benchmark. For interactive chatbots and low-latency tasks, the higher speed score is preferable.

Can I calculate costs for my specific token volume?

Yes. Use the interactive cost calculator on this page. Enter your monthly token volume and adjust the prompt-to-completion ratio. You can also use presets for common scenarios like Customer Support Bots (~30M tokens/month) or Document Summarizers (~15M tokens/month).

Cost and performance comparison

GPT-4o vs DeepSeek V3

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 BDeepSeek

DeepSeek V3

Capability score (editorial)84/100

Cost / 1M Tokens: $0.52; 70% in · 30% out mix
Value Index (score÷cost): 158.7; Higher = better value

Speed: 85/100
Context: 128K
Tier: Fast Tier

Last list price before the model was retired.

Across the 25 languages we measured, it needs about 21% more tokens than OpenAI's for the same text. Costs by language

How we verify prices

In-depth analysis

GPT-4o vs DeepSeek V3: Detailed Comparison

GPT-4o is OpenAI's mid-range-tier language model with a 128K-token context window, excelling at vision/multimodal. DeepSeek V3 from DeepSeek is a lightweight-tier model supporting 128K tokens in context, with standout performance in data extraction.

GPT-4o costs 9.0x what DeepSeek V3 does for the same text. That is a steep premium, and it buys a 9-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. DeepSeek V3 costs $0.27/M input and $1.10/M output.

On iOPTERA's editorial scores, GPT-4o leads with 87/100 for coding and 90/100 for reasoning, against DeepSeek V3's 84/100 and 84/100.

Capability breakdown

Across the five core benchmark categories, here is how GPT-4o and DeepSeek V3 stack up head to head:

coding

GPT-4o leads

reasoning

GPT-4o leads

data extraction

GPT-4o leads

creative tasks

GPT-4o leads

vision/multimodal

GPT-4o leads

Best model by task

coding: GPT-4o wins with 87/100
reasoning: GPT-4o wins with 90/100
data extraction: GPT-4o wins with 92/100
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 DeepSeek V3 runs about $5.00 — DeepSeek V3 saves roughly $40.00 (89%) every month.

What actually decides it

GPT-4o and DeepSeek V3 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.

DeepSeek V3 and GPT-4o 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.

Context is effectively a tie: 128K against 128K. 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 — 90/100 versus 85/100. 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 DeepSeek V3 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 9.0x the price of DeepSeek V3. Reserve it for the requests that actually need it and route the rest to DeepSeek V3 — 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 term	GPT-4o	DeepSeek V3
List price (input / output)	$2.50 / $10.00	$0.27 / $1.10
Cached input	$1.2550% of the input price	—
Batch API	50% 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.

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

Capability scores

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

CategoryGPT-4oDeepSeek V3Winner

Coding

Reasoning

Extraction

Creative

Vision

GPT-4o: 5 wins

DeepSeek V3: 0 wins

GPT-4o leads overall

Speed Score

90/100vs85/100

GPT-4oDeepSeek

Context Window

128Kvs128K

GPT-4oDeepSeek

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
DeepSeek V3: $0.11

Business email

One typical email (~200 words)

~270 tokens

GPT-4o: $67.50
DeepSeek V3: $7.44

Code file

50-line Python script

~400 tokens

GPT-4o: $100.00
DeepSeek V3: $11.02

Prices shown are for 100,000 runs of each workload — one run costs a fraction of a cent on both GPT-4o and DeepSeek V3, 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

Monthly Token Volume

30M tokens

Prompt / Completion Split

Prompt 70%Completion 30%

GPT-4o

$142.50/mo

$1,710.00/yr

$2.50/M input$10.00/M output

Cheaper

DeepSeek V3

$15.88/mo

$190.58/yr

$0.27/M input$1.10/M output

Annual Savings

$1,519.42 saved per year

DeepSeek V3 cheaper · $126.62/mo

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