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DeepSeek R1 vs GPT-5

DeepSeek R1 and GPT-5 are both Conversational AI tools in our directory. This side-by-side comparison covers pricing, editorial scores, supported platforms, key features and open-source status so you can decide which one fits your needs.

Side-by-side comparison

AttributeDeepSeek R1GPT-5
Product statusStatus not recordedActive
VendorDeepSeekOpenAI
Rating★ 4.6★ 4.7
PricingFreePay-as-you-go
PlatformsSelf-hosted, Model weightsAPI
Key featuresDownloadable R1 weights, Reasoning-text generation, Separate Qwen/Llama-derived distilled variantsConfigurable minimal/low/medium/high reasoning effort, Text and image input; text output, Function calling and structured outputs
Headquarters——
Launched—2025
Open sourceYesNo

Key differences

  • GPT-5 carries the higher editorial score (4.7★ vs 4.6★).
  • DeepSeek R1 is Free, while GPT-5 is Pay-as-you-go.
  • DeepSeek R1 is open source (its code is public), while GPT-5 is proprietary.
  • DeepSeek R1 runs on Self-hosted, Model weights; GPT-5 runs on API.

DeepSeek R1 and GPT-5 at a glance

DeepSeek R1

DeepSeek

DeepSeek's original downloadable R1 reasoning model and related distilled checkpoints, with model-specific licenses and self-managed computing costs.

Rating
4.6★
Pricing
Free

Editorial verdict

Consider the original R1 weights when you can evaluate outputs and operate the required stack; confirm any hosted R1 offer separately.

Strengths

  • Original model code/weights are published
  • Checkpoint and prompting guidance

Key features

  • Downloadable R1 weights
  • Reasoning-text generation
  • Separate Qwen/Llama-derived distilled variants

Best for

  • Reviewed reasoning or code experiments
  • Evaluating a specifically licensed checkpoint
Read the full DeepSeek R1 review →

GPT-5

OpenAI

OpenAI's original GPT-5 API reasoning model with configurable effort, text/image input and text output. The gpt-5-2025-08-07 snapshot is deprecated with API removal scheduled for December 11, 2026.

Rating
4.7★
Pricing
Pay-as-you-go

Editorial verdict

A legacy API model with a published retirement deadline. Existing users can use this record to plan migration; new long-lived deployments should evaluate supported models and verify account access.

Strengths

  • Explicit reasoning-effort settings
  • Documented function calls and structured outputs
  • Snapshot ID helps track a legacy integration

Key features

  • Configurable minimal/low/medium/high reasoning effort
  • Text and image input; text output
  • Function calling and structured outputs
  • Streaming responses
  • Original snapshot scheduled to retire December 11, 2026

Best for

  • Maintaining an existing coding or analysis integration during migration
  • Comparing structured outputs and tool behavior against a replacement
Read the full GPT-5 review →

Feature overlap

  • The two tools have no listed features in common — see both feature lists above.
  • DeepSeek R1 also lists: Downloadable R1 weights, Reasoning-text generation, Separate Qwen/Llama-derived distilled variants
  • GPT-5 also lists: Configurable minimal/low/medium/high reasoning effort, Text and image input; text output, Function calling and structured outputs, Streaming responses, Original snapshot scheduled to retire December 11, 2026

Frequently asked questions

Is DeepSeek R1 or GPT-5 better?

By editorial score, GPT-5 scores higher (4.7★ vs 4.6★). Both are capable Conversational AI tools, so review the feature comparison for your use case.

Which is cheaper, DeepSeek R1 or GPT-5?

DeepSeek R1 is Free and GPT-5 is Pay-as-you-go. Check each product page for current plan details.

Are DeepSeek R1 and GPT-5 open source?

DeepSeek R1 is open source, while GPT-5 is proprietary.

What platforms do DeepSeek R1 and GPT-5 support?

DeepSeek R1 supports Self-hosted, Model weights; GPT-5 supports API.

What are the main features of DeepSeek R1 and GPT-5?

DeepSeek R1: Downloadable R1 weights, Reasoning-text generation, Separate Qwen/Llama-derived distilled variants. GPT-5: Configurable minimal/low/medium/high reasoning effort, Text and image input; text output, Function calling and structured outputs, Streaming responses, Original snapshot scheduled to retire December 11, 2026.

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