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Claude 3.5 Haiku vs DeepSeek R1 Distill Qwen 7B

Claude 3.5 Haiku and DeepSeek R1 Distill Qwen 7B are closely matched at 5.8 and 8.9 on the LLM Stats Score.

Anthropic · DeepSeek · Updated for 2026

Which is better?

Claude 3.5 Haiku and DeepSeek R1 Distill Qwen 7B are closely matched on the overall LLM Stats Score at 5.8 and 8.9.

In the 1 individual benchmarks reported for both models, DeepSeek R1 Distill Qwen 7B wins 1; this is a narrower head-to-head signal than the composite indexes.

Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.

Choose Claude 3.5 Haiku

  • you want predictable pricing at $0.80/M input and $4.00/M output

Choose DeepSeek R1 Distill Qwen 7B

  • you value its reported benchmark strengths — it wins 1 of 1 exact shared results
  • you want the most recent training data — it shipped Jan 2025
  • you need open weights you can self-host or fine-tune

At a glance

The differences that matter most.

Core performance indexes
5.8
#276
8.9
#257
6.0
#274
9.2
#247
4.6
#191
2.1
#210
Cost, coverage & limits
Benchmark wins
0 of 1
1 of 1
Input price
$0.80 / M
— / M
Output price
$4.00 / M
— / M
Context window
200,000

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
Claude 3.5 Haiku
DeepSeek R1 Distill Qwen 7B
10.9#235
14.2#208
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

9 reported for Claude 3.5 Haiku · 4 for DeepSeek R1 Distill Qwen 7B

1 shared

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

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

Sat Aug 29 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

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).

Anthropic
Claude 3.5 Haiku
Input200,000 tokens
Output200,000 tokens
DeepSeek
DeepSeek R1 Distill Qwen 7B
Input- tokens
Output- tokens
Sat Aug 29 2026 • llm-stats.com

License

Usage and distribution terms

Claude 3.5 Haiku is licensed under a proprietary license, while DeepSeek R1 Distill Qwen 7B uses MIT.

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

Claude 3.5 Haiku

Proprietary

Closed source

DeepSeek R1 Distill Qwen 7B

MIT

Open weights

Release Timeline

When each model was launched

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

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

Claude 3.5 Haiku

Oct 22, 2024

1.9 years ago

DeepSeek R1 Distill Qwen 7B

Jan 20, 2025

1.6 years ago

3mo 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

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion

Judge for yourself.

Run your own prompts against Claude 3.5 Haiku and DeepSeek R1 Distill Qwen 7B side-by-side, then vote on the output you prefer.

Claude 3.5 Haiku
✓ Preferred
DeepSeek R1 Distill Qwen 7B
Open in Playground

FAQ

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

Which is better, Claude 3.5 Haiku or DeepSeek R1 Distill Qwen 7B?

Claude 3.5 Haiku and DeepSeek R1 Distill Qwen 7B are closely matched on the LLM Stats Score at 5.8 and 8.9. Claude 3.5 Haiku is made by Anthropic and DeepSeek R1 Distill Qwen 7B is made by DeepSeek. The best choice depends on your use case — compare their capability indexes, individual benchmarks, pricing, and limits above.

How does Claude 3.5 Haiku compare to DeepSeek R1 Distill Qwen 7B in benchmarks?

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 scores MATH-500: 92.8%, AIME 2024: 83.3%, GPQA: 49.1%, LiveCodeBench: 37.6%.

What are the context window sizes for Claude 3.5 Haiku and DeepSeek R1 Distill Qwen 7B?

Claude 3.5 Haiku supports 200K tokens and DeepSeek R1 Distill Qwen 7B supports an unknown number of tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between Claude 3.5 Haiku and DeepSeek R1 Distill Qwen 7B?

Key differences include LLM Stats Score (5.8 vs 8.9), licensing (Proprietary vs MIT). See the full comparison above for benchmark-by-benchmark results.

Who makes Claude 3.5 Haiku and DeepSeek R1 Distill Qwen 7B?

Claude 3.5 Haiku is developed by Anthropic and DeepSeek R1 Distill Qwen 7B is developed by DeepSeek.