Claude Haiku 4.5 vs DeepSeek R1 Distill Llama 70B
Claude Haiku 4.5 significantly outperforms across most benchmarks. DeepSeek R1 Distill Llama 70B is 11.4x cheaper per token.
Anthropic · DeepSeek · Updated for 2026
Which is better?
Claude Haiku 4.5 outperforms in 1 benchmarks (GPQA), while DeepSeek R1 Distill Llama 70B is better at 0 benchmarks. Claude Haiku 4.5 significantly outperforms across most benchmarks.
On price, DeepSeek R1 Distill Llama 70B is roughly 11.4x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Claude Haiku 4.5 also accepts a larger context window (200,000 input tokens), making it the stronger choice for long documents and large codebases.
Based on current benchmark, pricing, and model metadata for 2026.
Choose Claude Haiku 4.5
- you want the strongest raw capability — it leads on 1 of 1 shared benchmarks
- you process long inputs — it offers a 200,000 token context window
- you want the most recent training data — it shipped Oct 2025
Choose DeepSeek R1 Distill Llama 70B
- cost matters — it's about 11.4x cheaper per token
- you need open weights you can self-host or fine-tune
At a glance
The differences that matter most.
Performance Benchmarks
Comparative analysis across standard metrics
Claude Haiku 4.5 outperforms in 1 benchmarks (GPQA), while DeepSeek R1 Distill Llama 70B is better at 0 benchmarks.
Claude Haiku 4.5 significantly outperforms across most benchmarks.
Arena Performance
Playground indexes and blind preference scores
Pricing Analysis
Price comparison per million tokens
For input processing, Claude Haiku 4.5 ($1.00/1M tokens) is 10.0x more expensive than DeepSeek R1 Distill Llama 70B ($0.10/1M tokens).
For output processing, Claude Haiku 4.5 ($5.00/1M tokens) is 12.5x more expensive than DeepSeek R1 Distill Llama 70B ($0.40/1M tokens).
In conclusion, Claude Haiku 4.5 is more expensive than DeepSeek R1 Distill Llama 70B.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
Claude Haiku 4.5 accepts 200,000 input tokens compared to DeepSeek R1 Distill Llama 70B's 128,000 tokens. DeepSeek R1 Distill Llama 70B can generate longer responses up to 128,000 tokens, while Claude Haiku 4.5 is limited to 64,000 tokens.
Input Capabilities
Supported data types and modalities
Claude Haiku 4.5 supports multimodal inputs, whereas DeepSeek R1 Distill Llama 70B does not.
Claude Haiku 4.5 can handle both text and other forms of data like images, making it suitable for multimodal applications.
Claude Haiku 4.5
DeepSeek R1 Distill Llama 70B
License
Usage and distribution terms
Claude Haiku 4.5 is licensed under a proprietary license, while DeepSeek R1 Distill Llama 70B uses MIT.
License differences may affect how you can use these models in commercial or open-source projects.
Proprietary
Closed source
MIT
Open weights
Release Timeline
When each model was launched
Claude Haiku 4.5 was released on 2025-10-15, while DeepSeek R1 Distill Llama 70B was released on 2025-01-20.
Claude Haiku 4.5 is 9 months newer than DeepSeek R1 Distill Llama 70B.
Oct 15, 2025
10 months ago
8mo newerJan 20, 2025
1.6 years ago
Knowledge Cutoff
When training data ends
Claude Haiku 4.5 has a documented knowledge cutoff of 2025-02-01, while DeepSeek R1 Distill Llama 70B's cutoff date is not specified.
We can confirm Claude Haiku 4.5's training data extends to 2025-02-01, but cannot make a direct comparison without DeepSeek R1 Distill Llama 70B's cutoff date.
Feb 2025
—
Provider Availability
Claude Haiku 4.5 is available from Anthropic, Vertex AI. DeepSeek R1 Distill Llama 70B is available from DeepInfra.
Claude Haiku 4.5
DeepSeek R1 Distill Llama 70B
Outputs Comparison
Judge for yourself.
Run your own prompts against Claude Haiku 4.5 and DeepSeek R1 Distill Llama 70B side-by-side, then vote on the output you prefer.
FAQ
Common questions about Claude Haiku 4.5 vs DeepSeek R1 Distill Llama 70B.