Model Comparison

DeepSeek R1 Distill Qwen 7B vs Claude 3.5 Haiku

DeepSeek R1 Distill Qwen 7B significantly outperforms across most benchmarks.

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Performance Benchmarks

Comparative analysis across standard metrics

1 benchmarks

DeepSeek R1 Distill Qwen 7B outperforms in 1 benchmarks (GPQA), while Claude 3.5 Haiku is better at 0 benchmarks.

DeepSeek R1 Distill Qwen 7B significantly outperforms across most benchmarks.

Wed Apr 01 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
Wed Apr 01 2026 • llm-stats.com
DeepSeek
DeepSeek R1 Distill Qwen 7B
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 7B
Input- tokens
Output- tokens
Anthropic
Claude 3.5 Haiku
Input200,000 tokens
Output200,000 tokens
Wed Apr 01 2026 • llm-stats.com

License

Usage and distribution terms

DeepSeek R1 Distill Qwen 7B 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 7B

MIT

Open weights

Claude 3.5 Haiku

Proprietary

Closed source

Release Timeline

When each model was launched

DeepSeek R1 Distill Qwen 7B was released on 2025-01-20, while Claude 3.5 Haiku was released on 2024-10-22.

DeepSeek R1 Distill Qwen 7B is 3 months newer than Claude 3.5 Haiku.

DeepSeek R1 Distill Qwen 7B

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

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Key Takeaways

DeepSeek
Has open weights
Higher GPQA score (49.1% vs 41.6%)
Anthropic
Larger context window (200,000 tokens)

Detailed Comparison

AI Model Comparison Table
Feature
DeepSeek
DeepSeek R1 Distill Qwen 7B
Anthropic
Claude 3.5 Haiku

FAQ

Common questions about DeepSeek R1 Distill Qwen 7B vs Claude 3.5 Haiku

DeepSeek R1 Distill Qwen 7B significantly outperforms across most benchmarks. DeepSeek R1 Distill Qwen 7B 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 7B scores MATH-500: 92.8%, AIME 2024: 83.3%, GPQA: 49.1%, LiveCodeBench: 37.6%. 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 7B 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 7B is developed by DeepSeek and Claude 3.5 Haiku is developed by Anthropic.