Model Comparison

Claude Opus 4.6 vs DeepSeek R1 Distill Qwen 7B

Claude Opus 4.6 significantly outperforms across most benchmarks.

Want to compare interactively?Try the playground

Performance Benchmarks

Comparative analysis across standard metrics

1 benchmarks

Claude Opus 4.6 outperforms in 1 benchmarks (GPQA), while DeepSeek R1 Distill Qwen 7B is better at 0 benchmarks.

Claude Opus 4.6 significantly outperforms across most benchmarks.

Thu Apr 16 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
Thu Apr 16 2026 • llm-stats.com
Anthropic
Claude Opus 4.6
Input tokens$5.00
Output tokens$25.00
Best providerAnthropic
DeepSeek
DeepSeek R1 Distill Qwen 7B
Input tokens$0.00
Output tokens$0.00
Best providerUnknown Organization
Notice missing or incorrect data?Start an Issue→

Context Window

Maximum input and output token capacity

Only Claude Opus 4.6 specifies input context (1,000,000 tokens). Only Claude Opus 4.6 specifies output context (128,000 tokens).

Anthropic
Claude Opus 4.6
Input1,000,000 tokens
Output128,000 tokens
DeepSeek
DeepSeek R1 Distill Qwen 7B
Input- tokens
Output- tokens
Thu Apr 16 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Claude Opus 4.6 supports multimodal inputs, whereas DeepSeek R1 Distill Qwen 7B does not.

Claude Opus 4.6 can handle both text and other forms of data like images, making it suitable for multimodal applications.

Claude Opus 4.6

Text
Images
Audio
Video

DeepSeek R1 Distill Qwen 7B

Text
Images
Audio
Video

License

Usage and distribution terms

Claude Opus 4.6 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 Opus 4.6

Proprietary

Closed source

DeepSeek R1 Distill Qwen 7B

MIT

Open weights

Release Timeline

When each model was launched

Claude Opus 4.6 was released on 2026-02-05, while DeepSeek R1 Distill Qwen 7B was released on 2025-01-20.

Claude Opus 4.6 is 13 months newer than DeepSeek R1 Distill Qwen 7B.

Claude Opus 4.6

Feb 5, 2026

2 months ago

1.0yr newer
DeepSeek R1 Distill Qwen 7B

Jan 20, 2025

1.2 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

Anthropic
Larger context window (1,000,000 tokens)
Supports multimodal inputs
Higher GPQA score (91.3% vs 49.1%)
DeepSeek
Has open weights

Detailed Comparison

AI Model Comparison Table
Feature
Anthropic
Claude Opus 4.6
DeepSeek
DeepSeek R1 Distill Qwen 7B

FAQ

Common questions about Claude Opus 4.6 vs DeepSeek R1 Distill Qwen 7B

Claude Opus 4.6 significantly outperforms across most benchmarks. Claude Opus 4.6 is made by Anthropic and DeepSeek R1 Distill Qwen 7B is made by DeepSeek. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.
Claude Opus 4.6 scores Vending-Bench 2: 100.0%, AIME 2025: 99.8%, Tau2 Telecom: 99.3%, Graphwalks parents >128k: 95.4%, MRCR v2 (8-needle): 93.0%. DeepSeek R1 Distill Qwen 7B scores MATH-500: 92.8%, AIME 2024: 83.3%, GPQA: 49.1%, LiveCodeBench: 37.6%.
Claude Opus 4.6 supports 1.0M 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.
Key differences include multimodal support (yes vs no), licensing (Proprietary vs MIT). See the full comparison above for benchmark-by-benchmark results.
Claude Opus 4.6 is developed by Anthropic and DeepSeek R1 Distill Qwen 7B is developed by DeepSeek.