Model Comparison

DeepSeek-R1 vs DeepSeek-V3

Comparing DeepSeek-R1 and DeepSeek-V3 across benchmarks, pricing, and capabilities.

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Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

DeepSeek-R1 and DeepSeek-V3 don't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

DeepSeek-V3 costs less

For input processing, DeepSeek-R1 ($0.55/1M tokens) is 2.0x more expensive than DeepSeek-V3 ($0.27/1M tokens).

For output processing, DeepSeek-R1 ($2.19/1M tokens) is 2.0x more expensive than DeepSeek-V3 ($1.10/1M tokens).

In conclusion, DeepSeek-R1 is more expensive than DeepSeek-V3.*

* Using a 3:1 ratio of input to output tokens

Lowest available price from all providers
Sat Apr 18 2026 • llm-stats.com
DeepSeek
DeepSeek-R1
Input tokens$0.55
Output tokens$2.19
Best providerDeepSeek
DeepSeek
DeepSeek-V3
Input tokens$0.27
Output tokens$1.10
Best providerDeepSeek
Notice missing or incorrect data?Start an Issue→

Model Size

Parameter count comparison

0.0M diff

DeepSeek-V3 has 0.0B more parameters than DeepSeek-R1, making it 0.0% larger.

DeepSeek
DeepSeek-R1
671.0Bparameters
DeepSeek
DeepSeek-V3
671.0Bparameters
671.0B
DeepSeek-R1
671.0B
DeepSeek-V3

Context Window

Maximum input and output token capacity

Both models have the same input context window of 131,072 tokens. Both models can generate responses up to 131,072 tokens.

DeepSeek
DeepSeek-R1
Input131,072 tokens
Output131,072 tokens
DeepSeek
DeepSeek-V3
Input131,072 tokens
Output131,072 tokens
Sat Apr 18 2026 • llm-stats.com

License

Usage and distribution terms

DeepSeek-R1 is licensed under MIT, while DeepSeek-V3 uses MIT + Model License (Commercial use allowed).

License differences may affect how you can use these models in commercial or open-source projects.

DeepSeek-R1

MIT

Open weights

DeepSeek-V3

MIT + Model License (Commercial use allowed)

Open weights

Release Timeline

When each model was launched

DeepSeek-R1 was released on 2025-01-20, while DeepSeek-V3 was released on 2024-12-25.

DeepSeek-R1 is 1 month newer than DeepSeek-V3.

DeepSeek-R1

Jan 20, 2025

1.2 years ago

3w newer
DeepSeek-V3

Dec 25, 2024

1.3 years ago

Knowledge Cutoff

When training data ends

Neither model specifies a knowledge cutoff date.

Unable to compare the recency of their training data.

No cutoff dates available

Provider Availability

DeepSeek-R1 is available from DeepSeek, DeepInfra, Together, Fireworks. DeepSeek-V3 is available from DeepSeek.

DeepSeek-R1

deepseek logo
DeepSeek
Input Price:Input: $0.55/1MOutput Price:Output: $2.19/1M
deepinfra logo
Deepinfra
Input Price:Input: $0.85/1MOutput Price:Output: $2.50/1M
together logo
Together
Input Price:Input: $7.00/1MOutput Price:Output: $7.00/1M
fireworks logo
Fireworks
Input Price:Input: $8.00/1MOutput Price:Output: $8.00/1M

DeepSeek-V3

deepseek logo
DeepSeek
Input Price:Input: $0.27/1MOutput Price:Output: $1.10/1M
* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Key Takeaways

DeepSeek
DeepSeek
Less expensive input tokens
Less expensive output tokens

Detailed Comparison

AI Model Comparison Table
Feature
DeepSeek
DeepSeek-R1
DeepSeek
DeepSeek-V3

FAQ

Common questions about DeepSeek-R1 vs DeepSeek-V3

DeepSeek-R1 (DeepSeek) and DeepSeek-V3 (DeepSeek) each have strengths in different areas. Compare their benchmark scores, pricing, context windows, and capabilities above to determine which fits your needs.
DeepSeek-V3 scores DROP: 91.6%, CLUEWSC: 90.9%, MATH-500: 90.2%, MMLU-Redux: 89.1%, MMLU: 88.5%.
DeepSeek-V3 is 2.0x cheaper for input tokens. DeepSeek-R1 costs $0.55/M input and $2.19/M output via deepseek. DeepSeek-V3 costs $0.27/M input and $1.10/M output via deepseek.
DeepSeek-R1 supports 131K tokens and DeepSeek-V3 supports 131K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.
Key differences include input pricing ($0.55 vs $0.27/M), licensing (MIT vs MIT + Model License (Commercial use allowed)). See the full comparison above for benchmark-by-benchmark results.