Claude 3.5 Haiku vs DeepSeek R1 Distill Llama 70B
DeepSeek R1 Distill Llama 70B leads the LLM Stats Score 14.7 to 5.4. DeepSeek R1 Distill Llama 70B is 9.1x cheaper per token.
Anthropic · DeepSeek · Updated for 2026
Which is better?
DeepSeek R1 Distill Llama 70B leads the overall LLM Stats Score 14.7 to 5.4, ranking #222 overall.
In the 1 individual benchmarks reported for both models, DeepSeek R1 Distill Llama 70B wins 1; this is a narrower head-to-head signal than the composite indexes.
On price, DeepSeek R1 Distill Llama 70B is roughly 9.1x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Claude 3.5 Haiku also accepts a larger context window (200,000 input tokens), making it the stronger choice for long documents and large codebases.
Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.
Choose Claude 3.5 Haiku
- you process long inputs — it offers a 200,000 token context window
Choose DeepSeek R1 Distill Llama 70B
- overall performance matters — it scores 14.7 and ranks #222 on LLM Stats
- your work emphasizes reasoning — it leads those capability indexes
- you value its reported benchmark strengths — it wins 1 of 1 exact shared results
- cost matters — it's about 9.1x cheaper per token
- 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.
Capability indexes
Additional strengths measured across groups of related public benchmarks
Individual benchmarks
9 reported for Claude 3.5 Haiku · 4 for DeepSeek R1 Distill Llama 70B
Claude 3.5 Haiku outperforms in 0 benchmarks, while DeepSeek R1 Distill Llama 70B is better at 1 benchmark (GPQA).
DeepSeek R1 Distill Llama 70B significantly outperforms across most benchmarks.
Human preference
Blind head-to-head votes and playground preference scores
Pricing Analysis
Price comparison per million tokens
For input processing, Claude 3.5 Haiku ($0.80/1M tokens) is 8.0x more expensive than DeepSeek R1 Distill Llama 70B ($0.10/1M tokens).
For output processing, Claude 3.5 Haiku ($4.00/1M tokens) is 10.0x more expensive than DeepSeek R1 Distill Llama 70B ($0.40/1M tokens).
In conclusion, Claude 3.5 Haiku 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 3.5 Haiku accepts 200,000 input tokens compared to DeepSeek R1 Distill Llama 70B's 128,000 tokens. Claude 3.5 Haiku can generate longer responses up to 200,000 tokens, while DeepSeek R1 Distill Llama 70B is limited to 128,000 tokens.
License
Usage and distribution terms
Claude 3.5 Haiku 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 3.5 Haiku was released on 2024-10-22, while DeepSeek R1 Distill Llama 70B was released on 2025-01-20.
DeepSeek R1 Distill Llama 70B is 3 months newer than Claude 3.5 Haiku.
Oct 22, 2024
1.9 years ago
Jan 20, 2025
1.6 years ago
3mo newerKnowledge Cutoff
When training data ends
Neither model specifies a knowledge cutoff date.
Unable to compare the recency of their training data.
Provider Availability
Claude 3.5 Haiku is available from Bedrock, Google, Anthropic. DeepSeek R1 Distill Llama 70B is available from DeepInfra.
Claude 3.5 Haiku
DeepSeek R1 Distill Llama 70B
Outputs Comparison
Judge for yourself.
Run your own prompts against Claude 3.5 Haiku and DeepSeek R1 Distill Llama 70B side-by-side, then vote on the output you prefer.
FAQ
Common questions about Claude 3.5 Haiku vs DeepSeek R1 Distill Llama 70B.