Model Comparison

DeepSeek R1 Distill Qwen 1.5B vs Claude 3.5 Haiku

Claude 3.5 Haiku significantly outperforms across most benchmarks.

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Performance Benchmarks

Comparative analysis across standard metrics

1 benchmarks

DeepSeek R1 Distill Qwen 1.5B outperforms in 0 benchmarks, while Claude 3.5 Haiku is better at 1 benchmark (GPQA).

Claude 3.5 Haiku significantly outperforms across most benchmarks.

Mon Mar 30 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Cost data unavailable.

Lowest available price from all providers
Mon Mar 30 2026 • llm-stats.com
DeepSeek
DeepSeek R1 Distill Qwen 1.5B
Input tokens$0.00
Output tokens$0.00
Best providerUnknown Organization
Anthropic
Claude 3.5 Haiku
Input tokens$0.80
Output tokens$4.00
Best providerAWS Bedrock
Notice missing or incorrect data?Start an Issue→

Context Window

Maximum input and output token capacity

Only Claude 3.5 Haiku specifies input context (200,000 tokens). Only Claude 3.5 Haiku specifies output context (200,000 tokens).

DeepSeek
DeepSeek R1 Distill Qwen 1.5B
Input- tokens
Output- tokens
Anthropic
Claude 3.5 Haiku
Input200,000 tokens
Output200,000 tokens
Mon Mar 30 2026 • llm-stats.com

License

Usage and distribution terms

DeepSeek R1 Distill Qwen 1.5B is licensed under MIT, while Claude 3.5 Haiku uses a proprietary license.

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

DeepSeek R1 Distill Qwen 1.5B

MIT

Open weights

Claude 3.5 Haiku

Proprietary

Closed source

Release Timeline

When each model was launched

DeepSeek R1 Distill Qwen 1.5B was released on 2025-01-20, while Claude 3.5 Haiku was released on 2024-10-22.

DeepSeek R1 Distill Qwen 1.5B is 3 months newer than Claude 3.5 Haiku.

DeepSeek R1 Distill Qwen 1.5B

Jan 20, 2025

1.2 years ago

3mo newer
Claude 3.5 Haiku

Oct 22, 2024

1.4 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

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Key Takeaways

DeepSeek
Has open weights
Anthropic
Larger context window (200,000 tokens)
Higher GPQA score (41.6% vs 33.8%)

Detailed Comparison

AI Model Comparison Table
Feature
DeepSeek
DeepSeek R1 Distill Qwen 1.5B
Anthropic
Claude 3.5 Haiku

FAQ

Common questions about DeepSeek R1 Distill Qwen 1.5B vs Claude 3.5 Haiku

Claude 3.5 Haiku significantly outperforms across most benchmarks. DeepSeek R1 Distill Qwen 1.5B is made by DeepSeek and Claude 3.5 Haiku is made by Anthropic. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.
DeepSeek R1 Distill Qwen 1.5B scores MATH-500: 83.9%, AIME 2024: 52.7%, GPQA: 33.8%, LiveCodeBench: 16.9%. Claude 3.5 Haiku scores HumanEval: 88.1%, MGSM: 85.6%, DROP: 83.1%, MATH: 69.4%, MMLU-Pro: 65.0%.
DeepSeek R1 Distill Qwen 1.5B supports an unknown number of tokens and Claude 3.5 Haiku supports 200K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.
Key differences include licensing (MIT vs Proprietary). See the full comparison above for benchmark-by-benchmark results.
DeepSeek R1 Distill Qwen 1.5B is developed by DeepSeek and Claude 3.5 Haiku is developed by Anthropic.