Model Comparison

DeepSeek-V3 vs Claude 3 Haiku

DeepSeek-V3 significantly outperforms across most benchmarks. DeepSeek-V3 is 1.0x cheaper per token.

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Performance Benchmarks

Comparative analysis across standard metrics

3 benchmarks

DeepSeek-V3 outperforms in 3 benchmarks (DROP, GPQA, MMLU), while Claude 3 Haiku is better at 0 benchmarks.

DeepSeek-V3 significantly outperforms across most benchmarks.

Wed Apr 22 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

DeepSeek-V3 costs less

For input processing, DeepSeek-V3 ($0.27/1M tokens) is 1.1x more expensive than Claude 3 Haiku ($0.25/1M tokens).

For output processing, DeepSeek-V3 ($1.10/1M tokens) is 1.1x cheaper than Claude 3 Haiku ($1.25/1M tokens).

In conclusion, Claude 3 Haiku is more expensive than DeepSeek-V3.*

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

Lowest available price from all providers
Wed Apr 22 2026 • llm-stats.com
DeepSeek
DeepSeek-V3
Input tokens$0.27
Output tokens$1.10
Best providerDeepSeek
Anthropic
Claude 3 Haiku
Input tokens$0.25
Output tokens$1.25
Best providerAnthropic
Notice missing or incorrect data?Start an Issue→

Context Window

Maximum input and output token capacity

Claude 3 Haiku accepts 200,000 input tokens compared to DeepSeek-V3's 131,072 tokens. Claude 3 Haiku can generate longer responses up to 200,000 tokens, while DeepSeek-V3 is limited to 131,072 tokens.

DeepSeek
DeepSeek-V3
Input131,072 tokens
Output131,072 tokens
Anthropic
Claude 3 Haiku
Input200,000 tokens
Output200,000 tokens
Wed Apr 22 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Claude 3 Haiku supports multimodal inputs, whereas DeepSeek-V3 does not.

Claude 3 Haiku can handle both text and other forms of data like images, making it suitable for multimodal applications.

DeepSeek-V3

Text
Images
Audio
Video

Claude 3 Haiku

Text
Images
Audio
Video

License

Usage and distribution terms

DeepSeek-V3 is licensed under MIT + Model License (Commercial use allowed), while Claude 3 Haiku uses a proprietary license.

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

DeepSeek-V3

MIT + Model License (Commercial use allowed)

Open weights

Claude 3 Haiku

Proprietary

Closed source

Release Timeline

When each model was launched

DeepSeek-V3 was released on 2024-12-25, while Claude 3 Haiku was released on 2024-03-13.

DeepSeek-V3 is 10 months newer than Claude 3 Haiku.

DeepSeek-V3

Dec 25, 2024

1.3 years ago

9mo newer
Claude 3 Haiku

Mar 13, 2024

2.1 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-V3 is available from DeepSeek. Claude 3 Haiku is available from Anthropic, Bedrock, Google.

DeepSeek-V3

deepseek logo
DeepSeek
Input Price:Input: $0.27/1MOutput Price:Output: $1.10/1M

Claude 3 Haiku

anthropic logo
Anthropic
Input Price:Input: $0.25/1MOutput Price:Output: $1.25/1M
bedrock logo
AWS Bedrock
Input Price:Input: $0.25/1MOutput Price:Output: $1.25/1M
google logo
Google
Input Price:Input: $0.25/1MOutput Price:Output: $1.25/1M
* Prices shown are per million tokens

Outputs Comparison

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Key Takeaways

DeepSeek
Less expensive output tokens
Has open weights
Higher DROP score (91.6% vs 78.4%)
Higher GPQA score (59.1% vs 33.3%)
Higher MMLU score (88.5% vs 75.2%)
Anthropic
Larger context window (200,000 tokens)
Supports multimodal inputs
Less expensive input tokens

Detailed Comparison

AI Model Comparison Table
Feature
DeepSeek
DeepSeek-V3
Anthropic
Claude 3 Haiku

FAQ

Common questions about DeepSeek-V3 vs Claude 3 Haiku

DeepSeek-V3 significantly outperforms across most benchmarks. DeepSeek-V3 is made by DeepSeek and Claude 3 Haiku is made by Anthropic. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.
DeepSeek-V3 scores DROP: 91.6%, CLUEWSC: 90.9%, MATH-500: 90.2%, MMLU-Redux: 89.1%, MMLU: 88.5%. Claude 3 Haiku scores ARC-C: 89.2%, GSM8k: 88.9%, HellaSwag: 85.9%, DROP: 78.4%, HumanEval: 75.9%.
Claude 3 Haiku is 1.1x cheaper for input tokens. DeepSeek-V3 costs $0.27/M input and $1.10/M output via deepseek. Claude 3 Haiku costs $0.25/M input and $1.25/M output via anthropic.
DeepSeek-V3 supports 131K tokens and Claude 3 Haiku supports 200K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.
Key differences include context window (131K vs 200K), input pricing ($0.27 vs $0.25/M), multimodal support (no vs yes), licensing (MIT + Model License (Commercial use allowed) vs Proprietary). See the full comparison above for benchmark-by-benchmark results.
DeepSeek-V3 is developed by DeepSeek and Claude 3 Haiku is developed by Anthropic.