DeepSeek R1 costs a fraction of GPT-5.4 — roughly $0.55/1M input vs $2.50 — and is strong at chain-of-thought reasoning tasks. GPT-5.4 wins on practical task breadth, reliability, agentic capabilities, and speed. DeepSeek R1 is the right pick when cost is the primary constraint and reasoning is the primary task. For most production workflows, GPT-5.4 is more capable and far more consistent.
DeepSeekBudget
DeepSeek R1
Open-source o1-class reasoning at a fraction of the cost.
VS
OpenAIPremium
GPT-5.4
Best for agentic automation and desktop control workflows.
Winner
At a glance
DeepSeek R1
GPT-5.4
Input cost / 1M tokens
$$0.55/1M
$$2.50/1M
Output cost / 1M tokens
$$2.19/1M
$$15.00/1M
Context window
128k tokens
272k tokens
Speed
Deliberate
Balanced
Price tier
Budget
Premium
Benchmarks
SWE-bench (coding)
49.2%
74.9%
Arena Elo
1,320
1,355
MMLU
90.8%
91%
How they compare
Which model wins for each use case — and why.
ReasoningTie
DeepSeek R1 was built specifically for chain-of-thought reasoning and trades blows with GPT-5.4 on logic-heavy benchmarks. For pure reasoning tasks, they're comparable — DeepSeek R1 at a fraction of the cost.
CodingGPT-5.4 wins
GPT-5.4 is more reliable for production coding tasks and has desktop computer-use capabilities. DeepSeek R1 handles code but lacks the practical depth and consistency of GPT-5.4.
PriceDeepSeek R1 wins
DeepSeek R1 is dramatically cheaper — roughly $0.55/1M input vs GPT-5.4's $2.50/1M. For high-volume reasoning or classification tasks, the savings are significant.
SpeedGPT-5.4 wins
DeepSeek R1 is a reasoning model that thinks before responding — it's slower by design. GPT-5.4 is faster for most everyday tasks.
ReliabilityGPT-5.4 wins
GPT-5.4 is a more battle-tested production model with broader task coverage. DeepSeek R1 excels at structured reasoning but can be inconsistent on diverse, open-ended tasks.
Which should you pick?
Pick DeepSeek R1 if…
Cost is your primary constraint and reasoning or logic is your main task type
You're building classification, evaluation, or chain-of-thought pipelines at high volume
You want to run structured reasoning tasks at a fraction of frontier model pricing
For most workflows, GPT-5.4 is the stronger choice.
Best choice when you need a model that can operate software autonomously at the older GPT-5.4 price tier. For current premium coding quality, Claude Opus 4.7 leads.
The case for each model
What each one is genuinely good at, where it falls down, and when we would steer you away from it.
The runner-up here, but not by a wide margin. Against GPT-5.4 it costs about 84% less per token.
Open-source reasoning model that matches o1-class performance on math, science, and complex coding at a fraction of the cost — the best open alternative to proprietary reasoning models.
Input
$0.55/1M
Output
$2.19/1M
Context
128k tokens
Speed
Deliberate
What people actually use it for
Complex algorithm design and mathematical problem-solving where chain-of-thought reasoning matters
Scientific research synthesis requiring structured multi-step analysis
Hard coding challenges and competitive programming at low cost compared to o1
Where it wins
o1-class reasoning performance at under $0.60/1M input tokens
Open-source weights — can be self-hosted for sensitive workloads
Explicit chain-of-thought reasoning makes outputs auditable
Where it falls down
Slow — deliberate reasoning takes significantly longer than standard models
Overkill for routine tasks where a faster model gets the same result
Same data sovereignty concerns as DeepSeek V3 for regulated industries
Skip it if
Speed matters — R1's deliberate reasoning makes it wrong for interactive or high-throughput use cases.
Our verdict
The open-source reasoning model benchmark. If you need o1-class thinking at open-source pricing, nothing else competes.
Full pricing, benchmark table and release notes on the DeepSeek R1 page.
Our overall pick in this comparison. Against DeepSeek R1 it costs about 84% more per token, takes 2x the context and answers faster.
OpenAI's latest flagship with unique desktop-control capabilities — it can see your screen, click, and navigate apps via the API.
Input
$2.50/1M
Output
$15.00/1M
Context
272k tokens
Speed
Balanced
What people actually use it for
Building agents that browse the web and operate desktop software autonomously via the API
Complex multi-step reasoning for financial modeling and decision analysis
Autonomous test-run-debug loops for coding with computer-use control
Where it wins
Only frontier model that can control a desktop via API (click, type, navigate)
Strong at multi-step agentic tasks and autonomous workflows
Competitive coding performance with 74.9% SWE-bench score
Where it falls down
Claude Opus 4.7 and GPT-5.5 now outperform it on current premium coding benchmarks
Smaller context window (272K) vs Gemini 3.1 Pro (2M) for research
Skip it if
You need the highest current coding benchmark scores — Claude Opus 4.7 and GPT-5.5 are newer premium picks.
Our verdict
Best choice when you need a model that can operate software autonomously at the older GPT-5.4 price tier. For current premium coding quality, Claude Opus 4.7 leads.
Full pricing, benchmark table and release notes on the GPT-5.4 page.
Frequently asked questions
Is DeepSeek better than ChatGPT?
DeepSeek R1 is better on cost — it's roughly 5× cheaper than GPT-5.4. ChatGPT is better on practical task breadth, reliability, speed, and agentic capabilities. For most production use cases, ChatGPT is the stronger overall pick.
Is DeepSeek cheaper than ChatGPT?
Yes, dramatically. DeepSeek R1 costs around $0.55/1M input tokens vs GPT-5.4's $2.50/1M. The cost gap is significant enough to matter for high-volume API workloads.
Is DeepSeek as good as ChatGPT for coding?
For structured coding tasks, DeepSeek R1 is capable. But GPT-5.4 is more reliable across diverse coding scenarios, has computer-use capabilities, and has a much larger ecosystem of integrations.
Is DeepSeek safe to use?
DeepSeek is a Chinese-developed model with different privacy and data handling policies than OpenAI or Anthropic. For sensitive business data, review their data policies carefully before using the API.
When should I use DeepSeek instead of ChatGPT?
Use DeepSeek R1 when cost is the main constraint and your task is structured reasoning, logic, or evaluation at high volume. Use ChatGPT (GPT-5.4) when reliability, speed, and task diversity matter more than minimizing cost.