Model Comparison

Claude 3.5 Haiku vs DeepSeek-V3

DeepSeek-V3 significantly outperforms across most benchmarks. DeepSeek-V3 is 3.4x cheaper per token.

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Performance Benchmarks

Comparative analysis across standard metrics

4 benchmarks

Claude 3.5 Haiku outperforms in 0 benchmarks, while DeepSeek-V3 is better at 4 benchmarks (DROP, GPQA, MMLU-Pro, SWE-Bench Verified).

DeepSeek-V3 significantly outperforms across most benchmarks.

Mon Apr 13 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

DeepSeek-V3 costs less

For input processing, Claude 3.5 Haiku ($0.80/1M tokens) is 3.0x more expensive than DeepSeek-V3 ($0.27/1M tokens).

For output processing, Claude 3.5 Haiku ($4.00/1M tokens) is 3.6x more expensive than DeepSeek-V3 ($1.10/1M tokens).

In conclusion, Claude 3.5 Haiku is more expensive than DeepSeek-V3.*

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

Lowest available price from all providers
Mon Apr 13 2026 • llm-stats.com
Anthropic
Claude 3.5 Haiku
Input tokens$0.80
Output tokens$4.00
Best providerAWS Bedrock
DeepSeek
DeepSeek-V3
Input tokens$0.27
Output tokens$1.10
Best providerDeepSeek
Notice missing or incorrect data?Start an Issue→

Context Window

Maximum input and output token capacity

Claude 3.5 Haiku accepts 200,000 input tokens compared to DeepSeek-V3's 131,072 tokens. Claude 3.5 Haiku can generate longer responses up to 200,000 tokens, while DeepSeek-V3 is limited to 131,072 tokens.

Anthropic
Claude 3.5 Haiku
Input200,000 tokens
Output200,000 tokens
DeepSeek
DeepSeek-V3
Input131,072 tokens
Output131,072 tokens
Mon Apr 13 2026 • llm-stats.com

License

Usage and distribution terms

Claude 3.5 Haiku is licensed under a proprietary license, 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.

Claude 3.5 Haiku

Proprietary

Closed source

DeepSeek-V3

MIT + Model License (Commercial use allowed)

Open weights

Release Timeline

When each model was launched

Claude 3.5 Haiku was released on 2024-10-22, while DeepSeek-V3 was released on 2024-12-25.

DeepSeek-V3 is 2 months newer than Claude 3.5 Haiku.

Claude 3.5 Haiku

Oct 22, 2024

1.5 years ago

DeepSeek-V3

Dec 25, 2024

1.3 years ago

2mo newer

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

Claude 3.5 Haiku is available from Bedrock, Google, Anthropic. DeepSeek-V3 is available from DeepSeek.

Claude 3.5 Haiku

bedrock logo
AWS Bedrock
Input Price:Input: $0.80/1MOutput Price:Output: $4.00/1M
google logo
Google
Input Price:Input: $0.80/1MOutput Price:Output: $4.00/1M
anthropic logo
Anthropic
Input Price:Input: $1.00/1MOutput Price:Output: $5.00/1M

DeepSeek-V3

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

Outputs Comparison

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Key Takeaways

Anthropic
Larger context window (200,000 tokens)
DeepSeek
Less expensive input tokens
Less expensive output tokens
Has open weights
Higher DROP score (91.6% vs 83.1%)
Higher GPQA score (59.1% vs 41.6%)
Higher MMLU-Pro score (75.9% vs 65.0%)
Higher SWE-Bench Verified score (42.0% vs 40.6%)

Detailed Comparison

AI Model Comparison Table
Feature
Anthropic
Claude 3.5 Haiku
DeepSeek
DeepSeek-V3

FAQ

Common questions about Claude 3.5 Haiku vs DeepSeek-V3

DeepSeek-V3 significantly outperforms across most benchmarks. Claude 3.5 Haiku is made by Anthropic and DeepSeek-V3 is made by DeepSeek. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.
Claude 3.5 Haiku scores HumanEval: 88.1%, MGSM: 85.6%, DROP: 83.1%, MATH: 69.4%, MMLU-Pro: 65.0%. DeepSeek-V3 scores DROP: 91.6%, CLUEWSC: 90.9%, MATH-500: 90.2%, MMLU-Redux: 89.1%, MMLU: 88.5%.
DeepSeek-V3 is 3.0x cheaper for input tokens. Claude 3.5 Haiku costs $0.80/M input and $4.00/M output via bedrock. DeepSeek-V3 costs $0.27/M input and $1.10/M output via deepseek.
Claude 3.5 Haiku supports 200K 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 context window (200K vs 131K), input pricing ($0.80 vs $0.27/M), licensing (Proprietary vs MIT + Model License (Commercial use allowed)). See the full comparison above for benchmark-by-benchmark results.
Claude 3.5 Haiku is developed by Anthropic and DeepSeek-V3 is developed by DeepSeek.